The Spiral
egregore-labs/egregore
A generative epistemology engine that transforms intuitions into rigorous, communicable output through structured Socratic dialogue.
Produces a one-page lean canvas across nine interlocking blocks (problem, customer, UVP, solution, channels, revenue, cost, metrics, unfair advantage) with optional inline HTML and SVG visual…
$ npx skills add product-on-purpose/pm-skills --skill foundation-lean-canvas -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install product-on-purpose/pm-skills foundation-lean-canvas --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/product-on-purpose/pm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/foundation-lean-canvas .claude/skills/foundation-lean-canvas && 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 "foundation-lean-canvas" agent skill from https://github.com/product-on-purpose/pm-skills/tree/main/skills/foundation-lean-canvas into .claude/skills/foundation-lean-canvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "foundation-lean-canvas", 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/product-on-purpose/pm-skills/tree/main/skills/foundation-lean-canvasType 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 product-on-purpose/pm-skills --skill foundation-lean-canvas -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install product-on-purpose/pm-skills foundation-lean-canvas --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/product-on-purpose/pm-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/foundation-lean-canvas .agents/skills/foundation-lean-canvas && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "foundation-lean-canvas" agent skill from https://github.com/product-on-purpose/pm-skills/tree/main/skills/foundation-lean-canvas into .agents/skills/foundation-lean-canvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "foundation-lean-canvas", 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 product-on-purpose/pm-skills --skill foundation-lean-canvas -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install product-on-purpose/pm-skills foundation-lean-canvas --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/product-on-purpose/pm-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/foundation-lean-canvas .cursor/skills/foundation-lean-canvas && 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 "foundation-lean-canvas" agent skill from https://github.com/product-on-purpose/pm-skills/tree/main/skills/foundation-lean-canvas into .cursor/skills/foundation-lean-canvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "foundation-lean-canvas", 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/product-on-purpose/pm-skills.git --path skills/foundation-lean-canvas--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 product-on-purpose/pm-skills --skill foundation-lean-canvas -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install product-on-purpose/pm-skills foundation-lean-canvas --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/product-on-purpose/pm-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/foundation-lean-canvas .gemini/skills/foundation-lean-canvas && 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 "foundation-lean-canvas" agent skill from https://github.com/product-on-purpose/pm-skills/tree/main/skills/foundation-lean-canvas into .gemini/skills/foundation-lean-canvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "foundation-lean-canvas", 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 product-on-purpose/pm-skills foundation-lean-canvasInstalls 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 product-on-purpose/pm-skills --skill foundation-lean-canvas -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/product-on-purpose/pm-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/foundation-lean-canvas .github/skills/foundation-lean-canvas && 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 "foundation-lean-canvas" agent skill from https://github.com/product-on-purpose/pm-skills/tree/main/skills/foundation-lean-canvas into .github/skills/foundation-lean-canvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "foundation-lean-canvas", 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 product-on-purpose/pm-skills --skill foundation-lean-canvas -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install product-on-purpose/pm-skills foundation-lean-canvas --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/product-on-purpose/pm-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/foundation-lean-canvas .opencode/skills/foundation-lean-canvas && 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 "foundation-lean-canvas" agent skill from https://github.com/product-on-purpose/pm-skills/tree/main/skills/foundation-lean-canvas into .opencode/skills/foundation-lean-canvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "foundation-lean-canvas", 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.
foundation-lean-canvasProduces a one-page lean canvas across nine interlocking blocks (problem, customer, UVP, solution, channels, revenue, cost, metrics, unfair advantage) with optional inline HTML and SVG visual…
Foundation Lean Canvas is an agent skill from product-on-purpose/pm-skills. Produces a one-page lean canvas across nine interlocking blocks (problem, customer, UVP, solution, channels, revenue, cost, metrics, unfair advantage) with optional inline HTML and SVG visual rendering. Use when framing a new product thesis, stress-testing an existing strategy, comparing strategic options side-by-side, or aligning a team on business-model assumptions. Works as a strategic hub that cross-links to deeper PM skills without duplicating them.
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `HISTORY.md`, `evals/trigger-fixtures.json` and `references/EXAMPLE.md`).
