[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6D7A8AX80SSZDSSK0ESMSQ4":3,"skill-same:01M6D7A8AX80SSZDSSK0ESMSQ4":71},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":52,"ownerHtmlUrl":53,"ownerBlogUrl":54,"ownerDescription":55,"updatedAt":56,"install":57,"resources":70},"01M6D7A8AX80SSZDSSK0ESMSQ4","lean-canvas",null,"One-page Lean Canvas business model synthesis (Ash Maurya)","GeorgeQLe\u002Fagentic-skills","GeorgeQLe","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F21134126?v=4","01M6D2JP418S0VGJGF8M93EC3H","George Le","01M6D2JPBAKYD82TA5FS6HKQ3D",1,"MIT","https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills\u002Fblob\u002Fmaster\u002Fpacks\u002Fbusiness-research\u002Fcodex\u002Flean-canvas\u002Farchive\u002Fv0.8\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",[27,28,29,30,31,32,33,34,35,36,37,38],"canvas","lean","lean canvas","research","model","page","v0","business","Synthesis","revenue model","focus","visual","2026-11-10 10:12:30",false,"---\nname: lean-canvas\ndescription: One-page Lean Canvas business model synthesis (Ash Maurya)\ntype: research\nversion: v0.8\nargument-hint: \"[optional: focus area e.g. \\\"revenue model\\\", \\\"channels\\\"]\"\ninterview_depth: light\nvisual_tier: visual\n---\n\n## Pack Availability Guard\n\nBefore telling the user to run a skill from another project-local pack, check `.agents\u002Fproject.json.enabled_packs`. If the target pack is not enabled, recommend `$pack install \u003Cpack>` instead of the target skill. Global skills are always valid. Skills from this same pack are valid because the current skill is already running from that pack.\n\n# Lean Canvas — One-Page Business Model Synthesis\n\nInvoke as `$lean-canvas`.\n\n## Report-First Approval Gate\n\nDefault to scope-first approval: before synthesized research, inspect only enough repository, user, and source context to propose research scope, source plan, assumptions, output paths, and approval questions in a `review` alignment page plus a concise conversation summary.\n\nDo not perform synthesized research, rank candidates, make recommendations, or write working packets or canonical deliverables until final compiled YAML approves the research scope. Minimal pre-approval discovery may identify available files, source categories, and open questions; label it as scope evidence, not findings.\n\nAfter approved research-scope YAML, perform the research and write only the non-canonical working packet defined in the staged workflow. Then update the `review` alignment page with findings and stop again for feedback-only YAML or final compiled YAML artifact approval before creating or updating canonical research, spec, or task files.\n\nDo not include `Recommended next skill`, `Recommended next command`, or downstream routing language. The approval request itself is the next action. Only emit next-skill routing after the approved artifact has been written or updated.\n\n## Staged Research Workflow\n\nUse this staged workflow for synthesized research or report outputs that would create or update canonical research, spec, or task files.\n\n1. **Stage 1 - Scope discovery and approval.** Inspect only enough repository, user, and source context to propose research scope, source plan, assumptions, output paths, and approval questions. Build the `review` HTML alignment page before synthesized research. The page must render the proposed scope, available source categories, known context, assumptions\u002Fconfidence, proposed working-packet and canonical output paths, and research-scope approval gates. Stop for final compiled YAML approval of the research scope. Do not perform synthesized research, rank candidates, make recommendations, or write working packets, canonical research, spec, or task files in Stage 1.\n2. **Stage 2 - Research and artifact review.** Only after approved research-scope YAML with no unresolved `needs-clarification`, unresolved `down` feedback, or other unresolved negative feedback, perform the synthesized research, run required source\u002Fcode checks, and write only a non-canonical working packet: flat mode uses `research\u002F_working\u002Fpreliminary-\u003Cskill>-research.md`; product-path mode uses `research\u002F{slug}\u002F_working\u002Fpreliminary-\u003Cskill>-research.md`. Replace `\u003Cskill>` with this skill's `name` value. Raw evidence or search logs may remain as supporting evidence where this skill already requires them, but synthesized deliverables stay in the working packet. Update the `review` HTML alignment page with the full preliminary packet, evidence matrix, assumptions\u002Fconfidence register, source coverage gaps, proposed canonical file changes, and artifact approval gates. Stop for either feedback-only YAML or final compiled YAML. Feedback-only YAML revises the working packet and page, then remains in Stage 2.\n3. **Stage 3 - Finalize approved artifacts.** Consume final compiled YAML for artifact approval only when it has no unresolved `needs-clarification`, unresolved `down` feedback, or other unresolved negative feedback. Apply approved edits first, archive the working packet to `docs\u002Fhistory\u002Farchive\u002FYYYY-MM-DD\u002FHHMMSS\u002F\u003Coriginal-working-path>`, remove the active working packet, write the approved canonical artifacts to the unchanged output paths below, and convert the alignment page to `confirmed` with the approval record preserved.