multi-output-content-planner

Design multi-output content plans from mixed source collections.

Updated May 6, 2026
One-click install
npx skills add https://github.com/Takfes/indie-scaffolder --skill multi-output-content-planner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-output-content-planner
Source: https://github.com/Takfes/indie-scaffolder/tree/main/components/agent-skills-commands/.agents/skills/multi-output-content-planner
Command: npx skills add https://github.com/Takfes/indie-scaffolder --skill multi-output-content-planner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the friction of planning complex content systems by turning one research source collection into a coordinated set of outputs with clear audience focus, scope, and success criteria.

Core Features & Use Cases

  • Strategic Deliverable Planning: Chooses the right mix of outputs for a specific audience and purpose instead of inventing each piece from scratch.
  • Prompt and Scope Optimization: Converts audience, goal, depth, and constraints into tailored prompts for each deliverable.
  • Multi-Source Content Production: Works well for training packs, research syntheses, executive briefings, technical guides, FAQs, slide decks, and visual summaries.
  • Use Case: If you have a large set of videos, papers, or documents about a topic, this Skill can design a coherent package of deliverables for executives, practitioners, and learners without repeatedly asking the same planning questions.

Quick Start

Ask the assistant to plan a multi-output content package from your sources by providing the audience, purpose, detail level, number of deliverables, and success criteria.

Frequently Asked Questions about multi-output-content-planner

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

FAQPage Schema
How do I plan multiple content deliverables from a collection of research sources?

Plan multiple content deliverables by defining your target audience, purpose, detail level, and success criteria upfront. This allows you to generate a coordinated set of tailored outputs like executive briefings and technical guides from mixed sources like videos, papers, and PDFs without redundant planning.

How do I turn mixed media sources into aligned outputs for different audiences?

Turn mixed media sources into aligned outputs by loading videos, web articles, and PDFs into a unified system. The process applies strategic audience intake to map source materials into distinct deliverables like training packs or slide decks suited for specific reader groups.

What is the best way to optimize prompts for multiple content outputs from one research set?

Optimize prompts for multiple content outputs by converting your audience goals, depth constraints, and scope into tailored instructions for each deliverable. This ensures each generated artifact, from FAQs to visual summaries, precisely matches its intended purpose.

Can I use NotebookLM to generate a multi-output content package from my documents?

Yes, you can use NotebookLM to generate a multi-output content package through real MCP execution. The workflow loads your source documents and executes the designed content plan directly across NotebookLM artifacts to produce coherent deliverables.

Does multi-output content planning work for both executive briefings and technical guides?

Yes, multi-output content planning works for both executive briefings and technical guides. It designs a coherent package of deliverables specifically scoped for executives, practitioners, and learners, ensuring each output aligns with its distinct audience requirements.

What do I need to provide to start a multi-output content plan from my sources?

To start a multi-output content plan, you need to provide your source collection and specify the target audience, purpose, desired detail level, number of deliverables, and success criteria. This inputs drive the strategic deliverable templating and prompt optimization process.