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acreadiness-generate-instructions

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.

Install / Use

npx skills add github/awesome-copilot --skill acreadiness-generate-instructions

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

95/100

Supported Platforms

Claude Code
GitHub Copilot
OpenAI Codex

Our assessment of acreadiness-generate-instructions

acreadiness-generate-instructions scores 95/100 on our quality scale, 132nd of 1,753 Development & Engineering skills we index (top 8%).

Its SKILL.md is 8.2 KB long, well organised into 9 sections with 1 code example: a thorough specification that gives an agent plenty to work with.

With 39,348 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
17/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated yesterday, so acreadiness-generate-instructions is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

acreadiness-generate-instructions compared with similar skills

All 4 of these similar skills score higher than acreadiness-generate-instructions; compare them before choosing.

SkillScoreStarsUpdatedFormat
acreadiness-generate-instructions (this skill)by github9539.3k1d agoSKILL.md
Agent-Reachby Panniantong10085.4k9d agoCLAUDE.md
ai-job-searchby MadsLorentzen10043.9k4d agoCLAUDE.md
claude-howtoby luongnv8910041.7k5d agoCLAUDE.md
algorithmic-artby anthropics100177.9k2d agoSKILL.md

Frequently asked questions

How do I install acreadiness-generate-instructions?
Run npx skills add github/awesome-copilot --skill acreadiness-generate-instructions. The install tabs above show the steps for each supported agent.
Which AI agents does acreadiness-generate-instructions work with?
It is written for Claude Code, GitHub Copilot and OpenAI Codex, as a SKILL.md file. Other agents that read the same format can often use it too.
Is acreadiness-generate-instructions safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is acreadiness-generate-instructions still maintained?
The repository was last updated yesterday, so acreadiness-generate-instructions is actively maintained.

name: acreadiness-generate-instructions description: '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.' argument-hint: "[--output .github/copilot-instructions.md|AGENTS.md] [--strategy flat|nested] [--areas | --area <name>] [--apply-to <glob>] [--claude-md] [--dry-run]"

/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:

| File | Scope | When to use | |---|---|---| | .github/copilot-instructions.md | Always-on, whole workspace | Default — VS Code Copilot's native instruction file | | AGENTS.md | Always-on, whole workspace | Multi-agent repos (Copilot + Claude + others) | | .github/instructions/*.instructions.md | Scoped by applyTo glob | Per-area / per-language rules in monorepos | | CLAUDE.md | Claude-specific | Add 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:

| Kind | Filename example | applyTo example | Where it comes from | |---|---|---|---| | Topic (nested) | testing.instructions.md | **/*.{test,spec}.{ts,tsx,js} | AgentRC --strategy nested topic split | | Area (monorepo) | frontend.instructions.md | apps/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 use — flat 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:

| Topic | Default 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 | ** | 8. 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. 9. 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.

Related Skills

View on GitHub
GitHub Stars39.3k
CategoryDevelopment
Updated1d ago
Forks5.0k

Languages

JavaScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions