Agent skill

Implement Plan

by penpot in penpot/penpot

Implementation flow — execute a ready plan from the session context

MPL-2.0Auto-check passed

Install Implement Plan

skills CLI
$ npx skills add penpot/penpot --skill implement-plan -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install penpot/penpot implement-plan --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/implement-plan .claude/skills/implement-plan && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
implement-plan
GitHub stars
61k
Token cost
~1.7k tokens
SKILL.md length
1,056 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
MPL-2.0

At a glance

Implementation flow — execute a ready plan from the session context

  • Works in 4 steps: Read the plan first → Detect the flow (no questions) → Present the checklist and wait → …
  • SKILL.md covers Plan file handling, When to use, 1. Read the plan first and 2. Detect the flow (no…, plus 4 more sections
  • Calls git

What it does

Implement Plan is an agent skill from penpot/penpot. Implementation flow — execute a ready plan from the session context

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Penpot: The open-source design platform for Product teams that need scalable collaboration. The licence is MPL-2.0.

Example prompts

  • “/implement-plan”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Read the plan first
  2. Detect the flow (no questions)
  3. Present the checklist and wait
  4. Execute the plan

What it can do on your machine

Read from SKILL.md and the folder at commit fc8a126. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Implement Plan loads about 1.7k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 1,056 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from penpot/penpot at commit fc8a126, republished under its MPL-2.0 licence (© penpot). 1,056 words, ~1,713 tokens.

Download SKILL.mdSave it as .claude/skills/implement-plan/SKILL.md (or your agent's skills folder).
name
implement-plan
description
Implementation flow — execute a ready plan from the session context
slash
true

Implement Plan

This flow is run once a plan is ready (for example, from plan mode). Execute the plan already prepared in the current session context. It never pushes — the user pushes.

By default it ends with exactly one commit. When the user asks for it ("step by step"), it commits once per task instead and waits for the user's confirmation after each one (see Execution modes).

Plan file handling

Plan files are local workflow artifacts. They must never be staged or committed, even when .gitignore already excludes them. Never use git add -f, change ignore rules, or otherwise force a plan file into a commit. Close and update the plan when this flow requires it, but leave it in the local working tree.

When to use

  • The user asks to implement or execute a plan, in any phrasing: "implement the plan", "execute it", "go build it" — or runs /implement-plan.
  • A ready, reviewed plan is in the session context or a plan file path was given (typically after /make-a-plan or /review-plan).

Do not use it to produce plans — that is the make-a-plan flow.

1. Read the plan first

Identify the plan to execute — from the file path the user gave, the arguments, or the session context. Read it completely. Read the required memories before writing any code: mem:critical-info and the core memory of every module the plan touches, plus the deeper memories they reference (AGENTS.md governs this).

2. Detect the flow (no questions)

Inspect the current branch with git rev-parse --abbrev-ref HEAD, pick the mode, and announce it in one line before presenting anything. Detection is read-only: nothing is created until the user confirms (step 3).

  • On a base branch (main, develop, staging) → standalone mode: a new GitHub issue and a branch issue-NNNN will be created after the user's confirmation.
  • On any other branch (a feature branch, typically issue-NNNN) → continue mode: the implementation continues on the current branch. No issue or branch is created. The branch name provides the issue reference when it follows the issue-NNNN pattern.

Arguments override detection: standalone, continue, direct (no branch / direct commit), no issue / without issue, or an explicit base such as from origin/develop.

Direct mode (direct, no branch, direct commit): no issue and no branch — the implementation and the commit land on the current branch as it is, even when it is a base branch. Best for small or tooling-only changes the user wants committed in place.

Standalone while already on a feature branch: stop and explain that this would stack branches. Ask the user to re-run with an explicit base, for example from origin/develop — then branch from that base instead of HEAD.

