By dha201
Phase-aware autonomous engineering loop combining Ralph Loop persistence with Compound Engineering workflows. JSON state for crash recovery, re-anchoring to prevent drift, receipt-based gating, and structured phase transitions (brainstorm → plan → work → review → fix → compound → test → ship).
Start a phase-aware autonomous engineering loop (brainstorm → plan → spec_test → deepen → work → review → fix → compound → test → ship)
Cancel the active autonomous loop
Show current status of the active autonomous loop
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Sign in to claimArchitecture documentation, technical debrief outlines, and human writing style. Generates C4 diagrams, component analysis, presentation outlines for stakeholders, and applies natural writing techniques to strip AI patterns from content.
Phase-aware autonomous engineering loop combining Ralph Loop persistence with Compound Engineering workflows. JSON state for crash recovery, re-anchoring to prevent drift, receipt-based gating, and structured phase transitions (brainstorm → plan → work → review → fix → compound → test → ship).
npx claudepluginhub dha201/autonomous-loop---skillThe Loop Engine — harness and loop engineering plugin for Claude Code. Router-kernel orchestration, workflow artifacts, sub-agent delegation, hook enforcement, Test Honesty Gates, fresh-context verification, and memory that persists. 73% leaner than v11, zero quality regression.
Run and operate autoloops — start runs, monitor progress, inject guidance, manage worktrees, inspect artifacts, and clean up.
Interactive self-referential AI loops for iterative development. Claude works on the same task repeatedly, seeing its previous work, until completion.
Build loop engineers: a file-based knowledge base your agents read/write (loops), plus a codebase harness (dev-local stack, e2e gate, an isolated cloud box per agent via crabbox, and verify-before-ship) so loops can run, test, and ship code autonomously.
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review