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ppt-info-pack

Aggregate user inputs, uploads, and research into a traceable JSON info-pack.

8|Updated Feb 25, 2026
Search Tags:#traceability#ppt#storyboard#data-structuring#content-aggregation#info-pack#info-atom
One-click install
npx skills add https://github.com/SenseTime-FVG/sensenova-claw --skill ppt-info-pack
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ppt-info-pack
Source: https://github.com/SenseTime-FVG/sensenova-claw/tree/main/.sensenova-claw/skills/ppt-info-pack
Command: npx skills add https://github.com/SenseTime-FVG/sensenova-claw --skill ppt-info-pack

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill consolidates scattered user input, uploaded materials, and research outputs into a single, traceable JSON information source for presentation storyboarding, eliminating ad-hoc lookups and inconsistent data during slide creation.

Core Features & Use Cases

  • Aggregates task-pack.json, optional source-map.json, optional research-pack.json and uploaded materials into a normalized info-pack.json containing stable InfoAtom entries with atom_id, source tracing, and confidence metadata.
  • Structures chart data, metrics, titles, captions, and other visible elements into explicit payloads so downstream storyboard and page rendering can reference atoms reliably; records known_gaps or unresolved_atoms when data is missing.
  • Use case: prepare a deck's unified content pool before layout so designers and automated storyboard steps only consume the verified info-pack.json and avoid re-parsing original uploads or research outputs.

Quick Start

Run the ppt-info-pack step to read task-pack.json and any available uploads or research, then emit info-pack.json in the deck directory containing stable InfoAtom records and gap markers.

Frequently Asked Questions about ppt-info-pack

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I consolidate scattered research and uploads into traceable data for presentation storyboarding?▼

To consolidate scattered inputs for presentation storyboarding, aggregate user text, uploaded files, and research outputs into a single normalized JSON info-pack containing stable InfoAtom records with source tracing and confidence metadata.

What is an InfoAtom record and how does it help pre-layout slide rendering?▼

An InfoAtom record is a structured data entry within the info-pack that contains a stable atom_id, source_type, and source_ref tracing. It helps pre-layout slide rendering by providing explicit payloads for charts, metrics, and titles so downstream steps reference verified data reliably.

How do I handle missing data or incomplete research when structuring presentation content?▼

When structuring presentation content with missing data, the aggregation process records known_gaps and unresolved_atoms explicitly within the JSON info-pack, allowing downstream storyboard and page rendering steps to identify incomplete information without re-parsing original uploads.

Can I use uploaded files and research outputs together to prepare a unified content pool for deck generation?▼

Yes, you can aggregate task-pack.json, optional source-map.json, optional research-pack.json, and uploaded materials together into a normalized info-pack.json, creating a unified content pool that designers and automated rendering steps consume without parsing original sources.

Best way to structure chart data and metrics before laying out a presentation deck?▼

The best way to structure chart data and metrics before layout is to aggregate them into explicit structured payloads within an info-pack.json, assigning each element a stable atom_id and confidence metadata so storyboard rendering can reference the atoms reliably.

Why does my presentation storyboard have inconsistent data across slides?▼

Inconsistent data across slides occurs when storyboard steps parse original uploads independently; consolidating all inputs into a single traceable JSON info-pack with stable InfoAtom records eliminates ad-hoc lookups and ensures downstream rendering consumes verified, uniform data.

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