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PromptsMay 11, 2026·2 min de lectura

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.

Listo para agents

Este activo puede ser leído e instalado directamente por agents

TokRepo expone un comando CLI universal, contrato de instalación, metadata JSON, plan según adaptador y contenido raw para que los agents evalúen compatibilidad, riesgo y próximos pasos.

Native · 96/100Política: permitir
Superficie agent
Cualquier agent MCP/CLI
Tipo
Knowledge
Instalación
Single
Confianza
Confianza: Community
Entrada
README.md
Comando CLI universal
npx tokrepo install cf2dfc89-8d63-4b7d-8810-9ae8189ce6b4
Introducción

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.

🙏

Fuente y agradecimientos

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

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