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.
Implementation flow — execute a ready plan from the session context
$ npx skills add penpot/penpot --skill implement-plan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install penpot/penpot implement-plan --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "implement-plan" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/implement-plan into .claude/skills/implement-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implement-plan", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/penpot/penpot/tree/develop/.agents/skills/implement-planType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add penpot/penpot --skill implement-plan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install penpot/penpot implement-plan --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/implement-plan .agents/skills/implement-plan && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "implement-plan" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/implement-plan into .agents/skills/implement-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implement-plan", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add penpot/penpot --skill implement-plan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install penpot/penpot implement-plan --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/implement-plan .cursor/skills/implement-plan && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "implement-plan" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/implement-plan into .cursor/skills/implement-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implement-plan", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/penpot/penpot.git --path .agents/skills/implement-plan--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add penpot/penpot --skill implement-plan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install penpot/penpot implement-plan --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/implement-plan .gemini/skills/implement-plan && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "implement-plan" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/implement-plan into .gemini/skills/implement-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implement-plan", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install penpot/penpot implement-planInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add penpot/penpot --skill implement-plan -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/implement-plan .github/skills/implement-plan && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "implement-plan" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/implement-plan into .github/skills/implement-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implement-plan", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add penpot/penpot --skill implement-plan -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install penpot/penpot implement-plan --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/implement-plan .opencode/skills/implement-plan && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "implement-plan" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/implement-plan into .opencode/skills/implement-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implement-plan", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
implement-planImplementation flow — execute a ready plan from the session context
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.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit fc8a126. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from penpot/penpot at commit fc8a126, republished under its MPL-2.0 licence (© penpot). 1,056 words, ~1,713 tokens.
.claude/skills/implement-plan/SKILL.md (or your agent's skills folder).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 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.
/implement-plan./make-a-plan or /review-plan).Do not use it to produce plans — that is the make-a-plan flow.
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).
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).
main, develop, staging) → standalone mode:
a new GitHub issue and a branch issue-NNNN will be created after the
user's confirmation.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.
Before touching the repository, show the user the full picture:
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).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.
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-NNNNIf 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.
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.
When the user asks for it — "step by step", "task by task", "one commit per task" — loop one task at a time:
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.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.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.
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.$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
Just SKILL.md in .agents/skills/implement-plan of penpot/penpot.
Open the folder on GitHubat commit fc8a126
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Implement Plan this skillpenpot/penpot | 61k | — | ~1.7k | Automated safety check: Pass | MPL-2.0 | |
| Implementsickn33/agentic-awesome-skills | 47k | 5 repos | ~306 | Automated safety check: Pass | MIT | |
| Executealirezarezvani/claude-skills | 28k | — | ~831 | Automated safety check: Pass | MIT | |
| Implementcodewhale-hq/Codewhale | 41k | — | ~190 | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 296k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Incremental Implementationaddyosmani/agent-skills | 102k | 1 repos | ~2.3k | Automated safety check: Pass | MIT |
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.
alirezarezvani/claude-skills
/cs:execute <decision — Generate a 90-day execution plan with weekly milestones, DRIs, and check-in cadence from an approved decision.
codewhale-hq/Codewhale
Carry an authorized, defined request or approved plan through scoped edits and proportionate verification.
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.
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.
bestofjs/bestofjs
Implement a piece of work based on a spec or set of tickets.
penpot/penpot
Hardens code against vulnerabilities. An agent skill from penpot/penpot.
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.
penpot/penpot
A cat clone with syntax highlighting, line numbers, and Git integration - a modern replacement for cat.
penpot/penpot
Run local CI-style checks with ./scripts/ci (lint, tests, format) per monorepo module.
penpot/penpot
Write or rewrite text in ASD-STE100 Simplified Technical English.
penpot/penpot
Code review criteria — the five review axes, core principles, severity format, and verdict for reviewing code changes.
Implementation flow — execute a ready plan from the session context. Implement Plan is an agent skill from penpot/penpot.
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.
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.
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.
Going by SKILL.md and its folder, Implement Plan needs the command-line tools its instructions call (git).
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.
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.
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.
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.
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.
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.