init

.opencode/skills/docs-seeker/.env.example

@@ -0,0 +1,15 @@
+# Context7 API Configuration (optional)
+# Get your API key from https://context7.com/dashboard/api-keys
+CONTEXT7_API_KEY=
+
+# Gemini API Configuration (optional, for ai-multimodal integration)
+# Get your API key from https://aistudio.google.com/app/apikey
+GEMINI_API_KEY=
+
+# GitHub Token (optional, for higher rate limits on repository analysis)
+# Create at https://github.com/settings/tokens
+GITHUB_TOKEN=
+
+# Output settings
+OUTPUT_FORMAT=json
+DEBUG=false

.opencode/skills/docs-seeker/SKILL.md

@@ -0,0 +1,100 @@
+---
+name: ck:docs-seeker
+description: Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.
+argument-hint: "[library-name] [topic]"
+metadata:
+  author: claudekit
+  version: "3.1.0"
+---
+
+# Documentation Discovery via Scripts
+
+## Overview
+
+**Script-first** documentation discovery using llms.txt standard.
+
+Execute scripts to handle entire workflow - no manual URL construction needed.
+
+## Primary Workflow
+
+**ALWAYS execute scripts in this order:**
+
+```bash
+# 1. DETECT query type (topic-specific vs general)
+node scripts/detect-topic.js "<user query>"
+
+# 2. FETCH documentation using script output
+node scripts/fetch-docs.js "<user query>"
+
+# 3. ANALYZE results (if multiple URLs returned)
+cat llms.txt | node scripts/analyze-llms-txt.js -
+```
+
+Scripts handle URL construction, fallback chains, and error handling automatically.
+
+## Scripts
+
+**`detect-topic.js`** - Classify query type
+- Identifies topic-specific vs general queries
+- Extracts library name + topic keyword
+- Returns JSON: `{topic, library, isTopicSpecific}`
+- Zero-token execution
+
+**`fetch-docs.js`** - Retrieve documentation
+- Constructs context7.com URLs automatically
+- Handles fallback: topic → general → error
+- Outputs llms.txt content or error message
+- Zero-token execution
+
+**`analyze-llms-txt.js`** - Process llms.txt
+- Categorizes URLs (critical/important/supplementary)
+- Recommends agent distribution (1 agent, 3 agents, 7 agents, phased)
+- Returns JSON with strategy
+- Zero-token execution
+
+## Workflow References
+
+**[Topic-Specific Search](./workflows/topic-search.md)** - Fastest path (10-15s)
+
+**[General Library Search](./workflows/library-search.md)** - Comprehensive coverage (30-60s)
+
+**[Repository Analysis](./workflows/repo-analysis.md)** - Fallback strategy
+
+## References
+
+**[context7-patterns.md](./references/context7-patterns.md)** - URL patterns, known repositories
+
+**[errors.md](./references/errors.md)** - Error handling, fallback strategies
+
+**[advanced.md](./references/advanced.md)** - Edge cases, versioning, multi-language
+
+## Execution Principles
+
+1. **Scripts first** - Execute scripts instead of manual URL construction
+2. **Zero-token overhead** - Scripts run without context loading
+3. **Automatic fallback** - Scripts handle topic → general → error chains
+4. **Progressive disclosure** - Load workflows/references only when needed
+5. **Agent distribution** - Scripts recommend parallel agent strategy
+
+## Quick Start
+
+**Topic query:** "How do I use date picker in shadcn?"
+```bash
+node scripts/detect-topic.js "<query>"  # → {topic, library, isTopicSpecific}
+node scripts/fetch-docs.js "<query>"    # → 2-3 URLs
+# Read URLs with WebFetch
+```
+
+**General query:** "Documentation for Next.js"
+```bash
+node scripts/detect-topic.js "<query>"         # → {isTopicSpecific: false}
+node scripts/fetch-docs.js "<query>"           # → 8+ URLs
+cat llms.txt | node scripts/analyze-llms-txt.js -  # → {totalUrls, distribution}
+# Deploy agents per recommendation
+```
+
+## Environment
+
+Scripts load `.env`: `process.env` > `.opencode/skills/docs-seeker/.env` > `.opencode/skills/.env` > `.opencode/.env`
+
+See `.env.example` for configuration options.

.opencode/skills/docs-seeker/package.json

@@ -0,0 +1,25 @@
+{
+  "name": "docs-seeker-scripts",
+  "version": "3.0.0",
+  "description": "Documentation discovery scripts for docs-seeker skill",
+  "private": true,
+  "scripts": {
+    "test": "node scripts/tests/run-tests.js",
+    "test:detect": "node scripts/tests/test-detect-topic.js",
+    "test:fetch": "node scripts/tests/test-fetch-docs.js",
+    "test:analyze": "node scripts/tests/test-analyze-llms.js"
+  },
+  "keywords": [
+    "documentation",
+    "llms.txt",
+    "context7",
+    "docs-discovery"
+  ],
+  "author": "ClaudeKit",
+  "license": "MIT",
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=14.0.0"
+  }
+}

.opencode/skills/docs-seeker/references/advanced.md

@@ -0,0 +1,79 @@
+# Advanced Scenarios & Edge Cases
+
+## Multi-Language Documentation
+
+**Challenge:** Docs in multiple languages
+
+**Approach:**
+1. Identify target language from user
+2. Search for language-specific llms.txt
+   - `llms-es.txt`, `llms-ja.txt`
+3. Fallback to English if not found
+4. Note language limitations in report
+
+## Version-Specific Documentation
+
+**Latest (default):**
+- Use base llms.txt URL
+- No version specifier needed
+
+**Specific version:**
+```
+WebSearch: "[library] v[version] llms.txt"
+Check paths:
+- /v2/llms.txt
+- /docs/v2/llms.txt
+- /{version}/llms.txt
+
+For repos:
+git checkout v[version] or tags/[version]
+```
+
+## Framework with Plugins
+
+**Challenge:** Core framework + 50 plugins
+
+**Strategy:**
+1. Focus on core framework first
+2. Ask user which plugins needed
+3. Launch targeted search for specific plugins
+4. Note available plugins in report
+5. Don't document everything upfront
+
+## Documentation Under Construction
+
+**Signs:**
+- New release with incomplete docs
+- Many "Coming soon" pages
+- GitHub issues requesting docs
+
+**Approach:**
+1. Note status upfront in report
+2. Combine available docs + repo analysis
+3. Check tests/ and examples/ directories
+4. Clearly mark "inferred from code"
+5. Link to GitHub issues for updates
+
+## Conflicting Information
+
+**When sources disagree:**
+1. Identify primary official source
+2. Note version differences
+3. Present both approaches with context
+4. Recommend official/latest
+5. Explain why conflict exists
+
+**Priority order:**
+1. Official docs (latest version)
+2. Official docs (versioned)
+3. GitHub README
+4. Community tutorials
+5. Stack Overflow
+
+## Rate Limiting
+
+**If hitting API limits:**
+- Use CONTEXT7_API_KEY from .env
+- Implement exponential backoff
+- Cache results in session
+- Batch requests where possible

