deep-loop-workflows

deep-loop-workflows is a Workflow routing & gates skill for AI agents, published by MichelKerkmeester in the opencode--skilled-agent-loops-with-spec-kit-memory repository on GitHub. Skillspace rates deep-loop-workflows B (87/100) and it passed the safety scan; the rating is based on static analysis only.

Unified deep-loop workflow skill: routes a request to one of five modes (context, research, review, ai-council, improvement) over the shared deep-loop-runtime backend. Holds no per-mode logic — it dispatches by workflowMode through mode-registry.json. Use for codebase-context gathering, autonomous research, iterative code review, multi-seat AI Council planning, and evaluator-first agent/model/skill/non-dev-system improvement.

Grade
B
Quality
87 / 100
Safety
Passed
GitHub stars
28

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubMichelKerkmeester/opencode--skilled-agent-loops-with-spec-kit-memory

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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