Individual skill
baoyu-electron-extract
Extracts resources and JavaScript from any installed Electron app (`.asar` bundle), restoring original sources from `.js.map` files when available or formatting minified code with Prettier otherwise. Use when user wants to "extract Electron app", "decompile Electron", "get the source code of <app>", "inspect app.asar", "看 Electron 应用源码", "提取 .asar", or asks how a desktop Electron app is built. Skips `node_modules` and supports both macOS and Windows.
skills/baoyu-electron-extract/SKILL.md
Source commit b436d6bb494c8731c8181783f75fdc5c28013912
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 991
- Repository last updated
- Nov 8, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-skills Repository topic
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- skills Repository topic
- anthropic-skills Repository topic
- planning Repository topic
- superpowers Repository topic
- context-engineering Repository topic
- ui-ux-design Repository topic
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- claude-code Repository topic
- engineering Derived category
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SKILL.mdcore · 8,030 bytesSKILL.mdcore · 8,030 bytesSKILL.mdcore · 8,030 bytesSKILL.mdcore · 8,030 bytesSKILL.mdcore · 8,030 bytesSKILL.mdcore · 8,030 bytesSKILL.mdcore · 8,030 bytesSKILL.mdcore · 8,030 bytesscripts/main.test.tsruns · 3,372 bytesscripts/main.tsruns · 25,839 bytes
Read excerpt
# Electron App Extract
## User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent.
2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
3. **Batching**: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete `AskUserQuestion` references below are examples — substitute the local equivalent in other runtimes.
## Script Directory