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davila7/claude-code-templates · updated Apr 8, 2026

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$npx skills add https://github.com/davila7/claude-code-templates --skill notion-research-documentation
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summary

Pull relevant Notion pages, synthesize findings, and publish clear briefs or reports (with citations and links to sources).

skill.md

Research & Documentation

Pull relevant Notion pages, synthesize findings, and publish clear briefs or reports (with citations and links to sources).

Quick start

  1. Find sources with Notion:notion-search using targeted queries; confirm scope with the user.
  2. Fetch pages via Notion:notion-fetch; note key sections and capture citations (reference/citations.md).
  3. Choose output format (brief, summary, comparison, comprehensive report) using reference/format-selection-guide.md.
  4. Draft in Notion with Notion:notion-create-pages using the matching template (quick, summary, comparison, comprehensive).
  5. Link sources and add a references/citations section; update as new info arrives with Notion:notion-update-page.

Workflow

0) If any MCP call fails because Notion MCP is not connected, pause and set it up:

  1. Add the Notion MCP:
    • codex mcp add notion --url https://mcp.notion.com/mcp
  2. Enable remote MCP client:
    • Set [features].rmcp_client = true in config.toml or run codex --enable rmcp_client
  3. Log in with OAuth:
    • codex mcp login notion

After successful login, the user will have to restart codex. You should finish your answer and tell them so when they try again they can continue with Step 1.

1) Gather sources

  • Search first (Notion:notion-search); refine queries, and ask the user to confirm if multiple results appear.
  • Fetch relevant pages (Notion:notion-fetch), skim for facts, metrics, claims, constraints, and dates.
  • Track each source URL/ID for later citation; prefer direct quotes for critical facts.

2) Select the format

  • Quick readout → quick brief.
  • Single-topic dive → research summary.
  • Option tradeoffs → comparison.
  • Deep dive / exec-ready → comprehensive report.
  • See reference/format-selection-guide.md for when to pick each.

3) Synthesize

  • Outline before writing; group findings by themes/questions.
  • Note evidence with source IDs; flag gaps or contradictions.
  • Keep user goal in view (decision, summary, plan, recommendation).

4) Create the doc

  • Pick the matching template in reference/ (brief, summary, comparison, comprehensive) and adapt it.
  • Create the page with Notion:notion-create-pages; include title, summary, key findings, supporting evidence, and recommendations/next steps when relevant.
  • Add citations inline and a references section; link back to source pages.

5) Finalize & handoff

  • Add highlights, risks, and open questions.
  • If the user needs follow-ups, create tasks or a checklist in the page; link any task database entries if applicable.
  • Share a short changelog or status using Notion:notion-update-page when updating.

References and examples

  • reference/ — search tactics, format selection, templates, and citation rules (e.g., advanced-search.md, format-selection-guide.md, research-summary-template.md, comparison-template.md, citations.md).
  • examples/ — end-to-end walkthroughs (e.g., competitor-analysis.md, technical-investigation.md, market-research.md, trip-planning.md).
how to use notion-research-documentation

How to use notion-research-documentation on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add notion-research-documentation
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/davila7/claude-code-templates --skill notion-research-documentation

The skills CLI fetches notion-research-documentation from GitHub repository davila7/claude-code-templates and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/notion-research-documentation

Reload or restart Cursor to activate notion-research-documentation. Access the skill through slash commands (e.g., /notion-research-documentation) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client with skill support
  • ›Clear understanding of task or problem to solve
  • ›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • ⚠Expecting perfect results without iteration
  • ⚠Not providing enough context in prompts
  • ⚠Using skill for tasks outside its intended scope
  • ⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • −Don't use without understanding skill limitations
  • −Don't skip validation of outputs
  • −Don't share sensitive information in prompts
  • −Don't expect skill to replace human judgment

💡 Pro Tips

  • ★Be specific about desired format and style
  • ★Ask for multiple options to choose from
  • ★Request explanations to understand reasoning
  • ★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.7★★★★★71 reviews
  • ★★★★★Hassan Desai· Dec 28, 2024

    I recommend notion-research-documentation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Liam Verma· Dec 28, 2024

    notion-research-documentation has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Aisha Desai· Dec 16, 2024

    notion-research-documentation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Amelia Bansal· Dec 16, 2024

    Keeps context tight: notion-research-documentation is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Neel Johnson· Dec 12, 2024

    notion-research-documentation reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Pratham Ware· Dec 4, 2024

    notion-research-documentation reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Hassan Iyer· Dec 4, 2024

    notion-research-documentation reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Daniel Thomas· Nov 19, 2024

    Keeps context tight: notion-research-documentation is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Amina Mehta· Nov 19, 2024

    notion-research-documentation reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Harper Menon· Nov 19, 2024

    Registry listing for notion-research-documentation matched our evaluation — installs cleanly and behaves as described in the markdown.

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