Use when an artifact or skill has just changed and is about to be called done, committed, or handed off. Not for remote, credential, publish, deploy, or irreversible changes.
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。
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概要と使いどころ
Use when an artifact or skill has just changed and is about to be called done, committed, or handed off. Not for remote, credential, publish, deploy, or irreversible changes.
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 /polished-web-prototype runs or a user builds an artifact from a mockup, design plan, or brief. Not for variant galleries: use design-variants. Not for live audits: use web-design-review.
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Use when dead, duplicate, superseded, or generated residue must leave more than one artifact class of a repo or subsystem, preserving behavior. Not for one enumerated record set: use clean-clean-cut.
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 the user wants a clean Xcode rebuild by deleting DerivedData and build artifacts. Do not use for diagnosing a specific build error: use ios-build-fix.
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 the user asks to simplify, clean, or refine code. Not for new abstractions or whole-codebase refactors.
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 an implementation has more workarounds than structure and another patch will not pay. Not for in-place re-derivation: use breaking-driven. Not for one-artifact rewrites: use rewrite-clean-v0.
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 code mixes units, fixed-point precisions, scaling factors, rates, prices, shares, or conversions. Not for type-level unit modeling: use type-driven.
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 Atlas Mermaid catalog diagrams need rendering or rendered artifacts need verification.
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。
Transfer reusable prevention lessons from another AI Factory project into the current project's skill-context through $aif-evolve. Use when building a similar project and you want to avoid problems already captured in another project's patches without copying or revealing that project's identity, paths, or identifiers.
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。
Load the essential AI Factory project context before work begins. Reads configured DESCRIPTION, ARCHITECTURE, ROADMAP, RESEARCH, RULES, and applicable AGENTS.md files, then returns a compact session handoff suitable for continuing or forking. Use at the start of a new session or after context loss.
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。
Integrate one exact-head Proto UI pull request through either the ordinary independent-review path or a separately explicit current-user connected-operation decision. Preserve source, DCO, live platform enforcement and all deferred criteria; never manufacture approval or acceptance.
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。
Update Proto UI human documentation, localized pages, contributor guidance, demos, or package prose as a projection of governed repository facts. Use when the reader problem and source authority are known. Do not use documentation to invent semantics, hide drift, or widen a lifecycle guarantee.
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。
Audit one bounded Proto UI deployment or publication evidence slice against an exact revision and delivery surface. Use to verify revision identity, environment result, artifacts, and observable health. Do not deploy, promote, roll back, publish, release, or change environment protection.
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。
Audit an already completed protected Proto UI publication and reconcile immutable external facts with Version entities, release records, and public projections. Use after publication for registry, tag, GitHub Release, asset, checksum, workflow-head, and deployment evidence. Never republish or replace immutable evidence.
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。
Apply one exact-target Proto UI collaboration update through the ordinary governed primitive or an explicitly current-user connected-operation path for archive/ref recovery, Issue reopening/linking, additive carrier publication and service control. Do not manufacture review dispositions, merge, close, release or change privileged settings.
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。
Generate architecture guidelines for the project. Analyzes tech stack from DESCRIPTION.md, recommends an architecture pattern, and creates .ai-factory/ARCHITECTURE.md. Use when setting up project architecture, asking "which architecture", or after $aif setup.
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。
Create knowledge references from URLs, documents, or files for use by AI agents. Fetch, process, and store structured references in the configured references directory (default: .ai-factory/references/).
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。
Enter explore mode to investigate ideas, systems, problems, and requirements before planning. Use explicit ultra mode when the user wants a durable adaptive research bundle with an index and only the justified C4, ADR, or dependency artifacts.
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。
Add project-specific rules and conventions to the configured RULES.md artifact. Each invocation appends new rules. These rules are automatically loaded by $aif-implement before execution. Use when user says "add rule", "remember this", "convention", or "always do X".
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。
Code quality guidelines and best practices for writing clean, maintainable code. Covers naming, structure, error handling, testing, and code review standards. Use when writing code, reviewing, refactoring, or asking "how should I name this", "best practice for", "clean code".
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。
Run a strict multi-iteration Reflex Loop with phases (PLAN, PRODUCE||PREPARE, EVALUATE, CRITIQUE, REFINE) to improve an artifact until quality gates pass or iteration limits are reached. Use when user asks for iterative refinement, quality-gated generation, or "generate -> critique -> refine" loops.
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。
Self-improve AI Factory skills based on project context, accumulated patches, and codebase patterns. Analyzes what went wrong, what works, and enhances skills to prevent future issues. Use when you want to make AI smarter for your project.
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。
Add a real achievement, measurement, skill, or project update to the master resume. Use when the user wants to record new factual experience.
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。
Extract knowledge (decisions, facts, session metadata) from the current Claude Code session into the Grafema Knowledge Base. Run after completing a task or at any point when substantive knowledge was produced. Follows runbook _ai/runbooks/02-claude-sessions.md.
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。