Library Documentation Seeker

What it does

When your agent uses it

• Looking up the current API of a library or framework
• Checking setup or configuration steps in a library's latest docs
• Analyzing a GitHub repository's documentation when Context7 lacks coverage

Example prompts

• “Look up how to configure retries in the latest axios docs.”
• “Find the setup steps for the Stripe Node library and summarize them.”
• “Context7 has nothing on this package, so read its llms.txt and tell me how routing works.”

Requirements

• The Context7 MCP for the default lookup path
• Node.js to run the fallback scripts
• Network access to context7.com

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit 3bcb2f9. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 8 files in scripts/ (JavaScript, from the files we listed), which the agent can run.

  Shell commands in SKILL.md call:

  • node

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • CONTEXT7_API_KEY

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Library Documentation Seeker loads about 1k tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 292 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~46

When it runs · the whole SKILL.md, loaded when a task matches

~1k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NoteMentions a .env fileSKILL.md:106

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

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from withkynam/vibecode-pro-max-kit at commit 3bcb2f9, republished under its MIT licence (© withkynam). 292 words, ~1,017 tokens.

name

vc-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]

trigger_keywords

how does X work, API docs, version, syntax

layer

helper

metadata.author

claudekit

metadata.version

3.1.0

# 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 -

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

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

© withkynam, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 16 other files (scripts, references) in .claude/skills/vc-docs-seeker of withkynam/vibecode-pro-max-kit.

• SKILL.md
• .env.example
• package.json
• references/advanced.md
• references/context7-patterns.md
• references/errors.md
• scripts/analyze-llms-txt.js
• scripts/detect-topic.js
• scripts/fetch-docs.js
• scripts/tests/run-tests.js
• scripts/tests/test-analyze-llms.js
• scripts/tests/test-detect-topic.js
• scripts/tests/test-fetch-docs.js
• scripts/utils/env-loader.js
• workflows/library-search.md
• workflows/repo-analysis.md
• … and 1 more

Open the folder on GitHubat commit 3bcb2f9

Used in 2 other repositories

We found 29 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in withkynam/vibecode-pro-max-kit, which our catalogue first saw on October 7, 2026.

• majiayu000/claude-skill-registryskills/analysis/docs-seeker-nammdev-goads-kreaskills/analysis/docs-seeker-binjuhor-shadcn-lar+26 more
• binjuhor/shadcn-lar.claude/skills/docs-seeker