dev-loop
claudeDevelopment lifecycle outer loop: brainstorm → TDD planning → ralph → review → feedback loop
4 commands
Core skills for workers.do platform development
Plugin workers-do from marketplace workers-do-marketplace in dot-do/workers. Commands read from the repo's manifest — 1 month ago.
beadsTrack work with beads issue tracker using TDD workflow. Create issues for RED (failing tests), GREEN (implementation), and REFACTOR phases.
brainstormingYou MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
code-reviewComprehensive parallel code review using 5 specialized subagents: general, architectural, TypeScript, product/vision, and TDD/beads compliance
development-loopComplete development lifecycle: brainstorm → TDD planning → ralph implementation → review → feedback loop until approved
test-driven-developmentUse when implementing any feature or bugfix, before writing implementation code
/workers-do:beadsTrack work with beads issue tracker using TDD workflow (RED/GREEN/REFACTOR phases)
/workers-do:brainstormUse before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores requirements and design before implementation.
/workers-do:reviewComprehensive parallel code review with 5 specialized agents (general, architectural, TypeScript, product/vision, TDD/beads)
/workers-do:tddUse when implementing any feature or bugfix. Enforces RED-GREEN-REFACTOR cycle.
READMEcode-reviewerSpecialized code review agent for parallel review dispatch
Development lifecycle outer loop: brainstorm → TDD planning → ralph → review → feedback loop
4 commands
Continuous self-referential AI loops implementing the Ralph Wiggum technique
3 commands · hooks
AI-powered codebase understanding — analyze, visualize, and explain any project
9 skills · 10 agents · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Rewrite AI-sounding text so it reads like the writer without changing what it says.
1 skill
AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.
3 skills · 6 commands · 1 MCP server · hooks
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
2 commands
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
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