positioning-framework

Name: positioning-framework
Availability: InStock
Author: FunnelEnvy

Research a target company and generate L0 and L1 context files.

1|Updated Apr 17, 2026

Search Tags:#messaging #positioning #deliverables #competitive-analysis #context-files #L1 #L0

Ready to run

npx skills add https://github.com/FunnelEnvy/funnelenvy-skills --skill positioning-framework

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: positioning-framework
Source: https://github.com/FunnelEnvy/funnelenvy-skills/tree/main/skills/positioning-framework
Command: npx skills add https://github.com/FunnelEnvy/funnelenvy-skills --skill positioning-framework

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams build, audit, and update a company's positioning and messaging framework by generating structured context files from autonomous research, enabling downstream deliverables.

Core Features & Use Cases

Produces .claude/context/ L0 and L1 context files that power downstream deliverables.
Runs autonomous research by default and supports depth levels: quick, standard, deep.
Integrates with render-default-deliverables to produce client-ready outputs.

Quick Start

Provide a company URL to begin autonomous research and generate L0/L1 context files.

Frequently Asked Questions about positioning-framework

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

FAQPage Schema

How do I generate a company positioning and messaging framework from autonomous research?▼

Positioning context files are structured L0 and L1 data documents that capture a company's market positioning, messaging framework, and competitive analysis. They act as foundational layers to power client-ready deliverables and downstream marketing outputs.

Can I run competitive analysis at different depth levels for my messaging framework?▼

Yes, competitive analysis supports quick, standard, and deep depth modes. You can load client-provided intake data to guide the research or rely entirely on the default autonomous research mechanism to generate the required positioning context files.

How do I render client-ready deliverables from L0 and L1 context files?▼

Use the render-default-deliverables component to process L0 and L1 context files into client-ready deliverables. It consumes the frontmatter-ready context generated by the autonomous research to produce finalized messaging and positioning outputs.

What is the best way to audit and update an existing company positioning framework?▼

Run autonomous research against the target company URL to generate fresh L0 and L1 context files. This rebuilds the messaging baseline using structured competitive analysis, allowing you to audit and update the existing positioning framework accurately.

Do I need to provide client intake data before generating positioning context files?▼

No, you do not need to provide client intake data before generating positioning context files. The framework runs autonomous research by default using a company URL, while still supporting the option to load client-provided intake if available.