By madebynoam
Task management with prioritization coaching — add, list, complete, and coach your way through work
Add tasks to your task stack. Alias for /add-task. Triggers on "/do:add my task" or "/do:add task1 | task2". Use --local for project tasks, default is global.
Prioritization coach that helps decide what to work on next through quick questions about impact, urgency, and effort. Considers long-term goals and maintains session history. Triggers on "/do:coach", "/do:what", "/do:next", or "what should I work on", "help me prioritize".
Help me think through and decompose this problem
Mark a task as complete. Alias for /done-task. Triggers on "/do:done 3" or "/do:done fix bug". Accepts task number or partial text match.
Learned - Quick Journal Entry
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Claude Code plugins for getting things done — task management, session continuity, universal dev commands, and component finding.
In Claude Code, run:
# Add the marketplace
/plugin marketplace add madebynoam/codekit
# Install what you need
/plugin install do@codekit
/plugin install sesh@codekit
/plugin install dev-workflow@codekit
/plugin install find-component@codekit
A task stack with prioritization coaching. Add tasks, check them off, and get help deciding what to work on next.
| Command | What it does |
|---|---|
/do:add fix the header | Add a task (use --local for project-level) |
/do:add task 1 | task 2 | Add multiple tasks at once |
/do:list | Show all pending tasks |
/do:done 3 | Mark task #3 complete |
/do:done fix header | Mark by text match |
/do:coach | Quick prioritization check-in |
/do:coach --deep | Thorough review with goal scoring |
/do:learned git rebase -i #git | Log a learning to Day One |
/do:review week | Review recent learnings |
/do:decompose the problem | Break down a complex problem |
/do:refine-prompt my rough prompt | Improve a prompt using Transformer principles |
The coach reads your ~/.claude/goals.md and tracks decisions in ~/.claude/coach-history.md to spot patterns over time.
Save sessions, pick up where you left off, and reflect on what you learned.
| Command | What it does |
|---|---|
/sesh:save my-feature | Save transcript + summary to ~/Claude Sessions/ |
/sesh:resume | Read project context and show where you left off |
/sesh:reflect | Guided reflection → Day One journal entry |
/sesh:close | Save state, update trackers, show next steps |
/sesh:suggest | Analyze session for reusable command ideas |
Sessions are saved to ~/Claude Sessions/{date}-{name}/ with both a human-readable summary and the raw transcript.
Auto-detecting commands that work in any repository. No configuration needed — they figure out your project type and do the right thing.
| Command | What it does |
|---|---|
/dev:start | Start dev server (detects Next.js, Vite, Rails, Django, etc.) |
/dev:stop | Stop running dev server |
/dev:build | Build project (--clean, --production) |
/dev:lint | Run linters (--fix for auto-fix) |
/dev:test | Run tests (--watch, --coverage) |
/dev:commit | Smart commit — groups changes logically, writes clear messages |
/dev:branch "fix: slider bug" | Create properly named branch from trunk |
/dev:rebase | Safely rebase with trunk (handles stash, conflicts, push) |
/dev:pr | Create draft PR (problem-first, no AI attribution) |
/dev:pr-respond #123 | Draft response to PR review comments |
/dev:worktrees | List git worktrees and branch status |
/dev:bugfix-check | Pre-commit checklist for bug fixes |
Supported project types: Node.js, Python, Ruby, Go, Rust, PHP, Java, and anything with a Makefile or docker-compose.yml.
Find where UI components live in a codebase from screenshots, routes, or names.
| Command | What it does |
|---|---|
/find ~/Desktop/screenshot.png | Find code from a screenshot |
/find settings/profile | Find components for a route |
/find UserCard | Find component definition and usage |
Works with React, Vue, Angular, and other component-based frameworks. Returns the main component file, styles, types, tests, hooks, sub-components, and Storybook stories.
/plugin marketplace add madebynoam/codekit
Then install individual plugins — you don't have to install everything:
/plugin install dev-workflow@codekit # Just the dev commands
/plugin install do@codekit # Just task management
git clone https://github.com/madebynoam/codekit.git
cp -r codekit/plugins/dev-workflow/commands/* ~/.claude/commands/
cp -r codekit/plugins/do/skills/* ~/.claude/skills/
cp -r codekit/plugins/do/commands/* ~/.claude/commands/
# etc.
do:learned, do:review, and sesh:reflect write to a Day One journal via MCP. These commands still work without Day One — they'll just skip the journaling part.gh) — dev:pr and dev:pr-respond use gh to create PRs and fetch comments.These started as personal tools built from real daily work — navigating large codebases, keeping track of tasks across sessions, and avoiding the "where was I?" problem every morning.
Three principles:
npx claudepluginhub madebynoam/codekit --plugin doBryllen — design studio on an infinite canvas with live React code
Design skills for Claude Code - JTBD framing, UI copy, component finding, and pattern mining for designers who work in code.
Session continuity — save transcripts, resume where you left off, reflect on learnings, and close cleanly
Find UI components from screenshots, routes, or names — for designers navigating codebases
Universal dev commands — auto-detecting start, build, lint, test, commit, branch, rebase, and PR creation
Commands, agents, skills, and context for AI-assisted development workflows
Commands for automating repetitive tasks and workflows
Hand off context to any AI coding agent. Creates comprehensive handoff documents that capture the current task, progress, modified files, and all relevant context needed to seamlessly continue work in any AI assistant (Claude Code, Cursor, Copilot, Aider, etc.).
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.