loop-architect
FeaturedDesign well-structured agent loops with best-practice coaching and cross-model review gates before you run them. Use when the user wants to design, build, or set up an agent loop, iterative agent workflow, self-review loop, LLM-as-judge loop, multi-model council, reviewer/judge gate, or goal-driven looping process. Guides goal refinement, typed verification criteria, reviewer/judge selection, privacy boundaries, termination guards, and observability, then emits a RUN_IN_SESSION.md handoff prompt plus portable loop.yaml, loop.resolved.json, LOOP.md, and run-loop.py.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- fabricioctelles
- Repository
- fabricioctelles/skills
- Created
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Similar Skills
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loop-system-architect
Design, audit, repair, and operationalize reliable agent loops with explicit goals, triggers, persistent state, orchestration, independent verification, failure recovery, open skill discovery or creation, experience distillation, controlled self-improvement, and retirement conditions. Use when the user asks to build a loop, autonomous or recurring agent workflow, multi-agent operating system, self-improving process, knowledge/experience distillation pipeline, zero-context recovery flow, permanent update/replacement loop, or to turn a prose plan or repeated prompt into a genuinely executable loop.
loop-engineer
Designs and implements autonomous agent loops for any task. Trigger when the user wants to stop manually prompting agents and build a self-running feedback cycle — coding automation, research pipelines, content workflows, CI loops, or any repeating AI-driven process. Also trigger for "design a loop", "build an agent loop", "I want this to run automatically", or when describing a workflow currently driven manually. Output: complete loop spec plus working implementation.