Generate a map of all files relevant to a task before making changes
インストール方法を見る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。
Before implementing any changes, analyze the codebase and create a context map.
{{task_description}}
## Context Map
### Files to Modify
| File | Purpose | Changes Needed |
|------|---------|----------------|
| path/to/file | description | what changes |
### Dependencies (may need updates)
| File | Relationship |
|------|--------------|
| path/to/dep | imports X from modified file |
### Test Files
| Test | Coverage |
|------|----------|
| path/to/test | tests affected functionality |
### Reference Patterns
| File | Pattern |
|------|---------|
| path/to/similar | example to follow |
### Risk Assessment
- [ ] Breaking changes to public API
- [ ] Database migrations needed
- [ ] Configuration changes required
Do not proceed with implementation until this map is reviewed.
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 this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
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 the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
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 tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
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。
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
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 this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like "analyze my ad campaigns", "where am I wasting ad spend", "reallocate my ad budget", "which ads are actually working", or "ROAS analysis". Do not trigger for campaign planning or creative generation without performance data.
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 educational comments to the file specified, or prompt asking for file to comment if one is not provided.
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。