Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Convert raw notes, error logs, voice dictation, or screenshots into crisp GitHub-flavored markdown issue reports. Use when the user pastes bug info, error messages, or informal descriptions and wants a structured GitHub issue. Supports images/GIFs for visual evidence.
Convert raw notes, error logs, voice dictation, or screenshots into crisp GitHub-flavored markdown issue reports. Use when the user pastes bug info, error messages, or informal descriptions and wants a structured GitHub issue. Supports images/GIFs for visual evidence.
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.
Transform messy input (error logs, voice notes, screenshots) into clean, actionable GitHub issues.
Create issues as markdown files in /issues/ directory at the repo root. Use naming convention: YYYY-MM-DD-short-description.md
Be crisp: No fluff. Every word should add value. Extract structure from chaos: Voice dictation and raw notes often contain the facts buried in casual language. Pull them out. Infer missing context: If user mentions "same project" or "the dashboard", use context from conversation or memory to fill in specifics. Placeholder sensitive data: Use [PROJECT_NAME], [USER_ID], etc. for anything that might be sensitive. Match severity to impact: Critical: Service down, data loss, security issue High: Major feature broken, no workaround Medium: Feature impaired, workaround exists Low: Minor inconvenience, cosmetic Image/GIF handling: Reference attachments inline. Format: 
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Largest current source with strong distribution and engagement signals.