🎯

docs-seeker

🎯Skill

from hainamchung/agent-assistant

What it does

Searches and retrieves technical documentation by executing intelligent scripts across library sources, GitHub repos, and context7.com with automated query detection.

📦

Part of

hainamchung/agent-assistant(227 items)

docs-seeker

Installation

npm installInstall npm package

npm install -g @namch/agent-assistant

git cloneClone repository

git clone https://github.com/hainamchung/agent-assistant.git

Node.jsRun Node.js server

node cli/install.js install cursor # Cursor

Node.jsRun Node.js server

node cli/install.js install claude # Claude Code

Node.jsRun Node.js server

node cli/install.js install copilot # GitHub Copilot

+ 7 more commands

📖 Extracted from docs: hainamchung/agent-assistant

Need more details? View full documentation on GitHub →

1Installs

AddedFeb 4, 2026

View on GitHub Back to Skills

Skill Details

SKILL.md

"Search technical documentation using executable scripts to detect query type, fetch from llms.txt sources (context7.com), and analyze results. Use when user needs: (1) Topic-specific documentation (features/components/concepts), (2) Library/framework documentation, (3) GitHub repository analysis, (4) Documentation discovery with automated agent distribution strategy"

Overview

# 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 ~/.{TOOL}/skills/docs-seeker/scripts/detect-topic.js ""

# 2. FETCH documentation using script output

node ~/.{TOOL}/skills/docs-seeker/scripts/fetch-docs.js ""

# 3. ANALYZE results (if multiple URLs returned)

cat llms.txt | node ~/.{TOOL}/skills/docs-seeker/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

Scripts first - Execute scripts instead of manual URL construction
Zero-token overhead - Scripts run without context loading
Automatic fallback - Scripts handle topic → general → error chains
Progressive disclosure - Load workflows/references only when needed
Agent distribution - Scripts recommend parallel agent strategy

Quick Start

Topic query: "How do I use date picker in shadcn?"

```bash

node ~/.{TOOL}/skills/docs-seeker/scripts/detect-topic.js "" # → {topic, library, isTopicSpecific}

node ~/.{TOOL}/skills/docs-seeker/scripts/fetch-docs.js "" # → 2-3 URLs

# Read URLs with WebFetch

```

General query: "Documentation for Next.js"

```bash

node ~/.{TOOL}/skills/docs-seeker/scripts/detect-topic.js "" # → {isTopicSpecific: false}

node ~/.{TOOL}/skills/docs-seeker/scripts/fetch-docs.js "" # → 8+ URLs

cat llms.txt | node ~/.{TOOL}/skills/docs-seeker/scripts/analyze-llms-txt.js - # → {totalUrls, distribution}

# Deploy agents per recommendation

```

Environment

Scripts load .env: process.env > ~/.{TOOL}/skills/docs-seeker/.env > ~/.{TOOL}/skills/.env > .{TOOL}/.env

See .env.example for configuration options.

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