.opencode/skills/docs-seeker/references/context7-patterns.md

@@ -0,0 +1,68 @@
+# context7.com URL Patterns
+
+## Topic-Specific URLs (Priority #1)
+
+**Pattern:** `https://context7.com/{path}/llms.txt?topic={keyword}`
+
+**When to use:** User asks about specific feature/component
+
+**Examples:**
+```
+shadcn/ui date picker
+→ https://context7.com/shadcn-ui/ui/llms.txt?topic=date
+
+Next.js caching
+→ https://context7.com/vercel/next.js/llms.txt?topic=cache
+
+Better Auth OAuth
+→ https://context7.com/better-auth/better-auth/llms.txt?topic=oauth
+
+FFmpeg compression
+→ https://context7.com/websites/ffmpeg_doxygen_8_0/llms.txt?topic=compress
+```
+
+**Benefits:** Returns ONLY relevant docs, 10x faster, minimal tokens
+
+## General Library URLs (Priority #2)
+
+**GitHub repos:** `https://context7.com/{org}/{repo}/llms.txt`
+
+**Websites:** `https://context7.com/websites/{normalized-path}/llms.txt`
+
+## Known Repository Mappings
+
+```
+next.js → vercel/next.js
+nextjs → vercel/next.js
+astro → withastro/astro
+remix → remix-run/remix
+shadcn → shadcn-ui/ui
+shadcn/ui → shadcn-ui/ui
+better-auth → better-auth/better-auth
+```
+
+## Official Site Fallbacks
+
+Use ONLY if context7.com unavailable:
+```
+Astro: https://docs.astro.build/llms.txt
+Next.js: https://nextjs.org/llms.txt
+Remix: https://remix.run/llms.txt
+SvelteKit: https://kit.svelte.dev/llms.txt
+```
+
+## Topic Keyword Normalization
+
+**Rules:**
+- Lowercase
+- Remove special chars
+- Use first word for multi-word topics
+- Max 20 chars
+
+**Examples:**
+```
+"date picker" → "date"
+"OAuth" → "oauth"
+"Server-Side" → "server"
+"caching strategies" → "caching"
+```

.opencode/skills/docs-seeker/references/errors.md

@@ -0,0 +1,68 @@
+# Error Handling & Fallback Strategies
+
+## Error Codes
+
+**404 Not Found**
+- Topic-specific URL not available
+- Library not on context7.com
+- llms.txt doesn't exist
+
+**Timeout**
+- Network issues
+- Large repository clone
+- Slow API response
+
+**Invalid Response**
+- Malformed llms.txt
+- Empty content
+- Invalid URLs
+
+## Fallback Chain
+
+### For Topic-Specific Queries
+
+```
+1. Try topic-specific URL
+   https://context7.com/{library}/llms.txt?topic={keyword}
+   ↓ 404
+2. Try general library URL
+   https://context7.com/{library}/llms.txt
+   ↓ 404
+3. WebSearch for llms.txt
+   "[library] llms.txt site:[official domain]"
+   ↓ Not found
+4. Repository analysis
+   Use Repomix on GitHub repo
+```
+
+### For General Library Queries
+
+```
+1. Try context7.com
+   https://context7.com/{library}/llms.txt
+   ↓ 404
+2. WebSearch for llms.txt
+   "[library] llms.txt"
+   ↓ Not found
+3. Repository analysis
+   Clone + Repomix
+   ↓ No repo
+4. Research agents
+   Deploy multiple Researcher agents
+```
+
+## Timeout Handling
+
+**Set limits:**
+- WebFetch: 60s
+- Repository clone: 5min
+- Repomix: 10min
+
+**Fail fast:** Don't retry failed methods
+
+## Empty Results
+
+**If llms.txt has 0 URLs:**
+→ Note in report
+→ Try repository analysis
+→ Check official website manually

