npx claudepluginhub willsigmon/sigstack --plugin superclaudeThis skill is limited to using the following tools:
**Parallel agents for parallel work.**
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
Automates semantic versioning and release workflow for Claude Code plugins: bumps versions in package.json, marketplace.json, plugin.json; verifies builds; creates git tags, GitHub releases, changelogs.
Parallel agents for parallel work.
Single message → Multiple Task calls → Parallel execution → Collected results
One message with 5-20 Task tool invocations. All run simultaneously. Results come back together.
"Find bugs across the codebase"
Spawn per module:
- auth-agent
- payment-agent
- user-agent
- api-agent
- data-agent
"Review PR #123"
Spawn specialists:
- security-reviewer
- performance-reviewer
- style-reviewer
- test-coverage-reviewer
"Build [feature]"
Spawn workers:
- ui-agent
- logic-agent
- test-agent
- docs-agent
"Understand how [thing] works"
Spawn explorers:
- entry-point-finder
- flow-tracer
- dependency-mapper
- pattern-identifier
- edge-case-hunter
[Task: Search auth/ for security issues]
[Task: Search payment/ for security issues]
[Task: Search api/ for security issues]
[Task: Search data/ for security issues]
[Task: Search user/ for security issues]
All in ONE message.
For long-running work:
run_in_background: true
Continue other work.
Check results with TaskOutput later.
Fast file/code search
Pattern finding
Codebase questions
Multi-step implementation
Complex changes
Autonomous work
code-reviewer
debugger
security-reviewer
performance-reviewer
| Task | Agents | Why |
|---|---|---|
| Small search | 3-5 | Quick coverage |
| Full codebase | 5-10 | One per major area |
| Deep analysis | 10-15 | Thorough exploration |
| Massive refactor | 15-20 | Maximum parallelism |
Main conversation: Full codebase
Each agent: Only its target area
5 agents searching 5 areas:
- Same tokens as 1 agent doing all 5
- 5x faster
- Each has focused context
Agent explores extensively.
Returns: "Found issue in auth.swift:142"
You get 1-line summary.
Not the full exploration trace.
- Spawn for simple reads (just use Read tool)
- Spawn with dependencies (race conditions)
- Spawn 50 agents (chaos)
- Wait on each before spawning next
- One message, all agents
- Independent targets
- 5-20 agents max
- Background for long work
Spawn a bug-hunting swarm:
1. Search src/auth/ for security vulnerabilities
2. Search src/payment/ for data handling issues
3. Search src/api/ for input validation bugs
4. Search src/user/ for permission issues
5. Search src/data/ for race conditions
Return findings ranked by severity.
Use when: Any parallel work opportunity