\n\nCanonical output paths remain unchanged. Search logs and other supporting evidence remain allowed only where this skill's output contract already requires them.\n\n## Evidence And Feedback Handling\n\nTreat user feedback as input to evaluate, not as automatic ground truth.\n\n- For factual, evidentiary, technical, or source-backed claims: verify against available evidence. If the user appears to misunderstand the evidence or states something factually incorrect, push back clearly and cite the evidence. Do not rewrite findings merely to agree.\n- For taste, brand, positioning preference, risk appetite, prioritization, or other subjective judgment calls: weigh user feedback heavily and adapt the recommendation unless it conflicts with verified evidence.\n- When feedback mixes facts and preference, separate them explicitly: correct the factual part, then incorporate the preference where it is a legitimate judgment call.\n- When uncertain, say what is known, what is inferred, and what would change the conclusion.\n\n## Prerequisites\n\n- **Hard**: `research\u002Ficp.md` (or `research\u002F{slug}\u002Ficp.md`) must exist. If not, tell the user to run `$customer-discovery` first and stop.\n- **Soft**: Read these if they exist:\n  - `research\u002Fcompetitive-analysis.md` — competitor landscape, channel insights, business model patterns\n  - `research\u002Fjourney-map.md` — lifecycle moments where value, conversion, and retention occur\n  - `research\u002Fpositioning.md` — unique value proposition, market category, competitive alternatives\n  - `research\u002Fvalue-prop.md` — value propositions mapped to customer segments\n  - `research\u002Fidea-brief.md` — product concept, solution approach, feature set\n\n## Process\n\n### 0. Product-Path Scope Resolution\n\nResolve research scope by product path before using code or app structure as a hint:\n\n1. If `$ARGUMENTS` names a non-archived `research\u002F{slug}\u002F` directory or a product-path ID whose `scope_path` points there, use that path. Treat `{slug}` as the product\u002Fapp name, not the ICP, audience, or segment label.\n2. If `$ARGUMENTS` names only `research\u002F_archive\u002F{slug}\u002F` or a manifest entry with `status: archived` or legacy `status: abandoned`, stop and warn that the path is archived; do not write or update scoped outputs there.\n3. Read `research\u002F.progress.yaml` when present. Normalize legacy `active_path` to `active_paths` on read and write back `active_paths` on manifest updates. Treat legacy `abandoned` as `archived`; exclude `archived`, `abandoned`, `deferred`, `revisit_candidate`, `promoted`, and any `scope_path` under `research\u002F_archive\u002F` from active target selection.\n4. If active product paths exist in the manifest, use those paths. If multiple active paths exist, ask which one to target unless this skill explicitly supports cross-path output.\n5. If no active manifest target exists, list non-archived product directories under `research\u002F`, excluding `research\u002F_archive\u002F` and dot directories. Auto-select only when exactly one exists; ask when multiple exist.\n6. If no product directories exist, use flat `research\u002F` single-product mode.\n7. Detect monorepo\u002Fapp\u002Fpackage structure only as a secondary hint. Suggest creating a missing `research\u002F{slug}\u002F` product path when code clearly exposes an app, but do not require code or monorepo detection before using `research\u002F{slug}\u002F`.\n\nWhen product path `{slug}` is active, read and write research under `research\u002F{slug}\u002F`, specs under `specs\u002F{slug}\u002F`, and treat top-level `research\u002F*.md` files as flat-mode documents or cross-path summaries.\n\n### 1. Load Context\n\n- Read `research\u002Ficp.md` — ICP segments, pain points, jobs to be done, trigger events\n- Read `research\u002Fcompetitive-analysis.md` if it exists — competitor landscape, channel strategies, business model patterns\n- Read `research\u002Fpositioning.md` if it exists — unique attributes, value mapping, market category, competitive alternatives\n- Read `research\u002Fvalue-prop.md` if it exists — value propositions per segment\n- Read `research\u002Fidea-brief.md` if it exists — product concept, solution approach, features\n- Read CLAUDE.md, README, and key source files for product context\n\n### 2. Research Lean Canvas Methodology\n\nUse WebSearch with **4-6 targeted queries**:\n\n1. **Domain-specific canvases** — \"lean canvas [domain]\", \"lean canvas examples [category]\"\n2. **Methodology** — \"Ash Maurya lean canvas best practices\", \"lean canvas vs business model canvas differences\"\n3. **Business models** — \"one page business model [industry]\", \"[category] business model patterns\"\n4. **Revenue patterns** — \"[category] revenue models\", \"[domain] pricing strategies\"\n5. **Channel strategies** — \"[category] customer acquisition channels\", \"[domain] distribution strategies\"\n\n### 3. Synthesize Canvas Sections\n\nMap each Lean Canvas section from upstream research:\n\n- **Problem** — Top 3 problems from ICP pain points. Source: `research\u002Ficp.md`\n- **Customer Segments** — Primary and secondary segments from ICP. Source: `research\u002Ficp.md`\n- **Unique Value Proposition** — From positioning UVP statement, or `research\u002Fvalue-prop.md` if positioning doesn't exist. This is the single clear compelling message that states why you are different and worth buying.