.opencode/skills/docs-seeker/scripts/analyze-llms-txt.js

@@ -0,0 +1,211 @@
+#!/usr/bin/env node
+
+/**
+ * llms.txt Analyzer Script
+ * Parses llms.txt content and categorizes URLs for optimal agent distribution
+ */
+
+const { loadEnv } = require('./utils/env-loader');
+
+// Load environment
+const env = loadEnv();
+const DEBUG = env.DEBUG === 'true';
+
+/**
+ * URL priority categories
+ */
+const PRIORITY_KEYWORDS = {
+  critical: [
+    'getting-started', 'quick-start', 'quickstart', 'introduction', 'intro', 'overview',
+    'installation', 'install', 'setup', 'basics', 'core-concepts', 'fundamentals',
+  ],
+  supplementary: [
+    'advanced', 'internals', 'migration', 'migrate', 'troubleshooting', 'troubleshoot',
+    'faq', 'frequently-asked', 'changelog', 'contributing', 'contribute',
+  ],
+  important: [
+    'guide', 'tutorial', 'example', 'api-reference', 'api', 'reference',
+    'configuration', 'config', 'routing', 'route', 'data-fetching', 'authentication', 'auth',
+  ],
+};
+
+/**
+ * Categorize URL by priority
+ * @param {string} url - Documentation URL
+ * @returns {string} Priority level (critical/important/supplementary)
+ */
+function categorizeUrl(url) {
+  const urlLower = url.toLowerCase();
+
+  // Check in priority order: critical first, then supplementary, then important
+  // This ensures specific keywords (advanced, internals) are caught before generic ones
+  const priorities = ['critical', 'supplementary', 'important'];
+
+  for (const priority of priorities) {
+    const keywords = PRIORITY_KEYWORDS[priority];
+    for (const keyword of keywords) {
+      if (urlLower.includes(keyword)) {
+        return priority;
+      }
+    }
+  }
+
+  return 'important'; // Default
+}
+
+/**
+ * Parse llms.txt content to extract URLs
+ * @param {string} content - llms.txt content
+ * @returns {Array<string>} Array of URLs
+ */
+function parseUrls(content) {
+  if (!content || typeof content !== 'string') {
+    return [];
+  }
+
+  const urls = [];
+  const lines = content.split('\n');
+
+  for (const line of lines) {
+    const trimmed = line.trim();
+
+    // Skip comments and empty lines
+    if (!trimmed || trimmed.startsWith('#')) continue;
+
+    // Extract URLs (look for http/https)
+    const urlMatch = trimmed.match(/https?:\/\/[^\s<>"]+/i);
+    if (urlMatch) {
+      urls.push(urlMatch[0]);
+    }
+  }
+
+  return urls;
+}
+
+/**
+ * Group URLs by priority
+ * @param {Array<string>} urls - Array of URLs
+ * @returns {Object} URLs grouped by priority
+ */
+function groupByPriority(urls) {
+  const groups = {
+    critical: [],
+    important: [],
+    supplementary: [],
+  };
+
+  for (const url of urls) {
+    const priority = categorizeUrl(url);
+    groups[priority].push(url);
+  }
+
+  return groups;
+}
+
+/**
+ * Suggest optimal agent distribution
+ * @param {number} urlCount - Total number of URLs
+ * @returns {Object} Agent distribution suggestion
+ */
+function suggestAgentDistribution(urlCount) {
+  if (urlCount <= 3) {
+    return {
+      agentCount: 1,
+      strategy: 'single',
+      urlsPerAgent: urlCount,
+      description: 'Single agent can handle all URLs',
+    };
+  } else if (urlCount <= 10) {
+    const agents = Math.min(Math.ceil(urlCount / 2), 5);
+    return {
+      agentCount: agents,
+      strategy: 'parallel',
+      urlsPerAgent: Math.ceil(urlCount / agents),
+      description: `Deploy ${agents} agents in parallel`,
+    };
+  } else if (urlCount <= 20) {
+    return {
+      agentCount: 7,
+      strategy: 'parallel',
+      urlsPerAgent: Math.ceil(urlCount / 7),
+      description: 'Deploy 7 agents with balanced workload',
+    };
+  } else {
+    return {
+      agentCount: 7,
+      strategy: 'phased',
+      urlsPerAgent: Math.ceil(urlCount / 7),
+      phases: 2,
+      description: 'Use two-phase approach: critical first, then important',
+    };
+  }
+}
+
+/**
+ * Analyze llms.txt content
+ * @param {string} content - llms.txt content
+ * @returns {Object} Analysis result
+ */
+function analyzeLlmsTxt(content) {
+  const urls = parseUrls(content);
+  const grouped = groupByPriority(urls);
+  const distribution = suggestAgentDistribution(urls.length);
+
+  return {
+    totalUrls: urls.length,
+    urls,
+    grouped,
+    distribution,
+    summary: {
+      critical: grouped.critical.length,
+      important: grouped.important.length,
+      supplementary: grouped.supplementary.length,
+    },
+  };
+}
+
+/**
+ * CLI entry point
+ */
+function main() {
+  const args = process.argv.slice(2);
+
+  if (args.length === 0) {
+    console.error('Usage: node analyze-llms-txt.js <content-file-or-stdin>');
+    console.error('Or pipe content: cat llms.txt | node analyze-llms-txt.js');
+    process.exit(1);
+  }
+
+  const fs = require('fs');
+  let content;
+
+  if (args[0] === '-') {
+    // Read from stdin
+    content = fs.readFileSync(0, 'utf8');
+  } else {
+    // Read from file
+    const filePath = args[0];
+    if (!fs.existsSync(filePath)) {
+      console.error(`Error: File not found: ${filePath}`);
+      process.exit(1);
+    }
+    content = fs.readFileSync(filePath, 'utf8');
+  }
+
+  const result = analyzeLlmsTxt(content);
+  console.log(JSON.stringify(result, null, 2));
+  process.exit(0);
+}
+
+// Run if called directly
+if (require.main === module) {
+  main();
+}
+
+module.exports = {
+  analyzeLlmsTxt,
+  parseUrls,
+  groupByPriority,
+  categorizeUrl,
+  suggestAgentDistribution,
+};

.opencode/skills/docs-seeker/scripts/detect-topic.js

@@ -0,0 +1,172 @@
+#!/usr/bin/env node
+
+/**
+ * Topic Detection Script
+ * Analyzes user queries to extract library name and topic keywords
+ * Returns null for general queries, topic info for specific queries
+ */
+
+const { loadEnv } = require('./utils/env-loader');
+
+// Load environment
+const env = loadEnv();
+const DEBUG = env.DEBUG === 'true';
+
+/**
+ * Topic-specific query patterns
+ */
+const TOPIC_PATTERNS = [
+  // "How do I use X in Y?"
+  /how (?:do i|to|can i) (?:use|implement|add|setup|configure) (?:the )?(.+?) (?:in|with|for) (.+)/i,
+
+  // "Y X strategies/patterns" - e.g., "Next.js caching strategies"
+  /(.+?) (.+?) (?:strategies|patterns|techniques|methods|approaches)/i,
+
+  // "X Y documentation" or "Y X docs"
+  /(.+?) (.+?) (?:documentation|docs|guide|tutorial)/i,
+
+  // "Using X with Y"
+  /using (.+?) (?:with|in|for) (.+)/i,
+
+  // "Y X guide/implementation/setup"
+  /(.+?) (.+?) (?:guide|implementation|setup|configuration)/i,
+
+  // "Implement X in Y"
+  /implement(?:ing)? (.+?) (?:in|with|for|using) (.+)/i,
+];
+
+/**
+ * General library query patterns (non-topic specific)
+ */
+const GENERAL_PATTERNS = [
+  /(?:documentation|docs) for (.+)/i,
+  /(.+?) (?:getting started|quick ?start|introduction)/i,
+  /(?:how to use|learn) (.+)/i,
+  /(.+?) (?:api reference|overview|basics)/i,
+];
+
+/**
+ * Normalize topic keyword
+ * @param {string} topic - Raw topic string
+ * @returns {string} Normalized topic keyword
+ */
+function normalizeTopic(topic) {
+  return topic
+    .toLowerCase()
+    .trim()
+    .replace(/[^a-z0-9\s-]/g, '')  // Remove special chars
+    .replace(/\s+/g, '-')          // Replace spaces with hyphens
+    .split('-')[0]                 // Take first word for multi-word topics
+    .slice(0, 20);                 // Limit length
+}
+
+/**
+ * Normalize library name
+ * @param {string} library - Raw library string
+ * @returns {string} Normalized library name
+ */
+function normalizeLibrary(library) {
+  return library
+    .toLowerCase()
+    .trim()
+    .replace(/[^a-z0-9\s\-\/\.]/g, '')
+    .replace(/\s+/g, '-');
+}
+
+/**
+ * Detect if query is topic-specific or general
+ * @param {string} query - User query
+ * @returns {Object|null} Topic info or null for general query
+ */
+function detectTopic(query) {
+  if (!query || typeof query !== 'string') {
+    return null;
+  }
+
+  const trimmedQuery = query.trim();
+
+  // Check general patterns first
+  for (const pattern of GENERAL_PATTERNS) {
+    const match = trimmedQuery.match(pattern);
+    if (match) {
+      if (DEBUG) console.error('[DEBUG] Matched general pattern, no topic');
+      return null;
+    }
+  }
+
+  // Check topic-specific patterns
+  for (let i = 0; i < TOPIC_PATTERNS.length; i++) {
+    const pattern = TOPIC_PATTERNS[i];
+    const match = trimmedQuery.match(pattern);
+    if (match) {
+      const [, term1, term2] = match;
+
+      // Determine which is library and which is topic based on pattern
+      let topic, library;
+
+      // Pattern 0: "How do I use X in Y?" -> X is topic, Y is library
+      // Pattern 1: "Y X strategies" -> X is topic, Y is library
+      // Pattern 2-5: X is topic, Y is library in most cases
+
+      // For pattern 1 (strategies/patterns), term1 is library, term2 is topic
+      if (i === 1) {
+        topic = normalizeTopic(term2);
+        library = normalizeLibrary(term1);
+      } else {
+        // For other patterns, term1 is topic, term2 is library
+        topic = normalizeTopic(term1);
+        library = normalizeLibrary(term2);
+      }
+
+      if (DEBUG) {
+        console.error('[DEBUG] Matched topic pattern');
+        console.error('[DEBUG] Topic:', topic);
+        console.error('[DEBUG] Library:', library);
+      }
+
+      return {
+        query: trimmedQuery,
+        topic,
+        library,
+        isTopicSpecific: true,
+      };
+    }
+  }
+
+  if (DEBUG) console.error('[DEBUG] No pattern matched, treating as general');
+  return null;
+}
+
+/**
+ * CLI entry point
+ */
+function main() {
+  const args = process.argv.slice(2);
+
+  if (args.length === 0) {
+    console.error('Usage: node detect-topic.js "<user query>"');
+    process.exit(1);
+  }
+
+  const query = args.join(' ');
+  const result = detectTopic(query);
+
+  if (result) {
+    console.log(JSON.stringify(result, null, 2));
+    process.exit(0);
+  } else {
+    console.log(JSON.stringify({ isTopicSpecific: false }, null, 2));
+    process.exit(0);
+  }
+}
+
+// Run if called directly
+if (require.main === module) {
+  main();
+}
+
+module.exports = {
+  detectTopic,
+  normalizeTopic,
+  normalizeLibrary,
+};