3. Present the checklist and wait

Before touching the repository, show the user the full picture:

  • The flow: whether the GitHub issue and the branch will be created (standalone mode — give the planned branch name, issue-NNNN or plan-<slug>), whether you continue on the current branch (continue mode — name it), or whether everything lands on the current branch as it is (direct mode — name it, and say so when it is a base branch).
  • The execution style: batch or step-by-step (see Execution modes).
  • A checklist (todolist) of the plan's tasks, in order.

Then WAIT for the user's explicit confirmation. Do not start until you have it. If the plan has no discrete tasks, ask the user how to split it, or propose running it as a single change.

4. Execute the plan

Standalone setup, after the confirmation: create the issue with the create-issue skill, following the Creating Issues from Draft Body flow in mem:workflow/creating-issues. Derive the issue title and body from the plan, capture the new issue's number — call it NNNN — and create the branch from the current HEAD:

git checkout -b issue-NNNN

If the arguments say no issue / without issue, skip the issue and create a branch named plan-<slug> instead, where <slug> is the plan title, lowercase and hyphen-separated.

If the arguments say direct / no branch / direct commit, skip the issue and the branch: implement and commit on the current branch as it is. If it is a base branch, the checklist presentation already said so — no further confirmation is needed.

Show full SKILL.md (370 more words)Show less
Batch mode (default)

Implement every task in one go. Work methodically, keeping changes focused on what the issue requires. Respect the plan's proposed parallelization when it applies.

When the implementation is complete, close the plan file first: flip its Status to done and append one UTC ISO 8601 line to its Review Log with the issue URL when one exists (standalone mode, e.g. https://github.com/penpot/penpot/issues/NNNN); in continue/direct mode with no issue, just done with no invented identifier. Never record commit hashes. Leave the closed plan file local and uncommitted. Then load the create-commit skill and follow its workflow to commit only the implementation, tests, memory, and documentation changes. Before committing, verify that the staged file list does not contain the plan file. Provide a brief summary of what was implemented and why, the issue reference (issue-NNNN) when there is one, and the model name you are running as so the AI-assisted-by trailer is set correctly.

Step-by-step mode (on request)

When the user asks for it — "step by step", "task by task", "one commit per task" — loop one task at a time:

  • Execute exactly ONE task.
  • Commit it now: load the create-commit skill and follow it — one commit per task, never two tasks in one commit. Same inputs as always: what and why, the issue reference, your model name.
  • After the final task commit, close the plan file (Status: done, one Review Log line with the issue URL when one exists). Leave it local and uncommitted; never amend the task commit to include it.
  • Show the user the result (what changed, files touched, how it was verified).
  • WAIT for the user's confirmation before starting the next task.

Never batch in this mode: no two tasks in one commit, and no new task before the user confirms. If a task turns out much bigger than planned, stop and ask the user before splitting it.

When you are done

End by suggesting the next steps (suggestions, not a required pipeline — any instruction from me overrides them):

  • /review-code — to review the changes just committed; it routes to /make-a-plan by itself if the findings need one.
  • /create-pr — when the task is done and the branch is ready to merge.

User input, overrides and additional context

$ARGUMENTS

© penpot, MPL-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/implement-plan of penpot/penpot.

Open the folder on GitHubat commit fc8a126

Compare with similar skills

Implement Plan next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Implement Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implement Plan this skillpenpot/penpot61k—~1.7kAutomated safety check: PassMPL-2.0
Implementsickn33/agentic-awesome-skills47k5 repos~306Automated safety check: PassMIT
Executealirezarezvani/claude-skills28k—~831Automated safety check: PassMIT
Implementcodewhale-hq/Codewhale41k—~190Automated safety check: PassMIT
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Incremental Implementationaddyosmani/agent-skills102k1 repos~2.3kAutomated safety check: PassMIT

Similar skills

  • Implement

    sickn33/agentic-awesome-skills

    Implement a piece of work based on a PRD or set of issues. An agent skill from sickn33/agentic-awesome-skills.