\n- **Solution** — Top 3 features or capabilities that address the top 3 problems. Source: `research\u002Fidea-brief.md` or product codebase.\n- **Channels** — Path to customers. Source: `research\u002Fcompetitive-analysis.md` channel insights, ICP \"where they hang out.\"\n- **Revenue Streams** — **HYPOTHESIS** — mark \"to be validated by `$monetization`\". Infer from competitive analysis pricing patterns and positioning (premium vs. value).\n- **Cost Structure** — **HYPOTHESIS** — mark \"to be validated by `$monetization`\". Infer from solution complexity, channel costs, and competitive analysis.\n- **Key Metrics** — From `research\u002Fmetrics.md` if it exists, otherwise hypothesize key pirate metrics (AARRR) relevant to the business model.\n- **Unfair Advantage** — From positioning unique attributes or competitive moat. Something that cannot be easily copied or bought.\n\nIf the session is already in Plan mode and there are 2-3 concrete choices, prefer `request_user_input`; otherwise ask in plain text:\n- \"Here's the Lean Canvas synthesized from research. Which sections need correction, stronger grounding, or are missing critical context?\"\n\n### 4. Validate Hypotheses\n\nFor sections marked as hypotheses (Revenue Streams, Cost Structure, and any others with low evidence), note:\n- **Confidence level**: High \u002F Medium \u002F Low\n- **What would validate** each hypothesis\n- **What would invalidate** each hypothesis\n- **Riskiest assumption** within each section\n\nIf the session is already in Plan mode and there are 2-3 concrete choices, prefer `request_user_input`; otherwise ask in plain text:\n- \"These are the unvalidated hypotheses. Which are highest risk and should be tested first?\"\n\n### 5. Populate Next Steps\n\nInclude a **Recommended** item (the single highest-impact next step given current project state) with a one-line reason, followed by **Other options** (2-4 alternatives). Use this format in the output:\n\n## Next Steps\n\n**Recommended:** `$user-flow-map [business-model-informed product direction]` — return to the default AFPS prototype path by mapping screen flow before UI requirements and layout variants\n\nOther options:\n- IF Revenue\u002FCost hypotheses need validation: `$monetization` — Validate revenue model and cost structure hypotheses\n- IF riskiest hypothesis identified: `$experiment [riskiest hypothesis]` — Test the riskiest assumption with a structured experiment\n- IF no `research\u002Fpositioning.md`: `$positioning` — Establish strategic positioning to strengthen UVP and Unfair Advantage sections\n- IF no `research\u002Fjourney-map.md`: `$journey-map` — Map the customer journey before continuing UX, growth, or spec work\n\n### 6. Write Output\n\nOnly after the user confirms, write the output files.\n\n### 7. Downstream Impact Check\n\nAfter writing, check for downstream research documents that may be affected.\n\n**Downstream documents to check** (use `{slug}\u002F` prefix when product-path scope is active):\n- `research\u002Fjourney-map.md`\n- `research\u002Fmonetization.md`\n\nFor each existing downstream document:\n1. Read it — focus on sections that reference business model, revenue, channels, or customer segments\n2. Identify conflicts where the downstream document's assumptions don't align with the canvas\n3. Note each conflict: file, section, stale claim, what it should now say\n\n**Classify the impact**:\n- **None**: No downstream docs exist, or no conflicts. Skip display.\n- **Minor** (1-2 small conflicts): Display inline.\n- **Major** (3+ conflicts OR customer segments changed, revenue model shifted, channel strategy changed): Display and recommend `$reconcile-research`.\n\n## Output\n\n### `research\u002Flean-canvas.md` (or `research\u002F{slug}\u002Flean-canvas.md`)\n\n```markdown\n# Lean Canvas\n\n> Based on: research\u002Ficp.md[, research\u002Fcompetitive-analysis.md, research\u002Fpositioning.md, research\u002Fvalue-prop.md, research\u002Fidea-brief.md]\n> Date: [current date]\n> Methodology: Lean Canvas (Ash Maurya)\n\n## Summary\n\n[2-3 sentence business model thesis — who the customer is, what problem you solve, how you make money, and what makes this defensible]\n\n## Lean Canvas\n\n### Problem\n\nTop 3 problems:\n1. [problem 1] — _Source: [reference]_\n2. [problem 2] — _Source: [reference]_\n3. [problem 3] — _Source: [reference]_\n\n**Existing alternatives**: [how customers solve these problems today]\n\n### Customer Segments\n\n**Primary segment**: [segment description]\n**Early adopters**: [most acute subset — who you target first]\n\n_Source: research\u002Ficp.md_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Unique Value Proposition\n\n**Single clear compelling message**:\n> [UVP statement]\n\n**High-level concept**: [X for Y analogy, if applicable]\n\n_Source: [research\u002Fpositioning.md or research\u002Fvalue-prop.md]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Solution\n\nTop 3 features addressing top 3 problems:\n1. [feature 1] → solves [problem 1]\n2. [feature 2] → solves [problem 2]\n3. [feature 3] → solves [problem 3]\n\n_Source: [research\u002Fidea-brief.md or product codebase]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Channels\n\n**Path to