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.

MITAuto-check passed

Install Unknown

skills CLI
$ npx skills add team-attention/plugins-for-claude-natives --skill unknown -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install team-attention/plugins-for-claude-natives unknown --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/team-attention/plugins-for-claude-natives.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/clarify/skills/unknown .claude/skills/unknown && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
unknown
GitHub stars
827
Token cost
~1.7k tokens
SKILL.md length
752 words
Files
3 (incl. references)
Skills in repo
16
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 6 steps: Intake → Context → Draft + R1 Questions → …
  • Provides a strategy
  • SKILL.md covers When to Use, Core Principle:…, 3-Round Depth Pattern and Protocol, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Unknown is an agent skill from team-attention/plugins-for-claude-natives. 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.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/playbook-template.md` and `references/question-design.md`).

The repository describes itself as: Claude Code plugins for power users. The licence is MIT.

When your agent uses it

  • Provides a strategy
  • Decision document and wants to surface hidden assumptions and blind spots using the Known/Unknown 4-quadrant framework
  • Assumption check
  • Quadrant analysis

Example prompts

  • “known unknown”
  • “blind spots”
  • “assumption check”
  • “/unknown”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Intake
  2. Context
  3. Draft + R1 Questions
  4. Deepen + R2 Questions
  5. Execute + R3 Questions (Optional)
  6. Playbook Output

What it can do on your machine

Read from SKILL.md and the folder at commit fd9c207. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Unknown loads about 1.7k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 131 tokens; SKILL.md has 752 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~131
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from team-attention/plugins-for-claude-natives at commit fd9c207, republished under its MIT licence (© team-attention). 752 words, ~1,720 tokens.

Download SKILL.mdSave it as .claude/skills/unknown/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
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.

Unknown: Surface Blind Spots with Known/Unknown Quadrants

Surface hidden assumptions and blind spots in any strategy, plan, or decision using the Known/Unknown quadrant framework and hypothesis-driven questioning.

When to Use

  • Strategy or planning documents that need scrutiny
  • Decisions with unclear direction or hidden assumptions
  • Any situation where "what we don't know" matters more than "what we do know"

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.

Core Principle: Hypothesis-as-Options

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
  • Each option IS a testable hypothesis about the user's situation
  • Use multiSelect: true to catch compound causes
  • "Other" is always available for out-of-frame answers

3-Round Depth Pattern

RoundPurposeQuestionsKey trait
R1Validate draft quadrant3-4Broad, covers all quadrants
R2Drill into weak spots2-3Targeted, follows R1 answers
R3Nail execution details2-3Specific, optional

Critical: Generate Round N questions from Round N-1 answers. Never use pre-prepared questions across rounds. Cap total at 7-10 questions.

Protocol

Phase 1: Intake

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.

Phase 2: Context

Gather related context to find Unknown Knowns — assets the user may not realize they have:

  • Glob for related files: CLAUDE.md, README, decision records, past analyses in the project
  • Read project context: recent goals, team structure, active initiatives
  • Identify underutilized assets: existing tools/skills not in use, past projects with reusable patterns, team expertise not leveraged

Items discovered here become UK candidates and options in R1 questions.

Phase 3: Draft + 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):

TargetPatternExample
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
Phase 4: Deepen + R2 Questions

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.

Show full SKILL.md (283 more words)Show less
Phase 5: Execute + R3 Questions (Optional)

After priorities are set, nail down execution details for top items. Skip if R2 already provides enough detail.

Phase 6: Playbook Output

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.

Anti-Patterns

  • Open questions ("What would you like to do?") — use hypothesis options
  • 5+ options per question — causes choice fatigue
  • Ignoring R1 answers when designing R2 — performative questioning
  • Equal depth on all quadrants — wastes time, loses focus
  • No "stop doing" section — adding without subtracting

Example

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.

Key discovery: Abstraction isn't needed — raw insights work better. Collapsed triple bottleneck into 15-minute pipeline.

Rules

  1. Hypotheses, not questions: Every option is a testable hypothesis
  2. Answers drive depth: R2 from R1, R3 from R2
  3. 7-10 questions max: Beyond this is fatigue
  4. Stop > Start: Always include "what to stop doing"
  5. Promote or kill: Every KU gets a promotion condition and a kill condition
  6. Raw > Perfect: Encourage minimum viable experiments, not perfect plans
  7. Draft is disposable: The initial quadrant is meant to be corrected

Additional Resources

Reference Files
  • references/question-design.md — Detailed question types for each round, trigger conditions, and AskUserQuestion formatting guide
  • references/playbook-template.md — Complete output template with section-by-section guide

© team-attention, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in plugins/clarify/skills/unknown of team-attention/plugins-for-claude-natives.

  • SKILL.md
  • references/playbook-template.md
  • references/question-design.md

Open the folder on GitHubat commit fd9c207

Compare with similar skills

Unknown next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Unknown compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Unknown this skillteam-attention/plugins-for-claude-natives827—~1.7kAutomated safety check: PassMIT
Verify Success After Unknown ErrorHKUDS/OpenSpace7.7k—~1.1kAutomated safety check: PassMIT
Grill For UnknownsAsymmetric-al/core381—~4.6kAutomated safety check: PassMIT
Unknowns Discoverysecondsky/claude-skills227—~1.9kAutomated safety check: PassMIT
Grill For Unknownsnicobailon/grill-for-unknowns219—~3.5kAutomated safety check: PassMIT
Unknown Coverage Reviewhashgraph-online/awesome-codex-plugins1.2k—~2.6kAutomated safety check: PassMIT

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Questions about Unknown

What does Unknown do?

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. Unknown is an agent skill from team-attention/plugins-for-claude-natives. 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.

When should I use Unknown?

Unknown fits situations like: provides a strategy; decision document and wants to surface hidden assumptions and blind spots using the Known/Unknown 4-quadrant framework; assumption check; quadrant analysis.

How do I install Unknown in Claude Code?

Run `npx skills add team-attention/plugins-for-claude-natives --skill unknown -a claude-code`. Or copy the skill folder (plugins/clarify/skills/unknown in team-attention/plugins-for-claude-natives) into .claude/skills/unknown in your project. Claude Code loads it when a task matches its description.

How do I install Unknown in Codex?

Run `npx skills add team-attention/plugins-for-claude-natives --skill unknown -a codex`. Or copy the skill folder (plugins/clarify/skills/unknown in team-attention/plugins-for-claude-natives) into .agents/skills/unknown in your project. Codex loads it when a task matches its description.

Can I use Unknown in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add team-attention/plugins-for-claude-natives --skill unknown -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/unknown, .gemini/skills/unknown, .github/skills/unknown and .opencode/skills/unknown in your project.

What does Unknown need to run?

SKILL.md names no scripts, command-line tools or credentials: Unknown is instructions for the agent only.

Does Unknown access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Unknown safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Unknown use?

Unknown is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Unknown use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Unknown?

Skills that share tags, products or a category with Unknown: Verify Success After Unknown Error (HKUDS/OpenSpace, 7.7k stars), Grill For Unknowns (Asymmetric-al/core, 381 stars), Unknowns Discovery (secondsky/claude-skills, 227 stars) and Grill For Unknowns (nicobailon/grill-for-unknowns, 219 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Unknown?

team-attention (a GitHub organization) maintains it in team-attention/plugins-for-claude-natives, which has 827 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on April 20, 2026.

Source: team-attention/plugins-for-claude-natives on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.