    47k GitHub starsUsed in 5 repos~306 tokens
    Product & Project ManagementAuto-check passed
  • Execute

    alirezarezvani/claude-skills

    /cs:execute <decision — Generate a 90-day execution plan with weekly milestones, DRIs, and check-in cadence from an approved decision.

    28k GitHub stars~831 tokensUpdated 1 mo ago
    Product & Project ManagementAuto-check passed
  • Implement

    codewhale-hq/Codewhale

    Carry an authorized, defined request or approved plan through scoped edits and proportionate verification.

    41k GitHub stars~190 tokensUpdated today
    Auto-check passed
  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    296k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed
  • Incremental Implementation

    addyosmani/agent-skills

    Delivers a change in thin vertical slices, each implemented, tested, verified and committed before the next, using vertical, contract-first or risk-first slicing.

    102k GitHub starsUsed in 1 repo~2.3k tokens
    Agent WorkflowsAuto-check passed
  • Implement

    bestofjs/bestofjs

    Implement a piece of work based on a spec or set of tickets.

    3.1k GitHub starsUsed in 18 repos~109 tokens
    Auto-check passed

More from penpot/penpot

All 24 skills in this repo
  • Hardens code against vulnerabilities. An agent skill from penpot/penpot.

    61k GitHub starsUsed in 6 repos~4.7k tokens
    Auto-check: notes
  • Create PR

    penpot/penpot

    PR flow — open a new PR for the current task branch (validates base branch, commits, issue and push state) or update an existing PR's title or description to match Penpot conventions.

    61k GitHub stars~1.4k tokensUpdated today
    Auto-check passed
  • Bat Cat

    penpot/penpot

    A cat clone with syntax highlighting, line numbers, and Git integration - a modern replacement for cat.

    61k GitHub starsUsed in 2 repos~1.1k tokens
    Auto-check passed
  • Local CI

    penpot/penpot

    Run local CI-style checks with ./scripts/ci (lint, tests, format) per monorepo module.

    61k GitHub stars~822 tokensUpdated today
    Auto-check passed
  • Ste

    penpot/penpot

    Write or rewrite text in ASD-STE100 Simplified Technical English.

    61k GitHub stars~1.5k tokensUpdated today
    Auto-check passed
  • Code review criteria — the five review axes, core principles, severity format, and verdict for reviewing code changes.

    61k GitHub stars~3.6k tokensUpdated today
    Auto-check passed

Questions about Implement Plan

What does Implement Plan do?

Implementation flow — execute a ready plan from the session context. Implement Plan is an agent skill from penpot/penpot.

How do I install Implement Plan in Claude Code?

Run `npx skills add penpot/penpot --skill implement-plan -a claude-code`. Or copy the skill folder (.agents/skills/implement-plan in penpot/penpot) into .claude/skills/implement-plan in your project. Claude Code loads it when a task matches its description.

How do I install Implement Plan in Codex?

Run `npx skills add penpot/penpot --skill implement-plan -a codex`. Or copy the skill folder (.agents/skills/implement-plan in penpot/penpot) into .agents/skills/implement-plan in your project. Codex loads it when a task matches its description.

Can I use Implement Plan in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add penpot/penpot --skill implement-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implement-plan, .gemini/skills/implement-plan, .github/skills/implement-plan and .opencode/skills/implement-plan in your project.

What does Implement Plan need to run?

Going by SKILL.md and its folder, Implement Plan needs the command-line tools its instructions call (git).

Does Implement Plan access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Implement Plan safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Implement Plan use?

Implement Plan is published under the MPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Implement Plan use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Implement Plan?

Skills that share tags, products or a category with Implement Plan: Implement (sickn33/agentic-awesome-skills, 47k stars), Execute (alirezarezvani/claude-skills, 28k stars), Implement (codewhale-hq/Codewhale, 41k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implement Plan?

penpot (a GitHub organization) maintains it in penpot/penpot, which has 60,770 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 7, 2026.

Source: penpot/penpot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.