Generate progressive disclosure indexes for GitHub repositories to use as Claude project knowledge. Use when setting up projects referencing external documentation, creating searchable indexes of technical blogs or knowledge bases, combining multiple repos into one index, or when user mentions "index", "github repo", "project knowledge", or "documentation reference".
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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Create markdown indexes of GitHub repositories optimized for Claude project knowledge. Indexes enable retrieval via GitHub API with semantic descriptions for effective matching.
# Documentation repos (markdown/notebooks)
python scripts/github_index.py owner/repo -o index.md
# Code repos (extract symbols via tree-sitter)
python scripts/github_index.py owner/repo --code-symbols -o index.md
# Multiple repos combined
python scripts/github_index.py owner/repo1 owner/repo2 -o combined.md
| Flag | Description |
|---|---|
-o, --output | Output file (default: github_index.md) |
--token | GitHub PAT; also reads GITHUB_TOKEN env |
--include-patterns | Only index matching globs: "docs/**" "src/**" |
--exclude-patterns | Skip matching globs: "test/**" |
--max-files | Cap files per repo (default: 200) |
--skip-fetch | Tree only, no content fetch (fast, filename-only descriptions) |
--code-symbols | Include code files, extract function/class names via tree-sitter |
title: and description: fields--code-symbols)Some repos have stub files (links to external docs, empty readmes). In these cases:
Manual curation recommended. Use the tree output and domain knowledge:
# Get tree structure only (fast)
python scripts/github_index.py owner/repo --skip-fetch -o skeleton.md
# Then manually enhance descriptions based on domain knowledge
For code-heavy repos with embedded apps:
acc_wav_gen → "ACC waveform generation"# {Repo} - Content Index
**Repository:** {url}
**Branch:** `{branch}`
## Retrieval Method
{API curl commands}
---
## {Category}
| Description | Path |
|-------------|------|
| {What this covers} | `{path/file.md}` |
Description column leads (relevance matching), path follows (retrieval key).
Enumerate files:
curl -sL "https://api.github.com/repos/OWNER/REPO/git/trees/BRANCH?recursive=1"
Fetch content:
curl -s "https://api.github.com/repos/OWNER/REPO/contents/PATH?ref=BRANCH" \
-H "Accept: application/vnd.github+json" | \
python3 -c "import sys,json,base64; print(base64.b64decode(json.load(sys.stdin)['content']).decode())"
Both scripts download a repo tarball (single HTTP request, no per-file rate limits) then process files locally. Allowlist: api.github.com (tarball redirects via this endpoint)
accessing-github-repos - Private repos, PAT setup, tarball downloadtree-sitting - Detailed code structure (methods, imports, line numbers)For token-constrained project knowledge, use the condensed script:
python scripts/pk_index.py owner/repo -o repo_pk.md
Produces ~80% smaller output:
path — descriptionIdeal when adding multiple repo indexes to project knowledge.
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GitHub repository access in containerized environments using REST API and credential detection. Use when git clone fails, or when accessing private repos/writing files via API.
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Decide which model, effort level, and cascade shape each subagent gets, and how to keep improvement loops safe (evaluator-as-selector, stop on regression). Routes on measured cost-per-completed-task rather than per-token price, because a tier's token count varies more by task shape than price varies across tiers. Covers per-model effort semantics, the concision lever, cascade preconditions, context handoff, and watching a subagent fan-out live. Use when choosing a subagent's model or effort, when choosing how to escalate a failed attempt, or when asked which model or effort a task should get. Grounded in a 2026-07 calibration, a 2026-08 coding-cost study, a 2026-09 seeded-bug repair battery, a 2026-10 Haiku 5.5 ladder priced per spawn, and a 2026-10 retry-versus-escalation ladder on 295 SWE-bench Verified tasks; Managed Agents API specifics are operational, not calibrated.
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Securely manages API credentials for multiple providers (Anthropic Claude, Google Gemini, GitHub). Use when skills need to access stored API keys for external service invocations.
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Guidance for asking clarifying questions when user requests are ambiguous, have multiple valid approaches, or require critical decisions. Use when implementation choices exist that could significantly affect outcomes.
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Pre-change blast-radius report for a symbol or file. Walks tree-sitting references, augments with a plain-text scan over non-parsed files (configs, plain docs), and clusters affected sites by feature (`_FEATURES.md`) or top-level package. Use when about to refactor, rename, or delete something in a repo you don't own — "what breaks if I change `validateUser`", "who calls this", "is this safe to remove", "where is this used", "blast radius", "impact analysis". This is the CONVERGENT pre-change risk skill — for "what is this repo?" use exploring-codebases; for "where is X?" use searching-codebases.
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Read Bluesky/ATProto without depending on Bluesky's AppView — interactions on a user's posts, thread replies, any repo's records, network-wide backlinks across every lexicon, an account's handle and PDS history, which collections are active network-wide, and layer-by-layer outage diagnosis. Use when bsky.app or the AppView is down or slow, when a Bluesky read returns timeouts or 5xx, when asked who liked/replied/quoted/reposted something, when pulling live Bluesky context cheaply, when reading records straight from a PDS, when asked who references a record or account anywhere on the network, whether an account has changed handle or migrated servers, or which lexicons and non-Bluesky apps are active on atproto. Complements browsing-bluesky, which routes everything through the AppView and fails when it does.
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