Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
6-phase multi-agent pipeline with approval gates. Orchestrates Plan→Design→Implement→Review→Test→Deploy phases with explicit entry/exit criteria, phase-level agent assignment, and human-in-the-loop approval checkpoints.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
This skill provides a structured 6-phase multi-agent pipeline for medium-to-large feature work:
Plan → Design → Implement → Review → Test → Deploy
Each phase has:
Use for:
Do NOT use for:
developer directly)NO PHASE ADVANCE WITHOUT VERIFIED EXIT CRITERIA
The orchestrator must verify every exit criterion before spawning the next phase's agent. If any criterion is unmet, the current phase remains active.
Entry criteria:
Assigned agent: planner
Actions:
# Planner produces implementation plan
node .claude/tools/team-orchestration/team-orchestration.cjs --phase plan --task "{{task_description}}"
Exit criteria (ALL must pass):
.claude/context/plans/{{task-id}}-plan.mdApproval gate: HUMAN (user approves the plan before Design starts)
Entry criteria:
.claude/context/plans/{{task-id}}-plan.mdAssigned agent: architect
Actions:
# Architect produces design document
node .claude/tools/team-orchestration/team-orchestration.cjs --phase design --plan ".claude/context/plans/{{task-id}}-plan.md"
Exit criteria (ALL must pass):
.claude/context/plans/{{task-id}}-design.mdApproval gate: AUTOMATED (validation script checks doc completeness)
Entry criteria:
Assigned agent: developer
Actions:
# Developer implements per design doc
# Uses tdd skill for code changes
Skill({ skill: 'tdd' })
Exit criteria (ALL must pass):
pnpm lint:fix passes with 0 errorspnpm format produces no changesApproval gate: AUTOMATED (lint + format + test run)
Entry criteria:
Assigned agent: code-reviewer
Actions:
# Code reviewer performs structured review
Skill({ skill: 'requesting-code-review' })
Exit criteria (ALL must pass):
.claude/context/reports/backend/{{task-id}}-review.mdApproval gate: HUMAN (reviewer sign-off required before Test)
Entry criteria:
Assigned agent: qa
Actions:
# QA runs full test suite and validates coverage
Skill({ skill: 'qa-workflow' })
Exit criteria (ALL must pass):
pnpm test.claude/context/reports/backend/{{task-id}}-qa.mdApproval gate: AUTOMATED (test suite pass/fail)
Entry criteria:
Assigned agent: devops
Actions:
# DevOps executes deployment
Skill({ skill: 'finishing-a-development-branch' })
Exit criteria (ALL must pass):
.claude/context/reports/backend/{{task-id}}-deploy.mdApproval gate: HUMAN (deployment sign-off before marking pipeline complete)
Orchestrators MUST maintain phase state in a snapshot file:
// .claude/context/plans/{{task-id}}.snapshot.json
{
"taskId": "{{task-id}}",
"currentPhase": "implement",
"completedPhases": ["plan", "design"],
"approvals": {
"plan": { "approved": true, "by": "user", "at": "2026-03-22T..." },
"design": { "approved": true, "by": "automated", "at": "2026-03-22T..." }
},
"agentAssignments": {
"plan": "planner",
"design": "architect",
"implement": "developer",
"review": "code-reviewer",
"test": "qa",
"deploy": "devops"
},
"resumable": true,
"timestamp": "2026-03-22T..."
}
Command to verify phase state:
node -e "const s=require('./.claude/context/plans/{{task-id}}.snapshot.json');console.log('Phase:',s.currentPhase,'Completed:',s.completedPhases.join(','))"
Before advancing from phase N to N+1:
Task() with explicit task_id[ORCHESTRATOR] Phase 1 (Plan) exit criteria check:
✓ Plan file exists: .claude/context/plans/my-feature-plan.md
✓ 5 subtasks defined (within 2-10 range)
✓ Risk section populated
✓ Dependencies listed
GATE: Requesting human approval...
[HUMAN APPROVES]
[ORCHESTRATOR] Advancing to Phase 2 (Design)...
Input validated against schemas/input.schema.json before execution.
Output contract defined in schemas/output.schema.json.
Before starting:
Read .claude/context/memory/learnings.md for prior orchestration runs on similar tasks.
After completing:
.claude/context/memory/learnings.md.claude/context/memory/decisions.mdplan-generator — generates implementation plans (used in Phase 1)architecture-review — deep architecture review (supplements Phase 2)tdd — test-driven implementation (used in Phase 3)requesting-code-review — code review dispatch (Phase 4)qa-workflow — QA validation loop (Phase 5)finishing-a-development-branch — branch completion (Phase 6)swarm-coordination — for running Implement phase with parallel agentsmaster-orchestrator (primary — runs the full pipeline)planner (Phase 1)architect (Phase 2)developer (Phase 3)code-reviewer (Phase 4)qa (Phase 5)devops (Phase 6)まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
日本語の概要は準備中です。原文の説明を表示しています。
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
日本語の概要は準備中です。原文の説明を表示しています。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
日本語の概要は準備中です。原文の説明を表示しています。
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
日本語の概要は準備中です。原文の説明を表示しています。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
日本語の概要は準備中です。原文の説明を表示しています。