Develop Skill

This skill covers the Development stage of the AI-DLC workflow: claiming Tasks, writing code, reporting progress, submitting for verification, and managing sessions for sub-agent observability.

Overview

Developer Agents take Tasks created by PM Agents (via /proposal) and turn them into working code. Each task follows:

claim --> in_progress --> report work --> self-check AC --> submit for verify --> Admin /review

For multi-agent parallel execution, Chorus integrates with Pi subagents (parallel workers) with full session-based observability.

Tools

Task Lifecycle:

Work Reporting:

Acceptance Criteria:

Session (sub-agents only — main agent skips these):

Sub-agents: always pass sessionUuid to chorus_update_task and chorus_report_work for attribution. Main agent / Team Lead: call these tools without sessionUuid — no session needed.

Shared tools (checkin, query, comment, search, notifications): see /chorus

Workflow

Step 1: Check In

chorus_checkin()

Review your persona, current assignments, and pending work counts.

Step 1.5: Get Your Session (Sub-Agents Only)

Skip if you are the main agent or Team Lead.

If you are a sub-agent (spawned via subagent_spawn), the Chorus extension automatically creates your session and injects it into your task prompt — look for a --- Chorus session (auto-injected) --- section containing your Session UUID. Keep it for all task operations.

Step 2: Find Work

chorus_get_available_tasks({ projectUuid: "<project-uuid>" })

Or check existing assignments:

chorus_get_my_assignments()

Step 3: Claim a Task

chorus_get_task({ taskUuid: "<task-uuid>" })  # Review first
chorus_claim_task({ taskUuid: "<task-uuid>" })

Check: description, acceptance criteria, priority, story points, related proposal/documents.

Step 4: Gather Context

Each task and proposal includes a commentCount field — use it to decide which entities have discussions worth reading.

1. Read the task and identify dependencies:

   chorus_get_task({ taskUuid: "<task-uuid>" })
   

   Pay attention to dependsOn (upstream tasks) and commentCount.

2. Read task comments (contains previous work reports, progress, feedback):

   chorus_get_comments({ targetType: "task", targetUuid: "<task-uuid>" })
   

3. Review upstream dependency tasks — your work likely builds on theirs:

   chorus_get_task({ taskUuid: "<dependency-task-uuid>" })
   chorus_get_comments({ targetType: "task", targetUuid: "<dependency-task-uuid>" })
   

   Look for: files created, API contracts, interfaces, trade-offs.

4. Read the originating proposal for design intent:

   chorus_get_proposal({ proposalUuid: "<proposal-uuid>", section: "documents" })
   

   (chorus_get_proposal defaults to section: "basic" — just metadata + a draft index. Pass section: "documents" for the design docs, or section: "full" for docs + task drafts.)

5. Read project documents (PRD, tech design, ADR):

   chorus_get_documents({ projectUuid: "<project-uuid>" })
   

Document update flow (OpenSpec mode): if the originating proposal description contains a line OpenSpec change slug: <slug>, the project's PRD / tech_design / spec Documents are mirrors of files under openspec/changes/<slug>/. To update such a Document (e.g. clarify an AC, fix a spec scenario before resubmitting), load the openspec-aware skill at skills/openspec-aware/SKILL.md and follow §3.8: edit the local .md file first, then mirror through the chorus-mcp-call.sh wrapper with json_encode_file and chorus_check_response.

⛔ Do not call chorus_pm_update_document directly from the MCP harness with a hand-typed content field in OpenSpec mode. The local file is the source of truth; agent-typed content drifts and burns tokens (openspec-aware §2 Rule 1).

When the LAST task of an OpenSpec idea is verified, the extension injects an archive reminder (openspec-aware §3.9) — run openspec archive <slug> --yes, then mirror each emitted openspec/specs/<capability>/spec.md back via §3.8.

In the no-OpenSpec fallback (no slug line, or no openspec CLI), edit the Document content directly via the existing MCP tool with no wrapper, no local file step.

