loop-engineering
Skill0 starsChanged 17 days agoNo licenceView on GitHub
設計を実装前に機械検査する入口(ループエンジニアリング)。要求を EARS と状態モデルへ構造化して TLA+ で網羅検査し、反例を Gherkin に落とす。状態を持たない判定は Z3 の SMT 経路、実装後は実ログと spec の突き合わせへ振り分ける。「TLA+」「EARS」「Gherkin」「設計を検証」「状態機械を検査」「Z3」「SMT」「設定の矛盾」と言われたとき、並行・状態遷移・プロトコルや判定ロジックの正しさを実装前に固めたいときに使う。実装の証明は formal-verification。
33 other projects use a version of this.
Adopted by
Most recently taken up by
- vpeetla-ai/venkat-ai-platformtheir own version, first seen Nov 8, 2026
- Mark393295827/graph-engineering-architecturestheir own version, first seen Nov 8, 2026
- victor-hac-work/loop-engineering-skillstheir own version, first seen Nov 8, 2026
- jggomez/expert-ai-developer-skillstheir own version, first seen Nov 6, 2026
- vpeetla-ai/swarm-agent-patterntheir own version, first seen Oct 20, 2026
- axross/skillstheir own version, first seen Oct 13, 2026
Used with
Projects with it also use aegis-gateway, deploy-vercel-render and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
vpeetla-aiSkillaegis-gateway
Integrate AegisAI gateway before tool side effects (notify, publish, deploy). Use when adding Slack/Telegram/WhatsApp notify, content publish, or any irreversible external action in VAP, AegisLoop, or ai-content-factory.
Also in 6 projects that use this
vpeetla-aiSkilldeploy-vercel-render
Deploy vpeetla-ai demos: Vercel static/Next.js frontends, Render FastAPI backends, env vars, free tier gotchas. Use when shipping demos, fixing deploy failures, or adding render.yaml / vercel.json.
Also in 6 projects that use this
HermeticOrmusSkilllanggraph-orchestration
LangGraph stateful multi-agent graphs with categorical coordination patterns and cyclic workflows. Use when building stateful AI agent systems, implementing multi-agent orchestration with conditional routing, creating cyclic workflows with persistence, or designing graph-based AI pipelines with checkpointing and human-in-the-loop patterns.
Also in 6 projects that use this
junimnjwSkillagentic-engineering
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
Also in 7 projects that use this
- +8 more from vpeetla-ai
Other versions33 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 33
- bojieli/ai-agent-book-projects★ 53ksame name
- bojieli/ai-agent-book★ 53ksame name
- huytieu/COG-second-brain★ 1.3ksame name
- akitaonrails/my-skills★ 283same name
- jggomez/expert-ai-developer-skills★ 31same name
- aiconnai/agentshield★ 21same name
- sxivansx/loop-engineering★ 10same name
- victor-hac-work/loop-engineering-skills★ 5same name
- Mark393295827/graph-engineering-architectures★ 4same name
- aiconnai/engram★ 3same name
23 more not listed
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 repository63 other files it gives its agents.
- ai-nondeterministicSkill
- blackbox-cause-effectSkill
- blackbox-coveringSkill
- blackbox-partitionSkill
- blackbox-stateSkill
- commit-flowSkill
- diff-reviewSkill
- experience-checklistSkill
- experience-exploratorySkill
- experience-scenarioSkill
- flakiness-concurrencySkill
- flakiness-externalSkill
- flakiness-valueSkill
- formal-verificationSkill
- generative-fuzzingSkill
- generative-propertySkill
- gh-ci-investigateSkill
- good-test-principlesSkill
- ledger-flowSkill
- levels-operationalSkill
- levels-serviceSkill
- levelsSkill
- levels-systemSkill
- loopeng-extractSkill
- loopeng-formalizeSkill
- loopeng-gherkinSkill
- loopeng-modelcheckSkill
- loopeng-smtSkill
- loopeng-tracecheckSkill
- micro-commitSkill
- mutation-testingSkill
- nonfunctional-attributesSkill
- nonfunctional-perfSkill
- nonfunctional-resilienceSkill
- oracle-differentialSkill
- oracle-model-basedSkill
- oracle-past-outputSkill
- oracle-relationalSkill
- pr-createSkill
- process-staticSkill
- rebase-flowSkill
- reset-flowSkill
- review-feedbackSkill
- strategy-allocationSkill
- strategy-operationsSkill
- tdd-cycleSkill
- tdd-green-strategySkill
- test-catalogSkill
- test-design-qualitySkill
- test-designSkill
- test-doublesSkill
- test-extractSkill
- testing-principlesSkill
- test-structure-anatomySkill
- test-structure-lifecycleSkill
- test-target-designSkill
- test-targetedSkill
- test-verifySkill
- using-hymmeSkill
- verifiabilitySkill
- The first 60 shown.
The file
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.

