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awesome-agent-conventions

Skill Setup & Config Usable
Works inClaude Code
Usable Scanned — metadata only

Standardized agent conventions reduce integration friction and miscommunication between teams deploying AI agents.

A curated guide to convention files AI agents read, write, and act on: AGENTS.md, CLAUDE.md, SKILL.md, llms.txt, MCP configs, rules, and examples.

28 starsMIT (commercial OK)Free
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Standardized agent conventions reduce integration friction and miscommunication between teams deploying AI agents. Clear, documented conventions accelerate onboarding and ensure consistent behavior across distributed AI systems.

Platform teams and AI ops engineers establishing governance frameworks for multi-agent deployments.

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https://github.com/ItamarZand88/awesome-agent-conventions

By ItamarZand88

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install ItamarZand88/awesome-agent-conventions

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me generate standardized AGENTS.md files to define agent behaviors and capabilities consistently
CostFree

Trust Signals Auto-scanned

Stars28Contributors1Last updated2026-07-23LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 28 GitHub stars; 1 contributors; last commit 2d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
  • Single maintainer. Consider the risk if this person stops maintaining the project.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
4/5
Overall score2.90 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 28 GitHub stars; 1 contributors; last commit 2d ago; license MIT.

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