It sits in Product & Project Management, covering Product strategy and Essays and academic help. The repository describes itself as: 68 plug-and-play, best-practice product management skills for AI agents: 30 Triple Diamond phase + 11 foundation + 12 utility + 15 tool (Foundation Sprint + Design Sprint). Plus… The licence is Apache-2.0.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1cef1a9. 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.
Foundation Lean Canvas loads about 3k tokens when it runs, and up to ~9.8k if it reads all its reference files. Until then it costs about 120 tokens; SKILL.md has 1,456 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 product-on-purpose/pm-skills at commit 1cef1a9, republished under its Apache-2.0 licence (© product-on-purpose). 1,456 words, ~2,958 tokens.
.claude/skills/foundation-lean-canvas/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
A lean canvas is a one-page business thesis that makes your assumptions about problem, customer, solution, and viability explicit and testable. Developed by Ash Maurya from Alex Osterwalder's Business Model Canvas, it is specifically adapted for startups and product teams operating under uncertainty. Nine interlocking blocks force you to articulate the whole picture at once so that changing one block's assumptions surfaces the ripple effect on the others.
This skill is a strategic hub, not a specialist tool. It produces the integrated one-page artifact and cross-links to deeper PM skills (define-problem-statement, foundation-persona, define-jtbd-canvas, develop-solution-brief, discover-competitive-analysis, measure-experiment-design) for single-block depth when needed.
content (default) produces the nine-block canvas as structured markdown.visual produces the markdown canvas AND writes a self-contained, attractive .html file to disk using references/html-template.html as the layout scaffold. The HTML renders the canonical Maurya nine-block layout with polished typography, subtle per-column color accents, confidence badges per block, and print-ready A3 landscape styling. No external assets or CDN dependencies: the file opens correctly in a browser with no network access.If mode is omitted, default to content and state that fallback explicitly.
measure-experiment-design to prioritize which block assumptions to test firstfoundation-persona, define-problem-statement, discover-competitive-analysis) instead.deliver-prd, deliver-user-stories, deliver-acceptance-criteria; lean canvas is strategy, not specification.define-problem-statement or define-jtbd-canvas and return to lean canvas once the problem is framed.define-hypothesis, then measure-experiment-design; lean canvas frames the full thesis, a hypothesis tests one claim within it.When asked to create a lean canvas, follow these steps:
Resolve mode and intent
Determine whether the request is content or visual. If mode is omitted, default to content and state the fallback.
Clarify the target: new product thesis, existing-business stress test, or side-by-side comparison of options. If unclear, ask once before proceeding.
Collect context and evidence Use user-provided context first: product name, market, target customer, any research already done, existing alternatives users are hiring today, known constraints. If evidence is thin, continue generation but mark gaps in the Evidence & Confidence section and calibrate per-block confidence accordingly. For existing businesses, distinguish current assumptions from validated data explicitly.
Fill the nine blocks in recommended order Fill in this order because each block's answer constrains the next. Do not skip ahead.
a. Problem - Top 3 problems, ranked by pain intensity and frequency. Include Existing Alternatives (what customers do today, including workarounds and non-consumption, not just direct competitors). b. Customer Segments - Who has these problems most acutely? Name Early Adopters as a distinct subset you will reach first. Early Adopters are more painful, more reachable, and more willing to try a new solution than the broader segment. c. Unique Value Proposition (UVP) - One sentence that makes a clear, testable promise. Include a High-Level Concept ("X for Y" analogy) that accelerates understanding for busy readers. d. Solution - Top 3 features that address the top 3 problems. Map 1:1 to the Problem block. Keep it concrete but do not over-engineer; this is a hypothesis, not a spec. e. Channels - Free and paid paths to your early adopters. Distinguish compounding channels (content, SEO, community) from traction-demonstrating channels (outbound, paid ads). f. Revenue Streams - Model (subscription, transaction, freemium, services), price point, expected volume, and LTV. Show the math so the revenue thesis is inspectable. g. Cost Structure - CAC, fixed vs variable, and the cost driver that shapes the growth curve. h. Key Metrics - The 3 to 5 leading indicators that signal whether the model is working. AARRR (Acquisition, Activation, Retention, Revenue, Referral) is a useful default frame. i. Unfair Advantage - What cannot be easily copied or bought. Empty is acceptable if framed as an open question; never fabricate a moat.