customers**:\n- [channel 1] — [rationale]\n- [channel 2] — [rationale]\n- [channel 3] — [rationale]\n\n_Source: [research\u002Fcompetitive-analysis.md, research\u002Ficp.md]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Revenue Streams\n\n> **HYPOTHESIS** — to be validated by `$monetization`\n\n- [revenue stream 1] — [pricing model]\n- [revenue stream 2] — [pricing model]\n\n**Price anchoring**: [what customers pay for alternatives today]\n\n_Source: [inferred from competitive analysis and positioning]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Cost Structure\n\n> **HYPOTHESIS** — to be validated by `$monetization`\n\n**Fixed costs**:\n- [cost 1]\n- [cost 2]\n\n**Variable costs**:\n- [cost 1]\n- [cost 2]\n\n_Source: [inferred from solution complexity and channel costs]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Key Metrics\n\n- [metric 1] — [what it measures and why it matters]\n- [metric 2] — [what it measures and why it matters]\n- [metric 3] — [what it measures and why it matters]\n\n_Source: [research\u002Fmetrics.md or hypothesized]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Unfair Advantage\n\n[Something that cannot be easily copied or bought]\n\n- [advantage 1] — [why it's defensible]\n- [advantage 2] — [why it's defensible]\n\n_Source: [research\u002Fpositioning.md unique attributes or competitive moat]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n## Hypothesis Register\n\n| Hypothesis | Section | Confidence | Validation Method | Status |\n|-----------|---------|------------|-------------------|--------|\n| [hypothesis 1] | Revenue Streams | [H\u002FM\u002FL] | [how to test] | Unvalidated |\n| [hypothesis 2] | Cost Structure | [H\u002FM\u002FL] | [how to test] | Unvalidated |\n| [hypothesis 3] | [section] | [H\u002FM\u002FL] | [how to test] | Unvalidated |\n\n**Riskiest hypothesis**: [which hypothesis, if wrong, would most undermine the business model]\n\n## Strategic Implications\n\n### Business Model Type\n[What type of business model this canvas describes — marketplace, SaaS, transactional, etc.]\n\n### Key Dependencies\n[What must be true for this business model to work]\n\n### Biggest Risks\n[Top 2-3 risks to the business model thesis]\n\n\u003C!-- Only include when downstream impact is Minor or Major -->\n## Downstream Impact\n\n> Checked: [list of downstream docs checked]\n> Impact: Minor | Major\n\n### Conflicts Found\n\n1. **research\u002F[file].md** — [Section Name]\n   - **Stale**: \"[exact quote]\"\n   - **Now**: [what the canvas says instead]\n\n[For Major only:]\n> **Recommended action**: Run `$reconcile-research` to audit and fix all affected downstream documents.\n\n## Next Steps\n\n**Recommended:** `$journey-map` — always the natural next step after synthesizing the business model\n\nOther options:\n- [conditional items from step 5]\n```\n\n### `research\u002Flean-canvas-search-log.md` (or `research\u002F{slug}\u002Flean-canvas-search-log.md`)\n\nRaw research log — queries, findings, evidence for each canvas section decision.\n\nCreate the `research\u002F` directory if it doesn't exist.\n\n## Task Classification\n\nWhen this skill produces follow-up work, file it by execution semantics:\n\n- Immediately actionable implementation or documentation work goes in `tasks\u002Ftodo.md`.\n- Human-only external actions tied to automated steps go in `tasks\u002Fmanual-todo.md` with `_(blocks: Step N.X)_` or `_(after: Step N.X)_`; repo edits, SDK wiring, generated assets, local commands, tests, audits, and authenticated CLI\u002FAPI work stay in `tasks\u002Ftodo.md`.\n- One-time condition-gated records, baselines, or future measurements go in `tasks\u002Frecord-todo.md` with source, condition, non-blocking reason, evidence, and promotion rule.\n- Cadence-based reviews, playtests, adoption checks, investor updates, retros, or docs-health checks go in `tasks\u002Frecurring-todo.md` with cadence, owner\u002Fagent, next due, evidence path, and escalation conditions.\n- Do not put non-blocking records or recurring obligations in `tasks\u002Ftodo.md` unless they have been explicitly promoted into current execution work.\n\n## Constraints\n\n- **Requires ICP.** A business model without customer understanding is fiction.\n- **Synthesis-first.** Every canvas section should trace to upstream research, not invented from scratch. If a section cannot be grounded in existing research, mark it as a hypothesis with Low confidence.\n- **Mark hypotheses honestly.** Revenue Streams and Cost Structure are hypotheses until `$monetization` validates them. Any other section without strong evidence should also be flagged.\n- **Present before writing.** Never write output files until the canvas has been presented and validated by the user.\n- **Do not overwrite existing `research\u002Flean-canvas.md`** without asking the user first.\n- **Lean Canvas ≠ full business plan.** This is a one-page hypothesis document. Do not expand it into a detailed business plan — that's a different deliverable.\n- **One canvas per product.** Don't try to capture multiple business models in a single canvas. If the product has multiple revenue models, pick the primary one and note alternatives.\n\n## Alignment Page\n\nWhen this skill produces durable deliverables (research, specs, plans, reports, prototypes, or any document output), build a full-depth HTML alignment page following `ALIGNMENT-PAGE.md` in this skill's directory. Output: `alignment\u002Flean-canvas-{topic}.html`.