Agent skill

notion-meeting-intelligence

Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.

Stars 0
Forks 0

Install this agent skill to your Project

npx add-skill https://github.com/cuba6112/skillfactory/tree/main/.claude/skills/notion-meeting-intelligence

Metadata

Additional technical details for this skill

short description
Prep meetings with Notion context and tailored agendas

SKILL.md

Meeting Intelligence

Prep meetings by pulling Notion context, tailoring agendas/pre-reads, and enriching with Codex research.

Quick start

  1. Confirm meeting goal, attendees, date/time, and decisions needed.
  2. Gather context: search with Notion:notion-search, then fetch with Notion:notion-fetch (prior notes, specs, OKRs, decisions).
  3. Pick the right template via reference/template-selection-guide.md (status, decision, planning, retro, 1:1, brainstorming).
  4. Draft agenda/pre-read in Notion with Notion:notion-create-pages, embedding source links and owner/timeboxes.
  5. Enrich with Codex research (industry insights, benchmarks, risks) and update the page with Notion:notion-update-page as plans change.

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 inputs

  • Ask for objective, desired outcomes/decisions, attendees, duration, date/time, and prior materials.
  • Search Notion for relevant docs, past notes, specs, and action items (Notion:notion-search), then fetch key pages (Notion:notion-fetch).
  • Capture blockers/risks and open questions up front.

2) Choose format

  • Status/update → status template.
  • Decision/approval → decision template.
  • Planning (sprint/project) → planning template.
  • Retro/feedback → retrospective template.
  • 1:1 → one-on-one template.
  • Ideation → brainstorming template.
  • Use reference/template-selection-guide.md to confirm.

3) Build the agenda/pre-read

  • Start from the chosen template in reference/ and adapt sections (context, goals, agenda, owner/time per item, decisions, risks, prep asks).
  • Include links to pulled Notion pages and any required pre-reading.
  • Assign owners for each agenda item; call out timeboxes and expected outputs.

4) Enrich with research

  • Add concise Codex research where helpful: market/industry facts, benchmarks, risks, best practices.
  • Keep claims cited with source links; separate fact from opinion.

5) Finalize and share

  • Add next steps and owners for follow-ups.
  • If tasks arise, create/link tasks in the relevant Notion database.
  • Update the page via Notion:notion-update-page when details change; keep a brief changelog if multiple edits.

References and examples

  • reference/ — template picker and meeting templates (e.g., template-selection-guide.md, status-update-template.md, decision-meeting-template.md, sprint-planning-template.md, one-on-one-template.md, retrospective-template.md, brainstorming-template.md).
  • examples/ — end-to-end meeting preps (e.g., executive-review.md, project-decision.md, sprint-planning.md, customer-meeting.md).

Expand your agent's capabilities with these related and highly-rated skills.

cuba6112/skillfactory

prompt-engineering

Comprehensive prompt engineering techniques for Claude models. Use this skill when crafting, optimizing, or debugging prompts for Claude API, Claude Code, or any Claude-powered application. Covers system prompts, role prompting, multishot examples, chain of thought, XML structuring, long context handling, extended thinking, prompt chaining, Claude 4.x-specific best practices, and agentic orchestration including subagents, agent loops, skills, MCP integration, and multi-agent workflows.

0 0
Explore
cuba6112/skillfactory

adk-rag-agent

Build RAG (Retrieval-Augmented Generation) agents with Google ADK and Vertex AI RAG Engine. Use when implementing document Q&A, knowledge base search, or citation-backed responses. Covers VertexAiRagRetrieval tool, corpus setup, and citation formatting.

0 0
Explore
cuba6112/skillfactory

headless-cli-agents

Build agentic systems using Claude CLI in headless mode or the Claude Agent SDK. Use when building automation pipelines, CI/CD integrations, multi-agent orchestration, or programmatic Claude interactions. Covers CLI flags (-p, --output-format), session management (--resume, --continue), Python SDK (claude-agent-sdk), custom tools, and agent loop patterns.

0 0
Explore
cuba6112/skillfactory

notion-knowledge-capture

Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.

0 0
Explore
cuba6112/skillfactory

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

0 0
Explore
cuba6112/skillfactory

gh-fix-ci

Inspect GitHub PR checks with gh, pull failing GitHub Actions logs, summarize failure context, then create a fix plan and implement after user approval. Use when a user asks to debug or fix failing PR CI/CD checks on GitHub Actions and wants a plan + code changes; for external checks (e.g., Buildkite), only report the details URL and mark them out of scope.

0 0
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results