Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Define project rules for subskill generation by organizing artifacts in data/, feature scripts in subskills/<feature>/, and optional SKILL.md per feature fol...
Define project rules for subskill generation by organizing artifacts in data/, feature scripts in subskills/<feature>/, and optional SKILL.md per feature fol...
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Apply these rules for future updates: Store newly generated recommendation/result artifacts in data/. Place newly generated code scripts in subskills/<feature>/. Use one folder per feature under subskills/. Add SKILL.md inside the feature folder when behavior/usage needs instructions. Avoid adding one-off scripts and generated files in the main skill root. Recommended layout: <skill>/ SKILL.md config.json data/ subskills/ <feature-a>/ SKILL.md *.py <feature-b>/ SKILL.md *.py
Creating new subskills Organizing existing features Enforcing file placement conventions Keeping skill root clean
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.