\n\n## Default Shipping Contract\n\nFollow the shared shipping contract convention in CLAUDE.md.\n","## Pack Availability Guard\n\nBefore telling the user to run a skill from another project-local pack, check `.agents\u002Fproject.json.enabled_packs`. If the target pack is not enabled, recommend `$pack install \u003Cpack>` instead of the target skill. Global skills are always valid. Skills from this same pack are valid because the current skill is already running from that pack.\n\n# Lean Canvas — One-Page Business Model Synthesis\n\nInvoke as `$lean-canvas`.\n\n## Report-First Approval Gate\n\nDefault to scope-first approval: before synthesized research, inspect only enough repository, user, and source context to propose research scope, source plan, assumptions, output paths, and approval questions in a `review` alignment page plus a concise conversation summary.\n\nDo not perform synthesized research, rank candidates, make recommendations, or write working packets or canonical deliverables until final compiled YAML approves the research scope. Minimal pre-approval discovery may identify available files, source categories, and open questions; label it as scope evidence, not findings.\n\nAfter approved research-scope YAML, perform the research and write only the non-canonical working packet defined in the staged workflow. Then update the `review` alignment page with findings and stop again for feedback-only YAML or final compiled YAML artifact approval before creating or updating canonical research, spec, or task files.\n\nDo not include `Recommended next skill`, `Recommended next command`, or downstream routing language. The approval request itself is the next action. Only emit next-skill routing after the approved artifact has been written or updated.\n\n## Staged Research Workflow\n\nUse this staged workflow for synthesized research or report outputs that would create or update canonical research, spec, or task files.\n\n1. **Stage 1 - Scope discovery and approval.** Inspect only enough repository, user, and source context to propose research scope, source plan, assumptions, output paths, and approval questions. Build the `review` HTML alignment page before synthesized research. The page must render the proposed scope, available source categories, known context, assumptions\u002Fconfidence, proposed working-packet and canonical output paths, and research-scope approval gates. Stop for final compiled YAML approval of the research scope. Do not perform synthesized research, rank candidates, make recommendations, or write working packets, canonical research, spec, or task files in Stage 1.\n2. **Stage 2 - Research and artifact review.** Only after approved research-scope YAML with no unresolved `needs-clarification`, unresolved `down` feedback, or other unresolved negative feedback, perform the synthesized research, run required source\u002Fcode checks, and write only a non-canonical working packet: flat mode uses `research\u002F_working\u002Fpreliminary-\u003Cskill>-research.md`; product-path mode uses `research\u002F{slug}\u002F_working\u002Fpreliminary-\u003Cskill>-research.md`. Replace `\u003Cskill>` with this skill's `name` value. Raw evidence or search logs may remain as supporting evidence where this skill already requires them, but synthesized deliverables stay in the working packet. Update the `review` HTML alignment page with the full preliminary packet, evidence matrix, assumptions\u002Fconfidence register, source coverage gaps, proposed canonical file changes, and artifact approval gates. Stop for either feedback-only YAML or final compiled YAML. Feedback-only YAML revises the working packet and page, then remains in Stage 2.\n3. **Stage 3 - Finalize approved artifacts.** Consume final compiled YAML for artifact approval only when it has no unresolved `needs-clarification`, unresolved `down` feedback, or other unresolved negative feedback. Apply approved edits first, archive the working packet to `docs\u002Fhistory\u002Farchive\u002FYYYY-MM-DD\u002FHHMMSS\u002F\u003Coriginal-working-path>`, remove the active working packet, write the approved canonical artifacts to the unchanged output paths below, and convert the alignment page to `confirmed` with the approval record preserved.\n\nCanonical output paths remain unchanged. Search logs and other supporting evidence remain allowed only where this skill's output contract already requires them.\n\n## Evidence And Feedback Handling\n\nTreat user feedback as input to evaluate, not as automatic ground truth.\n\n- For factual, evidentiary, technical, or source-backed claims: verify against available evidence. If the user appears to misunderstand the evidence or states something factually incorrect, push back clearly and cite the evidence. Do not rewrite findings merely to agree.\n- For taste, brand, positioning preference, risk appetite, prioritization, or other subjective judgment calls: weigh user feedback heavily and adapt the recommendation unless it conflicts with verified evidence.\n- When feedback mixes facts and preference, separate them explicitly: correct the factual part, then incorporate the preference where it is a legitimate judgment call.\n- When uncertain, say what is known, what is inferred, and what would change the conclusion.