acreadiness-generate-instructionsoleh github

Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS…

npx skills add https://github.com/github/awesome-copilot --skill acreadiness-generate-instructions

/acreadiness-generate-instructions — write AI agent instructions

Use this skill whenever the user wants to create, regenerate, or refresh their custom instructions for AI coding agents (Copilot, Claude, etc.). This is the Generate step in AgentRC's Measure → Generate → Maintain loop and the single highest-leverage action for the AI Tooling pillar.

Output options

VS Code recognises several instruction file types — AgentRC generates the most common ones:

FileScopeWhen to use
.github/copilot-instructions.mdAlways-on, whole workspaceDefault — VS Code Copilot's native instruction file
AGENTS.mdAlways-on, whole workspaceMulti-agent repos (Copilot + Claude + others)
.github/instructions/*.instructions.mdScoped by applyTo globPer-area / per-language rules in monorepos
CLAUDE.mdClaude-specificAdd via --claude-md (nested only)

Strategies

  • flat (default) — single .github/copilot-instructions.md at the chosen path. Simple, easy to review.
  • nested — hub at .github/copilot-instructions.md + per-topic detail files at .github/instructions/<topic>.instructions.md, each with an applyTo glob so VS Code only loads the topic when it's relevant. Better for large or multi-stack repos.

Why .github/instructions/ and not .agents/? AgentRC's default nested layout writes to .agents/, which is the right home for agent-agnostic repos (Copilot + Claude + Cursor reading AGENTS.md). For VS Code Copilot specifically, the native location is .github/instructions/ with applyTo frontmatter — that's what Copilot auto-discovers. This skill rewrites AgentRC's nested output to the VS Code-native location whenever the main output is .github/copilot-instructions.md. If you instead chose --output AGENTS.md, nested keeps AgentRC's default .agents/ layout.

For monorepos, generate area-scoped instructions with --areas, --area <name>, or --areas-only. Areas are defined in agentrc.config.json. Per-area output is written as VS Code .instructions.md files with an applyTo glob (see below).

Topic vs area .instructions.md files

Both end up in .github/instructions/ but they answer different questions:

KindFilename exampleapplyTo exampleWhere it comes from
Topic (nested)testing.instructions.md**/*.{test,spec}.{ts,tsx,js}AgentRC --strategy nested topic split
Area (monorepo)frontend.instructions.mdapps/frontend/**agentrc.config.json areas + --areas

You can have both at once: a nested set of topic files plus per-area files for a monorepo.

Per-area files with applyTo

When the user opts into areas, emit one VS Code-native .instructions.md file per area at .github/instructions/<area>.instructions.md. Each file MUST start with frontmatter declaring the glob the rules apply to:

---
applyTo: "apps/frontend/**"
---

# Frontend area instructions

…AgentRC-generated content for this area…

Workflow:

  1. Read agentrc.config.json to discover declared areas and their paths / globs. If paths is missing, ask the user for the glob (e.g. src/api/**).
  2. Run agentrc instructions --areas (or --area <name>) to produce the per-area body content.
  3. Wrap each area's content in .github/instructions/<area>.instructions.md with the applyTo frontmatter taken from the area's paths. If the user passed --apply-to <glob> on a single-area call, use that glob verbatim.
  4. Leave the main file alone — the root .github/copilot-instructions.md stays as the always-on instructions; .instructions.md files only kick in for matching paths.

Naming: lowercase, kebab-case area name. Examples: .github/instructions/frontend.instructions.md, .github/instructions/api.instructions.md, .github/instructions/infra.instructions.md.

Steps

  1. Pick the target file. Default to .github/copilot-instructions.md. Switch to AGENTS.md only if the user mentions multi-agent / Claude / Cursor support.
  2. Always ask which strategy to useflat or nested — unless the user already specified one in their message or via --strategy. Present the trade-off briefly:
    • Flat (default) — one .github/copilot-instructions.md. Simple, easy to review in a single PR. Best for small/medium repos with one stack.
    • Nested — hub .github/copilot-instructions.md + per-topic .github/instructions/<topic>.instructions.md files (each with an applyTo glob so VS Code only loads them when relevant). Best for large or multi-stack repos. Add --claude-md to also emit CLAUDE.md. Recommend nested proactively when the repo has > 5 top-level directories, multiple stacks, or already uses a monorepo tool (turbo/nx/pnpm workspaces).
  3. Detect monorepo areas by reading agentrc.config.json. If areas exist, ask the user whether they want per-area .instructions.md files with applyTo in addition to the root file. Default to "yes" when agentrc.config.json declares areas.
  4. Run dry-run first so the user can preview:
    npx -y github:microsoft/agentrc instructions --output <file> --strategy <flat|nested> [--areas|--area <name>] [--claude-md] --dry-run
    
