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Automates the full software development lifecycle using a multi-agent system: plan projects, implement features, fix bugs, review code, run tests, manage git worktrees, and enforce quality gates — all through slash commands and autonomous agent teams.
npx claudepluginhub michael-harris/devteam --plugin devteamSlash commands for the DevTeam multi-agent development system.
**Command:** `/devteam:bug "<description>" [options]`
**Command:** `/devteam:config [action] [key] [value]`
**Command:** `/devteam:design-drift [scope] [options]`
**Command:** `/devteam:design [target] [options]`
WCAG compliance, accessibility auditing, and inclusive design
VoiceOver, TalkBack, and mobile accessibility auditing
High-level system architecture and design decisions
Reviews API designs for consistency, usability, security, and best practices
Designs RESTful API specifications with OpenAPI
**Debug/Expert Command** - Manually clean up development track worktrees.
List all git worktrees with development track information. Debug/Expert command for worktree diagnostics.
Show detailed status of all development track worktrees. Debug/Expert command for worktree diagnostics.
Current session: !`source "${CLAUDE_PLUGIN_ROOT}/scripts/state.sh" && get_current_session 2>/dev/null || echo "No active session"`
Current session: !`source "${CLAUDE_PLUGIN_ROOT}/scripts/state.sh" && get_current_session 2>/dev/null || echo "No active session"`
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Persona-driven AI development team: orchestrator, team agents, review agents, skills, slash commands, and advisory hooks for Claude Code
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
Long-running agent harness with 5-layer memory architecture, GitHub integration, autonomous batch processing, Agent Teams with ATDD, 9 hooks (safety, quality gates, team coordination), and 6 Agent Skills
Self-orchestrating multi-agent development system — 8 specialized AI agents, parallel quality gates, and automated workflows. You say WHAT, the AI decides HOW.
Virtual development team: TDD, debugging, code review, backlog management, and proven workflow patterns
49 specialist skills + 39 slash commands for coding agents — orchestrator, backend, frontend, QA, security, deploy, detective-spec, static-analysis, skill-author, program-router, parallel-dispatcher, blog-publisher, blog-screenshot, canary-deployment, zoom-out, handoff-context, post-deploy-canary-monitor, pattern-conformity, research-prep, context-budget + spec-driven development, anti-AI writing, memory consolidation, executable YAML pipelines + insights dashboard (v2.18.0, 6 tabs). v2.34.0: vault de memoria UNIFICADO ao kit — instalar o kit agora CRIA o vault automaticamente (scripts/init-vault.mjs roda no install.sh: cria estrutura logs/architecture/secrets, CLAUDE.md com as regras de escrita, .gitignore protegendo secrets/, git init). Path PORTAVEL via scripts/vault-resolver.mjs: $CLAUDE_MEMORY_VAULT → ~/.claude-memory (novo padrao, vale Windows/Mac/Linux) → D:/claude-memory (legado). Antes o vault era montado a mao e o path hardcoded; agora kit+memoria sao uma coisa so. Idempotente (nao sobrescreve vault existente). v2.33.0: absorcao obsidian-second-brain (memoria AI-first) — policy memory-write-rules.md aplica anti-fabricacao ao VAULT (false-absence: busque exaustivamente antes de afirmar que nao existe nota/decisao — o failure mode mais comum; no-fabrication: TBD para desconhecido; recency markers '(as of YYYY-MM, fonte)' em claims externos; niveis de confianca) + convencao 'For future Claude' (preambulo de 2-3 linhas que o futuro-Claude le em 10s pra decidir relevancia, no skill 31 session-summary) + comando /reconcile-memory (detecta contradicoes no vault — decisoes revertidas/superadas nunca atualizadas — e resolve: mais novo+autoritativo vence com secao ## History, ambiguo vira flag, evolucao marca superseded). v2.32.0: pre-build-gate (UserPromptSubmit hook) leva o 'pare e decida antes de codar' de cada disciplina (que o /auto tem nas fases) para o MODO PASSIVO — detecta intencao de criacao no prompt e injeta o checklist da disciplina certa: acceptance-criteria (defina done antes de implementar), api-contract (formato de erro + status codes antes da 1a rota), schema-integrity (constraints/FK/indices antes do 1o INSERT), ui-design (ancora estetica antes de estilizar), deploy-readiness (healthcheck/env/graceful-shutdown). 