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PromptsMay 11, 2026·2 min de lecture

Awesome Copilot Agents — Instructions, Prompts & MCPs

Awesome Copilot Agents is a curated list of Copilot instructions, prompts, skills, MCPs, and agent files to bootstrap stronger repo workflows.

Prêt pour agents

Cet actif peut être lu et installé directement par les agents

TokRepo expose une commande CLI universelle, un contrat d'installation, le metadata JSON, un plan selon l'adaptateur et le contenu raw pour aider les agents à juger l'adaptation, le risque et les prochaines actions.

Native · 96/100Policy : autoriser
Surface agent
Tout agent MCP/CLI
Type
Knowledge
Installation
Single
Confiance
Confiance : Community
Point d'entrée
README.md
Commande CLI universelle
npx tokrepo install cf2dfc89-8d63-4b7d-8810-9ae8189ce6b4
Introduction

Awesome Copilot Agents is a curated list of Copilot instructions, prompts, skills, MCPs, and agent files to bootstrap stronger repo workflows.

  • Best for: Developers adopting Copilot Agents who want a menu of proven instruction/prompt patterns
  • Works with: GitHub Copilot + repo instruction files; browse sections and copy templates into your repo with review
  • Setup time: 5 minutes

Practical Notes

  • Setup time ~5 minutes (clone + pick one template section)
  • Two measurable checks: 2–3 consecutive prompts follow constraints, and PR diffs show fewer policy violations
  • GitHub stars + forks (verified): see Source & Thanks

Use awesome lists like an internal catalog, not a copy dump:

  • Create a “baseline instruction” for your org, then allow team-specific overlays.
  • Prefer small, testable constraints (file boundaries, forbidden commands, review requirements).
  • Keep examples close to your stack: link to real files and real commands in your repo.

If you combine this with a generator (e.g., generate repo-specific rules, then swap in curated templates), you get both accuracy and breadth.

FAQ

Q: Should I adopt multiple templates at once? A: No. Apply one template, validate behavior, then expand.

Q: How do I judge quality of a template? A: Run the same task twice and see if the agent behaves consistently and safely.

Q: What’s the best long-term setup? A: Baseline + overlays, all reviewed via PRs like code.

🙏

Source et remerciements

Source: https://github.com/Code-and-Sorts/awesome-copilot-agents > License: CC0-1.0 > GitHub stars: 511 · forks: 77

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