# Ck:docs Seeker

> Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.

- **Type:** Skill
- **Install:** `agentstack add skill-manhvann-codexkit-docs-seeker`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [manhvann](https://agentstack.voostack.com/s/manhvann)
- **Installs:** 0
- **Category:** [Developer Tools](https://agentstack.voostack.com/c/developer-tools)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [manhvann](https://github.com/manhvann)
- **Source:** https://github.com/manhvann/codexkit/tree/main/.agents/skills/docs-seeker

## Install

```sh
agentstack add skill-manhvann-codexkit-docs-seeker
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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 ""

# 2. FETCH documentation using script output
node scripts/fetch-docs.js ""

# 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 ""  # → {topic, library, isTopicSpecific}
node scripts/fetch-docs.js ""    # → 2-3 URLs
# Read URLs with WebFetch
```

**General query:** "Documentation for Next.js"
```bash
node scripts/detect-topic.js ""         # → {isTopicSpecific: false}
node scripts/fetch-docs.js ""           # → 8+ URLs
cat llms.txt | node scripts/analyze-llms-txt.js -  # → {totalUrls, distribution}
# Deploy agents per recommendation
```

## Environment

Scripts load `.env`: `process.env` > `.agents/skills/docs-seeker/.env` > `.agents/skills/.env` > `.codex/.env`

See `.env.example` for configuration options.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [manhvann](https://github.com/manhvann)
- **Source:** [manhvann/codexkit](https://github.com/manhvann/codexkit)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** yes
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-manhvann-codexkit-docs-seeker
- Seller: https://agentstack.voostack.com/s/manhvann
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.