  5. Show a short summary of what would change — files that would be created or overwritten, area count + their applyTo globs, model used (default claude-sonnet-4.6).
  6. On confirmation, run the same command without --dry-run (and optionally --force if files already exist).
  7. Post-process layout for Copilot output:
    • If --output ends in copilot-instructions.md and strategy is nested: move/rewrite AgentRC's .agents/<topic>.md files to .github/instructions/<topic>.instructions.md. Add frontmatter to each file with an appropriate applyTo glob (see "Topic applyTo defaults" below). Delete the now-empty .agents/ directory.
    • If --areas was used: also write .github/instructions/<area>.instructions.md for every area, using each area's paths from agentrc.config.json as the applyTo glob (override with --apply-to for single-area calls).
    • If --output AGENTS.md was chosen: keep AgentRC's native .agents/ layout for nested — agent-agnostic readers expect it there. Create the .github/instructions/ directory if missing.

Topic applyTo defaults

When promoting AgentRC's nested topic files to .instructions.md, use these defaults unless the user specifies otherwise:

TopicDefault applyTo
testing**/*.{test,spec}.{ts,tsx,js,jsx,mjs,cjs}
style / code-quality / formatting**/*.{ts,tsx,js,jsx,mjs,cjs,py,go,rs,java,kt,cs}
build / ci**/{package.json,turbo.json,nx.json,.github/workflows/**}
docs**/*.md
security**
anything else / hub-level**
  1. Verify by reading the generated file(s) back and showing the user a 1-paragraph synopsis: stack detected, conventions captured, length, list of .instructions.md files with their globs.
  2. Suggest next steps:
    • Re-run the assess skill to confirm the AI Tooling pillar score improved.
    • If the user already has both copilot-instructions.md and AGENTS.md, recommend consolidating to a single source of truth (AgentRC flags this at maturity Level 2+).

Notes

  • AgentRC reads your actual code — no templates. Output reflects detected languages, frameworks, and conventions.
  • --claude-md (nested strategy only) also emits CLAUDE.md.
  • VS Code applies .instructions.md files automatically when the active file matches applyTo. The root .github/copilot-instructions.md always loads.
  • Never run this skill non-interactively in CI; instructions are part of the repo and should land via PR.

Lebih banyak skill dari github

console-rendering
by github
Instructions for using the struct tag-based console rendering system in Go
acquire-codebase-knowledge
by github
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…
acreadiness-assess
by github
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc…
acreadiness-policy
by github
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting…
add-educational-comments
by github
Add educational comments to code files to transform them into effective learning resources. Adapts explanation depth and tone to three configurable knowledge levels: beginner, intermediate, and advanced Automatically requests a file if none is provided, with numbered list matching for quick selection Expands files by up to 125% using educational comments only (hard limit: 400 new lines; 300 for files over 1,000 lines) Preserves file encoding, indentation style, syntax correctness, and...
adobe-illustrator-scripting
by github
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate…
agent-governance
by github
Declarative policies, intent classification, and audit trails for controlling AI agent tool access and behavior. Composable governance policies define allowed/blocked tools, content filters, rate limits, and approval requirements — stored as configuration, not code Semantic intent classification detects dangerous prompts (data exfiltration, privilege escalation, prompt injection) before tool execution using pattern-based signals Tool-level governance decorator enforces policies at function...
agent-owasp-compliance
by github
Evaluate AI agent systems against the OWASP Agentic Security Initiative (ASI) Top 10 — the industry standard for agent security posture.

NotebookLM Web Importer

Impor halaman web dan video YouTube ke NotebookLM dengan satu klik. Dipercaya oleh 200.000+ pengguna.

Instal Ekstensi Chrome