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What's inside
- Skill name
implement-spec- Description
- Implement the result of /to-spec and /to-tickets in code.
- License
- MIT
- Instructions
- 36 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
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 `implement-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.
From lithammer/ai, MIT.
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- 0.565score
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Create a draft or ready-for-review PR for the current branch.
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develop
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Implement a feature or fix from agreed requirements, then verify it and resolve an independent spec review.
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code-review
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Review changed code for correctness bugs and instruction-file violations, verify each candidate, and report the survivors without editing.
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review-docs
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Reviews doc, docstring, and comment diffs for AI-like prose and for comments that no longer have a job.
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research-codebase
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Map how the code a ticket touches works today, then name the next step: develop, refactor, or grill-with-docs.
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refactor
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Find structural refactors that remove caller obligations, then implement the chosen change.
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nemesis
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Challenge a plan, design, or implementation one branch at a time.
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tdd
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Test-driven development.
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implement-review
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Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
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ask-matt
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Ask which skill or flow fits your situation.
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test-audit
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Find tests that do not earn their upkeep and silent regressions nothing guards, then apply the chosen changes.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 6, 2026 (23 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/lithammer/ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.565score
code-review
lithammer
Review changed code for correctness bugs and instruction-file violations, verify each candidate, and report the survivors without editing.
SkillAFreshness: AClaude Code +9 - 0.565score
create-pr
lithammer
Create a draft or ready-for-review PR for the current branch.
SkillAFreshness: AClaude Code +9 - 0.565score
develop
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Implement a feature or fix from agreed requirements, then verify it and resolve an independent spec review.
SkillAFreshness: AClaude Code +9 - 0.561score
simplify
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Clean up changed code without changing behavior — review it for reuse, simplification, efficiency, and altitude, then apply the fixes.
SkillAFreshness: AClaude Code +9 - 0.558score
review-docs
lithammer
Reviews doc, docstring, and comment diffs for AI-like prose and for comments that no longer have a job.
SkillAFreshness: AClaude Code +9 - 0.558score
nemesis
lithammer
Challenge a plan, design, or implementation one branch at a time.
SkillAFreshness: AClaude Code +9
Cite this page
implement-spec skill. Agent Mart. https://agentmart.dev/skills/lithammer-implement-spec (last updated 2026-10-24)