clean-messy-notes-to-action-items

clean-messy-notes-to-action-items is a skill for Claude Code from alivirgo/Major-AI-Skills. It costs 29 tokens per session (1,078 once invoked), scanned A, original, MIT.

A note-processing guide that turns rough meeting notes or brain dumps into decisions, assigned tasks, and unanswered questions. Tasks are written with an owner, a job, a deadline, and a definition of done.

In plain words
What is it for?
Use it to organise meeting notes, identify decisions, assign follow-up work, capture deadlines, and list unresolved questions.
Why use it?
It makes fragmented notes easier to act on by separating agreements from work that still needs an owner or due date. This reduces confusion about who must do what and when.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex.

Part of the mas-common-sense-pack plugin — 5 skills shipped together

Good fit Use it to organise meeting notes, identify decisions, assign follow-up work, capture deadlines, and list unresolved questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alivirgo/major-ai-skills/clean-messy-notes-to-action-items
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add alivirgo/Major-AI-Skills --skill clean-messy-notes-to-action-items
Clone the repo
git clone --depth 1 https://github.com/alivirgo/Major-AI-Skills

Made for: Claude Code.

Or install mas-common-sense-pack, the plugin that ships this one along with the rest of its 5 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for clean-messy-notes-to-action-items

README.md
[![agentmods](https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/clean-messy-notes-to-action-items/github.svg)](https://agentmods.dev/skills/alivirgo/major-ai-skills/clean-messy-notes-to-action-items)
Your own site
<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/clean-messy-notes-to-action-items"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/clean-messy-notes-to-action-items/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for clean-messy-notes-to-action-items

Your own site · 80×15
<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/clean-messy-notes-to-action-items"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/clean-messy-notes-to-action-items.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,078 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.01078
Opus 5 $0.00015 $0.00539
Sonnet 5 $0.00006 $0.00216
Haiku 4.5 $0.00003 $0.00108

Measured today against content hash 63a7a1cccfb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

clean-messy-notes-to-action-items scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/mas-common-sense-pack/skills/clean-messy-notes-to-action-items/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Turn Messy Notes into Assigned Action Items (AI Skill)

Overview

During fast-paced meetings or brainstorming sessions, notes are scribbled in fragments ("Dave check billing API, push release fri, talk to sarah re budget?"). Leaving notes in this state leads to dropped tasks and confusion.

The Action Item Parser Protocol ingests raw, unformatted notes and separates them into 3 clean, unambiguous buckets: Key Decisions Made, Assigned Action Items (with strict ownership and deadlines), and Open Questions.


The 3-Bucket Parser Architecture

┌─────────────────────────────────────────────────────────────┐
│                 The Action-Item Parser                      │
│                                                             │
│  [ RAW FRAGMENTED NOTES & SCRIBBLINGS ]                     │
│                           │                                 │
│                           ▼                                 │
│  ┌───────────────────────────────────────────────────────┐  │
│  │ 1. DECISIONS: What was agreed on? (No action needed)  │  │
│  │ 2. ACTION ITEMS: [WHO] + [WHAT] + [BY WHEN] + [DOD]   │  │
│  │ 3. OPEN QUESTIONS: What is blocked or unowned?        │  │
│  └───────────────────────────────────────────────────────┘  │
└─────────────────────────────────────────────────────────────┘

Master Note Cleanup Prompt Templates

Pattern 1: The Standard Action-Item Parser

Use this for team meetings, client calls, and sprint standups:

Here are my raw, unedited meeting notes:
[PASTE RAW NOTES]

Parse these notes into the following 3 structured sections:

### 1. Key Decisions Made
- Bulleted list of final decisions agreed upon.

### 2. Action Items Table
Create a Markdown table with the following columns:
| Task / Deliverable | Owner | Deadline | Priority (P0 / P1 / P2) | Definition of Done |

### 3. Open Questions & Blockers
- Bulleted list of unresolved issues requiring follow-up.

Rules:
- If an owner or deadline is not explicitly named, label as `[UNASSIGNED]` or `[TBD]`.
- Convert vague verbs ("look into", "check") into concrete action deliverables ("Review API logs and document error rates").

Read the full file on GitHub · 111 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today Changed · -13 tokens per session 63a7a1cccfb5
  2. 12d ago First seen · 111 lines · 42 tokens per session scan A 696664b370db

Subscribe to this mod's changes

clean-messy-notes-to-action-items is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 1,078 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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