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By unclejobs-ai
Orchestrate end-to-end knowledge work cycles (Plan→Do→Check→Act) with parallel multi-agent research, writing, strategic analysis, review, and refinement across isolated worktrees, while unblocking fetches from hostile URLs and persisting knowledge to a PARA-structured second brain.
npx claudepluginhub unclejobs-ai/second-claude-code --plugin second-claude-codeOpen the SCC Artifact Viewer for PDCA session outputs
Do/Produce phase -- build and run PDCA pipelines
Do/Produce phase -- newsletter, article, shorts, report, social
Do/Produce phase -- apply strategic frameworks such as SWOT, RICE, OKR, and Lean Canvas
Batch parallel execution -- decompose large tasks into independent units and run concurrently
Find specific shared concepts between new items and existing knowledge
Adversarial review that attacks the weakest points. Use when you want stress-testing before publishing or presenting. Examples: "Attack this proposal", "What would a skeptic say about this?", "Find the holes in this argument".
Data analysis and pattern recognition. Use after research collection to synthesize findings into structured insights. Examples: "Analyze these research findings", "Find patterns in this data", "Identify contradictions across these sources".
Execute pipeline steps sequentially with state persistence
Score skill candidates using weighted criteria
Use when applying strategic frameworks such as SWOT, RICE, OKR, or GTM
Use when decomposing large tasks into independent parallel units
Use when collecting URLs, notes, files, or excerpts into structured PARA knowledge
Use when the current skills cannot handle a task and new skills are needed
Use when debugging errors, unexpected behavior, or root-cause analysis
Admin access level
Server config contains admin-level keywords
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Claude Code skill pack for FireCrawl (30 skills)
Corca Workflow Framework — consolidated hooks and skill orchestration for structured development sessions
18 universal AI skills for Claude Code — skill creation, deep research, strategic planning, content processing, solution architecture, and orchestration workflows
Framework for AI-powered multi-step workflows with quality gates
Session wrap-up workflow with multi-agent analysis pipeline for documentation, automation, learning, and follow-up suggestions
Structured deep research methodology for Claude Code — query decomposition, parallel web research with source verification, hallucination prevention, and synthesis into well-sourced documents
Uses power tools
Uses power tools
Uses Bash, Write, or Edit tools
Uses Bash, Write, or Edit tools
Runs pre-commands
Contains inline bash commands via ! syntax
Runs pre-commands
Contains inline bash commands via ! syntax
Bash prerequisite issue
Uses bash pre-commands but Bash not in allowed tools
Bash prerequisite issue
Uses bash pre-commands but Bash not in allowed tools
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You type one prompt. Researchers crawl 20+ sources. An analyst finds patterns. A writer drafts 3,000 words — and before you even see it, five reviewers are already tearing the draft apart. One checks the logic. Another attacks the weak points. A third fact-checks every number.
One prompt. Full cycle. No duct tape between plugins.
This isn't a coding assistant. It's a work OS — it runs the full knowledge-work cycle autonomously: Plan → Do → Check → Act. Research, analysis, writing, and quality assurance in a single automated loop.
Image created with SceneSteller
Docs · 한국어 문서 · User Manual · 사용 매뉴얼 · Skill Guides · GitHub Issues · 한국어 README
flowchart TB
U[One user prompt] --> R[Prompt router]
R --> O{External plugin wins?}
O -->|yes| E[Installed plugin capability]
O -->|no| P[Second Claude PDCA]
E --> P
P --> PLAN[Plan: research and analyze]
PLAN --> DO[Do: write or build]
DO --> CHECK[Check: review and verify]
CHECK --> ACT[Act: refine, commit, or route back]
ACT --> OUT[Finished artifact plus cycle memory]
Second Claude Code is the control loop. The v1.4.0 orchestrator sits in front of that loop and gives installed plugins the first shot when they are a stronger fit.
unblock skill — zero-key adaptive fetch chain. The 16th skill closes the gap where blocked URLs (4xx, captcha, WAF, JS-heavy SPAs) silently degraded research output. Eevee researcher and the auto-router now invoke a 9-phase escalation pipeline before giving up.
Phase 0a → 0b → 0c → 0d → 1 → 2 → 3 → 4 → 5 → 6
public APIs → Jina → yt-dlp → keyword → curl variants →
TLS rotation → LightPanda → Playwright → free archives → optional paid
schema_version + idempotency_key envelope; stagnation detection short-circuits to archive after 3 same-reason failuresSee docs/RELEASE-v1.5.0.md for full release notes and verification.
Previously in v1.4.0...
Cross-Plugin Orchestrator — Second Claude Code now discovers and commands all your installed Claude Code plugins automatically.
You type "코드 리뷰해줘." The prompt-detect hook spots the intent. The orchestrator scans your plugin ecosystem in real-time and finds coderabbit installed. Instead of running its own review, it auto-dispatches: Skill: coderabbit-code-review. You type "커밋해줘" — it finds commit-commands and routes /commit-commands:commit. A direct plugin request works too: "posthog event analysis" routes to Skill: posthog-exploring-autocapture-events when that plugin is installed.
No hardcoded registry. No manual plugin wiring. No configuration files. The orchestrator discovers plugins at runtime, maps each one to the appropriate PDCA phase (Plan/Do/Check/Act), and generates the exact Skill tool invocation string. Install a plugin → it appears. Uninstall → it disappears. Zero maintenance.
graph LR
U[User Prompt] --> PD[prompt-detect hook]
PD --> P[PDCA Router]
P --> |check phase| OC[Orchestrator]
OC --> |scan| PL{Plugin Ecosystem}
PL --> CR[coderabbit<br/>code-review]
PL --> CC[commit-commands<br/>commit]
PL --> FD[frontend-design<br/>design]
PL --> CX[codex<br/>review]
PL --> AT[agent-teams<br/>team-review]
OC --> |dispatch| SK[Skill: plugin-skill]
SK --> |execute| RS[Result]