Stakeholder Summary
testdouble/han
Produces a plain-language stakeholder summary from an existing feature specification, for sharing with non-technical stakeholders before implementation kicks off.
Planning flow — research the subject of this session, produce an implementation plan with the planner skill, resolve open questions with the user in plain language, and save the final plan to…
$ npx skills add penpot/penpot --skill make-a-plan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install penpot/penpot make-a-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/make-a-plan .claude/skills/make-a-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 "make-a-plan" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/make-a-plan into .claude/skills/make-a-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "make-a-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/make-a-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 make-a-plan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install penpot/penpot make-a-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/make-a-plan .agents/skills/make-a-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 "make-a-plan" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/make-a-plan into .agents/skills/make-a-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "make-a-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 make-a-plan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install penpot/penpot make-a-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/make-a-plan .cursor/skills/make-a-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 "make-a-plan" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/make-a-plan into .cursor/skills/make-a-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "make-a-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/make-a-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 make-a-plan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install penpot/penpot make-a-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/make-a-plan .gemini/skills/make-a-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 "make-a-plan" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/make-a-plan into .gemini/skills/make-a-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "make-a-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 make-a-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 make-a-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/make-a-plan .github/skills/make-a-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 "make-a-plan" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/make-a-plan into .github/skills/make-a-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "make-a-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 make-a-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 make-a-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/make-a-plan .opencode/skills/make-a-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 "make-a-plan" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/make-a-plan into .opencode/skills/make-a-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "make-a-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.
make-a-planPlanning flow — research the subject of this session, produce an implementation plan with the planner skill, resolve open questions with the user in plain language, and save the final plan to…
Make A Plan is an agent skill from penpot/penpot. Planning flow — research the subject of this session, produce an implementation plan with the planner skill, resolve open questions with the user in plain language, and save the final plan to .agents/plans/.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Planning and Plain language and style rules. 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 first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit cb1118f. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Make A Plan loads about 1.6k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 932 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 cb1118f, republished under its MPL-2.0 licence (© penpot). 932 words, ~1,552 tokens.
.claude/skills/make-a-plan/SKILL.md (or your agent's skills folder).Act as a senior software engineer: research the subject of this session in depth and produce a well-grounded, actionable implementation plan.
If the running agent cannot write (for example, the plan agent), say so and stop — this skill needs the build agent to save the plan.
/make-a-plan.implement-plan iteration, e.g. after
/review-plan findings or user feedback), revise the saved plan file
in place. Once the plan has been implemented and reviewed (post
/review-code findings on committed work), write a new derived plan
file instead — never rewrite the executed plan. The planner skill
defines the derived naming (--review-NN, --task-NN).review-plan findings to a still-unimplemented
plan: apply the agreed changes, flip Status to reviewed, and
append one UTC ISO 8601 line to Review Log describing what changed.
This apply step is the only pre-implementation write to those fields —
review-plan itself stays read-only and never writes.Do not use it to execute a plan — that is the implement-plan flow.
planner skill. By default, research the
subject of this session and draft the plan yourself. If I ask for it (for
example, delegated in the user context), delegate to the general subagent
instead — the delegate must also follow the planner skill and receive all
the relevant session context (a review, user feedback, and so on)..agents/plans/ (create the directory if it does not
exist). This step is the flow's explicit authorization to write the plan
file — the only write allowed here. A fresh plan uses
.agents/plans/YYYY-MM-DD-<slug>.md with Status: draft and an
empty Review Log; a derived plan uses the parent
basename plus the planner suffix (--review-NN, --task-NN) in its
own new file, also starting as draft. If I later ask for changes to a still-unimplemented plan,
update the saved file directly.While this flow runs, act read-only: research with read-only tools only. Never edit source files, never run builds, tests, linters, or any command that modifies state, and never commit. The single allowed write is the plan file in step 3. This rule expires when I approve the plan or move on to another task; then you act as a normal build agent again.
When the plan contains open questions, do not show them as bare technical questions or assume that I understand the technical language or technical words used in the plan. For each question, first explain:
Only after that explanation, use the question tool to ask the decision with clear,
non-technical option labels. Put the recommended option first and mark it as
(Recommended). Group related questions when their context is shared, but do not ask a
question whose meaning has not already been explained.
