agent-protocols
Skill13 starsChanged 4 days agoMITView on GitHub
Implement A2A agents, MCP servers, and ACP editor integrations in Python.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- fmind/dotfilesword for word, first seen Nov 8, 2026
- irahardianto/awesome-agvtheir own version, first seen Oct 14, 2026
- ReaperOAK/ForgeOStheir own version, first seen Jun 8, 2026
- insodimension/awesome-agent-protocolstheir own version, first seen Jun 2, 2026
Other versions4 projects use a version of this.
Word for word · 1
- fmind/dotfiles★ 13100% same
Edited · 0
None found.
Wrote their own version · 3
- irahardianto/awesome-agv★ 157same name
- insodimension/awesome-agent-protocols★ 9same name
- ReaperOAK/ForgeOS★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository67 other files it gives its agents.
- AGENTS.mdAGENTS.md
- dot_agents/AGENTS.mdAGENTS.md
- skills/repository-docs/references/agents.mdAGENTS.md
- chezmoiSkill
- dot-developmentSkill
- dot-releaseSkill
- dot-skillsSkill
- dot-verifySkill
- acliSkill
- agent-evaluationSkill
- agent-frameworksSkill
- agent-harnessesSkill
- agent-projectSkill
- agySkill
- airflowSkill
- auth-statusSkill
- awsSkill
- bfSkill
- chrome-devtoolsSkill
- clipboardSkill
- cloud-runSkill
- code-securitySkill
- colabSkill
- databricksSkill
- diagrams-as-codeSkill
- dockerSkill
- documentation-siteSkill
- dot-cliSkill
- dprintSkill
- draft-docSkill
- draft-mailSkill
- duckdbSkill
- fmind-visualsSkill
- full-reviewSkill
- gcloudSkill
- ghSkill
- git-deliverySkill
- github-actionsSkill
- github-issuesSkill
- github-pull-requestSkill
- github-repositorySkill
- google-developerSkill
- gwsSkill
- hfSkill
- infra-as-codeSkill
- kaggleSkill
- kubernetesSkill
- lesson-learnedSkill
- mcp-setupSkill
- miseSkill
- model-providersSkill
- playwrightSkill
- project-scaffoldingSkill
- python-mlopsSkill
- python-stackSkill
- python-webSkill
- repository-docsSkill
- scheduled-jobsSkill
- skillifySkill
- <name>Skill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
Read only the needed guide: read only the A2A, MCP, or ACP guide needed below.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Agent Protocols
Connect agents and tools through the protocol required by the peers. A2A exchanges agent tasks, MCP exposes tools and context, and ACP connects agent clients such as editors to agents; these protocols are not interchangeable.
Workflow
- Read only the needed guide: read only the A2A, MCP, or ACP guide needed below. Use mcp-setup for registering an existing MCP server in a host; registration is separate from implementing a client or server.
- Vet vendor skills through policy: take vendor skills only from each guide's official-skill guidance, reviewed through the vendor policy and installed project-scoped. A protocol capability named skill is not an installable Agent Skill.
Task guides
<!-- guides:start -->- a2a: A2A clients, servers, Agent Cards, task lifecycle, and official guidance.
- acp: ACP editor-agent sessions, capability negotiation, streamed updates, and permission handling.
- mcp: MCP tool and context clients/servers, transports, schemas, and protocol tests.
<!-- guides:end -->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
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.