.opencode/skills/docs-seeker/scripts/fetch-docs.js

@@ -0,0 +1,213 @@
+#!/usr/bin/env node
+
+/**
+ * Documentation Fetcher Script
+ * Fetches documentation from context7.com with topic support and fallback chain
+ */
+
+const https = require('https');
+const { loadEnv } = require('./utils/env-loader');
+const { detectTopic } = require('./detect-topic');
+
+// Load environment
+const env = loadEnv();
+const DEBUG = env.DEBUG === 'true';
+const API_KEY = env.CONTEXT7_API_KEY;
+
+/**
+ * Make HTTPS GET request
+ * @param {string} url - URL to fetch
+ * @returns {Promise<string>} Response body
+ */
+function httpsGet(url) {
+  return new Promise((resolve, reject) => {
+    const options = {
+      headers: API_KEY ? { 'Authorization': `Bearer ${API_KEY}` } : {},
+    };
+
+    https.get(url, options, (res) => {
+      let data = '';
+
+      res.on('data', (chunk) => {
+        data += chunk;
+      });
+
+      res.on('end', () => {
+        if (res.statusCode === 200) {
+          resolve(data);
+        } else if (res.statusCode === 404) {
+          resolve(null);
+        } else {
+          reject(new Error(`HTTP ${res.statusCode}: ${data}`));
+        }
+      });
+    }).on('error', reject);
+  });
+}
+
+/**
+ * Construct context7.com URL
+ * @param {string} library - Library name (e.g., "next.js", "shadcn/ui")
+ * @param {string} topic - Optional topic keyword
+ * @returns {string} context7.com URL
+ */
+function buildContext7Url(library, topic = null) {
+  // Determine if GitHub repo or website
+  let basePath;
+
+  if (library.includes('/')) {
+    // GitHub repo format: org/repo
+    const [org, repo] = library.split('/');
+    basePath = `${org}/${repo}`;
+  } else {
+    // Try common patterns
+    const normalized = library.toLowerCase().replace(/[^a-z0-9-]/g, '');
+    basePath = `websites/${normalized}`;
+  }
+
+  const baseUrl = `https://context7.com/${basePath}/llms.txt`;
+
+  if (topic) {
+    return `${baseUrl}?topic=${encodeURIComponent(topic)}`;
+  }
+
+  return baseUrl;
+}
+
+/**
+ * Try multiple URL variations for a library
+ * @param {string} library - Library name
+ * @param {string} topic - Optional topic
+ * @returns {Promise<Array>} Array of URLs to try
+ */
+async function getUrlVariations(library, topic = null) {
+  const urls = [];
+
+  // Known repo mappings
+  const knownRepos = {
+    'next.js': 'vercel/next.js',
+    'nextjs': 'vercel/next.js',
+    'remix': 'remix-run/remix',
+    'astro': 'withastro/astro',
+    'shadcn': 'shadcn-ui/ui',
+    'shadcn/ui': 'shadcn-ui/ui',
+    'better-auth': 'better-auth/better-auth',
+  };
+
+  const normalized = library.toLowerCase();
+  const repo = knownRepos[normalized] || library;
+
+  // Primary: Try with topic if available
+  if (topic) {
+    urls.push(buildContext7Url(repo, topic));
+  }
+
+  // Fallback: Try without topic
+  urls.push(buildContext7Url(repo));
+
+  return urls;
+}
+
+/**
+ * Fetch documentation from context7.com
+ * @param {string} query - User query
+ * @returns {Promise<Object>} Documentation result
+ */
+async function fetchDocs(query) {
+  const topicInfo = detectTopic(query);
+
+  if (DEBUG) {
+    console.error('[DEBUG] Topic detection result:', topicInfo);
+  }
+
+  let urls = [];
+
+  if (topicInfo && topicInfo.isTopicSpecific) {
+    // Topic-specific search
+    urls = await getUrlVariations(topicInfo.library, topicInfo.topic);
+
+    if (DEBUG) {
+      console.error('[DEBUG] Topic-specific URLs:', urls);
+    }
+  } else {
+    // Extract library from general query
+    const libraryMatch = query.match(/(?:documentation|docs|guide) (?:for )?(.+)/i);
+    if (libraryMatch) {
+      const library = libraryMatch[1].trim();
+      urls = await getUrlVariations(library);
+
+      if (DEBUG) {
+        console.error('[DEBUG] General library URLs:', urls);
+      }
+    }
+  }
+
+  // Try each URL
+  for (const url of urls) {
+    if (DEBUG) {
+      console.error(`[DEBUG] Trying URL: ${url}`);
+    }
+
+    try {
+      const content = await httpsGet(url);
+
+      if (content) {
+        return {
+          success: true,
+          source: 'context7.com',
+          url,
+          content,
+          topicSpecific: url.includes('?topic='),
+        };
+      }
+    } catch (error) {
+      if (DEBUG) {
+        console.error(`[DEBUG] Failed to fetch ${url}:`, error.message);
+      }
+    }
+  }
+
+  // No URL worked
+  return {
+    success: false,
+    source: 'context7.com',
+    error: 'Documentation not found on context7.com',
+    urls,
+    suggestion: 'Try repository analysis or web search',
+  };
+}
+
+/**
+ * CLI entry point
+ */
+async function main() {
+  const args = process.argv.slice(2);
+
+  if (args.length === 0) {
+    console.error('Usage: node fetch-docs.js "<user query>"');
+    process.exit(1);
+  }
+
+  const query = args.join(' ');
+
+  try {
+    const result = await fetchDocs(query);
+    console.log(JSON.stringify(result, null, 2));
+    process.exit(result.success ? 0 : 1);
+  } catch (error) {
+    console.error('Error:', error.message);
+    process.exit(1);
+  }
+}
+
+// Run if called directly
+if (require.main === module) {
+  main();
+}
+
+module.exports = {
+  fetchDocs,
+  buildContext7Url,
+  getUrlVariations,
+  httpsGet,
+};