\n\n## Prerequisites\n\n- **Hard**: `research\u002Ficp.md` (or `research\u002F{slug}\u002Ficp.md`) must exist. If not, tell the user to run `$customer-discovery` first and stop.\n- **Soft**: Read these if they exist:\n  - `research\u002Fcompetitive-analysis.md` — competitor landscape, channel insights, business model patterns\n  - `research\u002Fjourney-map.md` — lifecycle moments where value, conversion, and retention occur\n  - `research\u002Fpositioning.md` — unique value proposition, market category, competitive alternatives\n  - `research\u002Fvalue-prop.md` — value propositions mapped to customer segments\n  - `research\u002Fidea-brief.md` — product concept, solution approach, feature set\n\n## Process\n\n### 0. Product-Path Scope Resolution\n\nResolve research scope by product path before using code or app structure as a hint:\n\n1. If `$ARGUMENTS` names a non-archived `research\u002F{slug}\u002F` directory or a product-path ID whose `scope_path` points there, use that path. Treat `{slug}` as the product\u002Fapp name, not the ICP, audience, or segment label.\n2. If `$ARGUMENTS` names only `research\u002F_archive\u002F{slug}\u002F` or a manifest entry with `status: archived` or legacy `status: abandoned`, stop and warn that the path is archived; do not write or update scoped outputs there.\n3. Read `research\u002F.progress.yaml` when present. Normalize legacy `active_path` to `active_paths` on read and write back `active_paths` on manifest updates. Treat legacy `abandoned` as `archived`; exclude `archived`, `abandoned`, `deferred`, `revisit_candidate`, `promoted`, and any `scope_path` under `research\u002F_archive\u002F` from active target selection.\n4. If active product paths exist in the manifest, use those paths. If multiple active paths exist, ask which one to target unless this skill explicitly supports cross-path output.\n5. If no active manifest target exists, list non-archived product directories under `research\u002F`, excluding `research\u002F_archive\u002F` and dot directories. Auto-select only when exactly one exists; ask when multiple exist.\n6. If no product directories exist, use flat `research\u002F` single-product mode.\n7. Detect monorepo\u002Fapp\u002Fpackage structure only as a secondary hint. Suggest creating a missing `research\u002F{slug}\u002F` product path when code clearly exposes an app, but do not require code or monorepo detection before using `research\u002F{slug}\u002F`.\n\nWhen product path `{slug}` is active, read and write research under `research\u002F{slug}\u002F`, specs under `specs\u002F{slug}\u002F`, and treat top-level `research\u002F*.md` files as flat-mode documents or cross-path summaries.\n\n### 1. Load Context\n\n- Read `research\u002Ficp.md` — ICP segments, pain points, jobs to be done, trigger events\n- Read `research\u002Fcompetitive-analysis.md` if it exists — competitor landscape, channel strategies, business model patterns\n- Read `research\u002Fpositioning.md` if it exists — unique attributes, value mapping, market category, competitive alternatives\n- Read `research\u002Fvalue-prop.md` if it exists — value propositions per segment\n- Read `research\u002Fidea-brief.md` if it exists — product concept, solution approach, features\n- Read CLAUDE.md, README, and key source files for product context\n\n### 2. Research Lean Canvas Methodology\n\nUse WebSearch with **4-6 targeted queries**:\n\n1. **Domain-specific canvases** — \"lean canvas [domain]\", \"lean canvas examples [category]\"\n2. **Methodology** — \"Ash Maurya lean canvas best practices\", \"lean canvas vs business model canvas differences\"\n3. **Business models** — \"one page business model [industry]\", \"[category] business model patterns\"\n4. **Revenue patterns** — \"[category] revenue models\", \"[domain] pricing strategies\"\n5. **Channel strategies** — \"[category] customer acquisition channels\", \"[domain] distribution strategies\"\n\n### 3. Synthesize Canvas Sections\n\nMap each Lean Canvas section from upstream research:\n\n- **Problem** — Top 3 problems from ICP pain points. Source: `research\u002Ficp.md`\n- **Customer Segments** — Primary and secondary segments from ICP. Source: `research\u002Ficp.md`\n- **Unique Value Proposition** — From positioning UVP statement, or `research\u002Fvalue-prop.md` if positioning doesn't exist. This is the single clear compelling message that states why you are different and worth buying.\n- **Solution** — Top 3 features or capabilities that address the top 3 problems. Source: `research\u002Fidea-brief.md` or product codebase.\n- **Channels** — Path to customers. Source: `research\u002Fcompetitive-analysis.md` channel insights, ICP \"where they hang out.\"\n- **Revenue Streams** — **HYPOTHESIS** — mark \"to be validated by `$monetization`\". Infer from competitive analysis pricing patterns and positioning (premium vs. value).\n- **Cost Structure** — **HYPOTHESIS** — mark \"to be validated by `$monetization`\". Infer from solution complexity, channel costs, and competitive analysis.\n- **Key Metrics** — From `research\u002Fmetrics.md` if it exists, otherwise hypothesize key pirate metrics (AARRR) relevant to the business model.\n- **Unfair Advantage** — From positioning unique attributes or competitive moat. Something that cannot be easily copied or bought.