- name
- transcript-triage
- description
- Parses long transcripts into topics under ordered lists, to triage in your notes system
- type
- public
- version
- 0.1.0
- status
- published
- dependencies
- []
- author
- nonlinear
- license
- MIT
Transcript Triage
Parse AI conversation transcripts → numbered topics → groom into positions.
Flow
- Trigger: User provides transcript (MD format)
- Parse: AI extracts topics, decisions, action items
- Triage: Classify by urgency/importance:
- NOW - Current epic (immediate) - LATER - Future epics (planned) - BACKLOG - Ideas (someday/maybe) - DECISIONS - What was agreed (log)
- Groom: User positions topics in correct places (ROADMAP, epic-notes, memory)
Triggers
- "triage transcript"
- "parse conversation"
- "organize chat"
- "extract action items from [file/paste]"
Output Format
## Triage Results
### NOW (v1.1.0 Contract Diagram)
1. [Topic] - [Brief description]
2. [Topic] - [Brief description]
### LATER (Future Epics)
3. [Topic] - [Brief description]
4. [Topic] - [Brief description]
### BACKLOG (Ideas)
5. [Topic] - [Brief description]
### DECISIONS (Log to Memory)
- [Decision] - [Context]
- [Decision] - [Context]Integration Points
- Backstage: Auto-add NOW items to current epic-notes/
- ROADMAP: Suggest LATER items as new epics
- Memory: Log DECISIONS to memory/YYYY-MM-DD.md
Notes
Why this skill?
- External AI chats (Claude, ChatGPT, etc.) generate valuable insights
- Transcripts are hard to parse manually
- Need systematic way to extract → classify → act
Similar skills:
- Backstage (epic management, checks)
- Roadmap (epic planning, grooming)
- Memory (decision logging)
Unique value:
- Bridges external conversations → internal workflow
- Automates triage (urgency + importance)
- Preserves context (decisions logged, not lost)