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Delegate complex coding tasks to a specialist model. Use when facing algorithmic challenges, performance optimization, or tricky debugging that benefits from focused code expertise.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | code-specialist |
| description | Delegate complex coding tasks to a specialist model. Use when facing algorithmic challenges, performance optimization, or tricky debugging that benefits from focused code expertise. |
When facing a complex coding task, delegate to the specialist rather than solving it yourself.
Describe the problem clearly to the specialist. Include:
The specialist returns code that you should integrate into your solution.
Review Benchflow or SkillsBench task-run trajectories and integration-test Benchflow code changes. Use this skill whenever the user asks to audit traj health, failed or timed-out runs, healthy pass/fail/timeout status, no-skill leakage, skill loading, reward hacking, verifier isolation, metadata completeness, token usage, timing, Daytona-vs-Docker parity, path/root handling, coverage gaps, Docker/Daytona failures, or release-readiness of benchmark data.
Run agent benchmarks, create tasks, analyze results, and manage agents using BenchFlow. Use when asked to benchmark an AI coding agent, run a benchmark suite, create tasks, view trajectories, or compare agent performance.
Run agent benchmarks, create tasks, analyze results, and manage agents using BenchFlow. Use when asked to benchmark an AI coding agent, run a benchmark suite, create tasks, view trajectories, or compare agent performance.
Adopt, convert, verify, and publish upstream benchmarks as BenchFlow benchmarks. Use when asked to port a benchmark, create a BenchFlow adapter, write or review benchmarks/<name>/benchflow.py, run parity, route a benchmark through L1/L2/L3, or decide whether a benchmark should run natively, be translated, or run as-is.
Review benchflow documentation for drift, staleness, duplication, and alignment
Manage a BenchFlow release end-to-end — choose the channel (public vs internal-preview vs release-candidate), stage and publish it safely, and run the pre-tag audit gates. Use when the user says "release", "cut a release", "release candidate", "rc", "internal tag", "publish to PyPI", "prerelease", "tag v0.x", or asks how releases/versions/channels work here. Complements `launch-prep` (which mechanically prepares a public cut); this skill owns the channel decision, the RC-without-merging-to-main flow, and the audit gates.