If I say that I do not understand a question or its choices, do not treat my previous
answer as valid. Explain the concepts again from the high-level project goal, use a more
concrete example, explain the implications, and ask the question again with the
question tool. Repeat this until I can make an informed choice. If one answer creates
new design consequences or additional decisions, explain those consequences before
asking any new question.
Distinguish clearly between requirements already fixed by the roadmap or existing architecture and choices that actually require my input. Do not ask me to choose an implementation detail when the plan can resolve it safely without changing the public behavior. If there are no decisions that require my input, say so and present the summary.
IMPORTANT: Under no circumstances execute the plan. Wait for the user to review it after all possible questions have been answered. The final summary must explain the problem being solved, the proposed behavior, the main user-visible workflow, important constraints and risks, what is deliberately out of scope, and the path where the plan is saved. Never assume that a short list of task names is enough context. End the final response by suggesting the next steps, in this order:
/review-plan — to get a second opinion on the plan before executing it./implement-plan — to execute the plan from the current session context.These are suggestions, not a required pipeline — any instruction from me overrides them (for example, asking you to implement the plan directly).
$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/make-a-plan of penpot/penpot.
Open the folder on GitHubat commit cb1118f
Make A 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 |
|---|---|---|---|---|---|---|
| Make A Plan this skillpenpot/penpot | 61k | — | ~1.6k | Automated safety check: Pass | MPL-2.0 | |
| Stakeholder Summarytestdouble/han | 279 | — | ~6.3k | Automated safety check: Pass | MIT | |
| Audit Session Metricscentminmod/my-claude-code-setup | 2.7k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Ponylang Prose Reviewponylang/ponylang-website | 160 | — | ~2.9k | Automated safety check: Pass | BSD-2-Clause | |
| Inherit Legacy Styleaffaan-m/ECC | 275k | 1 repos | ~2.1k | Automated safety check: Notes | MIT | |
| Coco Loopcoco-research/coco | 482 | — | ~1.4k | Automated safety check: Pass | Proprietary |
testdouble/han
Produces a plain-language stakeholder summary from an existing feature specification, for sharing with non-technical stakeholders before implementation kicks off.
centminmod/my-claude-code-setup
Audit a session-metrics JSON export for token-usage waste and produce a plain-English findings report.
ponylang/ponylang-website
Ensemble review of ponylang blog and Last Week in Pony prose.
affaan-m/ECC
Prevent AI style drift on legacy projects by scanning the codebase for implicit conventions, resolving conflicts with the operator one at a time, and writing an enforceable .ai-style-rules.md…
coco-research/coco
Start a safe, governed autonomous loop from a plain-language goal.
hexiecs/talk-normal
Installs an always-on set of rules into your agent's workspace config that cuts filler, hedging and padded closings from its replies.
penpot/penpot
Hardens code against vulnerabilities. An agent skill from penpot/penpot.
penpot/penpot
A cat clone with syntax highlighting, line numbers, and Git integration - a modern replacement for cat.
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
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.
Categories
Planning flow — research the subject of this session, produce an implementation plan with the planner skill, resolve open questions with the user in plain language, and save the final plan to…. Make A Plan is an agent skill from penpot/penpot.agents/plans/.
Make A Plan fits situations like: tasks that involve Planning; tasks that involve Plain language and style rules.
Run `npx skills add penpot/penpot --skill make-a-plan -a claude-code`. Or copy the skill folder (.agents/skills/make-a-plan in penpot/penpot) into .claude/skills/make-a-plan in your project. Claude Code loads it when a task matches its description.
Run `npx skills add penpot/penpot --skill make-a-plan -a codex`. Or copy the skill folder (.agents/skills/make-a-plan in penpot/penpot) into .agents/skills/make-a-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 make-a-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/make-a-plan, .gemini/skills/make-a-plan, .github/skills/make-a-plan and .opencode/skills/make-a-plan in your project.
SKILL.md names no scripts, command-line tools or credentials: Make A Plan is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Make A 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 1.6k tokens (SKILL.md is roughly 6.2k 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 Make A Plan: Stakeholder Summary (testdouble/han, 279 stars), Audit Session Metrics (centminmod/my-claude-code-setup, 2.7k stars), Ponylang Prose Review (ponylang/ponylang-website, 160 stars) and Inherit Legacy Style (affaan-m/ECC, 275k 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 60,798 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.