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team-review

Unified team skill for code review. 3-role pipeline: scanner, reviewer, fixer. Triggers on team-review.

67

Quality

60%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

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npx tessl skill review --optimize ./.codex/skills/team-review/SKILL.md
SKILL.md
Quality
Evals
Security

Team Review

Orchestrate multi-agent code review: scanner -> reviewer -> fixer. Toolchain + LLM scan, deep analysis with root cause enrichment, and automated fix with rollback-on-failure.

Architecture

Skill(skill="team-review", args="task description")
                    |
         SKILL.md (this file) = Router
                    |
     +--------------+--------------+
     |                             |
  no --role flag              --role <name>
     |                             |
  Coordinator                  Worker
  roles/coordinator/role.md    roles/<name>/role.md
     |
     +-- analyze -> dispatch -> spawn workers -> STOP
                                    |
                    +-------+-------+-------+
                    v       v       v
                [scan]  [review]  [fix]
                team-worker agents, each loads roles/<role>/role.md

Role Registry

RolePathPrefixInner Loop
coordinatorroles/coordinator/role.md
scannerroles/scanner/role.mdSCAN-*false
reviewerroles/reviewer/role.mdREV-*false
fixerroles/fixer/role.mdFIX-*true

Role Router

Parse $ARGUMENTS:

  • Has --role <name> -> Read roles/<name>/role.md, execute Phase 2-4
  • No --role -> roles/coordinator/role.md, execute entry router

Delegation Lock

Coordinator is a PURE ORCHESTRATOR. It coordinates, it does NOT do.

Before calling ANY tool, apply this check:

Tool CallVerdictReason
spawn_agent, wait_agent, close_agent, send_message, assign_taskALLOWEDOrchestration
list_agentsALLOWEDAgent health check
request_user_inputALLOWEDUser interaction
mcp__ccw-tools__team_msgALLOWEDMessage bus
Read/Write on .workflow/.team/ filesALLOWEDSession state
Read on roles/, commands/, specs/ALLOWEDLoading own instructions
Read/Grep/Glob on project source codeBLOCKEDDelegate to worker
Edit on any file outside .workflow/BLOCKEDDelegate to worker
Bash("ccw cli ...")BLOCKEDOnly workers call CLI
Bash running build/test/lint commandsBLOCKEDDelegate to worker

If a tool call is BLOCKED: STOP. Create a task, spawn a worker.

No exceptions for "simple" tasks. Even a single-file read-and-report MUST go through spawn_agent.


Shared Constants

  • Session prefix: RV
  • Session path: .workflow/.team/RV-<slug>-<date>/
  • Team name: review
  • CLI tools: ccw cli --mode analysis (read-only), ccw cli --mode write (modifications)
  • Message bus: mcp__ccw-tools__team_msg(session_id=<session-id>, ...)

Worker Spawn Template

Coordinator spawns workers using this template:

spawn_agent({
  agent_type: "team_worker",
  task_name: "<task-id>",
  fork_context: false,
  items: [
    { type: "text", text: `## Role Assignment
role: <role>
role_spec: <skill_root>/roles/<role>/role.md
session: <session-folder>
session_id: <session-id>
requirement: <task-description>
inner_loop: <true|false>

Read role_spec file (<skill_root>/roles/<role>/role.md) to load Phase 2-4 domain instructions.` },

    { type: "text", text: `## Task Context
task_id: <task-id>
title: <task-title>
description: <task-description>
pipeline_phase: <pipeline-phase>` },

    { type: "text", text: `## Upstream Context
<prev_context>` }
  ]
})

After spawning, use wait_agent({ targets: [...], timeout_ms: 900000 }) to collect results, then close_agent({ target }) each worker.

Model Selection Guide

Rolemodelreasoning_effortRationale
Scanner (SCAN-*)(default)mediumToolchain scanning + pattern matching, less reasoning
Reviewer (REV-*)(default)highDeep root cause analysis requires full reasoning
Fixer (FIX-*)(default)highCode modification needs precision

Override model/reasoning_effort in spawn_agent when cost optimization is needed:

spawn_agent({
  agent_type: "team_worker",
  task_name: "<task-id>",
  fork_context: false,
  model: "<model-override>",
  reasoning_effort: "<effort-level>",
  items: [...]
})

User Commands

CommandAction
check / statusView pipeline status graph
resume / continueAdvance to next step
--fullEnable scan + review + fix pipeline
--fixFix-only mode (skip scan/review)
-q / --quickQuick scan only
--dimensions=sec,cor,prf,mntCustom dimensions
-y / --yesSkip confirmations

v4 Agent Coordination

Message Semantics

IntentAPIExample
Send scan findings to running reviewersend_messageQueue scan results to REV-* as supplementary context
Not used in this skillassign_taskNo resident agents -- sequential 3-stage pipeline
Check running agentslist_agentsVerify agent health during resume

Pipeline Pattern

This is a sequential 3-stage pipeline (scan -> review -> fix). No parallel phases. Each stage completes before the next starts. The coordinator may skip stages (0 findings -> skip review+fix; user declines fix -> skip fix).

Agent Health Check

Use list_agents({}) in handleResume and handleComplete:

// Reconcile session state with actual running agents
const running = list_agents({})
// Compare with tasks.json active_agents
// Reset orphaned tasks (in_progress but agent gone) to pending

Named Agent Targeting

Workers are spawned with task_name: "<task-id>" enabling direct addressing:

  • send_message({ target: "REV-001", items: [...] }) -- queue scan findings to running reviewer
  • close_agent({ target: "SCAN-001" }) -- cleanup by name after completion

Completion Action

When pipeline completes, coordinator presents:

request_user_input({
  questions: [{
    question: "Review pipeline complete. What would you like to do?",
    header: "Completion",
    multiSelect: false,
    options: [
      { label: "Archive & Clean (Recommended)", description: "Archive session, clean up" },
      { label: "Keep Active", description: "Keep session for follow-up work" },
      { label: "Export Results", description: "Export deliverables to target directory" }
    ]
  }]
})

Session Directory

.workflow/.team/RV-<slug>-<date>/
├── .msg/messages.jsonl     # Team message bus
├── .msg/meta.json          # Session state + cross-role state
├── wisdom/                 # Cross-task knowledge
├── scan/                   # Scanner output
├── review/                 # Reviewer output
└── fix/                    # Fixer output

Specs Reference

Error Handling

ScenarioResolution
Unknown --role valueError with available role list
Role not foundError with expected path (roles/<name>/role.md)
CLI tool failsWorker fallback to direct implementation
Scanner finds 0 findingsReport clean, skip review + fix
User declines fixDelete FIX tasks, complete with review-only results
Fast-advance conflictCoordinator reconciles on next callback
Completion action failsDefault to Keep Active
Repository
catlog22/Claude-Code-Workflow
Last updated
Created

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