distributed-systems
Skill0 starsChanged 4 months agoNo licenceView on GitHub
AI-assisted distributed systems verification with TLA+ formal specification. Use when verifying distributed system correctness, discovering race conditions, writing TLA+ specifications from codebases, performing model checking on consensus/replication protocols, or setting up Lamport Agent workflows. Triggers on: "verify distributed system", "formal verification", "TLA+ spec", "model checking", "find race condition", "prove correctness", "CRAQ", "Paxos verification", "Raft verification", "chain replication verification", "distributed consensus verification".
5 other projects use a version of this.
Adopted by
Most recently taken up by
- base58ed/claude_code_filestheir own version, first seen Oct 20, 2026
- bjornjee/skillstheir own version, first seen Sep 8, 2026
- ctxswitch/skillstheir own version, first seen Sep 7, 2026
- 2867203296/hermes-agenttheir own version, first seen Aug 19, 2026
- ffsshhttiikk/opencode-agents-skillstheir own version, first seen Feb 28, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- bjornjee/skills★ 2same name
- ffsshhttiikk/opencode-agents-skills★ 2same name
- base58ed/claude_code_files★ 1same name
- ctxswitch/skills★ 1same name
- 2867203296/hermes-agent★ 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 repository89 other files it gives its agents.
- vercel-react-best-practices/AGENTS.mdAGENTS.md
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 4 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.
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
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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.