Notion Spec To Implementation
OpenAIOfficialCreated by Notion Labs, IncDistributed by OpenAI
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- Workflow
- Business and productivity
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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
Download the skill as a ZIP:
https://autogineer.com/agent-skills/openai/notion-spec-to-implementation-zohc/downloadUnzip 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
Locate the spec with
Notion:notion-search, then fetch it withNotion:notion-fetch.Parse requirements and ambiguities using
reference/spec-parsing.md.Create a plan page with
Notion:notion-create-pages(pick a template: quick vs. full).Find the task database, confirm schema, then create tasks with
Notion:notion-create-pages.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:
Add the Notion MCP:
codex mcp add notion --url https://mcp.notion.com/mcp
Enable remote MCP client:
Set
[features].rmcp_client = trueinconfig.tomlor runcodex --enable rmcp_client
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. Seereference/spec-parsing.mdfor 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-fetchto confirm the data source and required properties). Patterns inreference/task-creation.md.Size tasks to 1–2 days. Use
reference/task-creation-template.mdfor 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-pagesusing the database’sdata_source_id.
4) Link artifacts
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 withreference/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
- ATTRIBUTION.mdAdded by AutoGineer1.0 KiB
- LICENSE.txt1.0 KiB
- SKILL.md3.4 KiB
- agents/openai.yaml524 B
- assets/notion-small.svg15.4 KiB
- assets/notion.png8.3 KiB
- evaluations/README.md4.3 KiB
- evaluations/basic-spec-implementation.json2.3 KiB
- evaluations/spec-to-tasks.json2.5 KiB
- examples/api-feature.md13.3 KiB
- examples/database-migration.md2.4 KiB
- examples/ui-component.md1.6 KiB
- reference/milestone-summary-template.md456 B
- reference/progress-tracking.md8.8 KiB
- reference/progress-update-template.md420 B
- reference/quick-implementation-plan.md480 B
- reference/spec-parsing.md6.8 KiB
- reference/standard-implementation-plan.md3.2 KiB
- reference/task-creation-template.md597 B
- reference/task-creation.md7.8 KiB
reference/spec-parsing.md
Specification Parsing
Finding the Specification
Before parsing, locate the spec page:
1. Search for spec:
Notion:notion-search
query: "[Feature Name] spec" or "[Feature Name] specification"
2. Handle results:
- If found → use page URL/ID
- If multiple → ask user which one
- If not found → ask user for URL/ID
Example:
Notion:notion-search
query: "User Profile API spec"
query_type: "internal"Reading Specifications
After finding the spec, fetch it with Notion:notion-fetch:
Read the full content
Identify key sections
Extract structured information
Note ambiguities or gaps
Notion:notion-fetch
id: "spec-page-id-from-search"Common Spec Structures
Requirements-Based Spec
# Feature Spec
## Overview
[Feature description]
## Requirements
### Functional
- REQ-1: [Requirement]
- REQ-2: [Requirement]
### Non-Functional
- PERF-1: [Performance requirement]
- SEC-1: [Security requirement]
## Acceptance Criteria
- AC-1: [Criterion]
- AC-2: [Criterion]Extract:
List of functional requirements
List of non-functional requirements
List of acceptance criteria
User Story Based Spec
# Feature Spec
## User Stories
### As a [user type]
I want [goal]
So that [benefit]
**Acceptance Criteria**:
- [Criterion]
- [Criterion]Extract:
User personas
Goals/capabilities needed
Acceptance criteria per story
Technical Design Doc
# Technical Design
## Problem Statement
[Problem description]
## Proposed Solution
[Solution approach]
## Architecture
[Architecture details]
## Implementation Plan
[Implementation approach]Extract:
Problem being solved
Proposed solution approach
Architectural decisions
Implementation guidance
Product Requirements Document (PRD)
# PRD: [Feature]
## Goals
[Business goals]
## User Needs
[User problems being solved]
## Features
[Feature list]
## Success Metrics
[How to measure success]Extract:
Business goals
User needs
Feature list
Success metrics
Extraction Strategies
Requirement Identification
Look for:
"Must", "Should", "Will" statements
Numbered requirements (REQ-1, etc.)
