Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
日本語の概要は準備中です。原文の説明を表示しています。
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Two-axis review of the diff between HEAD and a fixed point the user supplies:
Both axes run as parallel sub-agents so they don't pollute each other's context, then this skill aggregates their findings.
If the originating issue lives in a tracker, fetch it with gh issue view (GitHub) or read it from production_artifacts/. For an adversarial single-axis review of build output, requesting-code-review and the reviewer agents remain the pipeline path; this skill is the two-axis (Standards + Spec) report.
Whatever the user said is the fixed point (a commit SHA, branch name, tag, main, HEAD~5, etc.). If they didn't specify one, ask for it.
Capture the diff command once: git diff <fixed-point>...HEAD (three-dot, so the comparison is against the merge-base). Also note the list of commits via git log <fixed-point>..HEAD --oneline.
Before going further, confirm the fixed point resolves (git rev-parse <fixed-point>) and the diff is non-empty. A bad ref or empty diff should fail here, not inside two parallel sub-agents.
Look for the originating spec, in this order:
#123, Closes #45, GitLab !67, etc.), fetched via the workflow in the tracker doc.production_artifacts/, docs/, specs/, or .scratch/ matching the branch name or feature.Search the repo for every file that documents how code should be written. When CODING_STANDARDS.md or CONTRIBUTING.md exists, it must be on the list.
On top of whatever the repo documents, the Standards axis always carries the smell baseline below: a fixed set of Fowler code smells (Refactoring, ch.3) that applies even when a repo documents nothing. Two rules bind it:
Each smell reads what it is → how to fix; match it against the diff:
switch/if-cascade on the same type recurs across the change. → replace with polymorphism, or one map both sites share.a.b().c().d() navigation the caller shouldn't depend on. → hide the walk behind one method on the first object.Issue both sub-agent calls together, in the foreground, and aggregate the reports they return.
Standards sub-agent prompt should include:
Spec sub-agent prompt should include:
If the spec is missing, skip the Spec sub-agent and note this in the final report.
Present the two reports under ## Standards and ## Spec headings, verbatim or lightly cleaned. Do not merge or rerank findings, because the two axes are deliberately separate (see Why two axes).
End with a one-line summary: total findings per axis, and the worst issue within each axis (if any). Don't pick a single winner across axes: that's the reranking the separation exists to prevent.
A change can pass one axis and fail the other:
Reporting them separately stops one axis from masking the other.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
日本語の概要は準備中です。原文の説明を表示しています。
Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
日本語の概要は準備中です。原文の説明を表示しています。
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
日本語の概要は準備中です。原文の説明を表示しています。
Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
日本語の概要は準備中です。原文の説明を表示しています。
agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
日本語の概要は準備中です。原文の説明を表示しています。