Apply evidence and confidence policy
Tag each block with High, Medium, or Low confidence plus a one-line rationale.
Populate the Evidence & Confidence section: Validated (assumptions with named sources), Assumed (no data yet), Open Questions (what you would need to learn to raise confidence), Governance (who owns the canvas and when it is revisited).
A block marked "High" must name a specific evidence source, not a generic claim.
Render and write the visual file (visual mode only)
Read references/html-template.html. It is a complete, self-contained HTML5 document using CSS Grid to express the canonical Maurya nine-block layout, with per-column color accents, confidence badges, and A3 landscape print styling.
Fill every {{PLACEHOLDER}} token in the template with content from the markdown canvas:
{{PRODUCT_NAME}}, {{CREATED_DATE}}, {{PURPOSE}}, {{OVERALL_CONFIDENCE}} from the canvas header.{{PROBLEM_CONTENT}}, {{EXISTING_ALTERNATIVES}}, {{SOLUTION_CONTENT}}, {{UVP_CONTENT}}, {{HIGH_LEVEL_CONCEPT}}, {{ADVANTAGE_CONTENT}}, {{CUSTOMER_CONTENT}}, {{EARLY_ADOPTERS}}, {{METRICS_CONTENT}}, {{CHANNELS_CONTENT}}, {{COST_CONTENT}}, {{REVENUE_CONTENT}} from the respective blocks. Use a <ul><li> list for multi-item blocks; keep cell content concise (one-line summaries, not the full markdown detail) so the visual stays scannable.{{CONF_PROBLEM}}, {{CONF_SOLUTION}}, {{CONF_UVP}}, {{CONF_ADVANTAGE}}, {{CONF_CUSTOMER}}, {{CONF_METRICS}}, {{CONF_CHANNELS}}, {{CONF_COST}}, {{CONF_REVENUE}} with the single letter H, M, or L matching each block's confidence tag. Each appears twice in the template (once in the class attribute for styling, once as visible text).{{VALIDATED_COUNT}}, {{ASSUMED_COUNT}}, {{OPEN_QUESTIONS_COUNT}}, {{OWNER}}, {{NEXT_REVIEW}} in the footer evidence strip.
Write the filled document to disk at a user-specified path, or default to ./lean-canvas-{slug}.html in the current working directory (where {slug} is the product name lowercased with non-alphanumeric characters replaced by hyphens).
Do not introduce external font or CSS links; the template is intentionally self-contained.
In content mode, skip this step entirely.Finalize for direct use
Remove all template guidance blockquotes (> notes) from the final artifact.
Verify UVP is decision-changing and testable, not marketing fluff.
Confirm Early Adopters is a distinct subset (not a restatement of Customer Segments).
Confirm Solution block items map 1:1 to Problem block items.
High|Medium|Low), and a one-line rationaleValidated, Assumed, Open Questions, and Governance subsections populated (even if a subsection is intentionally empty, mark it "None" rather than removing it)./lean-canvas-{slug}.html (or a user-specified path). The HTML is derived from references/html-template.html with every placeholder filled and no external dependencies. After writing, report the file path to the user.phase: field in frontmatter; uses classification: foundationBefore finalizing, verify:
High|Medium|Low) with a one-line rationale.html file opens successfully in a browser with no network access; every {{PLACEHOLDER}} has been replaced; confidence badges render with correct color; the canonical Maurya nine-block arrangement is visible; print-preview at A3 landscape fits the canvas on one page; role="img" and aria-label are present; the file path is reported back to the user.html file is written and no visual section appears in the markdownSee references/EXAMPLE.md for a completed lean canvas in content mode with a realistic B2B SaaS scenario. The HTML template scaffold for visual mode lives at references/html-template.html.
© product-on-purpose, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references) in skills/foundation-lean-canvas of product-on-purpose/pm-skills.
