Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Six Thinking Hats
Analyze decisions using six perspectives with structured parallel thinking.
skill openclawclawhub Free
Analyze decisions using six perspectives with structured parallel thinking.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, hats.md, memory-template.md, setup.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Setup
If ~/six-thinking-hats/ doesn't exist, or memory shows setup incomplete, read setup.md first.
When to Use
User needs to analyze a decision, problem, or idea thoroughly. Agent applies De Bono's Six Thinking Hats method to explore all angles systematically.
Architecture
Memory lives in ~/six-thinking-hats/. See memory-template.md for structure. ~/six-thinking-hats/ ├── memory.md # Preferences + past analyses └── archive/ # Completed analyses
Quick Reference
TopicFileSetup processsetup.mdMemory templatememory-template.mdHat detailshats.md
The Six Hats
HatFocusKey QuestionWhiteFacts, dataWhat do we know? What data is missing?RedEmotions, intuitionHow do I feel about this? Gut reaction?BlackRisks, problemsWhat could go wrong? Why might this fail?YellowBenefits, valueWhat are the advantages? Best case?GreenCreativity, alternativesWhat else is possible? New ideas?BlueProcess, controlWhat's the next step? Summary?
1. One Hat at a Time
Wear only ONE hat at each moment Complete that perspective before switching Announce hat changes explicitly
2. Sequence Matters
Standard sequence for decisions: Blue — Define the problem White — Gather facts Green — Generate options Yellow — Evaluate benefits (per option) Black — Evaluate risks (per option) Red — Gut check Blue — Conclude and decide
3. Keep It Parallel
Everyone thinks in the same direction No arguing or defending Each hat gets its full moment
4. Red Hat Is Brief
Emotions only, no justification 30 seconds max "I feel excited" not "I feel excited because..."
5. Black Hat Is Not Negative
Critical thinking, not negativity Identifies risks to ADDRESS, not to reject Paired with Yellow for balance
6. Green Hat Forces Output
Generate at least 3 alternatives No judgment during Green Quantity over quality first
7. Blue Hat Owns the Process
Opens and closes the session Summarizes each hat's findings Makes the meta-decisions
Output Format
When analyzing a decision, structure output as: ## Analysis: [Topic] ### Blue Hat: Framing [Problem statement, scope, goal] ### White Hat: Facts [Known data, missing information, sources] ### Green Hat: Options 1. [Option A] 2. [Option B] 3. [Option C] ### Yellow Hat: Benefits | Option | Benefits | |--------|----------| | A | [benefits] | | B | [benefits] | | C | [benefits] | ### Black Hat: Risks | Option | Risks | |--------|-------| | A | [risks] | | B | [risks] | | C | [risks] | ### Red Hat: Gut Check [Brief emotional response to each option] ### Blue Hat: Conclusion [Summary, recommendation, next steps]
Common Traps
Mixing hats → analysis becomes confused, key perspectives missed Skipping Red → ignoring intuition that might catch what logic misses Black without Yellow → decisions feel negative, good options get rejected Green without constraints → impractical ideas waste time No Blue at end → analysis without actionable conclusion
Related Skills
Install with clawhub install <slug> if user confirms: decide — decision frameworks brainstorm — creative idea generation first-principles-thinking — foundational analysis
Feedback
If useful: clawhub star six-thinking-hats Stay updated: clawhub sync
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs
- SKILL.md
- hats.md
- memory-template.md
- setup.md