Build the investment story before choosing a visual style. This skill stops at an approved, source-backed outline and does not generate PPTX/PDF.
Input
Any combination of:
- repository, product docs, PRD, website, prior applications, or existing BP;
- analytics exports, payment/usage data, GitHub evidence, and customer notes;
- product screenshots, founder profile, team history, brand assets;
- financing stage, amount, equity/instrument, and milestones.
Output Contract
business-plan/
├── brief.md
├── evidence-ledger.md
├── outline.md
└── assets/
The output is ready for lov-bp-deck only when the evidence gate passes.
Workflow (MANDATORY)
Step 0: Resolve the skill and workspace
Resolve this SKILL.md directory as SKILL_DIR. If the user already has a
business-plan/ workspace, continue in it. Otherwise initialize one:
python3 "$SKILL_DIR/scripts/init_bp.py" \
--name "Project Name" \
--stage seed \
--output ./business-plan
Read references/user-config.md for portable path and brand resolution.
Step 1: Inspect before asking
Search the user's supplied scope first. Prefer exact repo/files/URLs over broad discovery. Extract known audience, financing stage, ask, product, buyer, traction, business model, market, competition, growth, and team evidence.
Ask at most one compact round of questions for missing decisions that materially change the outline. If the user says "不要问" or "按推荐方案", assume seed investors, 12–15 slides, 8–10 minutes, and mark the financing ask as a visible gap if unknown.
Step 2: Build the evidence ledger
Record every material claim as:
- fact;
- inference;
- assumption;
- missing.
Include source, as-of date, slide destination, and next action. For changing claims,
verify current authoritative sources. Never substitute a broad AI forecast for a
buyer-linked market calculation. Read references/evidence-and-market.md.
Step 3: Define the investor-readable product
Before the vision, draft three one-line definitions:
- literal category;
- accurate comparator (“X for Y”);
- category-creation language with a plain-language explanation.
Choose the line a non-technical investor can repeat after ten seconds. Separate:
early wedge → adjacent users → long-term market
Treat technical modes as implementation unless the buyer actually pays for the
mechanism. Read references/investor-story.md.
Step 4: Write the 12–15 page argument
Use this 12-page base:
- one sentence: who you are;
- concrete user problem;
- how the product solves it;
- product demo or core experience;
- why now;
- real validation;
- business model;
- market size and wedge;
- competition and differentiation;
- growth plan;
- why this team;
- financing ask, use, and next proof.
Expand only when a product demo, moat, B2B deployment model, or financial model
needs a dedicated page. Read references/deck-architecture.md.
Each slide entry must contain:
- conclusion headline;
- investor takeaway;
- evidence IDs and sources;
- exact visual/chart proof;
- speaker purpose;
- unresolved gap or “none”.
Step 5: Run the evidence gate
The outline is ready only when:
- all 12 investor questions are covered;
- the product definition is investor-readable;
- every core number traces to evidence or a labeled assumption;
- traction stages and denominators are not mixed;
- TAM/SAM/SOM has a buyer-price-reachability bridge;
- the financing ask connects to 18–24 month validation milestones;
- no placeholder is hidden as final copy.
Report the page map and at most five evidence gaps. Do not start slide generation
unless the user asked for a complete BP or explicitly continues with bp-deck.
Recommended Next Step
$lov-bp-deck ./business-plan/outline.md
Runtime context (shared)
Before running, read this Skill package's skill.yaml, provided by the host skill-runtime/v1 context. Field resolution order is: current request, project context, personal Preferences, brand Profile, general defaults.
- Use only the fields declared in the Manifest; Profile stores public brand facts, Preferences stores personal work preferences.
required: trueWhen a field is missing, ask the user one focused question per the Manifest's question configuration; save the answer only after the user explicitly agrees.- Errors provide a copyable
context_id, field path and source, and diagnostics avoid secrets, full private paths and raw configuration.
General feedback loop
When the user gives revision feedback during a Skill-driven task, the following must be executed before continuing the current artifact:
- First determine whether the feedback is
task-specific(this instance only) orreusable(reusable across tasks). task-specificModify only the current task; do not change the Skill.reusableFirst determine the scope: update the corresponding canonical Skill first for domain rules; update the shared specification first for rules that apply to all Skills.- After completing rule updates, versioning, lint and distribution verification, then apply the changes to the current task.
reusableA modification invalidates prior "confirm", "continue" or "send it" approvals; after completing the current artifact modification and read-back, you must stop and wait for the user's next instruction, without automatically proceeding to publishing, submission or other external writes.