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notion-spec-to-implementation
Turn Notion specs into implementation plans, tasks, and progress tracking; use when implementing PRDs/feature specs and creating Notion plans + tasks from them.
Turn Notion specs into implementation plans, tasks, and progress tracking; use when implementing PRDs/feature specs and creating Notion plans + tasks from them.
| name | notion-spec-to-implementation |
| description | Turn Notion specs into implementation plans, tasks, and progress tracking; use when implementing PRDs/feature specs and creating Notion plans + tasks from them. |
| metadata | {"short-description":"Turn Notion specs into implementation plans, tasks, and progress tracking"} |
Convert a Notion spec into linked implementation plans, tasks, and ongoing status updates.
Notion:notion-search, then fetch it with Notion:notion-fetch.reference/spec-parsing.md.Notion:notion-create-pages (pick a template: quick vs. full).Notion:notion-create-pages.Notion:notion-update-page.codex mcp add notion --url https://mcp.notion.com/mcp[features].rmcp_client = true in config.toml or run codex --enable rmcp_clientcodex mcp login notionAfter 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.
Notion:notion-search); if multiple hits, ask the user which to use.Notion:notion-fetch) and scan for requirements, acceptance criteria, constraints, and priorities. See reference/spec-parsing.md for extraction patterns.reference/quick-implementation-plan.md.reference/standard-implementation-plan.md.Notion:notion-create-pages, include: overview, linked spec, requirements summary, phases, dependencies/risks, and success criteria. Link back to the spec.Notion:notion-search → Notion:notion-fetch to confirm the data source and required properties). Patterns in reference/task-creation.md.reference/task-creation-template.md for content (context, objective, acceptance criteria, dependencies, resources).Notion:notion-create-pages using the database’s data_source_id.Notion:notion-update-page.reference/progress-tracking.md.reference/progress-update-template.md; close phases with reference/milestone-summary-template.md.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).Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.
Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.
Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.
Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).
Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.
Migrate supported instruction files, skills, agents, and MCP config into Codex project and global files.