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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

Instalación lista para agent

Este activo puede instalarse después de elegir el runtime, revisar el plan y ejecutar el comando correspondiente.

Native · 96/100Política: permitir
Superficie agent
Cualquier agent MCP/CLI
Tipo
Prompt
Instalación
Single
Confianza
Confianza: Community
Entrada
Asset
Comando de instalación directa
npx -y tokrepo@latest install cf2dfc89-8d63-4b7d-8810-9ae8189ce6b4 --target codex

Ejecutar después de confirmar el plan con dry-run.

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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