Trellis Brainstorm
anjiemo/SunnyBeach
Guides collaborative requirements discovery before implementation.
Evaluate product demand from product links, product descriptions, PRDs, websites, app-store pages, white papers, sales decks, screenshots, or funding materials using the demand triangle model: lack…
Install Yao Demand Skill
$ npx skills add yaojingang/yao-open-skills --skill yao-demand-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yaojingang/yao-open-skills yao-demand-skill --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/yaojingang/yao-open-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/yao-demand-skill .claude/skills/yao-demand-skill && 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 "yao-demand-skill" agent skill from https://github.com/yaojingang/yao-open-skills/tree/main/skills/yao-demand-skill into .claude/skills/yao-demand-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yao-demand-skill", 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/yaojingang/yao-open-skills/tree/main/skills/yao-demand-skillType 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 yaojingang/yao-open-skills --skill yao-demand-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yaojingang/yao-open-skills yao-demand-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yaojingang/yao-open-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/yao-demand-skill .agents/skills/yao-demand-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "yao-demand-skill" agent skill from https://github.com/yaojingang/yao-open-skills/tree/main/skills/yao-demand-skill into .agents/skills/yao-demand-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yao-demand-skill", 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 yaojingang/yao-open-skills --skill yao-demand-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yaojingang/yao-open-skills yao-demand-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yaojingang/yao-open-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/yao-demand-skill .cursor/skills/yao-demand-skill && 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 "yao-demand-skill" agent skill from https://github.com/yaojingang/yao-open-skills/tree/main/skills/yao-demand-skill into .cursor/skills/yao-demand-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yao-demand-skill", 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/yaojingang/yao-open-skills.git --path skills/yao-demand-skill--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 yaojingang/yao-open-skills --skill yao-demand-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yaojingang/yao-open-skills yao-demand-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yaojingang/yao-open-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/yao-demand-skill .gemini/skills/yao-demand-skill && 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 "yao-demand-skill" agent skill from https://github.com/yaojingang/yao-open-skills/tree/main/skills/yao-demand-skill into .gemini/skills/yao-demand-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yao-demand-skill", 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 yaojingang/yao-open-skills yao-demand-skillInstalls 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 yaojingang/yao-open-skills --skill yao-demand-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yaojingang/yao-open-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/yao-demand-skill .github/skills/yao-demand-skill && 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 "yao-demand-skill" agent skill from https://github.com/yaojingang/yao-open-skills/tree/main/skills/yao-demand-skill into .github/skills/yao-demand-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yao-demand-skill", 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 yaojingang/yao-open-skills --skill yao-demand-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yaojingang/yao-open-skills yao-demand-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yaojingang/yao-open-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/yao-demand-skill .opencode/skills/yao-demand-skill && 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 "yao-demand-skill" agent skill from https://github.com/yaojingang/yao-open-skills/tree/main/skills/yao-demand-skill into .opencode/skills/yao-demand-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yao-demand-skill", 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
yao-demand-skill- GitHub stars
- 1.3k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 597 words
- Files
- 47 (incl. scripts, references)
- Skills in repo
- 16
- Repo updated
- First seen
- Licence
- MIT
At a glance
Evaluate product demand from product links, product descriptions, PRDs, websites, app-store pages, white papers, sales decks, screenshots, or funding materials using the demand triangle model: lack…
- Works in 11 steps: Confirm the product input. Accept a URL,… → Build the product canvas: product… → Plan evidence. Prioritize official… → …
- Asked for demand assessment
- SKILL.md covers Use This Skill For, Do Not Route Here, Workflow and Output Contract, plus 1 more section
- Runs Python scripts from its folder
What it does
Yao Demand Skill is an agent skill from yaojingang/yao-open-skills. Evaluate product demand from product links, product descriptions, PRDs, websites, app-store pages, white papers, sales decks, screenshots, or funding materials using the demand triangle model: lack, target object, and consumer ability. Use when asked for demand assessment, pre-investment product review, growth diagnosis, positioning validation, competitor-backed demand evidence, or a multi-format demand report. Do not use for pure market sizing, generic business-model design, UX-only review, legal/financial…
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 51 other files, including scripts and reference files (for example `README.md`, `agents/interface.yaml` and `evals/README.md`).
It sits in Product & Project Management, covering Copywriting, Product strategy and Market sizing. The repository describes itself as: OpenYao public skills collection: reusable AI assets for decision-making, business analysis, tutorials, research evidence gathering, and document generation. The licence is MIT.
When your agent uses it
- Asked for demand assessment
- Pre-investment product review
- Growth diagnosis
- Positioning validation
Example prompts
- “/yao-demand-skill”
Requirements
- Python 3
Workflow steps
11 steps, taken from the first numbered list in SKILL.md.
- Confirm the product input. Accept a URL, text description, PRD, website copy, docs, screenshot, app-store page, sales material, or funding…
- Build the product canvas: product definition, user, scenario, features, price, promise, business model, market, source list, and…
- Plan evidence. Prioritize official sources, third-party validation, user feedback, competitor/substitute evidence, and time-sensitive…
- Research only evidence that can support or challenge demand. Current product, price, competitor, market, legal, or regulatory facts must…
- Segment users by JTBD, trigger scenario, buying role, current alternatives, and adoption blockers.