.opencode/skills/docs-seeker/scripts/tests/run-tests.js

@@ -0,0 +1,72 @@
+#!/usr/bin/env node
+
+/**
+ * Test runner - runs all tests
+ */
+
+const { spawn } = require('child_process');
+const path = require('path');
+
+const tests = [
+  'test-detect-topic.js',
+  'test-fetch-docs.js',
+  'test-analyze-llms.js',
+];
+
+let totalPassed = 0;
+let totalFailed = 0;
+
+function runTest(testFile) {
+  return new Promise((resolve, reject) => {
+    console.log(`\n${'='.repeat(60)}`);
+    console.log(`Running: ${testFile}`);
+    console.log('='.repeat(60));
+
+    const testPath = path.join(__dirname, testFile);
+    const proc = spawn('node', [testPath], {
+      stdio: 'inherit',
+    });
+
+    proc.on('close', (code) => {
+      if (code === 0) {
+        resolve();
+      } else {
+        reject(new Error(`Test failed: ${testFile}`));
+      }
+    });
+
+    proc.on('error', reject);
+  });
+}
+
+async function runAllTests() {
+  console.log('Running all docs-seeker tests...');
+
+  let failedTests = [];
+
+  for (const test of tests) {
+    try {
+      await runTest(test);
+    } catch (error) {
+      failedTests.push(test);
+    }
+  }
+
+  console.log(`\n${'='.repeat(60)}`);
+  console.log('All Tests Summary');
+  console.log('='.repeat(60));
+  console.log(`Total test files: ${tests.length}`);
+  console.log(`Passed: ${tests.length - failedTests.length}`);
+  console.log(`Failed: ${failedTests.length}`);
+
+  if (failedTests.length > 0) {
+    console.log('\nFailed tests:');
+    failedTests.forEach((test) => console.log(`  - ${test}`));
+    process.exit(1);
+  } else {
+    console.log('\n✓ All tests passed!');
+    process.exit(0);
+  }
+}
+
+runAllTests();

.opencode/skills/docs-seeker/scripts/tests/test-analyze-llms.js

@@ -0,0 +1,119 @@
+#!/usr/bin/env node
+
+/**
+ * Tests for analyze-llms-txt.js
+ */
+
+const {
+  analyzeLlmsTxt,
+  parseUrls,
+  groupByPriority,
+  categorizeUrl,
+  suggestAgentDistribution,
+} = require('../analyze-llms-txt');
+
+// Test counter
+let passed = 0;
+let failed = 0;
+
+function assert(condition, message) {
+  if (condition) {
+    console.log(`✓ ${message}`);
+    passed++;
+  } else {
+    console.error(`✗ ${message}`);
+    failed++;
+  }
+}
+
+function assertEqual(actual, expected, message) {
+  if (actual === expected) {
+    console.log(`✓ ${message}`);
+    passed++;
+  } else {
+    console.error(`✗ ${message}`);
+    console.error(`  Expected: ${expected}`);
+    console.error(`  Actual: ${actual}`);
+    failed++;
+  }
+}
+
+console.log('Running analyze-llms-txt.js tests...\n');
+
+// Test categorizeUrl
+console.log('## Testing categorizeUrl()');
+assertEqual(categorizeUrl('https://docs.example.com/getting-started'), 'critical', 'Categorize getting-started as critical');
+assertEqual(categorizeUrl('https://docs.example.com/guide/routing'), 'important', 'Categorize routing guide as important');
+assertEqual(categorizeUrl('https://docs.example.com/advanced/internals'), 'supplementary', 'Categorize internals as supplementary');
+assertEqual(categorizeUrl('https://docs.example.com/api-reference'), 'important', 'Categorize API reference as important');
+
+// Test parseUrls
+console.log('\n## Testing parseUrls()');
+
+const sampleContent = `# Documentation
+https://docs.example.com/getting-started
+https://docs.example.com/guide
+# Comment line
+https://docs.example.com/api-reference
+
+https://docs.example.com/advanced
+`;
+
+const urls = parseUrls(sampleContent);
+assertEqual(urls.length, 4, 'Parse 4 URLs from content');
+assert(urls[0].includes('getting-started'), 'First URL is getting-started');
+
+const emptyContent = '';
+const emptyUrls = parseUrls(emptyContent);
+assertEqual(emptyUrls.length, 0, 'Empty content returns 0 URLs');
+
+// Test groupByPriority
+console.log('\n## Testing groupByPriority()');
+
+const testUrls = [
+  'https://docs.example.com/getting-started',
+  'https://docs.example.com/guide/routing',
+  'https://docs.example.com/advanced/internals',
+  'https://docs.example.com/installation',
+];
+
+const grouped = groupByPriority(testUrls);
+assert(grouped.critical.length >= 2, 'Has critical URLs');
+assert(grouped.important.length >= 1, 'Has important URLs');
+assert(grouped.supplementary.length >= 1, 'Has supplementary URLs');
+
+// Test suggestAgentDistribution
+console.log('\n## Testing suggestAgentDistribution()');
+
+const dist1 = suggestAgentDistribution(2);
+assertEqual(dist1.agentCount, 1, 'Suggest 1 agent for 2 URLs');
+assertEqual(dist1.strategy, 'single', 'Strategy is single for few URLs');
+
+const dist2 = suggestAgentDistribution(8);
+assert(dist2.agentCount >= 3 && dist2.agentCount <= 5, 'Suggest 3-5 agents for 8 URLs');
+assertEqual(dist2.strategy, 'parallel', 'Strategy is parallel for medium URLs');
+
+const dist3 = suggestAgentDistribution(15);
+assertEqual(dist3.agentCount, 7, 'Suggest 7 agents for 15 URLs');
+
+const dist4 = suggestAgentDistribution(25);
+assertEqual(dist4.agentCount, 7, 'Suggest 7 agents for 25 URLs');
+assertEqual(dist4.strategy, 'phased', 'Strategy is phased for many URLs');
+assertEqual(dist4.phases, 2, 'Use 2 phases for large sets');
+
+// Test analyzeLlmsTxt
+console.log('\n## Testing analyzeLlmsTxt()');
+
+const analysis = analyzeLlmsTxt(sampleContent);
+assertEqual(analysis.totalUrls, 4, 'Analysis counts 4 URLs');
+assert(analysis.grouped, 'Analysis includes grouped URLs');
+assert(analysis.distribution, 'Analysis includes distribution suggestion');
+assert(analysis.summary, 'Analysis includes summary');
+
+// Summary
+console.log('\n## Test Summary');
+console.log(`Passed: ${passed}`);
+console.log(`Failed: ${failed}`);
+console.log(`Total: ${passed + failed}`);
+
+process.exit(failed > 0 ? 1 : 0);

