loop-engineering

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Use when a repeatable task must become a bounded Trigger -> Execute -> Verify -> State loop, scheduled automation, goal agent, or metric-driven research cycle.

AI & Automation 124 stars 18 forks Updated 3 days ago MIT

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Skill Content

# Loop Engineering <skill_contract> <input>A repeatable task with inspectable state, finite budgets, permissions, and an independent verifier.</input> <output>A validated Trigger -> Execute -> Verify -> State contract plus resumable run receipts.</output> <done>The declared metric or stop condition is supported by fresh validator and verifier evidence.</done> <non_goals>Dependency-graph orchestration, unbounded autonomy, or self-certified completion.</non_goals> Build loops only when repeated execution creates evidence. Every loop needs admission, a validated contract, durable state, independent evaluation, bounded retries, stop/recovery rules, and a final receipt. ## Usage Template Provide: objective, trigger, scope/non-goals, inputs, state/artifact paths, metric, verifier, permissions, budgets, stop condition, recovery, and write-back. See `references/ci-repair-loop-example.md` for a worked contract. ## Workflow <intake> Select one mode: - **Goal:** run until a defined end state or cap. - **Loop:** poll/iterate while eligible work exists. - **Automation:** start from an external schedule/event; the trigger is not execution evidence. - **AutoResearch:** vary experiments against an objective metric in a sandbox. Admit only if work is repeatable, outputs are inspectable, a verifier exists, failures are recoverable, and autonomy is worth the orchestration/review cost. Otherwise use a one-shot workflow. Use `graph-engineering` instead when explicit data depende...

Details

Author
Mark393295827
Repository
Mark393295827/third-brain-v7-skills
Created
2 months ago
Last Updated
3 days ago
Language
HTML
License
MIT

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