4 novas rules path-scoped por disciplina (rules/backend/, rules/database/, rules/frontend/, rules/common/acceptance-criteria.md). v2.31.0: design-aware /auto — fase UI-DESIGN como gate (PLAN→[UI-DESIGN]→BUILD) que invoca skill 02-ui-ux-design e bloqueia build de arquivo visual ate a ancora estetica estar escolhida; rules/frontend/ui-design.md (path-scoped em .css/.tsx/public) proibe o default generico (#4f46e5 indigo + system-ui), forca escolher 1 ancora; coverage config virou gate HARD no /auto; scope inference (app→fullstack) movido pra rules/common para o modo passivo herdar. Validado por bench A/B real (bench/ab/, 3 rounds) que expos UI generica nos 3 bracos. v2.29.0: claim-verifier (PostToolUse — detecta afirmacoes sem evidencia: 'email enviado', 'deploy OK', 'teste passou'; passa livre se ha exit code 0/HTTP 200/query result) + context-turn-counter (UserPromptSubmit — compact a cada 25 turnos, handoff inteligente a cada 50 usando vault de memoria). v2.28.0: /spec-kit (SDD pipeline unificado specify→plan→tasks→implement + Adversarial Verifier inline), /insights (recomendacoes baseadas em telemetria dos hooks), /swarm com Phase 3 Adversarial Verify (Implementor vs Verifier com goals opostos, spec atualizada em real-time). v2.27.0: investigate-first guard (hook PreToolUse que impede a IA de perguntar o auto-descobrivel — gh user, branch, package manager, porta, versao de runtime — manda investigar primeiro) + policy investigate-first. v2.26.0: silent-failure-hunter (16o subagent, review-only: caca catch{} vazio, swallowed errors, fallbacks perigosos, stack traces perdidos, rollback faltando) + skill 49 context-budget (audita peso de contexto carregado por componente) + /context-budget. v2.25.0: rules system path-scoped (`.claude/rules/` com `paths:` glob, inspirado no ECC), bug-fix da allowlist de subagents, 5 skills stub reescritos com profundidade. v2.24.0: curador AUTONOMO de memoria (inspirado no Hermes Agent) — roda async no SessionStart, faz decay/archive/dedup em JS puro sem gastar LLM e delega so a parte semantica ao agente presente. v2.23.0: absorcao addozhang (skill 48 research-prep, Spring Boot playbook, mem9 patterns). v2.22.0: memory curator nudge. v2.21.0: context-cost guards. v2.20.0: skill 47 pattern-conformity. 16 dispatchable subagents.
Requires secrets
Needs API keys or credentials to function
Requires secrets
Needs API keys or credentials to function
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
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A Claude Code plugin providing 127 specialized AI agents with:
This is a Claude Code plugin composed of:
agents/*.md) — Claude Code reads these and follows them as subagent prompts via the Task tool.devteam/*.yaml) — defines capabilities, thresholds, and agent selection triggersscripts/*.sh, hooks/*.sh) — handle state persistence (SQLite), event logging, hook lifecycle, and database managementcommands/*.md, skills/*/SKILL.md) — user-facing commands that orchestrate agent workflowsThere is no separate executable orchestrator. Claude Code itself is the runtime — it reads the agent markdown files, selects appropriate agents based on task characteristics, and executes them as subagents. The shell scripts provide supporting infrastructure (database, hooks, state tracking) but the orchestration logic lives in the agent instructions themselves.
Task Loop is the iterative quality enforcement system that ensures every task is completed to specification:
┌─────────────────────────────────────────────────────────────┐
│ TASK LOOP │
│ │
│ Execute → Quality Gates → Pass? → Complete │
│ ↑ │ │
│ │ Fail │
│ │ ↓ │
│ └─── Fix Tasks ← Model Escalation (if needed) │
│ │
│ Loop until: ALL QUALITY GATES PASS │
└─────────────────────────────────────────────────────────────┘
Features:
The /devteam:implement command automatically selects the best agents for your task:
/devteam:implement "Add user authentication with JWT tokens"
The /devteam:implement command analyzes your task description, file types involved, and project context to select appropriate agents. It considers keyword matches, file extensions, task type (feature vs. bug), and detected language/framework.
For complex bugs, the Bug Council convenes 5 specialized analysts:
┌─────────────────────────────────────────────────────────────┐
│ BUG COUNCIL │
├─────────────────────────────────────────────────────────────┤
│ Root Cause Analyst │ Error analysis, stack traces │
│ Code Archaeologist │ Git history, regression detection │
│ Pattern Matcher │ Similar bugs, anti-patterns │
│ Systems Thinker │ Dependencies, integration issues │
│ Adversarial Tester │ Edge cases, security vectors │
└─────────────────────────────────────────────────────────────┘
↓
Synthesized Solution
Activation Triggers:
bug_council: true flagAgents are strictly confined to their assigned scope:
scope:
allowed_files:
- "src/auth/*.py"
forbidden_directories:
- "src/billing/"
max_files_changed: 5
6 Enforcement Layers:
Agents cannot give up. The persistence system ensures completion:
Abandonment Attempt → Detected → Re-engagement Prompt
↓
Still stuck?
↓
Model Escalation (haiku → sonnet → opus)
↓
Still stuck?
↓
Bug Council Activation
↓
Still stuck?
↓
Human Notification (but keep trying)