llms.txt

# Context Hub (chub)

> CLI tool for searching and fetching LLM-optimized documentation and skills. Install: npm install -g @aisuite/chub

## Content Types

- doc: API/SDK reference documentation. Versioned, language-specific. Entry file: DOC.md
- skill: Task recipes, automation patterns, coding playbooks. Standalone. Entry file: SKILL.md

## Commands

### chub search [query]
Search docs and skills. No query lists all entries.

Flags:
  --tags <csv>        Filter by tags (comma-separated)
  --json              JSON output with { total, results[] }

Examples:
  chub search                         # list everything
  chub search "stripe"                # fuzzy search by name/description
  chub search stripe/payments         # exact id returns full detail
  chub search --tags automation       # filter by tag

### chub get <ids...>
Fetch one or more docs or skills by ID. Auto-detects type (doc vs skill). Auto-infers language when only one is available.

Flags:
  --lang <language>   Language variant (js, py, ts, etc.)
  --version <version> Specific doc version
  --full              Fetch all files, not just the entry point
  --file <paths>      Fetch specific file(s) by path (comma-separated)
  -o, --output <path> Write to file or directory
  --json              JSON output with { id, type, content, path, additionalFiles?, annotation? }

Examples:
  chub get stripe/api                           # single doc (auto-infers lang if only one)
  chub get openai/chat-api --lang py            # specific language
  chub get pw-community/login-flows             # fetch a skill
  chub get stripe/api openai/chat-api           # multiple entries
  chub get acme/widgets --file references/advanced.md   # specific reference file
  chub get acme/widgets --full                  # all files
  chub get stripe/api -o .context/stripe.md     # save to file

Behavior:
  - When additional reference files exist beyond the entry point, output includes a footer listing them
  - Use --file to fetch specific reference files without fetching everything
  - If an annotation exists for the entry, it is appended after the content

### chub annotate [id] [note]
Attach persistent notes to a doc or skill. Notes appear on future `chub get` calls.

Flags:
  --clear             Remove annotation for this entry
  --list              List all annotations
  --json              JSON output

Examples:
  chub annotate stripe/api "Use idempotency keys for POST requests"   # set note
  chub annotate stripe/api                     # view current note
  chub annotate stripe/api "Updated note"      # replaces previous note
  chub annotate stripe/api --clear             # remove note
  chub annotate --list                         # list all annotations

Storage: ~/.chub/annotations/ (local, per-machine)

### chub feedback [id] [rating] [comment]
Rate a doc or skill (up/down). Sent to the registry for maintainers.

Flags:
  --label <label>     Feedback label (repeatable). Valid: accurate, well-structured, helpful, good-examples, outdated, inaccurate, incomplete, wrong-examples, wrong-version, poorly-structured
  --lang <language>   Language variant
  --file <file>       Specific file within the entry
  --agent <name>      AI tool name
  --model <model>     LLM model name
  --status            Show telemetry status
  --json              JSON output

Examples:
  chub feedback stripe/api up "Clear examples"
  chub feedback openai/chat down --label outdated --label wrong-examples

### chub update
Download or refresh the cached registry.

### chub cache status|clear
Manage the local cache. `status` shows cache info, `clear` removes cached content.

### chub build <content-dir>
Build a registry from a local content directory.

Flags:
  -o, --output <path>     Output directory (default: <content-dir>/dist)
  --base-url <url>        Base URL for remote serving
  --validate-only         Validate without building
  --json                  JSON output

## Agent Workflow

Recommended pattern for AI agents using Context Hub:

1. SEARCH: Find relevant documentation
   chub search "stripe payments" --json | jq -r '.results[0].id'

2. FETCH: Get the documentation
   chub get stripe/api --lang js

3. USE: Read the content, write code based on it

4. ANNOTATE: Record what you learned for future sessions
   chub annotate stripe/api "Webhook verification requires raw body, not parsed JSON"

5. NEXT SESSION: Fetch again — your annotation appears automatically
   chub get stripe/api --lang js
   # Content is followed by your previous annotation

This loop means agents improve over time. Annotations persist across sessions.

## Annotation Best Practices

After using a doc to complete a task, annotate what you learned that wasn't obvious from the doc itself:
- Environment-specific gotchas ("requires raw body for webhook verification")
- Version-specific notes ("v3 API requires different auth header format")
- Project-specific context ("we use the batch endpoint, not individual calls")
- Error resolutions ("rate limit errors need exponential backoff with jitter")

Do NOT annotate information that's already clearly stated in the doc.

## Piping Patterns

# Search, pick first result, fetch
ID=$(chub search "stripe" --json | jq -r '.results[0].id')
chub get "$ID" --lang js -o .context/stripe.md

# Fetch multiple docs at once
chub get openai/chat stripe/api -o .context/

# Check what additional files are available
chub get acme/widgets --json | jq '.additionalFiles'

# Fetch a specific reference file
chub get acme/widgets --file references/advanced.md

# List all your annotations
chub annotate --list --json

## Key Behaviors

- Auto-detect type: `chub get` works for both docs and skills. No need to specify type.
- Auto-infer language: If a doc has only one language variant, --lang is not required.
- Multi-language prompt: If a doc has multiple languages and --lang is not specified, the CLI lists available languages.
- Incremental fetch: Default fetch returns only the entry file. A footer lists additional reference files. Use --file for selective fetch, --full for everything.
- Annotations on fetch: If an annotation exists for an entry, it appears at the end of `chub get` output in both human and JSON modes.
- Multi-source: Config supports multiple sources (URLs and local paths). On ID collision, prefix with source name: `chub get internal:openai/chat`.
- JSON everywhere: All commands support --json for structured output.

## Configuration

File: ~/.chub/config.yaml

sources:
  - name: community
    url: https://cdn.aichub.org/v1
  - name: internal
    path: /path/to/local/docs

source: "official,maintainer,community"   # trust policy
refresh_interval: 86400                   # cache TTL in seconds
telemetry: true                           # anonymous analytics (opt out: false or CHUB_TELEMETRY=0)