.opencode/skills/docs-seeker/scripts/tests/test-detect-topic.js

@@ -0,0 +1,112 @@
+#!/usr/bin/env node
+
+/**
+ * Tests for detect-topic.js
+ */
+
+const { detectTopic, normalizeTopic, normalizeLibrary } = require('../detect-topic');
+
+// Test counter
+let passed = 0;
+let failed = 0;
+
+function assert(condition, message) {
+  if (condition) {
+    console.log(`✓ ${message}`);
+    passed++;
+  } else {
+    console.error(`✗ ${message}`);
+    failed++;
+  }
+}
+
+function assertEqual(actual, expected, message) {
+  if (actual === expected) {
+    console.log(`✓ ${message}`);
+    passed++;
+  } else {
+    console.error(`✗ ${message}`);
+    console.error(`  Expected: ${expected}`);
+    console.error(`  Actual: ${actual}`);
+    failed++;
+  }
+}
+
+console.log('Running detect-topic.js tests...\n');
+
+// Test normalizeTopic
+console.log('## Testing normalizeTopic()');
+assertEqual(normalizeTopic('date picker'), 'date', 'Normalize multi-word topic');
+assertEqual(normalizeTopic('OAuth'), 'oauth', 'Normalize OAuth');
+assertEqual(normalizeTopic('Server-Side'), 'server', 'Normalize Server-Side');
+assertEqual(normalizeTopic('caching'), 'caching', 'Normalize caching');
+
+// Test normalizeLibrary
+console.log('\n## Testing normalizeLibrary()');
+assertEqual(normalizeLibrary('Next.js'), 'next.js', 'Normalize Next.js');
+assertEqual(normalizeLibrary('shadcn/ui'), 'shadcn/ui', 'Normalize shadcn/ui');
+assertEqual(normalizeLibrary('Better Auth'), 'better-auth', 'Normalize Better Auth');
+
+// Test topic-specific queries
+console.log('\n## Testing topic-specific queries');
+
+const topicQuery1 = detectTopic('How do I use date picker in shadcn/ui?');
+assert(topicQuery1 !== null, 'Detect topic-specific query 1');
+assert(topicQuery1.isTopicSpecific === true, 'Query 1 is topic-specific');
+assertEqual(topicQuery1.topic, 'date', 'Query 1 topic is "date"');
+assertEqual(topicQuery1.library, 'shadcn/ui', 'Query 1 library is "shadcn/ui"');
+
+const topicQuery2 = detectTopic('Next.js caching strategies');
+assert(topicQuery2 !== null, 'Detect topic-specific query 2');
+assert(topicQuery2 && topicQuery2.isTopicSpecific === true, 'Query 2 is topic-specific');
+if (topicQuery2) {
+  assertEqual(topicQuery2.topic, 'caching', 'Query 2 topic is "caching"');
+  assertEqual(topicQuery2.library, 'next.js', 'Query 2 library is "next.js"');
+}
+
+const topicQuery3 = detectTopic('Better Auth OAuth setup');
+assert(topicQuery3 !== null, 'Detect topic-specific query 3');
+assert(topicQuery3.isTopicSpecific === true, 'Query 3 is topic-specific');
+
+const topicQuery4 = detectTopic('Using authentication with Better Auth');
+assert(topicQuery4 !== null, 'Detect topic-specific query 4');
+assert(topicQuery4.isTopicSpecific === true, 'Query 4 is topic-specific');
+
+const topicQuery5 = detectTopic('Implement routing in Next.js');
+assert(topicQuery5 !== null, 'Detect topic-specific query 5');
+assert(topicQuery5.isTopicSpecific === true, 'Query 5 is topic-specific');
+
+// Test general queries
+console.log('\n## Testing general queries');
+
+const generalQuery1 = detectTopic('Documentation for Next.js');
+assert(generalQuery1 === null, 'Detect general query 1 (returns null)');
+
+const generalQuery2 = detectTopic('Astro getting started');
+assert(generalQuery2 === null, 'Detect general query 2 (returns null)');
+
+const generalQuery3 = detectTopic('How to use Better Auth');
+assert(generalQuery3 === null, 'Detect general query 3 (returns null)');
+
+const generalQuery4 = detectTopic('Next.js API reference');
+assert(generalQuery4 === null, 'Detect general query 4 (returns null)');
+
+// Test edge cases
+console.log('\n## Testing edge cases');
+
+const edgeCase1 = detectTopic('');
+assert(edgeCase1 === null, 'Empty string returns null');
+
+const edgeCase2 = detectTopic(null);
+assert(edgeCase2 === null, 'Null returns null');
+
+const edgeCase3 = detectTopic('Random text without pattern');
+assert(edgeCase3 === null, 'Non-matching query returns null');
+
+// Summary
+console.log('\n## Test Summary');
+console.log(`Passed: ${passed}`);
+console.log(`Failed: ${failed}`);
+console.log(`Total: ${passed + failed}`);
+
+process.exit(failed > 0 ? 1 : 0);

