WorkBuddy Idea Catcher
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Please install @user_73de2035/workbuddy-idea-catcher by following https://skillhub.cn/install/skillhub.md.
About this skill
Problem Addressed
Engineers often generate ideas during debugging, discussions, or mobile fragments of time, but lack a stable capture entry point. WorkBuddy Idea Catcher unifies voice transcription, plain text, and image input into searchable knowledge entries, preventing “half-formed inspiration from slipping away.” It does not rely on standalone OCR; instead, it uses WorkBuddy’s native multimodal capabilities to extract image content, then applies AI to generate summaries, tags, action items, and categories.
How It Works
The core workflow depends on two IMA subsystems: knowledge bases and notes.
- Pre-check gate: Every invocation first verifies IMA connector status. If unauthorized, it stops and outputs connection guidance without parsing input.
- Dual capture modes: Active capture recognizes explicit commands like “save to XX knowledge base.” Passive capture detects signals such as “just thought of” or “this is a good idea” in normal conversation, but must ask for confirmation and never auto-writes.
- Structured appending: Each knowledge base maps to one fixed note titled
🎯 {kb}|Idea Catcher. The note is created once and then appended. Each fragment carries a Beijing-time timestamp and a title under 15 characters. - Linkage and save-back: During structuring, AI lightly searches historical ideas and surfaces cross-time connections. Review, summary, and inspiration read modes are strictly read-only; save-back requires explicit confirmation.
Boundaries and Caveats
This skill acts as a “data entry + sedimentation starting point,” not a generator for finished proposals. Because the IMA open platform does not provide a knowledge-base creation API, a target knowledge base must be created manually in the IMA client before archiving. Low-confidence voice transcripts and sensitive fields such as phone numbers or contract amounts trigger immediate stop-and-confirm behavior instead of silent ingestion. It suits personal idea capture, team brainstorming logs, and downstream work like research or proposal drafting based on the knowledge base.
Use Cases
- Capture a product idea by voice on mobile and append it to the Product Ideas knowledge-base note.
- Upload a screenshot on desktop, extract the error clue, then structure it into tags and to-dos before saving.
- After team brainstorming, read-only summarize shared knowledge-base ideas and save the digest back after confirmation.
- Detect a passive idea like reversal thinking in chat, ask for confirmation, then append it with a title to the target library.
Best For
- Product managers who need to turn mobile voice notes into tagged, task-ready knowledge-base entries
- Engineers who want to sink PC screenshot error clues into a technical library with action items
- Project leads who want to collect team brainstorm ideas into a shared library and review summaries read-only
- Ops editors who capture topic ideas from chat and append them to content libraries after confirmation
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