Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Diverge
Spawn multiple perspectives to evaluate a problem before converging on a solution.
skill openclawclawhub Free
Spawn multiple perspectives to evaluate a problem before converging on a solution.
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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, personas.md, synthesis.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
When to Diverge
Diverge when a single viewpoint isn't enough: Product decisions β Different user types have conflicting needs Safety-critical β Need doctor, lawyer, security expert perspectives Creative work β Multiple aesthetic directions before choosing Complex trade-offs β No obvious "right" answer Don't diverge for: Simple tasks with clear answers Speed-critical requests Tasks where you already have high confidence
How Many Perspectives
ComplexityPerspectivesExamplesLow2-3Quick sanity checkMedium3-5Product feature reviewHigh5-7Safety-critical, legal Rule: Enough to cover blind spots, not so many you can't synthesize.
Choosing Perspectives
Match perspectives to the problem: Product: Power user, casual user, churned user, new user Medical: Doctor, patient, caregiver, insurance Legal: Lawyer, affected party, regulator Technical: Security, performance, maintainability Content: Target audience, critic, competitor Check personas.md for common perspective templates.
Synthesis
After collecting perspectives: Identify conflicts β Where do perspectives disagree? Find common ground β What do all perspectives agree on? Weigh by stakes β Safety concerns > preferences Decide β Make a call, document trade-offs Check synthesis.md for conflict resolution patterns.
Learning User Preferences
Track when divergence helped vs. was overkill. Adapt: User who values speed β diverge less, ask before spawning User who values thoroughness β diverge more proactively Related: For routing tasks to sub-agents, see delegate. For iterating until success, see loop.
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
3 Docs
- SKILL.md
- personas.md
- synthesis.md