Lean UX Canvas v2
deanpeters/Product-Manager-Skills
Guides a team through Jeff Gothelf's Lean UX Canvas v2 to frame a business problem, surface assumptions and decide what to learn and test next.
Your product + design brain trust and decision partner. An agent skill from coco-research/coco.
Install Product Design Super Intelligence
$ npx skills add coco-research/coco --skill product-design-super-intelligence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install coco-research/coco product-design-super-intelligence --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/coco-research/coco.git skills-src && mkdir -p .claude/skills && cp -r skills-src/systems/superintelligence/product-design .claude/skills/product-design-super-intelligence && 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 "product-design-super-intelligence" agent skill from https://github.com/coco-research/coco/tree/main/systems/superintelligence/product-design into .claude/skills/product-design-super-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-design-super-intelligence", 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/coco-research/coco/tree/main/systems/superintelligence/product-designType 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 coco-research/coco --skill product-design-super-intelligence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install coco-research/coco product-design-super-intelligence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .agents/skills && cp -r skills-src/systems/superintelligence/product-design .agents/skills/product-design-super-intelligence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "product-design-super-intelligence" agent skill from https://github.com/coco-research/coco/tree/main/systems/superintelligence/product-design into .agents/skills/product-design-super-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-design-super-intelligence", 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 coco-research/coco --skill product-design-super-intelligence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install coco-research/coco product-design-super-intelligence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/systems/superintelligence/product-design .cursor/skills/product-design-super-intelligence && 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 "product-design-super-intelligence" agent skill from https://github.com/coco-research/coco/tree/main/systems/superintelligence/product-design into .cursor/skills/product-design-super-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-design-super-intelligence", 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/coco-research/coco.git --path systems/superintelligence/product-design--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 coco-research/coco --skill product-design-super-intelligence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install coco-research/coco product-design-super-intelligence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/systems/superintelligence/product-design .gemini/skills/product-design-super-intelligence && 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 "product-design-super-intelligence" agent skill from https://github.com/coco-research/coco/tree/main/systems/superintelligence/product-design into .gemini/skills/product-design-super-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-design-super-intelligence", 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 coco-research/coco product-design-super-intelligenceInstalls 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 coco-research/coco --skill product-design-super-intelligence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .github/skills && cp -r skills-src/systems/superintelligence/product-design .github/skills/product-design-super-intelligence && 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 "product-design-super-intelligence" agent skill from https://github.com/coco-research/coco/tree/main/systems/superintelligence/product-design into .github/skills/product-design-super-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-design-super-intelligence", 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 coco-research/coco --skill product-design-super-intelligence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install coco-research/coco product-design-super-intelligence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/systems/superintelligence/product-design .opencode/skills/product-design-super-intelligence && 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 "product-design-super-intelligence" agent skill from https://github.com/coco-research/coco/tree/main/systems/superintelligence/product-design into .opencode/skills/product-design-super-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-design-super-intelligence", 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.
Facts
- Skill name
product-design-super-intelligence- GitHub stars
- 503
- Token cost
- ~2.5k tokens
- SKILL.md length
- 789 words
- Files
- 184 (incl. scripts)
- Skills in repo
- 63
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Your product + design brain trust and decision partner. An agent skill from coco-research/coco.
- Tasks that involve User research
- SKILL.md covers What this team is for, Cells (8), Personas (56 native) and Cross-listed (1), plus 4 more sections
- Calls python3
- Tasks that involve UX design
What it does
Product Design Super Intelligence is an agent skill from coco-research/coco. Your product + design brain trust and decision partner. Named personas across 8 cells spanning product strategy, discovery/research, growth/metrics, design foundations/usability, design leadership/craft, UX/content, design systems, and a…
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 185 other files, including scripts (for example `ROSTER.md`, `VALIDATION-OFFLINE.md` and `cells/design-foundations-usability.md`).
It sits in Product & Project Management, covering User research, UX design and Design systems. The repository describes itself as: CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 226 skills, 386 commands…
When your agent uses it
- Tasks that involve User research
- Tasks that involve UX design
- Tasks that involve Design systems
Example prompts
- “/product-design-super-intelligence”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit d79d33a. 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
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Product Design Super Intelligence loads about 2.5k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 789 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.
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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 789 words (~2,539 tokens).
“Your product + design brain trust and decision-making partner. 56 named native personas across 8 cells — the people who defined product strategy, discovery, growth, usability, design craft, content, design systems, and the behavior/ethics frontier — plus Adam Wathan cross-listed…”
- name
- product-design-super-intelligence
- team_id
- product-design-super-intelligence
- team_name
- Product & Design Super Intelligence Team
- last_updated
- 2026-06-01
- schema_version
- 1.0
Files
SKILL.md and 183 other files (scripts) in systems/superintelligence/product-design of coco-research/coco.
