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GitHub リポジトリ

agent-skills

agent-skills には kenryu42 から収集した 7 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。

収集済み skills
7
Stars
0
更新
2026-06-23
Forks
0
職業カバレッジ
4 件の職業カテゴリ · 100% 分類済み
リポジトリエクスプローラー

このリポジトリの skills

codex-security
情報セキュリティアナリスト

Use when the user asks for Codex Security workflows: repository-wide or scoped-path security scans, security reviews of pull requests, commits, branch diffs, or working-tree patches, deep exhaustive repository scans, fixing validated or plausible security findings, or individual threat-modeling, finding-discovery, validation, and attack-path-analysis phases.

2026-06-23
repo-explorer
ソフトウェア開発者

Clone and inspect external repositories in a reusable local exploration cache. Use this skill when the user asks to explore, inspect, investigate, compare, or answer questions about a repository that may not already be in the current workspace.

2026-06-18
test-coverage-improver
ソフトウェア品質保証アナリスト・テスター

Improve test coverage in the OpenAI Agents Python repository: run `bun run coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.

2026-06-03
atomic-commit
ソフトウェア開発者

Create atomic git commits

2026-06-03
runtime-review
ソフトウェア開発者

Use when diagnosing or fixing runtime CPU spikes, high event-loop latency, memory growth, heap leaks, garbage-collection pressure, or OOM crashes in Node.js, Bun, Deno, JavaScript/TypeScript services, or comparable long-running runtimes. Includes code-first triage, guided CPU and memory profiling, subagent-orchestrated review, before/after profile comparison, and structured remediation reports.

2026-05-29
sqlite-expert
データベースアーキテクト

SQLite database optimization, query writing, indexing, and best practices specialist. Proactively analyzes and optimizes SQLite databases for performance and reliability.

2026-05-28
thermo-nuclear-code-quality-review
ソフトウェア品質保証アナリスト・テスター

Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.

2026-05-28