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Notion Research Documentation

Official
openai·vlatest·productivity

Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add openai/plugins --skill notion-research-documentation --full-depth -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

openai

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned openai/plugins at 5fd93af4cd.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
5fd93af4cd
Manifest
plugins/notion/skills/notion-research-documentation/SKILL.md
Scanned
21 files, 1,680 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to research information stored within Notion databases and pages. It can gather data from various Notion sources and then synthesize this information into structured formats like briefs, comparative analyses, or detailed reports. The resulting documentation will include proper citations linking back to the original Notion content.

When to use it

  • Competitive Analysis: Gather product specifications and feature comparisons from competitor's public Notion pages.
  • Market Research: Compile insights from multiple customer feedback databases stored in Notion.
  • Internal Knowledge Base Consolidation: Synthesize information scattered across various internal Notion wikis into a single, organized document.
  • Report Generation: Create reports summarizing findings from research projects documented within Notion workspaces.

Key capabilities

  • Research across Notion databases and pages
  • Synthesis of gathered information
  • Generation of structured documentation (briefs, comparisons, reports)
  • Automated citation generation linking back to original Notion content

Example prompts

  • "Create a brief summarizing the key features of product X as described in our public Notion page."
  • "Compare and contrast the pricing models for services A and B, using data from their respective Notion documentation pages. Include citations."
  • “Generate a report outlining customer pain points based on feedback collected in our Notion database.”

Tips & gotchas

  • Ensure the AI agent has appropriate access permissions to the relevant Notion workspaces and databases.
  • The quality of the synthesized documentation depends heavily on the clarity and structure of the information within Notion; poorly organized data will yield less useful results.