Skill
team-shinchan:ultrawork
Use when you need to complete tasks quickly with parallel agent execution.
From team-shinchanInstall
1
Run in your terminal$
npx claudepluginhub seokan-jeong/team-shinchan --plugin team-shinchanTool Access
This skill uses the workspace's default tool permissions.
Skill Content
EXECUTE IMMEDIATELY
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👦 [Shinnosuke] Ultrawork mode -- maximum parallelization!
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Step 1: Validate
If args > 2000 chars: truncate + warn.
Step 1.5: Preset Lookup (if args includes a preset name)
If args contains a recognized preset name, resolve agent list from agents/_shared/team-presets.json:
node -e "
const fs = require('fs');
const presets = JSON.parse(fs.readFileSync('${CLAUDE_PLUGIN_ROOT}/agents/_shared/team-presets.json', 'utf8')).presets;
const input = process.argv[1] || '';
const matched = Object.values(presets).find(p => input.toLowerCase().includes(p.name));
if (matched) console.log(JSON.stringify(matched));
" "{args}"
- If a preset matches: use its
agentsarray to constrain which domain agents are assigned in Step 3 - If no preset matches: proceed with full routing table (no constraint)
Recognized preset names: fullstack, backend-api, quality, data-pipeline, security-audit
Step 2: Rapid Planning (if 3+ files or unclear scope)
Task(subagent_type="team-shinchan:nene", model="opus",
prompt="ULTRAWORK rapid planning. Minimal breakdown: task units, file ownership per agent, dependency order, parallelizable groups. Under 30 lines.\nUser request: {args}")
Store as {plan_context}. Skip if task is clear and touches 1-2 files.
Step 2.5: Wave Order Calculation (if plan_context exists)
If {plan_context} was generated, compute Wave execution order using ontology:
node -e "
const { getWaveOrder } = require('${CLAUDE_PLUGIN_ROOT}/src/ontology-engine.js');
const taskList = /* parse task units from plan_context as [{id, files:[...]}] */;
const { waves, warnings } = getWaveOrder(process.cwd(), taskList);
console.log(JSON.stringify({ waves, warnings }, null, 2));
"
waves=[[task1, task2], [task3], ...]— 같은 Wave 내 태스크는 병렬 실행 가능- Wave 1 완료 후 Wave 2 실행, 순차적으로 진행
- Fallback:
getWaveOrder가 단일 Wave를 반환하거나 온톨로지가 없으면, 모든 태스크를 동시 병렬 실행 (기존 동작 유지)
Store result as {wave_plan}. Pass to Step 3 execution.
Step 3: Execute
Task(subagent_type="team-shinchan:shinnosuke", model="opus",
prompt="/team-shinchan:ultrawork invoked.
${plan_context ? 'Pre-planned:\n' + plan_context : ''}
Parallel execution:
1. Break into independent units (or follow plan)
2. Assign to agents in parallel (run_in_background=true)
Routing: Analysis→Shiro/Misae/Hiroshi | Execution→Bo/Kazama | Frontend→Aichan | Backend→Bunta | DevOps→Masao | Verification→Action Kamen
3. Queue sequential tasks, wait for completion
4. Integrate results + Action Kamen verification
Done when: all TODOs complete, features working, tests pass, no errors. Keep working if not met.
User request: ${args}")
STOP HERE. The above Task handles everything.
Concurrency Guidelines
- File-level ownership: each agent owns specific files, no overlaps
- Max 3-4 concurrent agents to avoid context confusion
- Check for conflicts before merging parallel results
- Failure isolation: if one fails, others continue; report failures after all complete
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Last CommitMar 23, 2026