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note-summarizer

Organize study notes into a structured knowledge-point outline and export to a .docx summary when you need a shareable, hierarchical document from Word/PPT/Text/Markdown inputs.

Install / Use

npx skills add aipoch/medical-research-skills --skill note-summarizer

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

89/100

Supported Platforms

Universal

Our assessment of note-summarizer

note-summarizer scores 89/100 on our quality scale, 359th of 881 Content & Media skills we index (top 41%).

Its SKILL.md is 5.7 KB long, well organised into 17 sections with 6 code examples: a solid amount of guidance for an agent.

With 1,916 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
20/20
Description
15/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 12 days ago, so note-summarizer is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

note-summarizer compared with similar skills

All 4 of these similar skills score higher than note-summarizer; compare them before choosing.

SkillScoreStarsUpdatedFormat
note-summarizer (this skill)by aipoch891.9k12d agoSKILL.md
Agent-Reachby Panniantong10086.2k14d agoCLAUDE.md
siyuanby siyuan-note10046.6ktodayMCP Server
algorithmic-artby anthropics100177.9k7d agoSKILL.md
pptxby anthropics100177.9k7d agoSKILL.md

Frequently asked questions

How do I install note-summarizer?
Run npx skills add aipoch/medical-research-skills --skill note-summarizer. The install tabs above show the steps for each supported agent.
Which AI agents does note-summarizer work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is note-summarizer safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is note-summarizer still maintained?
The repository was last updated 12 days ago, so note-summarizer is actively maintained.

name: note-summarizer description: Organize study notes into a structured knowledge-point outline and export to a .docx summary when you need a shareable, hierarchical document from Word/PPT/Text/Markdown inputs. license: MIT author: AIPOCH

Source: https://github.com/aipoch/medical-research-skills

Note Summarizer

When to Use

  • Use this skill when you need organize study notes into a structured knowledge-point outline and export to a .docx summary when you need a shareable, hierarchical document from word/ppt/text/markdown inputs in a reproducible workflow.
  • Use this skill when a others task needs a packaged method instead of ad-hoc freeform output.
  • Use this skill when the user expects a concrete deliverable, validation step, or file-based result.
  • Use this skill when scripts/note_summarizer.py is the most direct path to complete the request.
  • Use this skill when you need the note-summarizer package behavior rather than a generic answer.

Key Features

  • Scope-focused workflow aligned to: Organize study notes into a structured knowledge-point outline and export to a .docx summary when you need a shareable, hierarchical document from Word/PPT/Text/Markdown inputs.
  • Packaged executable path(s): scripts/note_summarizer.py.
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

  • Python: 3.10+. Repository baseline for current packaged skills.
  • Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

cd "20260316/scientific-skills/Others/note-summarizer"
python -m py_compile scripts/note_summarizer.py
python scripts/note_summarizer.py --help

Example run plan:

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/note_summarizer.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: scripts/note_summarizer.py.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

1. When to Use

  • When you have class notes (Word/Markdown/text) and need a clean outline with key takeaways per section.
  • When you need to merge notes from multiple sources (e.g., Word + PPT + Markdown) into one unified study summary.
  • When you want to preserve the original heading hierarchy (H1/H2/H3) while summarizing content into bullet points.
  • When you need to include images from the source materials in the corresponding sections of the exported Word document.
  • When you need an offline, local-file-only summarization workflow for study materials.

2. Key Features

  • Multi-format input support: .docx, .pptx, .txt, .md.
  • Exports a Word (.docx) document with a structured outline (Heading 1/2/3).
  • Generates key-point bullet summaries per section with a configurable limit.
  • Optional heading hierarchy preservation to keep the original structure.
  • Optional image handling: copy images into the output or skip them.
  • Local-only processing (no network access) and minimal logging of user content.

3. Dependencies

  • Python (recommended): 3.9+
  • Python packages:
    • python-docx (latest compatible)
    • python-pptx (latest compatible)
    • Pillow (latest compatible)

Install:

python -m pip install python-docx python-pptx pillow

4. Example Usage

Interactive run

python scripts/note_summarizer.py

Run with a JSON config (recommended)

  1. Create input.json:
{
  "inputs": ["notes.docx", "slides.pptx", "notes.md"],
  "output": "summary.docx",
  "keep_headings": true,
  "max_bullets_per_section": 6,
  "image_mode": "copy",
  "max_image_long_edge": 1600
}
  1. Execute:
python scripts/note_summarizer.py --json input.json

5. Implementation Details

Input schema

Required

  • inputs: array of input file paths (Word/PPT/Text/Markdown)
  • output: output .docx file path

Optional

  • keep_headings (boolean, default: true): attempts to preserve heading hierarchy from source documents.
  • max_bullets_per_section (int, default: 6): maximum number of summary bullets generated per section.
  • image_mode ("copy" | "skip", default: "copy"): whether to copy images into the output document.
  • max_image_long_edge (int, default: 1600): maximum pixel size for the long edge when copying images.

Output structure

  • A Word document containing:
    • Heading levels (Heading 1/2/3) representing the outline
    • Bullet lists of key points under each section
    • Images copied into the relevant sections when image_mode: "copy"

Security / compliance notes

  • Processes local files only and does not access the network.
  • Reads only user-provided paths and writes only to the specified output path.
  • Avoids logging or emitting sensitive content from user files into logs.

Basic verification

python scripts/note_summarizer.py --json examples/example.json

Success criteria:

  • The output .docx exists and opens successfully.
  • The heading hierarchy and per-section key points are present and correctly structured.

Related Skills

View on GitHub
GitHub Stars1.9k
CategoryContent
Updated12d ago
Forks175

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions