agentleFS
paulasilvatechpaulasilvatech/awesome-copilot-adventures/.github/copilot-instructions.md

awesome-copilot-adventures

Copilot instructions1 starsChanged 2 months agoMITView on GitHub

This repository is an educational curriculum for agentic development with GitHub Copilot. Each adventure must include metadata, official references, story, objectives, prerequisites, concepts, Ask → Plan → Agent workflow, guided mission, intentional failure, independent challenge, evidence checklist, reset instructions, and a rubric. - Use “Model Context Protocol,” never “Model Control Protocol.” - Use .agent.md for custom agents; do not teach deprecated custom chat modes. - Mark hooks, memory, or experimental features with their documented status. - Do not state that…

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

Show its rules and text

We split this copilot-instructions.md into the rules it gives an agent

13 rules. About 0 are common, 5 are distinctive, and 8 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 8

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  • could be automatic: a setting could enforce it
  1. Very specific:

    Write current adventures in adventures/<level>/<slug>/.

    line 14
  2. Very specific:

    Put executable starters in labs/<slug>/.

    line 15
  3. Very specific:

    Put current site pages in docs/.

    line 16
  4. Very specific:

    Keep numbered hands-on exercises and their fixtures in mslearn-github-copilot/.

    line 17
  5. Very specific:

    Put generated media in assets/.

    line 18
  6. Very specific:

    Treat legacy/ as read-only historical material unless the task explicitly targets it.

    line 19
  7. Distinctive:

    Use “Model Context Protocol,” never “Model Control Protocol.”

    line 27
  8. Very specific:

    Use .agent.md for custom agents.

    line 28
  9. Distinctive:

    Do not state that a tool, model, or target is universally available.

    line 30
  10. Distinctive:

    Do not claim performance or productivity improvements without executed evidence.

    line 31
  11. Distinctive:

    Never commit secrets or real API keys.

    line 32
  12. Distinctive:

    Use the canonical monochrome palette, accessible title/description, legend and explanation for every Mermaid diagram.

    line 33
  13. Very specific:

    Run npm test after documentation or JavaScript changes.

    line 38

≈ “Common” is an estimate: at least 1 in 5 of the 3,779 Copilot instructions files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
copilot-instructions.md

Repository instructions

This repository is an educational curriculum for agentic development with GitHub Copilot.

Priorities

  1. Technical accuracy against current official GitHub and Microsoft documentation.
  2. Reproducible learning with observable evidence.
  3. Clear separation of role, harness, execution environment, and customization primitive.
  4. Accessible fantasy storytelling that supports rather than obscures the lesson.

Structure

  • Write current adventures in adventures/<level>/<slug>/.
  • Put executable starters in labs/<slug>/.
  • Put current site pages in docs/.
  • Keep numbered hands-on exercises and their fixtures in mslearn-github-copilot/.
  • Put generated media in assets/.
  • Treat legacy/ as read-only historical material unless the task explicitly targets it.

Adventure format

Each adventure must include metadata, official references, story, objectives, prerequisites, concepts, Ask → Plan → Agent workflow, guided mission, intentional failure, independent challenge, evidence checklist, reset instructions, and a rubric.

Guardrails

  • Use “Model Context Protocol,” never “Model Control Protocol.”
  • Use .agent.md for custom agents; do not teach deprecated custom chat modes.
  • Mark hooks, memory, or experimental features with their documented status.
  • Do not state that a tool, model, or target is universally available.
  • Do not claim performance or productivity improvements without executed evidence.
  • Never commit secrets or real API keys.
  • Use the canonical monochrome palette, accessible title/description, legend and explanation for every Mermaid diagram. Do not add fantasy stories to the hands-on track.

Validation

Run npm test after documentation or JavaScript changes. Run the targeted language build/test when changing a solution.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.