User stories (As a... I want...)
Acceptance criteria sections
Feature lists
Categorization
Group requirements by:
Functional: What the system does
User capabilities
System behaviors
Data operations
Non-Functional: How the system performs
Performance targets
Security requirements
Scalability needs
Availability requirements
Compliance requirements
Constraints: Limitations
Technical constraints
Business constraints
Timeline constraints
Priority Extraction
Identify priority indicators:
"Critical", "Must have", "P0"
"Important", "Should have", "P1"
"Nice to have", "Could have", "P2"
"Future", "Won't have", "P3"
Map to implementation phases based on priority.
Handling Ambiguity
Unclear Requirements
When requirement is ambiguous:
## Clarifications Needed
### [Requirement ID/Description]
**Current text**: "[Ambiguous requirement]"
**Question**: [What needs clarification]
**Impact**: [Why this matters for implementation]
**Assumed for now**: [Working assumption if any]Create clarification task or add comment to spec.
Missing Information
When critical info is missing:
## Missing Information
- **[Topic]**: Spec doesn't specify [what's missing]
- **Impact**: Blocks [affected tasks]
- **Action**: Need to [how to resolve]Conflicting Requirements
When requirements conflict:
## Conflicting Requirements
**Conflict**: REQ-1 says [X] but REQ-5 says [Y]
**Impact**: [Implementation impact]
**Resolution needed**: [Decision needed]Acceptance Criteria Parsing
Explicit Criteria
Direct acceptance criteria:
## Acceptance Criteria
- User can log in with email and password
- System sends confirmation email
- Session expires after 24 hoursConvert to checklist:
[ ] User can log in with email and password
[ ] System sends confirmation email
[ ] Session expires after 24 hours
Implicit Criteria
Derive from requirements:
Requirement: "Users can upload files up to 100MB"
Implied acceptance criteria:
- [ ] Files up to 100MB upload successfully
- [ ] Files over 100MB are rejected with error message
- [ ] Progress indicator shows during upload
- [ ] Upload can be cancelledTestable Criteria
Ensure criteria are testable:
❌ Not testable: "System is fast" ✓ Testable: "Page loads in < 2 seconds"
❌ Not testable: "Users like the interface" ✓ Testable: "90% of test users complete task successfully"
Technical Detail Extraction
Architecture Information
Extract:
System components
Data models
APIs/interfaces
Integration points
Technology choices
Design Decisions
Note:
Technology selections
Architecture patterns
Trade-offs made
Rationale provided
Implementation Guidance
Look for:
Suggested approach
Code examples
Library recommendations
Best practices mentioned
Dependency Identification
External Dependencies
From spec, identify:
Third-party services required
External APIs needed
Infrastructure requirements
Tool/library dependencies
Internal Dependencies
Identify:
Other features needed first
Shared components required
Team dependencies
Data dependencies
Timeline Dependencies
Note:
Hard deadlines
Milestone dependencies
Sequencing requirements
Scope Extraction
In Scope
What's explicitly included:
Features to build
Use cases to support
Users/personas to serve
Out of Scope
What's explicitly excluded:
Features deferred
Use cases not supported
Edge cases not handled
Assumptions
What's assumed:
Environment assumptions
User assumptions
System state assumptions
Risk Identification
Extract risk information:
Technical Risks
Unproven technology
Complex integration
Performance concerns
Scalability unknowns
Business Risks
Market timing
Resource availability
Dependency on others
Mitigation Strategies
Note any mitigation approaches mentioned in spec.
Spec Quality Assessment
Evaluate spec completeness:
✓ Good spec:
Clear requirements
Explicit acceptance criteria
Priorities defined
Risks identified
Technical approach outlined
⚠️ Incomplete spec:
Vague requirements
Missing acceptance criteria
Unclear priorities
No risk analysis
Technical details absent
Document gaps and create clarification tasks.
Parsing Checklist
Before creating implementation plan:
☐ All functional requirements identified ☐ Non-functional requirements noted ☐ Acceptance criteria extracted ☐ Dependencies identified ☐ Risks noted ☐ Ambiguities documented ☐ Technical approach understood ☐ Scope is clear ☐ Priorities are defined
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.
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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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