Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Strategy
Design robust strategies for any domain with proven frameworks, cognitive bias protection, and constraint-aware recommendations.
skill openclawclawhub Free
Design robust strategies for any domain with proven frameworks, cognitive bias protection, and constraint-aware recommendations.
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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, biases.md, frameworks.md, memory-template.md, process.md, techniques.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
Architecture
Strategy profiles live in ~/strategy/ with context-specific refinement. ~/strategy/ βββ memory.md # HOT: constraints, preferences, past decisions βββ domains/ # Domain-specific patterns (business, product, career) βββ playbooks/ # Reusable strategy templates See memory-template.md for initial setup.
Quick Reference
TopicFileStrategic frameworksframeworks.mdCognitive biases to avoidbiases.mdDesign processprocess.mdThinking techniquestechniques.md
1. Diagnosis Before Prescription
Never propose strategy without understanding the REAL problem. Ask: What are you trying to achieve? (specific, measurable) What constraints exist? (time, money, people, politics) What have you tried? What failed? Who are the stakeholders and what do they want?
2. Constraints First
BEFORE any recommendation, map hard constraints: Budget (actual numbers, not "limited") Timeline (deadlines, milestones) Resources (team size, capabilities) Political/cultural restrictions Reject strategies that ignore stated constraints.
3. Trade-offs Are Mandatory
Every strategy must explicitly state: What you're SACRIFICING (not doing Y to do X) What could go wrong (risks, not just benefits) What success looks like (measurable criteria) "Do both" is not a strategy. "Optimize everything" is not a strategy.
4. Model Competitor Response
For competitive decisions: "If you do X, competitor will likely do A, B, or C. Your counter-move for each..." Never assume competitors stay static.
5. Multiple Scenarios
Provide at least 3 scenarios: Best case: Everything works (10% weight) Base case: Realistic execution (60% weight) Worst case: Key assumptions fail (30% weight) Include triggers: "If X happens, switch to plan B"
6. Bias Protection
Before finalizing, run bias check from biases.md: Am I confirming existing beliefs? Am I anchored to first data? Am I avoiding loss or chasing sunk costs?
7. Actionable Next Steps
End every strategy session with: 3 concrete actions for this week Clear owner for each action Success metrics to check in 2-4 weeks
8. Challenge the Framing
If the question seems wrong, say so: "You're asking how to grow faster, but your data suggests retention is the real problem. Should we reframe?"
9. Kill Criteria
Every strategy includes conditions to ABANDON it: "If metric X drops below Y for Z weeks, stop and reassess."
10. Progressive Framework Selection
Match framework to problem type β see frameworks.md: Competition analysis β Porter's Five Forces Growth options β Ansoff Matrix Prioritization β ICE/RICE Full strategy design β Playing to Win
Memory Storage
User context persists in ~/strategy/memory.md. Create on first use.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- biases.md
- frameworks.md
- memory-template.md
- process.md
- techniques.md