.opencode/skills/docs-seeker/scripts/tests/test-fetch-docs.js

@@ -0,0 +1,84 @@
+#!/usr/bin/env node
+
+/**
+ * Tests for fetch-docs.js
+ */
+
+const { buildContext7Url, getUrlVariations } = require('../fetch-docs');
+
+// Test counter
+let passed = 0;
+let failed = 0;
+
+function assert(condition, message) {
+  if (condition) {
+    console.log(`✓ ${message}`);
+    passed++;
+  } else {
+    console.error(`✗ ${message}`);
+    failed++;
+  }
+}
+
+function assertEqual(actual, expected, message) {
+  if (actual === expected) {
+    console.log(`✓ ${message}`);
+    passed++;
+  } else {
+    console.error(`✗ ${message}`);
+    console.error(`  Expected: ${expected}`);
+    console.error(`  Actual: ${actual}`);
+    failed++;
+  }
+}
+
+console.log('Running fetch-docs.js tests...\n');
+
+// Test buildContext7Url
+console.log('## Testing buildContext7Url()');
+
+assertEqual(
+  buildContext7Url('vercel/next.js'),
+  'https://context7.com/vercel/next.js/llms.txt',
+  'Build URL for GitHub repo'
+);
+
+assertEqual(
+  buildContext7Url('vercel/next.js', 'cache'),
+  'https://context7.com/vercel/next.js/llms.txt?topic=cache',
+  'Build URL with topic parameter'
+);
+
+assertEqual(
+  buildContext7Url('shadcn-ui/ui', 'date'),
+  'https://context7.com/shadcn-ui/ui/llms.txt?topic=date',
+  'Build URL for shadcn with topic'
+);
+
+// Test getUrlVariations
+console.log('\n## Testing getUrlVariations()');
+
+async function testUrlVariations() {
+  const urls1 = await getUrlVariations('next.js', 'cache');
+  assert(urls1.length >= 2, 'Returns multiple URL variations with topic');
+  assert(urls1[0].includes('?topic=cache'), 'First URL has topic parameter');
+  assert(!urls1[1].includes('?topic='), 'Second URL has no topic parameter');
+
+  const urls2 = await getUrlVariations('shadcn/ui');
+  assert(urls2.length >= 1, 'Returns URL variations without topic');
+  assert(!urls2[0].includes('?topic='), 'URL has no topic parameter');
+
+  const urls3 = await getUrlVariations('astro', 'routing');
+  assert(urls3.length >= 2, 'Returns variations for known library');
+  assertEqual(urls3[0], 'https://context7.com/withastro/astro/llms.txt?topic=routing', 'Maps Astro correctly');
+}
+
+testUrlVariations().then(() => {
+  // Summary
+  console.log('\n## Test Summary');
+  console.log(`Passed: ${passed}`);
+  console.log(`Failed: ${failed}`);
+  console.log(`Total: ${passed + failed}`);
+
+  process.exit(failed > 0 ? 1 : 0);
+});

.opencode/skills/docs-seeker/scripts/utils/env-loader.js

@@ -0,0 +1,94 @@
+#!/usr/bin/env node
+
+/**
+ * Environment variable loader for docs-seeker skill
+ * Respects order: process.env > skill/.env > skills/.env > .claude/.env
+ */
+
+const fs = require('fs');
+const path = require('path');
+
+/**
+ * Parse .env file content into key-value pairs
+ * @param {string} content - .env file content
+ * @returns {Object} Parsed environment variables
+ */
+function parseEnvFile(content) {
+  const env = {};
+  const lines = content.split('\n');
+
+  for (const line of lines) {
+    // Skip comments and empty lines
+    if (!line || line.trim().startsWith('#')) continue;
+
+    const match = line.match(/^\s*([A-Za-z_][A-Za-z0-9_]*)\s*=\s*(.*)$/);
+    if (match) {
+      const key = match[1];
+      let value = match[2].trim();
+
+      // Remove quotes if present
+      if ((value.startsWith('"') && value.endsWith('"')) ||
+          (value.startsWith("'") && value.endsWith("'"))) {
+        value = value.slice(1, -1);
+      }
+
+      env[key] = value;
+    }
+  }
+
+  return env;
+}
+
+/**
+ * Load environment variables from .env files in priority order
+ * Priority: process.env > skill/.env > skills/.env > .claude/.env
+ * @returns {Object} Merged environment variables
+ */
+function loadEnv() {
+  const skillDir = path.resolve(__dirname, '../..');
+  const skillsDir = path.resolve(skillDir, '..');
+  const claudeDir = path.resolve(skillsDir, '..');
+
+  const envPaths = [
+    path.join(claudeDir, '.env'),      // Lowest priority
+    path.join(skillsDir, '.env'),
+    path.join(skillDir, '.env'),       // Highest priority (file)
+  ];
+
+  let mergedEnv = {};
+
+  // Load .env files in order (lowest to highest priority)
+  for (const envPath of envPaths) {
+    if (fs.existsSync(envPath)) {
+      try {
+        const content = fs.readFileSync(envPath, 'utf8');
+        const parsed = parseEnvFile(content);
+        mergedEnv = { ...mergedEnv, ...parsed };
+      } catch (error) {
+        // Silently skip unreadable files
+      }
+    }
+  }
+
+  // process.env has highest priority
+  mergedEnv = { ...mergedEnv, ...process.env };
+
+  return mergedEnv;
+}
+
+/**
+ * Get environment variable with fallback
+ * @param {string} key - Environment variable key
+ * @param {string} defaultValue - Default value if not found
+ * @returns {string} Environment variable value
+ */
+function getEnv(key, defaultValue = '') {
+  const env = loadEnv();
+  return env[key] || defaultValue;
+}
+
+module.exports = {
+  loadEnv,
+  getEnv,
+  parseEnvFile,
+};

.opencode/skills/docs-seeker/workflows/library-search.md

@@ -0,0 +1,87 @@
+# General Library Documentation Search
+
+**Use when:** User asks about entire library/framework
+
+**Speed:** ⚡⚡ Moderate (30-60s)
+**Token usage:** 🟡 Medium
+**Accuracy:** 📚 Comprehensive
+
+## Trigger Patterns
+
+- "Documentation for [LIBRARY]"
+- "[LIBRARY] getting started"
+- "How to use [LIBRARY]"
+- "[LIBRARY] API reference"
+
+## Workflow (Script-First)
+
+```bash
+# STEP 1: Execute detect-topic.js script
+node scripts/detect-topic.js "<user query>"
+# Returns: {"isTopicSpecific": false} for general queries
+
+# STEP 2: Execute fetch-docs.js script (handles URL construction)
+node scripts/fetch-docs.js "<user query>"
+# Script constructs context7.com URL automatically
+# Script handles GitHub/website URL patterns
+# Returns: llms.txt content with 5-20+ URLs
+
+# STEP 3: Execute analyze-llms-txt.js script
+cat llms.txt | node scripts/analyze-llms-txt.js -
+# Groups URLs: critical, important, supplementary
+# Recommends: agent distribution strategy
+# Returns: {totalUrls, grouped, distribution}
+
+# STEP 4: Deploy agents based on script recommendation
+# - 1-3 URLs: Single agent or direct WebFetch
+# - 4-10 URLs: Deploy 3-5 Explorer agents
+# - 11+ URLs: Deploy 7 agents or phased approach
+
+# STEP 5: Aggregate and present
+# Synthesize findings: installation, concepts, API, examples
+```
+
+## Examples
+
+**Astro framework:**
+```bash
+# Execute scripts (no manual URL construction)
+node scripts/detect-topic.js "Documentation for Astro"
+# {"isTopicSpecific": false}
+
+node scripts/fetch-docs.js "Documentation for Astro"
+# Script fetches: context7.com/withastro/astro/llms.txt
+# Returns: llms.txt with 8 URLs
+
+node scripts/analyze-llms-txt.js < llms.txt
+# {totalUrls: 8, distribution: "3-agents", grouped: {...}}
+
+# Deploy 3 Explorer agents as recommended:
+# Agent 1: Getting started, installation, setup
+# Agent 2: Core concepts, components, layouts
+# Agent 3: Configuration, API reference
+
+# Aggregate and present comprehensive report
+```
+
+## Agent Distribution
+
+**1-3 URLs:** Single agent
+**4-10 URLs:** 3-5 agents (2-3 URLs each)
+**11-20 URLs:** 7 agents (balanced)
+**21+ URLs:** Two-phase (critical first, then important)
+
+## Known Libraries
+
+- Next.js: `vercel/next.js`
+- Astro: `withastro/astro`
+- Remix: `remix-run/remix`
+- shadcn/ui: `shadcn-ui/ui`
+- Better Auth: `better-auth/better-auth`
+
+## Fallback
+
+Scripts handle fallback automatically:
+1. `fetch-docs.js` tries context7.com
+2. If 404, script suggests WebSearch for llms.txt
+3. If still unavailable: [Repository Analysis](./repo-analysis.md)

