agent-council
Collect and synthesize opinions from multiple AI agents. Use when users say "summon the council", "ask other AIs", or want…
This skill should be used when the user provides a strategy, plan, or decision document and wants to surface hidden assumptions and blind spots using the Known/Unknown 4-quadrant framework. Trigger on "known unknown", "4분면 분석", "blind spots", "뭘 놓치고 있지", "뭘 모르는지 모르겠어", "전략 점검",
$ npx -y skills add team-attention/plugins-for-claude-natives --skill unknown --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/unknownContext preview
The summary Claude sees to decide when to auto-load this skill.
This skill should be used when the user provides a strategy, plan, or decision document and wants to surface hidden assumptions and blind spots using the Known/Unknown 4-quadrant framework. Trigger on "known unknown", "4분면 분석", "blind spots", "뭘 놓치고 있지", "뭘 모르는지 모르겠어", "전략 점검",
name: unknown description: This skill should be used when the user provides a strategy, plan, or decision document and wants to surface hidden assumptions and blind spots using the Known/Unknown 4-quadrant framework. Trigger on "known unknown", "4분면 분석", "blind spots", "뭘 놓치고 있지", "뭘 모르는지 모르겠어", "전략 점검", "전략 분석", "assumption check", "가정 점검", "quadrant analysis", "what am I missing". Strategy-level blind spot analysis with hypothesis-driven questioning. For requirement clarification use vague; for content-vs-form reframing use metamedium.
Surface hidden assumptions and blind spots in any strategy, plan, or decision using the Known/Unknown quadrant framework and hypothesis-driven questioning.
For specific requirement clarification (feature requests, bug reports), use the **vague** skill. For content-vs-form reframing (optimizing within a form vs inventing a new form), use the **metamedium** skill.
**ALWAYS use the AskUserQuestion tool** for every question in R1/R2/R3 — never ask questions in plain text. The structured format enforces hypothesis-as-options and limits choice fatigue.
Present hypotheses as options instead of open questions. The hypotheses ARE the analysis — by designing good options, 80% of the analytical work is done before the user even answers. The user's job is to confirm, correct, or surprise.
BAD: "Why can't you do video content?" ← open question, high load GOOD: "Time / Skill gap / No guests / High bar" ← pick one or more
| Round | Purpose | Questions | Key trait | |-------|---------|-----------|-----------| | R1 | Validate draft quadrant | 3-4 | Broad, covers all quadrants | | R2 | Drill into weak spots | 2-3 | Targeted, follows R1 answers | | R3 | Nail execution details | 2-3 | Specific, optional |
**Critical**: Generate Round N questions from Round N-1 answers. Never use pre-prepared questions across rounds. Cap total at 7-10 questions.
**File provided**: Read and extract goals, components, implicit assumptions, missing elements.
**Topic keyword only**: Start directly with R1 questions to establish scope. The draft in Phase 3 will be rougher but R1 corrects it.
Gather related context to find Unknown Knowns — assets the user may not realize they have:
Items discovered here become UK candidates and options in R1 questions.
Generate an initial 4-quadrant classification. **The draft is intentionally rough** — R1 exists to correct it, not confirm it. Err on the side of classifying uncertain items as KU rather than KK.
Design R1 questions to test quadrant boundaries. **Batch all R1 questions into a single AskUserQuestion call** (max 4 questions):
| Target | Pattern | Example | |--------|---------|---------| | KK | "Is this really certain?" | "Primary revenue source?" (options) | | KU | "Where's the weakest link?" | "Which flywheel connection is weakest?" | | UK | "What exists but isn't used?" | Based on context findings | | UU | "What's the biggest fear?" | Risk scenarios as options |
Analyze R1 answers. Find the most uncertain area and drill in.
**R2 triggers**: compound answers (messy area), unexpected answers (draft wrong), "Other" selected (outside frame).
For detailed R2 question types, see `references/question-design.md`.
After priorities are set, nail down execution details for top items. Skip if R2 already provides enough detail.
Generate a structured 4-quadrant playbook file. For the complete output template, see `references/playbook-template.md`.
**Output structure:**
# {Topic}: Known/Unknown Quadrant Analysis
## Current State Diagnosis
## Quadrant Matrix (ASCII with resource %)
## 1. Known Knowns: Systematize (60%)
## 2. Known Unknowns: Design Experiments (25%)
- Each KU: Diagnosis → Experiment → Success Criteria → Deadline → Promotion Condition
## 3. Unknown Knowns: Leverage (10%)
## 4. Unknown Unknowns: Set Up Antennas (5%)
## Strategic Decision: What to Stop
## Execution Roadmap (week-by-week)
## Core Principles (3-5 decision criteria)**Resource percentages (60/25/10/5) are defaults.** Adjust based on context — e.g., a startup exploring product-market fit may allocate 40% KU and 30% KK.
**Input**: Growth strategy document
**R1**: Revenue source? → Workshops. Weakest link? → Biz→Knowledge. Blocker? → Skill gap + high bar (multiSelect). Biggest fear? → Execution scattered.
**R2** (driven by "execution scattered"): What to drop? → Product dev. Why no knowledge→content? → No process + no time + hard to abstract. Role clarity? → Unclear.
**R3**: Video format? → Screen recording. Retro blocker? → Don't know what to capture. What content resonated? → Raw discoveries.
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A collection of Claude Code plugins for power users who want to extend Claude Code's capabilities beyond the defaults.
Collect and synthesize opinions from multiple AI agents. Use when users say "summon the council", "ask other AIs", or want…
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개발 커뮤니티에서 기술 주제에 대한 다양한 의견 수집. "개발자 반응", "커뮤니티 의견", "developer reactions" 요청에 사용. Reddit, HN, Dev.to, Lobsters 등 종합.
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