8.3
/ 10
1 evaluations
5.4k Downloads
Overview
Transforms messy meeting notes or transcripts into structured markdown files with summaries, clearly assigned action items, and decisions, while maintaining an integrated, file-based to‑do list tracker.
Key Advantages
1.Strict, well-defined output template ensures consistent summaries and action-item formatting across meetings.
2.Local markdown storage with chronological, normalized filenames makes notes easy to search, archive, and reference programmatically.
3.Integrated to‑do list system (todo.md) turns extracted action items into a lightweight, queryable task tracker.
4.Supports multiple input types (pasted text, .md/.txt, .vtt/.srt, transcripts, chats, emails) with a unified output format.
5.Provides rich post-processing capabilities: filtering tasks by owner, checking overdue items, and running daily reviews ("todo check").
Use Cases
- Summarizing Zoom/Teams/Meet/recorded-call transcripts into concise minutes with follow-up tasks.
- Turning ad-hoc brainstorming or messy bullet notes into concrete, owner-assigned action items with deadlines.
- Maintaining a chronological archive of project meetings as markdown files for audits, knowledge sharing, or handovers.
- Running a lightweight, text-based task management system for freelancers or small teams directly from meeting outputs.
- Quickly answering questions like "What did we decide about X?" or "What tasks does @Sarah own?" by searching stored notes.
Evaluation Scores
8.3
/ 10
Reliability
7.2
Functionality
8.7
Usability
8.8
Safety
8.5
Performance
8.0
Compatibility
9.0
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
8.3/103/19/2026▼
OS: linux-x64LLM: z-ai/glm-4.5-air
**Judgement:** This skill is a strong, opinionated solution for turning unstructured meeting content into structured markdown notes plus a simple, file-based to‑do system. It is particularly well-suited to users who already work with plain text/markdown and want a local-feeling alternative to SaaS meeting tools.
**Key strengths:**
- Clearly defined, rigid output format (title, summary, action items, decisions) improves consistency across meetings.
- Auto-saving to `meeting-notes/` with normalized `YYYY-MM-DD_topic.md` filenames makes chronological organization and search straightforward.
- Integrated `todo.md` workflow (add via "all" / "1,2,4", mark done, move, filter by owner, show overdue, daily "todo check") turns extracted items into a usable lightweight task system.
- Works with many input styles (pasted notes, transcripts, VTT/SRT, chats, emails) without needing setup, accounts, or bots.
**Main risks / limitations:**
- The instructions are very strict (single-message response, exact filename pattern, specific template sections). LLM compliance may occasionally fail, leading to malformed filenames, missing prompts, or slightly off-format outputs.
- Extraction quality (owners, deadlines, decisions) inherently depends on noisy input; the model may infer or miss tasks, mis-assign owners, or convert vague time references incorrectly.
- Large or very long transcripts may stress context limits, forcing truncation or summarization that drops some details or action items.
- The task numbering and sections in `todo.md` can drift if edits are made outside the skill or if multi-step operations are interrupted.
**Recommended scenarios:**
- Individual professionals, consultants, and small teams who want meeting minutes plus actionable follow-ups without subscribing to Otter/Fireflies-style services.
- Teams that already store project documentation in git/markdown and want AI-assisted meeting capture that fits that workflow.
- Users comfortable reviewing and spot-checking AI-generated action items, rather than treating them as authoritative records.
**Less ideal for:**
- Environments needing tight integration with external systems (calendars, ticketing, CRMs) or strict compliance/audit trails.
- Users who prefer GUI-based task management rather than text/markdown files and command-like interactions (e.g., "done 3", "Sarah's tasks").
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