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Agent skill

Note Summarizer

by aipoch in aipoch/medical-research-skills

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.

MITAuto-check passedDocuments & Office

Install Note Summarizer

skills CLI
$ npx skills add aipoch/medical-research-skills --skill note-summarizer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aipoch/medical-research-skills note-summarizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/scientific-skills/Other/note-summarizer .claude/skills/note-summarizer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
note-summarizer
GitHub stars
2k
Token cost
~1.5k tokens
SKILL.md length
631 words
Files
6 (incl. scripts)
Skills in repo
567
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 5 steps: When to Use → Key Features → Dependencies → …
  • Tasks that involve Word documents
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 6 more sections
  • Runs Python scripts from its folder; calls python

What it does

Note Summarizer is an agent skill from aipoch/medical-research-skills. 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.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `input.json`, `note-summarizer_audit_result_v1.json` and `notes.md`).

It sits in Documents & Office, covering Word documents and Study guides and flashcards. It works with Microsoft Word. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • Tasks that involve Word documents
  • Tasks that involve Study guides and flashcards

Example prompts

  • “/note-summarizer”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. When to Use
  2. Key Features
  3. Dependencies
  4. Example Usage
  5. Implementation Details

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Note Summarizer loads about 1.5k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 631 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 631 words, ~1,458 tokens.

Download SKILL.mdSave it as .claude/skills/note-summarizer/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
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

bash
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.
Show full SKILL.md (254 more words)Show less

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:

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

4. Example Usage

Interactive run
bash
python scripts/note_summarizer.py
  1. Create input.json:
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:
bash
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
bash
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.

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts) in scientific-skills/Other/note-summarizer of aipoch/medical-research-skills.

  • SKILL.md
  • input.json
  • note-summarizer_audit_result_v1.json
  • notes.md
  • scripts/note_summarizer.py
  • summary.docx

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Note Summarizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Note Summarizer compared with similar skills
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Gzh Designisjiamu/gzh-design-skill3.9k1 repos~2.2kAutomated safety check: PassAGPL-3.0
Word Document Reader and WriterHKUDS/DeepTutor41k—~2.5kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Note Summarizer

What does Note Summarizer do?

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. Note Summarizer is an agent skill from aipoch/medical-research-skills.docx summary when you need a shareable, hierarchical document from Word/PPT/Text/Markdown inputs.

When should I use Note Summarizer?

Note Summarizer fits situations like: tasks that involve Word documents; tasks that involve Study guides and flashcards.

How do I install Note Summarizer in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill note-summarizer -a claude-code`. Or copy the skill folder (scientific-skills/Other/note-summarizer in aipoch/medical-research-skills) into .claude/skills/note-summarizer in your project. Claude Code loads it when a task matches its description.

How do I install Note Summarizer in Codex?

Run `npx skills add aipoch/medical-research-skills --skill note-summarizer -a codex`. Or copy the skill folder (scientific-skills/Other/note-summarizer in aipoch/medical-research-skills) into .agents/skills/note-summarizer in your project. Codex loads it when a task matches its description.

Can I use Note Summarizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill note-summarizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/note-summarizer, .gemini/skills/note-summarizer, .github/skills/note-summarizer and .opencode/skills/note-summarizer in your project.

What does Note Summarizer need to run?

Going by SKILL.md and its folder, Note Summarizer needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Note Summarizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Note Summarizer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Note Summarizer use?

Note Summarizer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Note Summarizer use?

About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Note Summarizer?

Skills that share tags, products or a category with Note Summarizer: Exam Ingest (ZeKaiNie/universal-examprep-skill, 301 stars), Markitdown (ImCa0/just-laws, 781 stars), DOCX (rvdbreemen/OTGW-firmware, 207 stars) and Gzh Design (isjiamu/gzh-design-skill, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Note Summarizer?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,973 GitHub stars. The repository holds 567 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.