- SKILL.md
- ROSTER.md
- VALIDATION-OFFLINE.md
- cells/design-foundations-usability.md
- cells/design-leadership-craft.md
- cells/design-systems-interaction.md
- cells/growth-metrics.md
- cells/product-discovery-research.md
- cells/product-strategy.md
- cells/sprints-behavior-bridge.md
- cells/ux-content-research.md
- personas/aarron-walter.md
- personas/abby-covert.md
- personas/alan-cooper.md
- personas/alla-kholmatova.md
- personas/andrew-chen.md
- personas/april-dunford.md
- personas/ben-thompson.md
- personas/bj-fogg.md
- … and 165 more
Open the folder on GitHubat commit d79d33a
Compare with similar skills
Product Design Super Intelligence 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 |
|---|---|---|---|---|---|---|
| Product Design Super Intelligence this skillcoco-research/coco | 503 | — | ~2.5k | Automated safety check: Pass | Custom licence | |
| Lean UX Canvas v2deanpeters/Product-Manager-Skills | 7.2k | 1 repos | ~6.2k | Automated safety check: Pass | Custom licence | |
| Product Design Framinglobehub/lobehub | 83k | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| UI UX Designeraiskillstore/marketplace | 430 | 7 repos | ~2.4k | Automated safety check: Pass | None | |
| Usability TestingOwl-Listener/designpowers | 251 | — | ~710 | Automated safety check: Pass | MIT | |
| Usability TestingProrise-cool/Claude-Code-Multi-Agent | 305 | — | ~4.2k | Automated safety check: Pass | None |
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UI UX Designer
aiskillstore/marketplace
Create interface designs, wireframes, and design systems. An agent skill from aiskillstore/marketplace.
Usability Testing
Owl-Listener/designpowers
A skill your agent uses when planning or conducting usability tests — writing test scripts, defining tasks, selecting participants, analysing findings, and turning observations into design actions
Usability Testing
Prorise-cool/Claude-Code-Multi-Agent
Design and plan usability tests - task creation, think-aloud protocols, moderator scripts, metrics definition, and analysis frameworks.
Product Designer
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Product design across UI/UX, design systems, prototyping, and user research.
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Related
Questions about Product Design Super Intelligence
What does Product Design Super Intelligence do?
Your product + design brain trust and decision partner. An agent skill from coco-research/coco. Product Design Super Intelligence is an agent skill from coco-research/coco. Your product + design brain trust and decision partner.
When should I use Product Design Super Intelligence?
Product Design Super Intelligence fits situations like: tasks that involve User research; tasks that involve UX design; tasks that involve Design systems.
How do I install Product Design Super Intelligence in Claude Code?
Run `npx skills add coco-research/coco --skill product-design-super-intelligence -a claude-code`. Or copy the skill folder (systems/superintelligence/product-design in coco-research/coco) into .claude/skills/product-design-super-intelligence in your project. Claude Code loads it when a task matches its description.
How do I install Product Design Super Intelligence in Codex?
Run `npx skills add coco-research/coco --skill product-design-super-intelligence -a codex`. Or copy the skill folder (systems/superintelligence/product-design in coco-research/coco) into .agents/skills/product-design-super-intelligence in your project. Codex loads it when a task matches its description.
Can I use Product Design Super Intelligence 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 coco-research/coco --skill product-design-super-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-design-super-intelligence, .gemini/skills/product-design-super-intelligence, .github/skills/product-design-super-intelligence and .opencode/skills/product-design-super-intelligence in your project.
What does Product Design Super Intelligence need to run?
Going by SKILL.md and its folder, Product Design Super Intelligence needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Product Design Super Intelligence access the network?
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.
Is Product Design Super Intelligence 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Product Design Super Intelligence use?
Product Design Super Intelligence has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Product Design Super Intelligence use?
About 2.5k tokens (SKILL.md is roughly 10k 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 Product Design Super Intelligence?
Skills that share tags, products or a category with Product Design Super Intelligence: Lean UX Canvas v2 (deanpeters/Product-Manager-Skills, 7.2k stars), Product Design Framing (lobehub/lobehub, 83k stars), UI UX Designer (aiskillstore/marketplace, 430 stars) and Usability Testing (Owl-Listener/designpowers, 251 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Product Design Super Intelligence?
coco-research (a GitHub user) maintains it in coco-research/coco, which has 503 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on October 9, 2026.
Source: coco-research/coco on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.