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Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
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Based on SOC occupation classification
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more.
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
Project-specific skill template covering architecture, patterns, testing, and deployment guidance.
| name | continuous-agent-loop |
| description | Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. |
| metadata | {"origin":"ECC"} |
This is the v1.8+ canonical loop skill name. It supersedes autonomous-loops while keeping compatibility for one release.
Start
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+-- Need strict CI/PR control? -- yes --> continuous-pr
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+-- Need RFC decomposition? -- yes --> rfc-dag
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+-- Need exploratory parallel generation? -- yes --> infinite
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+-- default --> sequential
Recommended production stack:
ralphinho-rfc-pipeline)plankton-code-quality + /quality-gate)eval-harness)nanoclaw-repl)/harness-audit