loop-engineering
/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.
- Author
- JZKK720 ↗
- Repository
- cubecloud-skills-bundle-kit ↗
- Licence
- MIT
- Last repository change
- 12.10.2026
Assessment and security
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- 1
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- 0
- URLs in SKILL.md
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No signals detected. Repository changed on 12.10.2026, without references to retired models or APIs.
MIT, open: use and modify while retaining author attribution.
What it does and when to use it
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.
Original author description
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.
How it works
- When to use
- Core concepts
- MCP integration
- Related skills
SKILL.md preview
--- name: loop-engineering description: 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 Engineering Build and operate the infrastructure that runs autonomous agent loops — the mechanism layer that schedules, monitors, scores, and recovers loops. This is the engineering counterpart to loopy (which designs loop content and boundaries). ## When to use - Building a new autonomous agent loop from scratch - Adding scheduling, monitoring, or recovery to an existing loop - Auditing loop infrastructure for reliability gaps - Setting up loop governance (rate limits, budgets, approval gates) - Debugging a loop that stalls, spins, or silently fails ## Core concepts ### Loop anatomy Every loop has: - **Trigger**: What starts it (cron, webhook, event, manual) - **Body**: The work it does (triage → act → verify) - **Gate**: What stops it (budget, time, approval, success signal) - **Recovery**: What happens on failure (retry, escalate, pause, alert) ### Loop health scoring Score loops on: - **Completion rate**: % of runs that reach a terminal state - **Budget adherence**: % of runs within token/cost budget - **Action rate**: % of runs that produce a meaningful action (not just "no-op") - **Recovery rate**: % of failures that self-recover without human intervention ### Governance patterns - **Budget caps**: Hard limits on tokens, cost, or wall-clock time per run - **Approval gates**: Human-in-the-loop for high-impact actions - **Rate limits**: Max runs per hour/day, cooldown between runs - **Audit trail**: Every run logs its trigger, actions, and outcome ## MCP integration The loop-engineering MCP server (`@cobusgreyling/loop-mcp-server`) provides: - Loop scaffolding and templating - Health scoring and monitoring - Cron-based scheduling - Governance policy enforcement Start the MCP server via `npx @cobusgreyling/loop-mcp-server` (stdio transport). ## Related skills - **loopy**: Loop content design, discovery, and publication - **loop-triage**: Triage recent changes for loop consumption - **loop-constraints**: Enforce binding constraints before loop runs - **loop-verifier**: Independent verification of loop-produced changes - **loop-budget**: Token budget enforcement for loop runs - **minimal-fix**: Produce smallest possible fix for loop-identified issues - **continuous-agent-loop**: Patterns for long-running autonomous loops - **autonomous-loops**: Architecture patterns for multi-agent loop systems
Versions
| Repository | Score | Licence |
|---|---|---|
| This page · JZKK720/cubecloud-skills-bundle-kit | 90 | MIT |
| dwarvesf/dwarves-kit | 100 | MIT |
| huytieu/cog-second-brain | 100 | MIT |
| jggomez/expert-ai-developer-skills | 100 | Apache-2.0 |
| jggomez/expert-ai-developer-skills | 100 | Apache-2.0 |
| bojieli/ai-agent-book | 100 | Apache-2.0 |
| Mark393295827/third-brain-v7-skills | 100 | MIT |
| alvinunreal/oh-my-opencode-slim | 90 | MIT |
| telagod/code-abyss | 85 | MIT |
Database snapshot: 13.11.2026 · package version de5093ff3263 (SHA-256 digest of the entire package)
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