Unit Work plugin marketplace - tools for structured AI development
npx claudepluginhub ryan-relevanceai/unitworkTools for structured AI development. 15 agents, 16 commands, 2 skills, 1 MCP server.
ryan-relevanceaiA Claude Code plugin with tools for structured AI development. Use them together as a workflow, or pick individual tools as needed.
/plugin marketplace add ryan-relevanceai/unitwork
/plugin install unitwork@ryan-relevanceai-unitwork
AI completes features 70-80% correctly. Reviewing massive diffs to find the remaining 20% is painful. Unit Work addresses this by:
These tools work independently. Know what to build? Skip the plan, use vanilla Claude Code, then run /uw:review and /uw:pr. Want the full structured workflow? Go /uw:plan → /uw:work → /uw:review → /uw:pr.
| Command | Description |
|---|---|
/uw:plan | Interview-driven planning. Explores codebase, clarifies requirements, creates spec with implementation units. Takes ~15min — skip if you know what to build. |
/uw:work | Implements a spec with checkpoints at verifiable boundaries. Each checkpoint is a commit with a verification document and confidence score. |
| Command | Description |
|---|---|
/uw:review | Spawns 7 parallel review agents (type-safety, patterns, performance, architecture, security, simplicity, memory-validation). Verifies findings before presenting. Fixes P1 issues automatically. |
/uw:pr | Creates or updates GitHub PRs with AI-generated descriptions. |
/uw:compound | Extracts learnings from the implementation journey and stores them for future sessions. Auto-triggered after /uw:review. |
| Command | Description |
|---|---|
/uw:fix-ci | Autonomously fixes failing CI. Cycles through analyze → fix → commit → push → verify until CI passes (max 5 cycles). |
/uw:fix-conflicts | Intelligent rebase conflict resolution. Spawns intent + impact analysis agents, auto-resolves high-confidence conflicts, interviews you for ambiguous ones. |
/uw:action-comments | Bulk resolves GitHub PR review comments with checkpoint-based verification. |
| Command | Description |
|---|---|
/uw:investigate | Read-only codebase investigation. Runs tests and temp scripts to verify hypotheses without modifying production code. |
/uw:test-plan | Generates manual testing steps from git diffs. Analyzes frontend + backend changes and produces one continuous end-to-end test plan. |
/uw:browser-test | Browser automation via agent-browser for UI verification, form filling, screenshots, and scraping. |
/uw:momentic | Run, create, debug, or upload Momentic E2E tests with video recording. |
| Command | Description |
|---|---|
/uw:park | Parks current work session to a GitHub PR comment for multi-device handoff. |
/uw:resume | Resumes a parked work session by reading PR parking comments and local artifacts. |
/uw:harvest | Scrapes merged PR review comments from GitHub repos, synthesizes insights, and stores them for future sessions. |
/uw:bootstrap | First-time setup: configure Hindsight memory bank and explore codebase. Only needed if using Hindsight. |
15 specialized agents spawned by commands — you don't invoke these directly.
| Category | Agents | Used By |
|---|---|---|
| Review (7) | type-safety, patterns-utilities, performance-database, architecture, security, simplicity, memory-validation | /uw:review |
| Plan Review (3) | gap-detector, feasibility-validator, utility-pattern-auditor | /uw:plan |
| Verification (2) | test-runner, api-prober | /uw:work, /uw:fix-ci |
| Conflict Resolution (2) | conflict-intent-analyst, conflict-impact-explorer | /uw:fix-conflicts |
| Exploration (1) | memory-aware-explore | /uw:plan, /uw:bootstrap |
Context7 — Retrieves up-to-date library documentation and code examples. Used during planning and implementation to research framework patterns.
Hindsight gives the plugin persistent memory across sessions. Commands recall past learnings before starting and retain new discoveries when done. Without it, the plugin works fine — you just won't get cross-session memory.
Add to your shell profile (~/.zshrc or ~/.bashrc):
export HINDSIGHT_API_LLM_PROVIDER=openai
export HINDSIGHT_API_LLM_BASE_URL=https://openrouter.ai/api/v1
export HINDSIGHT_API_LLM_API_KEY=<your-openrouter-key>
export HINDSIGHT_API_LLM_MODEL=google/gemini-3-flash-preview
Start the container (runs in the background):
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