Best for
- Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.
openai/skills/skills/.curated/notion-research-documentation/SKILL.md
Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.
Decision brief
Pull relevant Notion pages, synthesize findings, and publish clear briefs or reports (with citations and links to sources).
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/openai/skills --skill "skills/.curated/notion-research-documentation"Inspect the Agent Skill "notion-research-documentation" from https://github.com/openai/skills/blob/49f948faa9258a0c61caceaf225e179651397431/skills/.curated/notion-research-documentation/SKILL.md at commit 49f948faa9258a0c61caceaf225e179651397431. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
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) usi…
1. Add the Notion MCP: - codex mcp add notion --url https://mcp.notion.com/mcp 2. Enable remote MCP client: - Set [features].rmcpclient = true in config.toml or run codex --enable rmcpclient 3. Log in with OAuth: - codex mcp login notion
1. Add the Notion MCP: - codex mcp add notion --url https://mcp.notion.com/mcp 2. Enable remote MCP client: - Set [features].rmcpclient = true in config.toml or run codex --enable rmcpclient 3. Log in with OAuth: - codex mcp login notion
Search first (Notion:notion-search); refine queries, and ask the user to confirm if multiple results appear.
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 65/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 24,265 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Pull relevant Notion pages, synthesize findings, and publish clear briefs or reports (with citations and links to sources).
Notion:notion-search using targeted queries; confirm scope with the user.Notion:notion-fetch; note key sections and capture citations (reference/citations.md).reference/format-selection-guide.md.Notion:notion-create-pages using the matching template (quick, summary, comparison, comprehensive).Notion:notion-update-page.codex mcp add notion --url https://mcp.notion.com/mcp[features].rmcp_client = true in config.toml or run codex --enable rmcp_clientcodex mcp login notionAfter 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.
Notion:notion-search); refine queries, and ask the user to confirm if multiple results appear.Notion:notion-fetch), skim for facts, metrics, claims, constraints, and dates.reference/format-selection-guide.md for when to pick each.reference/ (brief, summary, comparison, comprehensive) and adapt it.Notion:notion-create-pages; include title, summary, key findings, supporting evidence, and recommendations/next steps when relevant.Notion:notion-update-page when updating.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).Alternatives
K-Dense-AI/scientific-agent-skills
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
K-Dense-AI/scientific-agent-skills
Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown + mermaid), 24 diagram type references, and 9 document templates.
github/awesome-copilot
Two related workflows for a locally-cloned codebase, in one skill. Documentation mode produces a single, comprehensive, verifiable architecture document primarily by reading files on disk (local-first) — use it whenever the user wants to understand, map, document, research, or onboard onto a codebase ("research this repo", "write up the architecture", "do an architecture deep dive", "document how this codebase works", "map the system design", "create an onboarding doc"). Modernization mode gener
MoizIbnYousaf/marketing-cli
Build applications and agents with Exa's API Platform: search, contents, answer, context, Agent API, monitors, websets, OpenAI-compatible endpoints, and exa-py / exa-js. Use when choosing Exa endpoints, writing Exa API calls, integrating semantic web search or research into products, or debugging Exa request shapes. Load references/ on demand for endpoint details.