\n\nIf the session is already in Plan mode and there are 2-3 concrete choices, prefer `request_user_input`; otherwise ask in plain text:\n- \"Here's the Lean Canvas synthesized from research. Which sections need correction, stronger grounding, or are missing critical context?\"\n\n### 4. Validate Hypotheses\n\nFor sections marked as hypotheses (Revenue Streams, Cost Structure, and any others with low evidence), note:\n- **Confidence level**: High \u002F Medium \u002F Low\n- **What would validate** each hypothesis\n- **What would invalidate** each hypothesis\n- **Riskiest assumption** within each section\n\nIf the session is already in Plan mode and there are 2-3 concrete choices, prefer `request_user_input`; otherwise ask in plain text:\n- \"These are the unvalidated hypotheses. Which are highest risk and should be tested first?\"\n\n### 5. Populate Next Steps\n\nInclude a **Recommended** item (the single highest-impact next step given current project state) with a one-line reason, followed by **Other options** (2-4 alternatives). Use this format in the output:\n\n## Next Steps\n\n**Recommended:** `$user-flow-map [business-model-informed product direction]` — return to the default AFPS prototype path by mapping screen flow before UI requirements and layout variants\n\nOther options:\n- IF Revenue\u002FCost hypotheses need validation: `$monetization` — Validate revenue model and cost structure hypotheses\n- IF riskiest hypothesis identified: `$experiment [riskiest hypothesis]` — Test the riskiest assumption with a structured experiment\n- IF no `research\u002Fpositioning.md`: `$positioning` — Establish strategic positioning to strengthen UVP and Unfair Advantage sections\n- IF no `research\u002Fjourney-map.md`: `$journey-map` — Map the customer journey before continuing UX, growth, or spec work\n\n### 6. Write Output\n\nOnly after the user confirms, write the output files.\n\n### 7. Downstream Impact Check\n\nAfter writing, check for downstream research documents that may be affected.\n\n**Downstream documents to check** (use `{slug}\u002F` prefix when product-path scope is active):\n- `research\u002Fjourney-map.md`\n- `research\u002Fmonetization.md`\n\nFor each existing downstream document:\n1. Read it — focus on sections that reference business model, revenue, channels, or customer segments\n2. Identify conflicts where the downstream document's assumptions don't align with the canvas\n3. Note each conflict: file, section, stale claim, what it should now say\n\n**Classify the impact**:\n- **None**: No downstream docs exist, or no conflicts. Skip display.\n- **Minor** (1-2 small conflicts): Display inline.\n- **Major** (3+ conflicts OR customer segments changed, revenue model shifted, channel strategy changed): Display and recommend `$reconcile-research`.\n\n## Output\n\n### `research\u002Flean-canvas.md` (or `research\u002F{slug}\u002Flean-canvas.md`)\n\n```markdown\n# Lean Canvas\n\n> Based on: research\u002Ficp.md[, research\u002Fcompetitive-analysis.md, research\u002Fpositioning.md, research\u002Fvalue-prop.md, research\u002Fidea-brief.md]\n> Date: [current date]\n> Methodology: Lean Canvas (Ash Maurya)\n\n## Summary\n\n[2-3 sentence business model thesis — who the customer is, what problem you solve, how you make money, and what makes this defensible]\n\n## Lean Canvas\n\n### Problem\n\nTop 3 problems:\n1. [problem 1] — _Source: [reference]_\n2. [problem 2] — _Source: [reference]_\n3. [problem 3] — _Source: [reference]_\n\n**Existing alternatives**: [how customers solve these problems today]\n\n### Customer Segments\n\n**Primary segment**: [segment description]\n**Early adopters**: [most acute subset — who you target first]\n\n_Source: research\u002Ficp.md_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Unique Value Proposition\n\n**Single clear compelling message**:\n> [UVP statement]\n\n**High-level concept**: [X for Y analogy, if applicable]\n\n_Source: [research\u002Fpositioning.md or research\u002Fvalue-prop.md]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Solution\n\nTop 3 features addressing top 3 problems:\n1. [feature 1] → solves [problem 1]\n2. [feature 2] → solves [problem 2]\n3. [feature 3] → solves [problem 3]\n\n_Source: [research\u002Fidea-brief.md or product codebase]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Channels\n\n**Path to customers**:\n- [channel 1] — [rationale]\n- [channel 2] — [rationale]\n- [channel 3] — [rationale]\n\n_Source: [research\u002Fcompetitive-analysis.md, research\u002Ficp.md]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Revenue Streams\n\n> **HYPOTHESIS** — to be validated by `$monetization`\n\n- [revenue stream 1] — [pricing model]\n- [revenue stream 2] — [pricing model]\n\n**Price anchoring**: [what customers pay for alternatives today]\n\n_Source: [inferred from competitive analysis and positioning]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Cost Structure\n\n> **HYPOTHESIS** — to be validated by `$monetization`\n\n**Fixed costs**:\n- [cost 1]\n- [cost 2]\n\n**Variable costs**:\n- [cost 1]\n- [cost 2]\n\n_Source: [inferred from solution complexity and channel costs]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Key Metrics\n\n- [metric 1] — [what it measures and why it matters]\n- [metric 2] — [what it measures and why it matters]\n- [metric 3] — [what it measures and why it matters]\n\n_Source: [research\u002Fmetrics.md