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Notion Spec To Implementation

OpenAIOfficialCreated by Notion Labs, IncDistributed by OpenAI

  • Skill
  • Workflow
  • Business and productivity
  • MIT
  • No issues found

From the author

Turn Notion specs into implementation plans, tasks, and progress tracking; use when implementing PRDs/feature specs and creating Notion plans + tasks from them.
— the description by Notion Labs, Inc

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a systematic approach to bridging the gap between high-level product requirements and execution. It guides users through locating and parsing Notion specifications, determining the appropriate planning depth, generating structured implementation plans, and creating linked tasks within a Notion database. The workflow emphasizes maintaining traceability between the original spec, the implementation plan, and individual tasks, while providing a framework for ongoing progress tracking and status updates.

What it does

  • Searches and retrieves product specifications from Notion.
  • Parses requirements, constraints, and acceptance criteria from raw documentation.
  • Generates structured implementation plans based on project complexity.
  • Creates actionable, sized tasks within a Notion database.
  • Establishes bidirectional links between specs, plans, and tasks.
  • Provides templates for progress tracking and milestone reporting.

When to use it

  • When you have a PRD or feature spec in Notion and need to start development.
  • When you need to break down a large project into manageable, tracked tasks.
  • When you want to ensure your implementation plan remains synchronized with the original spec.
  • When you need a consistent format for reporting progress and milestones.

Advantages

  • Reduces ambiguity by forcing a structured parsing of requirements.
  • Ensures project traceability by linking all artifacts.
  • Standardizes the creation of implementation plans and tasks.
  • Facilitates better progress visibility through defined tracking cadences.

Usage examples

“I have a new feature spec in Notion titled 'User Authentication Flow'. Can you turn this into an implementation plan and create the necessary tasks?”
The agent will search for the spec, parse the requirements, create a new implementation plan page, and generate linked tasks in your task database.
“We are starting a database migration. Use the 'Database Migration' spec to create a multi-phase plan.”
The agent will fetch the migration spec and generate a standard implementation plan with defined phases and dependencies.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/openai/notion-spec-to-implementation-zohc/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip notion-spec-to-implementation.zip -d .agents/skills

Documentation by Notion Labs, Inc

Spec to Implementation

Convert a Notion spec into linked implementation plans, tasks, and ongoing status updates.

Quick start

  1. Locate the spec with Notion:notion-search, then fetch it with Notion:notion-fetch.

  2. Parse requirements and ambiguities using reference/spec-parsing.md.

  3. Create a plan page with Notion:notion-create-pages (pick a template: quick vs. full).

  4. Find the task database, confirm schema, then create tasks with Notion:notion-create-pages.

  5. Link spec ↔ plan ↔ tasks; keep status current 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) Locate and read the spec
  • Search first (Notion:notion-search); if multiple hits, ask the user which to use.

  • Fetch the page (Notion:notion-fetch) and scan for requirements, acceptance criteria, constraints, and priorities. See reference/spec-parsing.md for extraction patterns.

  • Capture gaps/assumptions in a clarifications block before proceeding.

2) Choose plan depth
  • Simple change → use reference/quick-implementation-plan.md.

  • Multi-phase feature/migration → use reference/standard-implementation-plan.md.

  • Create the plan via Notion:notion-create-pages, include: overview, linked spec, requirements summary, phases, dependencies/risks, and success criteria. Link back to the spec.

3) Create tasks
  • Find the task database (Notion:notion-search → Notion:notion-fetch to confirm the data source and required properties). Patterns in reference/task-creation.md.

  • Size tasks to 1–2 days. Use reference/task-creation-template.md for content (context, objective, acceptance criteria, dependencies, resources).

  • Set properties: title/action verb, status, priority, relations to spec + plan, due date/story points/assignee if provided.

  • Create pages with Notion:notion-create-pages using the database’s data_source_id.

  • Plan links to spec; tasks link to both plan and spec.

  • Optionally update the spec with a short “Implementation” section pointing to the plan and tasks using Notion:notion-update-page.

5) Track progress
  • Use the cadence in reference/progress-tracking.md.

  • Post updates with reference/progress-update-template.md; close phases with reference/milestone-summary-template.md.

  • Keep checklists and status fields in plan/tasks in sync; note blockers and decisions.

References and examples

  • reference/ — parsing patterns, plan/task templates, progress cadence (e.g., spec-parsing.md, standard-implementation-plan.md, task-creation.md, progress-tracking.md).

  • examples/ — end-to-end walkthroughs (e.g., ui-component.md, api-feature.md, database-migration.md).

