SuperAPI AI Directory

lov-bp-deck

Office & productivity

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Updated 10-23 03:49

About this skill

BP Master · BP Master

Produce the presentation after the investment narrative is approved. This skill owns style selection, visual specification, rendering, export, and final-image QA; it does not invent missing business evidence.

Input Gate

Required:

  • approved outline.md or equivalent page-by-page narrative;
  • evidence/source notes for core claims;
  • project/company name.

Recommended:

  • brand logo and primary color;
  • real product screenshots;
  • founder/team photos;
  • source data for charts;
  • website/contact destination and QR asset.

If the outline lacks a clear product definition, financing ask, or source-backed core numbers, stop and recommend lov-bp-outline before rendering.

Output Contract

business-plan/
├── outline.md
├── assets/
├── deck-manifest.md
├── 01-slide-cover.png
├── ...
├── project-bp.pptx
├── project-bp.pdf
└── project-bp-preview.png

Workflow (MANDATORY)

Step 0: Resolve input and dependency

Resolve this skill directory as SKILL_DIR and locate the user's approved outline. Resolve lov-any2deck through the active Agent Skills environment; do not assume an author's private installation path.

Read references/user-config.md and references/charts-and-visuals.md.

Step 1: Lock the narrative

Do not rewrite the storyline during style exploration. Check:

  • 12–15 slides unless the user explicitly chooses otherwise;
  • one conclusion per slide;
  • evidence IDs/source notes on core claims;
  • chart type and exact data mapping;
  • no placeholder or fabricated metric.

Send evidence blockers back to bp-outline. Small copy corrections may be recorded in deck-manifest.md and applied without changing the thesis.

Step 2: Select style with minimal friction

Infer style from brand, audience, reference images, and the outline. If the user has not selected a direction, use AskUserQuestion once with 2–3 concrete options.

Recommended first option for seed-stage investors:

Clean editorial — white/warm-gray background, one brand color, dark conclusion headlines, real screenshots, consulting-grade charts, and restrained decoration.

Alternative options:

  • Product keynote — more whitespace and product/demo emphasis;
  • Consulting report — denser evidence and chart emphasis;
  • Reference-led — derive a design system from a supplied visual reference.

If the user says "按推荐方案" or "不要问", use clean editorial.

Step 3: Write deck-manifest.md

Record before rendering:

  • outline path and version;
  • audience, language, slide count, and presentation duration;
  • style name, palette, typography, spacing, and safe margins;
  • logos, screenshots, photos, data, and QR assets;
  • naming convention;
  • expected PPTX/PDF/preview paths;
  • any slide intentionally marked illustrative.

Step 4: Generate with lov-any2deck

Invoke lov-any2deck using the approved outline and chosen style. Preserve the BP page order and evidence notes. Use 16:9, body text at least 20 pt, and a single dominant visual per page.

Prefer:

  • real product screenshots and user scenes;
  • process diagrams and evidence ladders;
  • source-backed charts with axes, units, dates, legends, and notes;
  • simple cover and one clear final contact action.

Avoid stock-photo filler, decorative card walls, gradients, tiny source text, fake dashboards, and unsourced growth curves.

Step 5: Export and inspect

Produce editable PPTX, PDF, all slide images, and one full-deck preview. Review every page at presentation size:

  • no clipped/overlapping text or broken CJK;
  • title/body/source hierarchy is consistent;
  • logos are optically balanced;
  • images are not stretched;
  • chart values match the evidence ledger;
  • product screenshots are genuine and legible;
  • QR codes decode from the final rendered slide;
  • PPTX and PDF page counts match;
  • filenames include project, document type, and date/version.

Regenerate only affected slides. Record the result in deck-manifest.md.

Step 6: Handoff

Return PPTX, PDF, preview, manifest, and any unresolved visual risks. Recommend lov-bp-polish for an adversarial final review.

Recommended Next Step

$lov-bp-polish ./business-plan/project-bp.pdf --full

Runtime context (shared)

Before running, read this Skill package's skill.yaml, with skill-runtime/v1 context provided by the host. Field resolution order is: current request, project context, personal Preferences, brand Profile, general defaults.

  • Use only fields declared in the Manifest; Profile stores public brand facts, Preferences stores personal work preferences.
  • required: true When a field is missing, ask the user one focused question according to the Manifest's question configuration; save the answer only after the user explicitly agrees.
  • Errors provide a copyable context_id, field path and source; diagnostic content avoids secrets, full private paths and raw configuration.

General feedback loop

When the user raises revision feedback during a Skill-driven task, before continuing the current artifact you must perform:

  1. First determine whether the feedback is task-specific(this time only) or reusable(reusable across tasks).
  2. task-specific Modify only the current task, not the Skill.
  3. reusable First determine the scope: domain rules first update the corresponding canonical Skill; rules that apply to all Skills first update the shared specification.
  4. After completing the rule update, version, lint and distribution verification, then apply the change to the current task.
  5. reusable A modification invalidates prior "confirm", "continue" and "send it"; 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, committing or other external writes.