agentleFS
catlog22catlog22/Claude-Code-Workflow/.claude/skills/team-issue/SKILL.md

team-issue

Skill2.1k starsChanged 7 months agoMITArchived repositoryView on GitHub

Unified team skill for issue resolution. Uses team-worker agent architecture with role directories for domain logic. Coordinator orchestrates pipeline, workers are team-worker agents. Triggers on "team issue".

3 other projects use a version of this, 2 of them edited.

Adopted by

Most recently taken up by

The file

Files
SKILL.md

Team Issue Resolution

Orchestrate issue resolution pipeline: explore context -> plan solution -> review (optional) -> marshal queue -> implement. Supports Quick, Full, and Batch pipelines with review-fix cycle.

Architecture

Skill(skill="team-issue", args="<issue-ids> [--mode=<mode>]")
                    |
         SKILL.md (this file) = Router
                    |
     +--------------+--------------+
     |                             |
  no --role flag              --role <name>
     |                             |
  Coordinator                  Worker
  roles/coordinator/role.md    roles/<name>/role.md
     |
     +-- clarify -> dispatch -> spawn workers -> STOP
                                    |
             +-------+-------+-------+-------+
             v       v       v       v       v
          [explor] [plann] [review] [integ] [imple]

Role Registry

RolePathPrefixInner Loop
coordinatorroles/coordinator/role.md——
explorerroles/explorer/role.mdEXPLORE-*false
plannerroles/planner/role.mdSOLVE-*false
reviewerroles/reviewer/role.mdAUDIT-*false
integratorroles/integrator/role.mdMARSHAL-*false
implementerroles/implementer/role.mdBUILD-*false

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

Shared Constants

  • Session prefix: TISL
  • Session path: .workflow/.team/TISL-<slug>-<date>/
  • Team name: issue
  • 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:

Agent({
  subagent_type: "team-worker",
  description: "Spawn <role> worker",
  team_name: "issue",
  name: "<role>",
  run_in_background: true,
  prompt: `## Role Assignment
role: <role>
role_spec: <skill_root>/roles/<role>/role.md
session: <session-folder>
session_id: <session-id>
team_name: issue
requirement: <task-description>
inner_loop: false

## Progress Milestones
session_id: <session-id>
Report progress via team_msg at natural phase boundaries (context loaded -> core work done -> verification).
Report blockers immediately via team_msg type="blocker".
Report completion via team_msg type="task_complete" after final SendMessage.

Read role_spec file (@<skill_root>/roles/<role>/role.md) to load Phase 2-4 domain instructions.
Execute built-in Phase 1 (task discovery) -> role Phase 2-4 -> built-in Phase 5 (report).`
})

Parallel spawn (Batch mode, N explorer or M implementer instances):

Agent({
  subagent_type: "team-worker",
  name: "<role>-<N>",
  team_name: "issue",
  run_in_background: true,
  prompt: `## Role Assignment
role: <role>
role_spec: <skill_root>/roles/<role>/role.md
session: <session-folder>
session_id: <session-id>
team_name: issue
requirement: <task-description>
agent_name: <role>-<N>
inner_loop: false

## Progress Milestones
session_id: <session-id>
Report progress via team_msg at natural phase boundaries (context loaded -> core work done -> verification).
Report blockers immediately via team_msg type="blocker".
Report completion via team_msg type="task_complete" after final SendMessage.

Read role_spec file (@<skill_root>/roles/<role>/role.md) to load Phase 2-4 domain instructions.
Execute built-in Phase 1 (task discovery, owner=<role>-<N>) -> role Phase 2-4 -> built-in Phase 5 (report).`
})

User Commands

CommandAction
check / statusView execution status graph, no advancement
resume / continueCheck worker states, advance next step

Session Directory

.workflow/.team/TISL-<slug>-<date>/
├── session.json                    # Session metadata + pipeline + fix_cycles
├── task-analysis.json              # Coordinator analyze output
├── .msg/
│   ├── messages.jsonl              # Message bus log
│   └── meta.json                   # Session state + cross-role state
├── wisdom/                         # Cross-task knowledge
│   ├── learnings.md
│   ├── decisions.md
│   ├── conventions.md
│   └── issues.md
├── explorations/                   # Explorer output
│   └── context-<issueId>.json
├── solutions/                      # Planner output
│   └── solution-<issueId>.json
├── audits/                         # Reviewer output
│   └── audit-report.json
├── queue/                          # Integrator output (also .workflow/issues/queue/)
└── builds/                         # Implementer output

Specs Reference

  • specs/pipelines.md — Pipeline definitions and task registry

Error Handling

ScenarioResolution
Unknown commandError with available command list
Role not foundError with role registry
CLI tool failsWorker fallback to direct implementation
Fast-advance conflictCoordinator reconciles on next callback
Completion action failsDefault to Keep Active
Review rejection exceeds 2 roundsForce convergence to integrator
No issues found for given IDsCoordinator reports error to user
Deferred BUILD count unknownDefer to MARSHAL callback

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.