---
name: Documentation Discovery
slug: documentation-discovery
category: AI Engineering
description: Documentation Discovery finds library and framework docs through Context7 llms.txt lookup, with scripts for fallback repository and topic searches. Use it when you need API docs, setup details, or recent library information.
github: "https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-docs-seeker"
language: JavaScript
stars: 1085
forks: 227
install: "npx degit https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-docs-seeker ~/.claude/skills/vc-docs-seeker"
installs_to: ~/.claude/skills/vc-docs-seeker
source_path: .claude/skills/vc-docs-seeker/SKILL.md
collection_size: 25
category_size: 2451
collection_url: "https://dirskills.com/collections/withkynam/vibecode-pro-max-kit"
added: 2026-08-20T07:56:50.592Z
last_synced: 2026-08-20T07:56:50.592Z
canonical_url: "https://dirskills.com/skills/documentation-discovery"
---

# Documentation Discovery

Documentation Discovery finds library and framework docs through Context7 llms.txt lookup, with scripts for fallback repository and topic searches. Use it when you need API docs, setup details, or recent library information.

**Install:**

```bash
npx degit https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-docs-seeker ~/.claude/skills/vc-docs-seeker
```

## README

# Documentation Discovery

> **Output style:** Follow `process/development-protocols/communication-standards.md` — answer-first, plain language, no unexplained jargon, TL;DR on long responses.

## Overview

Use Context7 MCP as the default path for documentation lookup. The local scripts in this skill are fallback helpers for llms.txt-based discovery when Context7 does not cover the target cleanly.

## Primary Workflow

**Default workflow: Context7 first**

1. Resolve the library with Context7.
2. Query the exact API/config/setup question with Context7.
3. Only fall back to the scripts below when Context7 coverage is missing, incomplete, or the user explicitly wants llms.txt/repository-oriented discovery.

**Fallback script workflow:**

```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. **Context7 first** - Use Context7 MCP before any local script fallback
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. **Scripts are fallback helpers** - Use them only when Context7 coverage is missing or the user wants llms.txt-style discovery

## 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
# Use Context7 results first; only use script-discovered URLs when you intentionally fall back
```

**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}
# Use Context7 results first; only use script-discovered URLs when fallback discovery is required
```

## Environment

Scripts load `.env`: `process.env` > `.claude/skills/vc-docs-seeker/.env` > `.claude/skills/.env` > `.claude/.env`

Optional env vars: `CONTEXT7_API_KEY` (Bearer token for Context7 API), `DEBUG=true` (verbose logging).