Files

evaluations/README.md

Spec to Implementation Skill Evaluations

Evaluation scenarios for testing the Spec to Implementation skill across different Codex models.

Purpose

These evaluations ensure the Spec to Implementation skill:

  • Finds and parses specification pages accurately

  • Breaks down specs into actionable implementation plans

  • Creates tasks that Codex can implement with clear acceptance criteria

  • Tracks progress and updates implementation status

  • Works consistently across Haiku, Sonnet, and Opus

Evaluation Files

basic-spec-implementation.json

Tests basic workflow of turning a spec into an implementation plan.

Scenario: Implement user authentication feature from spec
Key Behaviors:

  • Searches for and finds the authentication spec page

  • Fetches spec and extracts requirements

  • Parses requirements into phases (setup, core features, polish)

  • Creates implementation plan page linked to original spec

  • Breaks down into clear phases with deliverables

  • Includes timeline and dependencies

spec-to-tasks.json

Tests creating concrete tasks from a specification in a task database.

Scenario: Create tasks from API redesign spec
Key Behaviors:

  • Finds spec page in Notion

  • Extracts specific requirements and acceptance criteria

  • Searches for or creates task database

  • Fetches task database schema

  • Creates multiple tasks with proper properties (Status, Priority, Sprint, etc.)

  • Each task has clear title, description, and acceptance criteria

  • Tasks have dependencies where appropriate

  • Links all tasks back to original spec

Running Evaluations

  1. Enable the spec-to-implementation skill

  2. Submit the query from the evaluation file

  3. Verify the skill finds the spec page via search

  4. Check that requirements are accurately parsed

  5. Confirm implementation plan is created with phases

  6. Verify tasks have clear, implementable acceptance criteria

  7. Check that tasks link back to spec

  8. Test with Haiku, Sonnet, and Opus

Expected Skill Behaviors

Spec to Implementation evaluations should verify:

Spec Discovery & Parsing
  • Searches Notion for specification pages

  • Fetches complete spec content

  • Extracts all requirements accurately

  • Identifies technical dependencies

  • Understands acceptance criteria

  • Notes any ambiguities or missing details

Implementation Planning
  • Creates implementation plan page

  • Breaks work into logical phases:

    • Phase 1: Foundation/Setup

    • Phase 2: Core Implementation

    • Phase 3: Testing & Polish

  • Includes timeline estimates

  • Identifies dependencies between phases

  • Links back to original spec

Task Creation
  • Finds or identifies task database

  • Fetches database schema for property names

  • Creates tasks with correct properties

  • Each task has:

    • Clear, specific title

    • Context and description

    • Acceptance criteria (checklist format)

    • Appropriate priority and status

    • Link to spec page

  • Tasks are right-sized (not too big, not too small)

  • Dependencies between tasks are noted

Progress Tracking
  • Implementation plan includes progress markers

  • Tasks can be updated as work progresses

  • Status updates link to completed work

  • Blockers or changes are noted

Creating New Evaluations

When adding Spec to Implementation evaluations:

  1. Test different spec types - Features, migrations, refactors, API changes, UI components

  2. Vary complexity - Simple 1-phase vs. complex multi-phase implementations

  3. Test task granularity - Does it create appropriately-sized tasks?

  4. Include edge cases - Vague specs, conflicting requirements, missing details

  5. Test database integration - Creating tasks in existing task databases with various schemas

  6. Progress tracking - Updating implementation plans as tasks complete

Example Success Criteria

Good (specific, testable):

  • "Searches Notion for spec page using feature name"

  • "Creates implementation plan with 3 phases: Setup → Core → Polish"

  • "Creates 5-8 tasks in task database with properties: Task (title), Status, Priority, Sprint"

  • "Each task has acceptance criteria in checklist format (- [ ] ...)"

  • "Tasks link back to spec using mention-page tag"

  • "Task titles are specific and actionable (e.g., 'Create login API endpoint' not 'Authentication')"

Bad (vague, untestable):

  • "Creates good implementation plan"

  • "Tasks are well-structured"

  • "Breaks down spec appropriately"

  • "Links to spec"

Requirements and compatibility

Written for: OpenAI Codex

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

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Attribution and licence

Created by
Notion Labs, Inc
Publisher
OpenAI (Official)
Distributed by
OpenAI
Source
openai/skills · skills/.curated/notion-spec-to-implementation · commit 49f948f
Licence
MIT License (redistribution allowed)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Notion Labs, Inc or OpenAI.

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