Step 5: Start Working

Sub-agent: checkin to the task first:

chorus_session_checkin_task({ sessionUuid: "<session-uuid>", taskUuid: "<task-uuid>" })

Then mark as in-progress:

# Sub-agent:
chorus_update_task({ taskUuid: "<task-uuid>", status: "in_progress", sessionUuid: "<session-uuid>" })

# Main agent:
chorus_update_task({ taskUuid: "<task-uuid>", status: "in_progress" })

Dependency enforcement: If this task has unresolved dependencies (dependsOn tasks not in done or closed), the call will be rejected with detailed blocker info. Use chorus_get_unblocked_tasks to find tasks you can start now.

Step 6: Report Progress

Report periodically with chorus_report_work. Include:

• What was completed
• Files created or modified
• Git commits and PRs
• Current status / remaining work
• Blockers or questions

chorus_report_work({
  taskUuid: "<task-uuid>",
  report: "Progress:\n- Created src/services/auth.service.ts\n- Commit: abc1234\n- Remaining: unit tests",
  sessionUuid: "<session-uuid>"
})

Report with status update when complete:

chorus_report_work({
  taskUuid: "<task-uuid>",
  report: "All implementation complete:\n- Files: ...\n- PR: https://github.com/org/repo/pull/42\n- All tests passing",
  status: "to_verify",
  sessionUuid: "<session-uuid>"
})

Step 7: Self-Check Acceptance Criteria

Before submitting, check structured acceptance criteria:

task = chorus_get_task({ taskUuid: "<task-uuid>" })

# If task.acceptanceCriteriaItems is non-empty:
chorus_report_criteria_self_check({
  taskUuid: "<task-uuid>",
  criteria: [
    { uuid: "<criterion-uuid>", devStatus: "passed", devEvidence: "Unit tests cover this" },
    { uuid: "<criterion-uuid>", devStatus: "passed", devEvidence: "Verified manually" }
  ]
})

For required criteria, keep working until you can self-check as passed. Only use failed for optional criteria that are out of scope.

Step 8: Submit for Verification

Sub-agents — checkout first:

chorus_session_checkout_task({ sessionUuid: "<session-uuid>", taskUuid: "<task-uuid>" })

Then submit:

chorus_submit_for_verify({
  taskUuid: "<task-uuid>",
  summary: "Implemented auth feature:\n- Added login/logout endpoints\n- JWT middleware\n- 95% test coverage\n- All AC self-checked (3/3 passed)"
})

to_verify does NOT unblock downstream tasks — only done (after admin verification) does.

Review Agent: After chorus_submit_for_verify, the Chorus extension nudges you to spawn chorus-task-reviewer — an independent, read-only review agent. You MUST spawn it yourself (it is NOT auto-launched). Use the blocking subagent tool (it waits for the VERDICT and returns it) — wait for the VERDICT before proceeding. The reviewer posts a VERDICT comment on the task.

After the reviewer completes, read its VERDICT:

chorus_get_comments({ targetType: "task", targetUuid: "<task-uuid>" })

Find the most recent comment containing VERDICT: and act on it:

• VERDICT: PASS — All AC verified, no issues. Proceed to admin verification.
• VERDICT: PASS WITH NOTES — All AC verified, minor notes. Proceed to admin verification (notes are non-blocking).
• VERDICT: FAIL — BLOCKERs found. Do NOT verify. Fix the BLOCKERs listed in the reviewer's comment, then resubmit.

If no new VERDICT: comment appears after the reviewer returns, it exhausted its turn budget before posting. Respawn it ONCE with a concise-budget hint in the prompt: "Stay within turn budget. Skip deep verification. Fetch task/proposal/comments, run only the core tests, and post your VERDICT comment within the first 12 turns." If the second attempt still produces no VERDICT, review manually using the checklist and proceed.

Final code-review gateway (after the Idea's LAST task is verified): when the task you just verified is the last task of its idea-rooted proposal, the feature is about to ship — the extension nudges you to spawn chorus-code-reviewer (gated by CHORUS_ENABLE_CODE_REVIEWER, default on). Spawn it yourself via the blocking subagent tool, passing the ideaUuid + round number; it reviews the Idea's aggregate code change across all its tasks (cross-task integration, architecture, security, regression, feature-level coverage) and posts one VERDICT comment on the idea. PASS / PASS WITH NOTES → ship; FAIL → fix via /skill:quick-dev (chorus_create_tasks with proposalUuid set to the current approved proposal so the fix tasks attach to it — do NOT reopen the verified tasks). Group related small BLOCKERs by default; split only materially large or independently testable fixes. Require AC self-check, independent task review, and admin verification for every fix task. Re-run aggregate review only after every fix is successfully done; a failed or cancelled fix stops the loop and escalates, bounded by CHORUS_MAX_CODE_REVIEW_ROUNDS (env, default 3; 0 = unlimited). Advisory/behavioral, like the other reviewers. Run it before any idea-completion report.

