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implement-spec

Turn a specification and its tickets into code by coordinating multiple agents around task dependencies. Combine their work on one integration branch, use test-driven development, review the result, and close tickets through the issue tracker’s workflow.

OriginalShow the original description

Implement the result of /to-spec and /to-tickets in code.

AI rating70/ 100See how to install

Good for

  • Implementing a specification with multiple tickets
  • Working on independent tickets in parallel
  • Combining implementations on one integration branch
  • Completing ticket reviews and closure

Overview

What it does

implement-spec turns a specification and its associated tickets into an implementation on one integration branch. It reads dependencies between tickets and assigns available work to multiple agents. Each agent implements its task in a separate working directory and branch, and completed work is integrated in turn. The process ends with a code review, fixes for the findings, and completion of the tickets.

When it helps

Use it when a feature spans multiple tickets or independent tasks can proceed in parallel. Agents coordinate through shared references to the specification, research notes, and commits.

Example requests

  • “Implement the specification and tickets created with /to-spec and /to-tickets.”
  • “Check the dependencies, implement independent work in parallel, and combine the results on an integration branch.”

Notes

You need a specification, associated tickets, and information about the issue tracking tool. If the tracker is not configured, the skill directs you to run /setup-matt-pocock-skills. It calls tdd during implementation and code-review for the final check. When the workflow completes work through PRs, it creates a draft PR and marks it ready for review once the work is complete.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Objective evaluation

AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.

Clear instructionsIs it clear when to use it and what it does?
AGoodIt explicitly aims to implement the specification and tickets, combine work on an integration branch, and complete the tickets.
Concrete stepsAre steps, inputs, outputs, and examples spelled out?
AGoodSteps cover dependency analysis, separate implementations, integration, review, and worktree cleanup.
SafetyAre sending data, deleting files, and running commands disclosed?
CCheck firstIt directs branch resets, merges, PR updates, and worktree cleanup without a confirmation procedure.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingIssue tracker configuration, tdd, and code-review are required, but their individual setup instructions are not included.

The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 19, 2026. Treat it as a guide and read the original before installing.

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Files included (2)

  • SKILL.md2.7 KB
  • agents/openai.yaml168 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

You have been provided a spec. This spec should have tickets associated with it, describing how to implement the spec.

The issue tracker should have been provided to you. If not, tell the user to run /setup-matt-pocock-skills.

The goal is the entire spec implemented on a single integration branch, with every ticket resolved the way the issue tracker closes work.

The tickets are not a list of steps. They are a task graph with blocking relationships between them. This means there is always a frontier of tickets which are ready to be grabbed.

Communication to and from subagents should be sparse. Communicate primarily through context pointers: to the spec, tickets, research notes, and previous commits. Don't duplicate information already available via pointers.

Implementer subagents should be run in the background where possible for maximum concurrency.

Steps

  1. Read the spec and tickets to understand the task graph.

  2. (optional) Use an exploration subagent to conduct any exploration required by the tickets - relevant codebase files or external documentation. Ensure the exploration subagent can save files - it should save its markdown notes in a directory outside the repo, accessible by all future subagents. This lets implementer subagents focus on implementation rather than exploration.

  3. Create the integration branch. If the issue tracker closes work through PRs, or the user asks for one, open a draft PR after the first merge in step 5 (a branch with no commits ahead of main can't open one), marked as closing the spec and tickets.

  4. Use implementer subagents to implement each ticket, each in its own worktree on its own branch. Each implementer subagent:

    • confirms its worktree is based on the integration branch before starting, and resets onto it if not;
    • calls the Skill tool with tdd to build the ticket;
    • merges the integration branch tip into its own branch before reporting done
  5. Once an implementer subagent completes, merge its work to the integration branch with a merger subagent.

  6. If this changes the frontier of available tickets, kick off more implementer subagents to work on the new tickets. This allows for maximum concurrency.

  7. Once all tickets are complete, call the Skill tool with code-review on the integration branch. Fix all issues raised by the code review in a single implementer subagent.

  8. If a draft PR exists, mark it ready for review. Otherwise, resolve each ticket the way the issue tracker closes work, and report the integration branch.

  9. Clean up all implementer subagent worktrees.

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