Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Identify tasks that waste tokens. Scripts don't hallucinate, don't cost per-run, and don't fail randomly. Spot automation opportunities and build them.
Identify tasks that waste tokens. Scripts don't hallucinate, don't cost per-run, and don't fail randomly. Spot automation opportunities and build them.
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.
LLMs are expensive, slow, and probabilistic. Scripts are free, fast, and deterministic. Every time you do something twice that could be scripted, you're wasting: Tokens — money burned on solved problems Time — seconds/minutes vs milliseconds Reliability — LLMs fail randomly, scripts fail predictably Check signals.md for detection patterns. Check templates.md for common script patterns.
Before doing any task, ask: Is this deterministic? Same input → same output every time? Is this repetitive? Will this happen again? Is this rule-based? Can I write down the exact steps? If yes to all three → script it, don't LLM it.
Task typeScriptLLMFormat conversion (JSON↔YAML)✅❌Text transformation (regex)✅❌File operations (rename, move)✅❌Data validation✅❌API calls with fixed logic✅❌Git workflows✅❌Judgement calls❌✅Creative content❌✅Ambiguous inputs❌✅One-time unique tasks❌✅
When you notice yourself: Doing the same task twice → script it Writing similar prompts repeatedly → script the pattern Formatting output the same way → script the formatter Validating data with same rules → script the validator Calling APIs with predictable logic → script the integration
When writing automation: Single purpose — one script, one job Idempotent — safe to run multiple times Documented — usage in comments at top Logged — output what you're doing Fail loud — exit codes, error messages No secrets hardcoded — env vars or keychain
If you do something 3 times, it must become a script. 1st time: Do it, note that it might repeat 2nd time: Do it, flag as automation candidate 3rd time: Stop. Write the script first, then run it.
Don'tDo insteadRe-prompt for same transformationWrite a script onceUse LLM for data validationWrite validation rulesBurn tokens on formattingUse formatters (prettier, jq, etc.)Ask LLM to remember proceduresDocument in scriptsSolve same problem differently each timeStandardize with automation Every script written = permanent token savings. Compound your efficiency.
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