- Analyze the three demand triangle dimensions: lack, target_object, and consumer_ability. Include evidence, counter-evidence, assumptions…
- Score each dimension from 0 to 10, then calculate total score with the geometric short-board formula and confidence adjustment.
- Produce visual diagnostics: at least 10 chart modules, each with one or two insight sentences, one recommendation, confidence, and…
- Produce recommendations, forecast scenarios, and a final 30/60/90 day action plan: positioning, product, pricing, onboarding, trust…
- Run QA: citation coverage, time consistency, evidence diversity, at least three counter-signals, score explainability, chart completeness…
- Write a structured report JSON, then use scripts/render_report.py to create Markdown, HTML, Word, and PDF outputs.
What it can do on your machine
Read from SKILL.md and the folder at commit 093996e. 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/ (Python, from the files we listed), which the agent can run.
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
Yao Demand Skill loads about 1.4k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 146 tokens; SKILL.md has 597 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
The full file from yaojingang/yao-open-skills at commit 093996e, republished under its MIT licence (© yaojingang). 597 words, ~1,353 tokens.
Download SKILL.mdSave it as
.claude/skills/yao-demand-skill/SKILL.md (or your agent's skills folder). This skill also uses 46 other files; get the full folder from GitHub.- name
- yao-demand-skill
- description
- Evaluate product demand from product links, product descriptions, PRDs, websites, app-store pages, white papers, sales decks, screenshots, or funding materials using the demand triangle model: lack, target object, and consumer ability. Use when asked for demand assessment, pre-investment product review, growth diagnosis, positioning validation, competitor-backed demand evidence, or a multi-format demand report. Do not use for pure market sizing, generic business-model design, UX-only review, legal/financial advice, or ad-copy ideation without demand evidence.
- metadata.author
- Yao Team
- metadata.mode
- production
- metadata.model
- Demand Triangle: lack + target object + consumer ability
- metadata.output
- Markdown, HTML, Word, PDF
Yao Demand Skill
Evidence-backed demand assessment for products, services, apps, SaaS, AI tools, consumer goods, education products, and early-stage ventures.
Use This Skill For
- assessing whether a product has a solid demand foundation before building, investing, launching, or scaling
- diagnosing weak conversion, weak retention, vague positioning, pricing friction, trust friction, or adoption barriers
- comparing direct competitors, indirect substitutes, current user workarounds, and the option of not buying
- producing a visual demand diagnosis report with citations, scores, red flags, 10+ chart modules, experiments, forecasts, and four final formats
Do Not Route Here
- pure TAM/SAM/SOM market sizing without product-demand diagnosis
- generic monetization or business-model option design; use a business-model skill instead
- UX heuristic review without demand, JTBD, or adoption evidence
- legal, financial, medical, or investment advice as a final decision
- manipulative marketing designed to shame, scare, addict, or exploit vulnerable users
Workflow
- Confirm the product input. Accept a URL, text description, PRD, website copy, docs, screenshot, app-store page, sales material, or funding deck. Ask only one concise question if no product substance is available.
- Build the product canvas: product definition, user, scenario, features, price, promise, business model, market, source list, and unresolved assumptions.
- Plan evidence. Prioritize official sources, third-party validation, user feedback, competitor/substitute evidence, and time-sensitive market or regulatory facts.
- Research only evidence that can support or challenge demand. Current product, price, competitor, market, legal, or regulatory facts must be verified with sources and dates.
- Segment users by JTBD, trigger scenario, buying role, current alternatives, and adoption blockers.
- Analyze the three demand triangle dimensions:
lack,target_object, andconsumer_ability. Include evidence, counter-evidence, assumptions, and improvement paths. - Score each dimension from
0to10, then calculate total score with the geometric short-board formula and confidence adjustment. - Produce visual diagnostics: at least 10 chart modules, each with one or two insight sentences, one recommendation, confidence, and evidence or assumption binding.
- Produce recommendations, forecast scenarios, and a final 30/60/90 day action plan: positioning, product, pricing, onboarding, trust, channel, and validation experiments.
- Run QA: citation coverage, time consistency, evidence diversity, at least three counter-signals, score explainability, chart completeness, ethics, and layout readiness.
- Write a structured report JSON, then use
scripts/render_report.pyto create Markdown, HTML, Word, and PDF outputs.
Show full SKILL.md (225 more words)Show less
Output Contract
- Always produce the final report in four formats:
.md,.html,.docx, and.pdf. - Use one canonical
report.jsonas the rendering source when possible, so the four outputs remain consistent. - HTML must include a top follow menu bar that stays pinned while the page scrolls, with quiet anchor navigation.
- Formal reports must follow a
summary -> visual diagnostics -> deep analysis -> final planstructure. - Formal reports must include at least 10 chart modules. HTML/PDF render them as inline SVG. Markdown and Word must include chart-equivalent tables or images.
