Notion Spec To Implementation
JetBrainsOfficialCreated by OpenAIDistributed by JetBrains
- Skill
- Workflow
- Business and productivity
- MIT
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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 the agent through locating and parsing Notion specifications, generating structured implementation plans, creating granular tasks within a database, and maintaining ongoing progress tracking. By standardizing the translation of PRDs into project management artifacts, it ensures consistency in documentation, task sizing, and status reporting.
What it does
- Searches and retrieves product specifications from Notion.
- Parses requirements, constraints, and acceptance criteria from raw specs.
- Generates structured implementation plans based on project complexity.
- Creates linked tasks in Notion databases with defined properties and templates.
- Establishes bidirectional links between specs, plans, and individual tasks.
- Provides templates for progress updates and milestone summaries.
When to use it
- When you need to turn a new feature spec into a set of actionable development tasks.
- When managing complex migrations or multi-phase feature rollouts.
- When you need to ensure project documentation remains synchronized with task progress.
- When you need to establish a consistent cadence for tracking project milestones.
Advantages
- Reduces ambiguity by forcing a structured parsing of requirements.
- Ensures all implementation artifacts are properly linked for traceability.
- Standardizes task creation and sizing across different projects.
- Maintains clear visibility into project status and blockers.
Usage examples
- “Create an implementation plan and tasks for the 'User Auth' spec found in Notion.”
- The agent searches for the spec, parses the requirements, creates a new implementation plan page, and populates the task database with linked items.
- “Update the progress for the current database migration project.”
- The agent reviews the linked tasks, updates status fields, and generates a milestone summary based on the progress tracking template.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/jetbrains/notion-spec-to-implementation/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 OpenAI
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 AutoGineer983 B
- LICENSE.txt1.0 KiB
- SKILL.md3.6 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
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
Enable the
spec-to-implementationskillSubmit the query from the evaluation file
Verify the skill finds the spec page via search
Check that requirements are accurately parsed
Confirm implementation plan is created with phases
Verify tasks have clear, implementable acceptance criteria
Check that tasks link back to spec
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:
Test different spec types - Features, migrations, refactors, API changes, UI components
Vary complexity - Simple 1-phase vs. complex multi-phase implementations
Test task granularity - Does it create appropriately-sized tasks?
Include edge cases - Vague specs, conflicting requirements, missing details
Test database integration - Creating tasks in existing task databases with various schemas
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
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
- OpenAI
- Publisher
- JetBrains (Official)
- Distributed by
- JetBrains
- Source
- JetBrains/skills · notion-spec-to-implementation · commit 3f53782
- Licence
- MIT License (redistribution allowed)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by OpenAI or JetBrains.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download notion-spec-to-implementation.zip