What you can do
- Translate a product specification into an implementation plan and trackable tasks.
Before you start
- Notion MCP with access to the specification and the destination task database.
Try your first task
After installing, send this example to your AI tool.
Use notion-spec-to-implementation. Break this feature spec into one- or two-day tasks with acceptance criteria and dependencies.
What to look for
A linked implementation plan, task breakdown, and progress fields.
Keep in mind
- Database schemas vary; review mappings and task creation before writing to Notion.
- Upstream Codex connector setup commands are version-specific; use your current host’s Notion connection settings.
Open source, traceable origins
Source, license, and package contents have been reviewed. End-to-end tasks have not been verified across agents; examples describe expected results.
Source reviewed:
FAQ
Agent Skills FAQ
Practical answers for choosing, installing, and using your first skill.
How do I install and start using Turn Notion specs into tasks?
Download the complete ZIP and keep the notion-spec-to-implementation folder and supporting files together. For a project installation, use .claude/skills/notion-spec-to-implementation/ in Claude Code or .agents/skills/notion-spec-to-implementation/ in Codex, with SKILL.md directly inside it. Complete this page's prerequisites, confirm discovery, and start with the example in the first-task card.
What do I need to use Turn Notion specs into tasks?
Notion MCP with access to the specification and the destination task database.
Can I use these Skills with Chinese requests?
You can ask an agent that supports Chinese to work with Chinese materials and produce Chinese output. Specify the desired language, audience, and terminology in your request. Results depend on the agent and skill, so check the output against your task requirements.
Who created this skill and which license is included?
The original author is Notion Labs, from openai/skills, with the MIT license included. AILesson preserves the files and source version, and GitHub Releases provides the download. Use the source card to inspect the pinned version and original files.
Have all Skills been tested, and what should I review?
The current collection has source, license, and package-content checks. It does not claim that every skill has completed real tasks in every agent. Review the files and prerequisites before enabling a skill, and check facts, citations, generated code, and proposed actions in its output. The examples describe expected results rather than verified demonstrations.
