By chrsmay
Spec-driven development engine. Plan, execute, verify workflow with persistent project memory, code quality scanning, and multi-artifact epic management.
API documentation researcher and implementation advisor. Use when working on API routes, integrating third-party APIs, or implementing SDK methods. Reads official docs via Context7 and web sources before ANY implementation begins. Validates API usage patterns, checks for deprecated methods, and ensures correct HTTP semantics. Never writes production code — only returns implementation guidance.
Epic orchestrator agent. Uses knowledge graph and impact analysis to maintain the global worldview across specs, tickets, and execution history. Determines task ordering, detects drift, recommends spec updates. Never writes code.
Read-only codebase research and implementation plan generation. Uses knowledge graph, LSP, and blast radius analysis. Enforces constitution, flags ambiguities with [NEEDS CLARIFICATION] markers, uses EARS notation for requirements. Never writes code.
Verification agent that checks implementation against specs and plans. Uses knowledge graph for impact analysis, runs build/test/lint, checks spec compliance, SOLID principles, and hard limits. Also handles code review and quality scanning. Read-only — reports but never fixes.
Use when checking for stale artifacts, spec-code divergence, missing requirements, inconsistencies between specs and implementation, or cross-artifact conflicts. Detects drift, staleness, and gaps across all codebrain artifacts.
Use for fire-and-forget execution via Remote Control. Wraps YOLO mode with Remote Control session bridging, pre-flight checks, phone-readable pause summaries, and completion reports. Start a task at your desk, monitor and approve from your phone. Inspired by Stripe's Minions fire-and-forget pattern.
Browser-based verification of UI changes. Checks that pages load, elements render correctly, no console errors. Triggers after dev server start or accumulated UI file changes. Use when visual verification is needed — blank pages, broken layouts, missing elements.
Use when something is broken, failing, hanging, erroring, or behaving unexpectedly. Systematic debugging workflow: reproduce → isolate → hypothesize → fix → verify. Prevents guessing and shotgun fixes. Also triggers on frustration signals like 'why isn't this working', 'it's broken', 'stuck'.
Deployment orchestration and environment management. Handles deploy commands, env vars, CI/CD pipelines, promote/rollback procedures. Platform-agnostic: supports Vercel, Docker, Fly.io, Railway, and custom CI/CD. Use when deploying, setting up pipelines, or managing environments.
Admin access level
Server config contains admin-level keywords
Executes bash commands
Hook triggers when Bash tool is used
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Modifies files
Hook triggers on file write and edit operations
Modifies files
Hook triggers on file write and edit operations
External network access
Connects to servers outside your machine
External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
Spec-driven development engine that replaces Traycer AI. Complete lifecycle from idea to shipped product with persistent project memory, code quality enforcement, and multi-agent orchestration.
[NEEDS CLARIFICATION] markers, [SPEC_DEVIATION] detection, task recitation, fresh context per task, circuit breakers# Clone anywhere on your machine
git clone https://github.com/chrsmay/codebrain-plugin.git ~/codebrain-plugin
# Build the MCP server
cd ~/codebrain-plugin/mcp-server && npm install && npm run build
# Register the plugin with Claude Code
claude plugin add ~/codebrain-plugin
# Restart Claude Code — plugin auto-discovers
/codebrain:memory reset
This scaffolds .codebrain/, auto-detects your project stack, generates a constitution, and creates initial memory files.
/codebrain:discover → Is this worth building?
/codebrain:prd → What exactly are we building?
/codebrain:map-journeys → What are ALL the user paths?
/codebrain:design → UI mockups (Pencil.dev)
/codebrain:epic create → Tech specs + tickets (syncs to Linear)
/codebrain:plan → Implementation plan for each ticket
/codebrain:yolo → Automated plan→implement→verify→commit
/codebrain:autopilot → Fire-and-forget via Remote Control
/codebrain:verify → Spec compliance check
/codebrain:review → Agentic code review
/codebrain:quality → Dead code, stubs, duplicates scan
/codebrain:debug → Systematic debugging
/codebrain:investigate → Deep multi-system investigation
/codebrain:observe → Orchestrated debugging coordinator
/codebrain:refactor → Safe restructuring
/codebrain:analyze → Cross-artifact consistency check
/codebrain:deploy → Deployment orchestration
/codebrain:browser-verify → Visual UI verification
/codebrain:launch → Pre-launch checklist + rollout plan
/codebrain:retro → Retrospective + next iteration
MIT
npx claudepluginhub chrsmay/codebrain-plugin --plugin codebrainAutonomous spec-driven development workflow with multi-agent collaboration, specification management, and task orchestration
Structured project planning and execution through brainstorm, spec, and build phases across three execution tiers: sequential, delegated sub-agents, and full agent teams
Skills-first specification-driven development framework with 7 agent skills for planning, implementation, review, and shipping. Natural language activation with intelligent agent orchestration. Includes /plan, /implement, /research commands plus managing-specifications, implementing-features, and reviewing-and-shipping skills.
Comprehensive AI-assisted development workflow system with specialized agents, orchestrated commands, and file-based state management
Spec-driven development workflow system with structured phases: Requirements → Design → Tasks → Implementation
Spec-driven development using GitHub spec-kit methodology. Constitution-first approach with specify, plan, tasks, and implement phases.