- All report backgrounds are pure white. Borrow Kami's editorial hierarchy, ink-blue accent, table discipline, typography, spacing, and production checks, but override Kami's parchment background.
- Every key factual claim must either cite a source ID or be labeled as an assumption.
- Every score must include evidence, reasoning, uncertainty, and a concrete improvement path.
- Forecasts must be scenario-based and labeled with assumptions and confidence. Do not present uncertain adoption outcomes as deterministic predictions.
Reference Map
- Read
references/workflow.mdbefore starting an assessment. - Read
references/evidence-policy.mdbefore using sources, citations, or current facts. - Read
references/triangle-model.mdbefore scoring. - Read
references/report-contract.mdbefore writing the report JSON or final narrative. - Read
references/kami-white-report-layout.mdbefore rendering the four output formats. - Use
templates/report.schema.jsonas the report JSON target. - Use
scripts/score_triangle.pyto calculate or verify weighted scores. - Use
scripts/validate_report.pybefore rendering. - Use
scripts/render_report.pyto generate Markdown, HTML, Word, and PDF.
© yaojingang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 46 other files (scripts, references) in skills/yao-demand-skill of yaojingang/yao-open-skills.
- SKILL.md
- README.md
- agents/interface.yaml
- evals/README.md
- evals/resource_boundary_check.py
- evals/trigger_cases.json
- evals/trigger_eval.py
- manifest.json
- references/evidence-policy.md
- references/kami-white-report-layout.md
- references/report-contract.md
- references/triangle-model.md
- references/workflow.md
- reports/artifact-design-profile.md
- reports/humanoid-home-robot-demand-diagnosis/humanoid-home-robot-demand-diagnosis.docx
- reports/humanoid-home-robot-demand-diagnosis/humanoid-home-robot-demand-diagnosis.html
- … and 31 more
Open the folder on GitHubat commit 093996e
Compare with similar skills
Yao Demand Skill 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 |
|---|---|---|---|---|---|---|
| Yao Demand Skill this skillyaojingang/yao-open-skills | 1.3k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Trellis Brainstormanjiemo/SunnyBeach | 178 | 7 repos | ~4k | Automated safety check: Pass | Apache-2.0 | |
| PlaidBuildGreatProducts/plaid | 218 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Customise Workflowanombyte93/prd-taskmaster | 605 | — | ~2k | Automated safety check: Notes | MIT | |
| Team OKR Brainstormphuryn/pm-skills | 27k | — | ~1.1k | Automated safety check: Pass | MIT | |
| YC Office Hoursgarrytan/gstack | 136k | — | ~4.2k | Automated safety check: Pass | MIT |
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YC Office Hours
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Related
Categories
Questions about Yao Demand Skill
What does Yao Demand Skill do?
Evaluate product demand from product links, product descriptions, PRDs, websites, app-store pages, white papers, sales decks, screenshots, or funding materials using the demand triangle model: lack…. Yao Demand Skill is an agent skill from yaojingang/yao-open-skills. Evaluate product demand from product links, product descriptions, PRDs, websites, app-store pages, white papers, sales decks, screenshots, or funding materials using the demand triangle model: lack, target object, and consumer ability.
When should I use Yao Demand Skill?
Yao Demand Skill fits situations like: asked for demand assessment; pre-investment product review; growth diagnosis; positioning validation.
How do I install Yao Demand Skill in Claude Code?
Run `npx skills add yaojingang/yao-open-skills --skill yao-demand-skill -a claude-code`. Or copy the skill folder (skills/yao-demand-skill in yaojingang/yao-open-skills) into .claude/skills/yao-demand-skill in your project. Claude Code loads it when a task matches its description.
How do I install Yao Demand Skill in Codex?
Run `npx skills add yaojingang/yao-open-skills --skill yao-demand-skill -a codex`. Or copy the skill folder (skills/yao-demand-skill in yaojingang/yao-open-skills) into .agents/skills/yao-demand-skill in your project. Codex loads it when a task matches its description.
Can I use Yao Demand Skill 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 yaojingang/yao-open-skills --skill yao-demand-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/yao-demand-skill, .gemini/skills/yao-demand-skill, .github/skills/yao-demand-skill and .opencode/skills/yao-demand-skill in your project.
What does Yao Demand Skill need to run?
Going by SKILL.md and its folder, Yao Demand Skill needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Yao Demand Skill 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 Yao Demand Skill 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 Yao Demand Skill use?
Yao Demand Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Yao Demand Skill use?
About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.8k tokens, read only when the agent opens those files.
What are the alternatives to Yao Demand Skill?
Skills that share tags, products or a category with Yao Demand Skill: Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars), Plaid (BuildGreatProducts/plaid, 218 stars), Customise Workflow (anombyte93/prd-taskmaster, 605 stars) and Team OKR Brainstorm (phuryn/pm-skills, 27k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Yao Demand Skill?
yaojingang (a GitHub user) maintains it in yaojingang/yao-open-skills, which has 1,323 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on August 28, 2026.
Source: yaojingang/yao-open-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.