Step 9: Handle Review Feedback

If the reviewer returns FAIL, or the task is reopened after verification:

All acceptance criteria are reset to pending when a task is reopened.

1. Check feedback:

   chorus_get_task({ taskUuid: "<task-uuid>" })
   chorus_get_comments({ targetType: "task", targetUuid: "<task-uuid>" })
   

2. Fix every BLOCKER listed in the reviewer's FAIL comment.
3. Checkin again, fix issues, report fixes, resubmit.

Step 10: Task Complete

Once Admin verifies (status: done), move to the next available task (back to Step 2).

Step 11: Idea Completion Report (advisory)

If the task you just self-verified was the LAST one of its Idea (every Task across every approved Proposal is now done/closed) and you have document:write, offer to call chorus_create_report via AskUserQuestion. The content parameter's description carries the section template. Skip on decline — the extension will remind on the next run.

Session (Sub-Agents Only)

The Chorus extension fully automates session lifecycle — creation (on subagent_spawn, via tool_call task injection) and cleanup (on subagent_manage close) are handled by the extension. Sub-agents only do 3 things manually:

1. chorus_session_checkin_task({ sessionUuid, taskUuid }) — before starting work
2. chorus_session_checkout_task({ sessionUuid, taskUuid }) — when done (recommended; plugin also auto-checkouts on exit)
3. Pass sessionUuid to chorus_update_task and chorus_report_work for attribution

Main agent / Team Lead: no session needed — call tools without sessionUuid.

Parallel Sub-Agent Integration

When using Pi's subagents (pi-subagents) to run multiple sub-agents in parallel, Chorus provides full work observability. The chorus-pi extension automates the session lifecycle: when you subagent_spawn a worker, it creates a Chorus session and injects the session UUID + workflow into the worker's task; when you subagent_manage close the agent, it closes the session.

Two-Layer Architecture

Team Lead Workflow

# 1. Check in and plan
chorus_checkin()
chorus_list_tasks({ projectUuid: "<project-uuid>" })

# 2. Spawn sub-agents (async — returns immediately with an agentId)
# Pass only task UUIDs — the chorus-pi extension auto-injects the session
# UUID + workflow into the worker's task.
subagent_spawn({
  agent: "worker",
  task: "Your Chorus task UUID: <task-uuid>\nProject UUID: <project-uuid>\n\nImplement..."
})
# → returns agentId (sa_<uuid>); keep it to close the agent later.

What the Team Lead prompt needs:

• Task UUID(s)
• NO session UUID, NO workflow boilerplate — the extension auto-injects everything
• The agentId returned by subagent_spawn (needed to subagent_manage close later)

Sub-Agent Workflow

The extension injects the session UUID + workflow into the sub-agent's task automatically (at tool_call time, before the subprocess starts). The sub-agent reads the Session UUID: from its task prompt and follows the injected steps:

# 1. Checkin to task (sessionUuid comes from the auto-injected task)
chorus_session_checkin_task({ sessionUuid: "<my-session-uuid>", taskUuid: "<my-task-uuid>" })

# 2. Move to in_progress
chorus_update_task({ taskUuid: "<my-task-uuid>", status: "in_progress", sessionUuid: "<my-session-uuid>" })

# 3. Do work... code, test, commit...

# 4. Report progress
chorus_report_work({ taskUuid: "<my-task-uuid>", report: "...", sessionUuid: "<my-session-uuid>" })

# 5. Checkout and submit
chorus_session_checkout_task({ sessionUuid: "<my-session-uuid>", taskUuid: "<my-task-uuid>" })
chorus_submit_for_verify({ taskUuid: "<my-task-uuid>", summary: "..." })

# 6. (Optional) notify the team lead via mailbox — you need its agentId
subagent_mailbox({ action: "send", agentId: "<team-lead-agentId>", message: "Task complete" })

# DO NOT call chorus_close_session — the extension closes it when the
# team lead runs subagent_manage({ action: "close", agentId: "<my-agentId>" })

Handling Task Dependencies (DAG)

Server-side enforcement: chorus_update_task(status: "in_progress") rejects if any dependsOn task is not done or closed.

