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AI Meeting Notes w/ Action Items + To-Do List Tracker

AI Meeting Notes w/ Action Items + To-Do List Tracker

by jeffjhunter · v1.0.0

Productivity
ClawHub
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
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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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