.opencode/skills/docs-seeker/workflows/repo-analysis.md

@@ -0,0 +1,91 @@
+# Repository Analysis (No llms.txt)
+
+**Use when:** llms.txt not available on context7.com or official site
+
+**Speed:** ⚡⚡⚡ Slower (5-10min)
+**Token usage:** 🔴 High
+**Accuracy:** 🔍 Code-based
+
+## When to Use
+
+- Library not on context7.com
+- No llms.txt on official site
+- Need to analyze code structure
+- Documentation incomplete
+
+## Workflow
+
+```
+1. Find repository
+   → WebSearch: "[library] github repository"
+   → Verify: Official, active, has docs/
+
+2. Clone repository
+   → Bash: git clone [repo-url] /tmp/docs-analysis
+   → Optional: checkout specific version/tag
+
+3. Install Repomix (if needed)
+   → Bash: npm install -g repomix
+
+4. Pack repository
+   → Bash: cd /tmp/docs-analysis && repomix --output repomix-output.xml
+   → Repomix creates AI-friendly single file
+
+5. Read packed file
+   → Read: /tmp/docs-analysis/repomix-output.xml
+   → Extract: README, docs/, examples/, API files
+
+6. Analyze structure
+   → Identify: Documentation sections
+   → Extract: Installation, usage, API, examples
+   → Note: Code patterns, best practices
+
+7. Present findings
+   → Source: Repository analysis
+   → Caveat: Based on code, not official docs
+   → Include: Repository health (stars, activity)
+```
+
+## Example
+
+**Obscure library without llms.txt:**
+```bash
+# 1. Find
+WebSearch: "MyLibrary github repository"
+# Found: https://github.com/org/mylibrary
+
+# 2. Clone
+git clone https://github.com/org/mylibrary /tmp/docs-analysis
+
+# 3. Pack with Repomix
+cd /tmp/docs-analysis
+repomix --output repomix-output.xml
+
+# 4. Read
+Read: /tmp/docs-analysis/repomix-output.xml
+# Single XML file with entire codebase
+
+# 5. Extract documentation
+- README.md: Installation, overview
+- docs/: Usage guides, API reference
+- examples/: Code samples
+- src/: Implementation patterns
+
+# 6. Present
+Source: Repository analysis (no llms.txt)
+Health: 1.2K stars, active
+```
+
+## Repomix Benefits
+
+✅ Entire repo in single file
+✅ Preserves directory structure
+✅ AI-optimized format
+✅ Includes metadata
+
+## Alternative
+
+If no GitHub repo exists:
+→ Deploy multiple Researcher agents
+→ Gather: Official site, blog posts, tutorials, Stack Overflow
+→ Note: Quality varies, cross-reference sources

.opencode/skills/docs-seeker/workflows/topic-search.md

@@ -0,0 +1,77 @@
+# Topic-Specific Documentation Search
+
+**Use when:** User asks about specific feature/component/concept
+
+**Speed:** ⚡ Fastest (10-15s)
+**Token usage:** 🟢 Minimal
+**Accuracy:** 🎯 Highly targeted
+
+## Trigger Patterns
+
+- "How do I use [FEATURE] in [LIBRARY]?"
+- "[LIBRARY] [COMPONENT] documentation"
+- "Implement [FEATURE] with [LIBRARY]"
+- "[LIBRARY] [CONCEPT] guide"
+
+## Workflow (Script-First)
+
+```bash
+# STEP 1: Execute detect-topic.js script
+node scripts/detect-topic.js "<user query>"
+# Returns: {"topic": "X", "library": "Y", "isTopicSpecific": true}
+
+# STEP 2: Execute fetch-docs.js script (handles URL construction automatically)
+node scripts/fetch-docs.js "<user query>"
+# Script constructs: context7.com/{library}/llms.txt?topic={topic}
+# Script handles fallback if topic URL fails
+# Returns: llms.txt content with 1-5 URLs
+
+# STEP 3: Process results based on URL count
+# - 1-3 URLs: Read directly with WebFetch tool
+# - 4-5 URLs: Deploy 2-3 Explorer agents in parallel
+
+# STEP 4: Present findings
+# Focus on specific feature: installation, usage, examples
+```
+
+## Examples
+
+**shadcn date picker:**
+```bash
+# Execute script (automatic URL construction)
+node scripts/detect-topic.js "How do I use date picker in shadcn?"
+# {"topic": "date", "library": "shadcn/ui", "isTopicSpecific": true}
+
+node scripts/fetch-docs.js "How do I use date picker in shadcn?"
+# Script fetches: context7.com/shadcn-ui/ui/llms.txt?topic=date
+# Returns: 2-3 date-specific URLs
+
+# Read URLs directly with WebFetch
+# Present date picker documentation
+```
+
+**Next.js caching:**
+```bash
+# Execute scripts (no manual URL needed)
+node scripts/detect-topic.js "Next.js caching strategies"
+# {"topic": "cache", "library": "next.js", "isTopicSpecific": true}
+
+node scripts/fetch-docs.js "Next.js caching strategies"
+# Script fetches: context7.com/vercel/next.js/llms.txt?topic=cache
+# Returns: 3-4 URLs
+
+# Process URLs via 2 Explorer agents
+# Present caching strategies
+```
+
+## Benefits
+
+✅ 10x faster than full docs
+✅ No filtering needed
+✅ Minimal context load
+✅ Best user experience
+
+## Fallback
+
+If topic URL returns 404:
+→ Fallback to [General Library Search](./library-search.md)