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Generate AI Agent Instructions

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Create tailored instructions for AI coding agents easily.

by github37.7k stars on github/awesome-copilot
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Updated Aug 10, 2026
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What Generate AI Agent Instructions does

The /acreadiness-generate-instructions skill is designed to facilitate the creation, regeneration, or refreshing of custom instructions for AI coding agents like Copilot and Claude. This skill is part of the AgentRC framework's Measure → Generate → Maintain loop, with a focus on enhancing the AI Tooling pillar. By running this skill, users can generate essential instruction files that guide how AI agents interact with their codebase, ensuring that the agents are aligned with the project's specific needs and conventions.

The skill produces a primary instruction file, .github/copilot-instructions.md, which is the default format recommended for use with VS Code Copilot. Additionally, it offers the flexibility to create scoped instruction files for different areas or languages within a monorepo setup. This is particularly useful for larger projects where different parts of the codebase may require distinct instructions to optimize the AI's performance. Users can choose between flat or nested output strategies, allowing for a simple single-file approach or a more organized structure with multiple topic-specific files.

For monorepos, the skill can generate area-specific instruction files that contain applyTo globs, ensuring that the right instructions are applied only when relevant. This targeted approach helps maintain clarity and relevance, reducing noise in the AI's interactions with the code. The skill reads the actual codebase to determine the languages and frameworks in use, producing output that accurately reflects the project's structure and conventions.

This skill is particularly beneficial for developers and teams looking to enhance their productivity by ensuring that AI coding agents are effectively guided by tailored instructions. It streamlines the process of maintaining AI tooling, making it easier to keep instructions up to date as the codebase evolves.

When to use it

Use this skill when you need to generate or update instructions for AI coding agents in your project, especially in monorepo setups.

When not to use it

Avoid using this skill in CI environments or when a simple, static instruction file suffices without the need for ongoing updates.

What you can build with it

Updating AI Instructions

Run this skill to refresh your AI agent instructions after significant changes in your codebase.

Generating Instructions for Monorepos

Use this skill to create area-specific instructions for different parts of a monorepo, ensuring tailored guidance.

Switching AI Tools

If you're transitioning between AI coding agents, this skill helps regenerate the necessary instruction files accordingly.

How to install Generate AI Agent Instructions

View source

1. Install with the skills CLI

npx skills add github/awesome-copilot/acreadiness-generate-instructions --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by github

/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.

Frequently asked questions about Generate AI Agent Instructions

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