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Explore and explain how a system, module, or codebase works. Use when the user is onboarding, trying to understand unfamiliar code, or building a mental model.
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
Plan a multi-PR feature, migration, or architectural change before writing code. Writes a `.plans/<slug>/` directory of HTML documents (with inline UI mockups and a review-tracking layer) — a 1-page `overview.html` for human review, a mandatory `data-model.html` that locks the schema before anything else, a terse `plan.html` of dependency-ordered increments, an ADR-style `decisions.html`, and a `verification.html` acceptance script. Use whenever the user says "plan this feature", "scope out the migration", "/plan-large", "architect this rollout", "I need a plan covering schema and API", "design this across multiple PRs", or "break this work up". Also use whenever the work touches a database migration, even if it's only two PRs — schema-first is the gate. Runs a blind self-review subagent before presenting. Do NOT use for single-PR changes — bail to `plan-small` at Step 0. Do NOT use to start implementing — that's `/implement-plan` after the plan is approved.
Plan a single-PR change end-to-end before writing code. Writes a terse `.plans/<slug>/plan.html` (HTML, with inline UI mockups where a screen changes, rendered through the shared design system) covering files to touch, data-model changes, edge cases, verification, and decisions/assumptions sourced to code or user. Use whenever the user says "plan this", "scope this out", "write up a plan for X", "/plan-small", "let's plan the new flag", or "plan before we start". Also use whenever the user describes a small feature without explicitly asking to plan — propose a plan before coding. Asks only what code can't answer (in-repo PRDs count), surfaces planned assumptions alongside questions, then runs a blind self-review subagent before presenting. Do NOT use for multi-PR work, schema migrations beyond adding a nullable column, or sequenced increments — bail to `plan-large` at Step 0. Do NOT use to start implementing — that's `/implement-plan` after the plan is approved.
Aggressive cleanup audit scoped to the user's specified changes plus tangibly-relevant surrounding code. Same blind audit-* specialists as code-audit, with a maximum-improvement posture — any code in the expanded review scope that can be cleaner WILL be made cleaner. Small fixes applied inline; big fixes (>5 files, schema, public API, redesigns) routed through `/plan-small` or `/plan-large`. Plan-overrides — when the audit reveals the original plan was wrong — route through `/plan-large` by default. Always improve over preserve.
Execute a plan increment-by-increment with the audit-* specialists running independently at strategic checkpoints. Use whenever the user says "implement the plan with audits", "audited implementation", "run with audits", "implement with cleanup checkpoints", "audit as you go", or invokes /implement-plan-audited. Inherits the full per-increment verification loop from `implement-plan` (done-criteria evidence, layered retry ladder, file-divergence check, outcome records) and adds checkpoint annotation, blind parallel audits, audit-fix verification (each FIX closes its own loop), plan-override propagation, and BEHAVIOR_CHANGE.md artifacts. Two modes — `manual` stops between increments for user review; `auto` applies audit fixes and proceeds without interruption, designed for hours of unattended execution. Specialists are blind to the plan and the goal. Do NOT use for unaudited plan execution — use `implement-plan`. Do NOT use for one-shot audits of existing code — use `code-audit`. Do NOT use for planning or repl
Execute an approved plan increment-by-increment with deterministic verification at each step. Use whenever the user says "implement the plan", "run the plan", "execute the plan", "work through the increments", "do the plan", or invokes /implement-plan. Done-criteria are checked against evidence on disk, not asserted from memory; failures escalate through a layered ladder rather than repeated identical attempts; existing code gets behavior-preservation tests before modification; file divergence (touched vs declared) is reconciled before each commit; structured outcome records land in the plan file. Designed for fresh sessions with no prior context. Do NOT use for planning itself — use `plan-small` or `plan-large`. Do NOT use for unplanned coding without a plan file — use `coding-process`. Do NOT use when the user wants audits in the loop — use `implement-plan-audited`.
Stress-test a plan file before committing to implementation. Catches architectural mistakes, convention violations, and missing dependencies while changes are still cheap. Invoked directly, not routed from coding-process.
| name | learn-system |
| description | Explore and explain how a system, module, or codebase works. Use when the user is onboarding, trying to understand unfamiliar code, or building a mental model. |
Entry point exploration:
In Claude Code, use the Explore subagent for this — it keeps the main context clean.
Visual mental model: Draw a diagram (mermaid or ASCII) showing:
Save the diagram — visual models compress understanding.
Trace a specific flow: Walk through a concrete scenario step by step:
Pick the most common scenario first, then trace edge cases.
Socratic verification (when the user states their understanding):
Telling the AI what you think is true and asking for corrections is dramatically more effective than open-ended questions.
Capture the understanding (if asked): Write a brief architecture doc:
git diff, repo-wide search, long log, large fetch) goes to /tmp/hawk-learn-system-<step>.log, then rg -n '<pattern>' /tmp/hawk-learn-system-<step>.log | head -50 extracts what you need. Read the file only with offset/limit. See README → Big-output discipline. Explore subagents must apply the same recipe to their captures.