Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Route tasks to sub-agents with optimal model selection, error recovery, and result verification.
Route tasks to sub-agents with optimal model selection, error recovery, and result verification.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Spawn cost < task cost β delegate. Otherwise, do it yourself.
TierModelsCostUse forSmallHaiku, GPT-4o-mini, Gemini Flash~$0.25/1MSearch, summarize, format, classifyMediumSonnet, GPT-4o, Gemini Pro~$3/1MCode, analysis, synthesisLargeOpus, o1, Gemini Ultra~$15/1MArchitecture, complex reasoning Rule of thumb: Start with smallest tier. Escalate only if output quality insufficient.
Every spawn must include: 1. TASK: Single clear deliverable (not "help with X") 2. MODEL: Explicit tier choice 3. CONTEXT: Only files/info needed (never full history) 4. OUTPUT: Expected format ("return JSON with...", "write to file X") 5. DONE: How to signal completion Check templates.md for copy-paste spawn templates.
Error TypeActionSub-agent timeout (>5 min no response)Kill and retry onceWrong output formatRetry with stricter instructionsTask too complex for tierEscalate: SmallβMediumβLargeRepeated failures (3x)Abort, report to user Check errors.md for recovery patterns and escalation logic.
Never trust "done" without checking: Code: Run tests, check syntax Files: Verify they exist and have content Data: Spot-check 2-3 items Research: Confirm sources exist
Quick tasks (<30 seconds to do yourself) Tasks needing conversation context Anything requiring user clarification mid-task
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.