orbit
SolidRunning autonomous loops for nexus-autoloop. Generates script sets from goals, designs operation contracts, audits live loops, and recovers state — runners that complete reliably.
Install
Quality Score: 84/100
Skill Content
Details
- Author
- simota
- Repository
- simota/agent-skills
- Created
- 8 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
loop-engineering
Design, scaffold, score, schedule, and govern autonomous agent loops. Use when building loop infrastructure — the mechanism layer that runs, monitors, and recovers agent loops. Complements loopy (loop content/design) with loop execution infrastructure. Covers loop scaffolding, health scoring, cron scheduling, governance policies, and failure recovery patterns.
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-library
Catalog of repeatable agent-loop workflows (goal -> iterate w/ verification -> stopping condition -> output). Each loop is a reusable SOP for autonomous iterative work with quality gates. Run via /loop (self-paced or interval), a loop-until-done runner, a fan-out orchestrator, or manually.