Open the folder on GitHubat commit 1cef1a9
Foundation Lean Canvas 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 |
|---|---|---|---|---|---|---|
| Foundation Lean Canvas this skillproduct-on-purpose/pm-skills | 716 | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| The Spiralegregore-labs/egregore | 291 | — | ~527 | Automated safety check: Pass | MIT | |
| Game Changing FeaturesopenstatusHQ/data-table-filters | 2.3k | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Organic Growth Path Advisordeanpeters/Product-Manager-Skills | 7.2k | 2 repos | ~5.2k | Automated safety check: Pass | Custom licence | |
| Product Strategistalirezarezvani/claude-skills | 28k | 2 repos | ~1.8k | Automated safety check: Pass | MIT | |
| PlaidBuildGreatProducts/plaid | 218 | — | ~1.6k | Automated safety check: Pass | MIT |
egregore-labs/egregore
A generative epistemology engine that transforms intuitions into rigorous, communicable output through structured Socratic dialogue.
openstatusHQ/data-table-filters
Find 10x product opportunities and high-leverage improvements.
deanpeters/Product-Manager-Skills
Diagnoses where a growth constraint lives and recommends one organic growth path from the McKinsey Growth Pyramid to test first.
alirezarezvani/claude-skills
OKR cascade toolkit for product leaders: generates aligned company-to-team OKRs from five strategy types and scores how well they line up.
BuildGreatProducts/plaid
Product Led AI Development — guides founders from idea to launched product.
Fokkyp/claude-skills
Produces product-manager competitive analysis reports in Chinese, with a confirm-first scoping gate, three-phase evidence collection and single or multi-product modes.
product-on-purpose/pm-skills
Defines a testable hypothesis with clear success metrics and a validation approach.
product-on-purpose/pm-skills
Creates a Jobs to be Done canvas capturing the functional, emotional, and social dimensions of a customer job.
product-on-purpose/pm-skills
Creates an opportunity solution tree connecting a desired outcome to customer opportunities and candidate solutions, preventing solution-first jumps in continuous discovery.
product-on-purpose/pm-skills
Creates a clear problem framing document with user impact, business context, and success criteria.
product-on-purpose/pm-skills
Generates structured Given/When/Then acceptance criteria for a user story or feature slice, covering the happy path, key failure scenarios, and non-functional expectations in testable form.
product-on-purpose/pm-skills
Creates a cross-functional pre-launch checklist covering engineering, design, marketing, support, legal, and operations readiness, with owners, dates, and go/no-go criteria so nothing is missed…
Categories
Produces a one-page lean canvas across nine interlocking blocks (problem, customer, UVP, solution, channels, revenue, cost, metrics, unfair advantage) with optional inline HTML and SVG visual…. Foundation Lean Canvas is an agent skill from product-on-purpose/pm-skills. Produces a one-page lean canvas across nine interlocking blocks (problem, customer, UVP, solution, channels, revenue, cost, metrics, unfair advantage) with optional inline HTML and SVG visual rendering.
Foundation Lean Canvas fits situations like: framing a new product thesis; stress-testing an existing strategy; comparing strategic options side-by-side; aligning a team on business-model assumptions.
Run `npx skills add product-on-purpose/pm-skills --skill foundation-lean-canvas -a claude-code`. Or copy the skill folder (skills/foundation-lean-canvas in product-on-purpose/pm-skills) into .claude/skills/foundation-lean-canvas in your project. Claude Code loads it when a task matches its description.
Run `npx skills add product-on-purpose/pm-skills --skill foundation-lean-canvas -a codex`. Or copy the skill folder (skills/foundation-lean-canvas in product-on-purpose/pm-skills) into .agents/skills/foundation-lean-canvas 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 product-on-purpose/pm-skills --skill foundation-lean-canvas -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/foundation-lean-canvas, .gemini/skills/foundation-lean-canvas, .github/skills/foundation-lean-canvas and .opencode/skills/foundation-lean-canvas in your project.
SKILL.md names no scripts, command-line tools or credentials: Foundation Lean Canvas 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.
Foundation Lean Canvas is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3k tokens (SKILL.md is roughly 12k 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 6.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Foundation Lean Canvas: The Spiral (egregore-labs/egregore, 291 stars), Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), Organic Growth Path Advisor (deanpeters/Product-Manager-Skills, 7.2k stars) and Product Strategist (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
product-on-purpose (a GitHub organization) maintains it in product-on-purpose/pm-skills, which has 716 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on October 8, 2026.
Source: product-on-purpose/pm-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.