Wave-based execution (recommended):

1. chorus_get_unblocked_tasks — find ready tasks
2. subagent_spawn workers for Wave 1 (async; keep the agentIds)
3. Wait for to_verify (poll chorus_list_tasks or read the async completion messages), then verify each task (chorus_admin_verify_task → done)
4. subagent_manage close each finished worker (releases its slot + closes its Chorus session)
5. chorus_get_unblocked_tasks — find newly unblocked tasks (Wave 2)
6. Repeat until all tasks done

Critical: to_verify does NOT resolve dependencies — only done or closed does. The Team Lead must verify tasks between waves. Also remember to subagent_manage close finished workers — Pi limits concurrent sub-agents and completed does not release the slot.

Multiple Tasks Per Sub-Agent

A single sub-agent can work on multiple tasks sequentially:

subagent_spawn({
  agent: "worker",
  task: "Your Chorus tasks (work in order):\n1. task-schema-uuid\n2. task-api-uuid (depends on #1)\n\nFor EACH task: checkin -> in_progress -> work -> report -> checkout -> submit_for_verify"
})

MCP Access for Sub-Agents

Sub-agents need MCP configured at project level (.mcp.json) or user level (~/.pi/agent/mcp.json). The chorus-pi extension's session injection works regardless, because it calls chorus over its own MCP-over-HTTP fetch (not the sub-agent's gateway).

Troubleshooting

Work Report Best Practices

Good report (enables session continuity):

Implemented password reset flow:

Files created/modified:
- src/services/auth.service.ts (new)
- src/app/api/auth/reset/route.ts (new)
- tests/auth/reset.test.ts (new)

Git:
- Commit: a1b2c3d "feat: password reset flow"
- PR: https://github.com/org/repo/pull/15

Implementation details:
- POST /api/auth/reset-request: sends email with token
- Token expires after 1 hour, single-use
- Rate limiting: 3 requests/hour/email
- 12 new tests, all passing

Acceptance criteria:
- [x] User can request reset via email
- [x] Reset link expires after 1 hour
- [x] Rate limiting prevents abuse

Bad report: Done.

Tips

• Read task comments first — they contain previous work reports for session continuity
• Check upstream dependencies — read dependsOn tasks and their comments for interfaces/APIs
• Read the originating proposal — understand design rationale and task DAG
• Use commentCount — skip fetching comments on entities with count 0
• Report progress frequently — include file paths, commits, and PRs
• Write detailed submit summaries — Admin needs them to verify
• If blocked, add a comment and consider releasing the task
• One task at a time: finish or release before claiming another
• Use meaningful sub-agent names — they become Chorus session names

When to Release a Task

Release if:

• You can't complete it (missing knowledge, blocked)
• A higher-priority task needs attention
• You won't finish in a reasonable timeframe

chorus_release_task({ taskUuid: "<task-uuid>" })
chorus_add_comment({ targetType: "task", targetUuid: "<task-uuid>", content: "Releasing: reason..." })

Next

• After submitting for verification, an Admin reviews using /review
• Human "Start Development" wake: a start_development wake (the human clicked Start Development on the idea-detail panel) means: claim and execute ALL remaining tasks of the idea's approved proposal in dependency order — loop this workflow until no claimable task remains, leaving to_verify and other-session tasks untouched.
• Human "Yolo" wake: a yolo_requested wake (the human clicked Yolo on the idea-detail panel) means: drive the WHOLE idea to done via the yolo skill (the full-auto AI-DLC pipeline), not just the execute stage — read the idea's current state and resume from whatever phase it is in. Unlike start_development it is stage-adaptive, and it must never merge or push a PR without explicit human approval.
• For platform overview and shared tools, see /chorus