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。
Agent task delegation patterns — spawn protocols, handoff metadata, drain gate, parallel limits, and model selection for multi-agent orchestration
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。
Skill({ skill: 'task-delegation' });
Use when:
Every delegation sequence follows three phases:
1. SPAWN — Task({ task_id, subagent_type, prompt })
2. UPDATE — TaskUpdate({ taskId, status: 'in_progress', owner: 'router' }) [immediately after spawn]
3. DRAIN — TaskList() → verify zero in_progress/pending tasks before claiming done
Skipping any phase causes invisible work, stuck tasks, or duplicate execution.
Every Task() call MUST include a task_id parameter. Missing task_id is hard-blocked by spawn hooks.
Task({
task_id: 'task-7',
subagent_type: 'developer',
prompt: `
## Task ID: task-7
## Agent: developer
### Context
<brief description of what this agent needs to know>
### Objective
<single concrete deliverable>
### Instructions
1. Call TaskUpdate({ taskId: 'task-7', status: 'in_progress' }) IMMEDIATELY.
2. <step-by-step work instructions>
3. Call TaskUpdate({ taskId: 'task-7', status: 'completed', metadata: { summary: '...', filesModified: [...] } }).
### Constraints
- Scope: only files listed above
- Do NOT modify unrelated files
`,
});
After every Task(...) spawn, immediately call TaskUpdate for that task:
// Spawn the agent
Task({ task_id: 'task-7', subagent_type: 'developer', prompt: '...' });
// Immediately record as in_progress (router-owned until agent picks it up)
TaskUpdate({ taskId: 'task-7', status: 'in_progress', owner: 'router' });
This guarantees task visibility even before the spawned agent emits its first tool call.
NEVER spawn more than 2 heavy agents simultaneously.
Heavy agents: architect, security-architect, code-reviewer, qa, developer, devops
Light agents: researcher, general-assistant, technical-writer
// CORRECT: Max 2 heavy agents in parallel
Task({ task_id: 'task-3', subagent_type: 'developer', prompt: '...' });
Task({ task_id: 'task-4', subagent_type: 'qa', prompt: '...' });
// WRONG: 3+ heavy agents causes context overflow
Task({ task_id: 'task-3', subagent_type: 'developer', prompt: '...' });
Task({ task_id: 'task-4', subagent_type: 'qa', prompt: '...' });
Task({ task_id: 'task-5', subagent_type: 'architect', prompt: '...' }); // DO NOT
For 3+ parallel workstreams, use master-orchestrator to manage sequencing.
Use structured metadata on TaskUpdate(completed) to enable downstream agents to pick up context without re-reading files:
TaskUpdate({
taskId: 'task-5',
status: 'completed',
metadata: {
summary: 'Implemented JWT auth middleware with refresh tokens',
filesModified: ['src/middleware/auth.ts', 'src/lib/jwt.ts', 'tests/middleware/auth.test.ts'],
outputArtifacts: ['.claude/context/plans/auth-design.md'],
keyDecisions: [
'Used RS256 (asymmetric) over HS256 for key rotation support',
'Refresh tokens stored in Redis with 7-day TTL',
],
discoveredFiles: ['src/auth/legacy-session.ts'], // existing code to reuse/replace
worktreePath: process.env.AGENT_WORKTREE_PATH || process.cwd(),
completedAt: new Date().toISOString(),
},
});
Downstream agents read this via TaskGet({ taskId: 'task-5' }):
const task = TaskGet({ taskId: 'task-5' });
const { keyDecisions, filesModified, discoveredFiles } = task.metadata;
Before claiming "pipeline complete", execute all drain-gate checks in order:
// Step 1: Task drain
const tasks = TaskList();
const openTasks = tasks.filter(t => ['in_progress', 'pending', 'blocked'].includes(t.status));
if (openTasks.length > 0) {
// Report open task IDs, continue orchestration
console.log(
'Still open:',
openTasks.map(t => t.id)
);
}
// Step 2: Reflection queue check
// Read .claude/context/runtime/reflection-spawn-request.json
// If any entries exist with status: 'pending', spawn reflection-agent first
// Step 3: Only after steps 1 and 2 pass — write completion summary
Never claim completion with open tasks or unprocessed reflections.
| Task Type | Model | Rationale |
|---|---|---|
| Simple Q&A, research, summarization | haiku | Cost-effective, fast |
| Implementation, bug fixes, tests | sonnet | Balanced capability/cost (default) |
| Architecture, security review, planning | opus | Highest reasoning for complex tasks |
| Orchestrators (master, evolution) | opus | Must coordinate many subtasks |
| Context compression | haiku | Token-efficient, low complexity |
Task({
task_id: 'task-8',
subagent_type: 'security-architect',
model: 'claude-opus-4-5', // explicit override
prompt: '...',
});
Model precedence (highest to lowest):
model: in Task() callmodel: fieldconfig.yaml agents.{type}.modelFor tasks that must run in order, use addBlockedBy:
TaskCreate({ subject: 'Design auth', taskId: 'task-1' });
TaskCreate({ subject: 'Implement auth', taskId: 'task-2' });
TaskCreate({ subject: 'Test auth', taskId: 'task-3' });
TaskUpdate({ taskId: 'task-2', addBlockedBy: ['task-1'] });
TaskUpdate({ taskId: 'task-3', addBlockedBy: ['task-2'] });
Poll with TaskList() to detect when blocked tasks become unblocked, then spawn the next agent.
Before spawning developer, check if a specialist matches. Developer is the LAST RESORT.
| Request Type | Correct Agent |
|---|---|
| Update documentation | technical-writer |
| Refactor/clean up code | code-simplifier |
| Review code | code-reviewer |
| Run tests / QA | qa |
| Deploy / CI / Docker | devops |
| Database design | database-architect |
| Research / investigate | researcher |
| Security-sensitive work | security-architect |
| Debug production | devops-troubleshooter |
task_id — spawn hooks hard-block missing IDsTaskList() drain — open tasks = invisible workdevopsrun_in_background: true — breaks atomic handshakeBefore calling TaskUpdate({ status: 'completed' }), output this block:
IMPLEMENTATION_RESULT:
summary: <one-line description>
filesModified:
- path/to/file1
- path/to/file2
testsRun: <command>
testResult: <PASS/FAIL + counts>
worktreePath: <AGENT_WORKTREE_PATH or cwd>
The pre-completion-validation.cjs hook reads this block to validate completion.
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。
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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。