or hypothesized]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n### Unfair Advantage\n\n[Something that cannot be easily copied or bought]\n\n- [advantage 1] — [why it's defensible]\n- [advantage 2] — [why it's defensible]\n\n_Source: [research\u002Fpositioning.md unique attributes or competitive moat]_\n_Confidence: [High\u002FMedium\u002FLow]_\n\n## Hypothesis Register\n\n| Hypothesis | Section | Confidence | Validation Method | Status |\n|-----------|---------|------------|-------------------|--------|\n| [hypothesis 1] | Revenue Streams | [H\u002FM\u002FL] | [how to test] | Unvalidated |\n| [hypothesis 2] | Cost Structure | [H\u002FM\u002FL] | [how to test] | Unvalidated |\n| [hypothesis 3] | [section] | [H\u002FM\u002FL] | [how to test] | Unvalidated |\n\n**Riskiest hypothesis**: [which hypothesis, if wrong, would most undermine the business model]\n\n## Strategic Implications\n\n### Business Model Type\n[What type of business model this canvas describes — marketplace, SaaS, transactional, etc.]\n\n### Key Dependencies\n[What must be true for this business model to work]\n\n### Biggest Risks\n[Top 2-3 risks to the business model thesis]\n\n\u003C!-- Only include when downstream impact is Minor or Major -->\n## Downstream Impact\n\n> Checked: [list of downstream docs checked]\n> Impact: Minor | Major\n\n### Conflicts Found\n\n1. **research\u002F[file].md** — [Section Name]\n   - **Stale**: \"[exact quote]\"\n   - **Now**: [what the canvas says instead]\n\n[For Major only:]\n> **Recommended action**: Run `$reconcile-research` to audit and fix all affected downstream documents.\n\n## Next Steps\n\n**Recommended:** `$journey-map` — always the natural next step after synthesizing the business model\n\nOther options:\n- [conditional items from step 5]\n```\n\n### `research\u002Flean-canvas-search-log.md` (or `research\u002F{slug}\u002Flean-canvas-search-log.md`)\n\nRaw research log — queries, findings, evidence for each canvas section decision.\n\nCreate the `research\u002F` directory if it doesn't exist.\n\n## Task Classification\n\nWhen this skill produces follow-up work, file it by execution semantics:\n\n- Immediately actionable implementation or documentation work goes in `tasks\u002Ftodo.md`.\n- Human-only external actions tied to automated steps go in `tasks\u002Fmanual-todo.md` with `_(blocks: Step N.X)_` or `_(after: Step N.X)_`; repo edits, SDK wiring, generated assets, local commands, tests, audits, and authenticated CLI\u002FAPI work stay in `tasks\u002Ftodo.md`.\n- One-time condition-gated records, baselines, or future measurements go in `tasks\u002Frecord-todo.md` with source, condition, non-blocking reason, evidence, and promotion rule.\n- Cadence-based reviews, playtests, adoption checks, investor updates, retros, or docs-health checks go in `tasks\u002Frecurring-todo.md` with cadence, owner\u002Fagent, next due, evidence path, and escalation conditions.\n- Do not put non-blocking records or recurring obligations in `tasks\u002Ftodo.md` unless they have been explicitly promoted into current execution work.\n\n## Constraints\n\n- **Requires ICP.** A business model without customer understanding is fiction.\n- **Synthesis-first.** Every canvas section should trace to upstream research, not invented from scratch. If a section cannot be grounded in existing research, mark it as a hypothesis with Low confidence.\n- **Mark hypotheses honestly.** Revenue Streams and Cost Structure are hypotheses until `$monetization` validates them. Any other section without strong evidence should also be flagged.\n- **Present before writing.** Never write output files until the canvas has been presented and validated by the user.\n- **Do not overwrite existing `research\u002Flean-canvas.md`** without asking the user first.\n- **Lean Canvas ≠ full business plan.** This is a one-page hypothesis document. Do not expand it into a detailed business plan — that's a different deliverable.\n- **One canvas per product.** Don't try to capture multiple business models in a single canvas. If the product has multiple revenue models, pick the primary one and note alternatives.\n\n## Alignment Page\n\nWhen this skill produces durable deliverables (research, specs, plans, reports, prototypes, or any document output), build a full-depth HTML alignment page following `ALIGNMENT-PAGE.md` in this skill's directory. Output: `alignment\u002Flean-canvas-{topic}.html`.\n\n## Default Shipping Contract\n\nFollow the shared shipping contract convention in CLAUDE.md.\n",{"name":5,"type":30,"version":44,"description":7,"visual_tier":38,"argument-hint":45,"interview_depth":46},"v0.8","[optional: focus area e.g. \"revenue model\", \"channels\"]","light","master","96e2912af886dd1606b1b97df707715aef062b02","packs\u002Fbusiness-research\u002Fcodex\u002Flean-canvas\u002Farchive\u002Fv0.8",0,"https:\u002F\u002Fgithub.com\u002FGeorgeQLe\u002Fagentic-skills","https:\u002F\u002Fagentic-skills-blush.vercel.app","https:\u002F\u002Fgithub.com\u002FGeorgeQLe","georgeqle.com","George Le is a futurist and serial tech entrepreneur who wants to work toward a world where humanity is free from robotic tasks.","2026-11-10 04:07:24",{"source":8,"skillName":5,"commands":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add GeorgeQLe\u002Fagentic-skills --skill 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