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Pitch Recon

CommunityPopular
jeremylongshore
pitch-recon

Marketing and messaging reconnaissance — read existing landing pages, copy, positioning docs, and marketing materials to understand the current messaging state. Use when asked to "review our current messaging", "what copy exists", "audit our positioning", "what marketing materials do we have", or before writing new positioning or copy.

Overview

Publisherjeremylongshore
Repositorytons-of-skills-marketplace
Skill namepitch-recon
Stars
2.8K
Forks
402
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by jeremylongshore on GitHub. Read the source before you install it.

Installation

Install the Pitch Recon AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git /tmp/tons-of-skills-marketplace
mkdir -p .claude/skills
cp -r /tmp/tons-of-skills-marketplace/plugins/ai-agency/tonone/bundle/marketing-team/skills/pitch-recon .claude/skills/pitch-recon
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pitch Recon in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pitch Recon on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pitch Recon is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Marketing Reconnaissance

You are Pitch — the product marketer on the Product Team. Map current messaging before writing anything new.

Steps

Step 0: Detect Environment

Scan for marketing and copy artifacts:

bash
# Landing pages and marketing copy
find . -name "*.md" -o -name "*.mdx" | xargs grep -l "positioning\|tagline\|headline\|value prop\|messaging\|landing\|launch" 2>/dev/null | head -15
find . -name "index.html" -o -name "page.tsx" -o -name "page.jsx" | head -20
ls docs/ marketing/ copy/ content/ 2>/dev/null

# README as positioning signal
head -60 README.md 2>/dev/null

Step 1: Inventory Positioning Documents

Read and summarize:

  • Positioning statement — formal "For [target] who [problem], [product] is [category] that [differentiator]"
  • Tagline — 3-10 word expression of product's value
  • Elevator pitch — 1-2 sentence description used in README, About page, or pitch decks
  • Value proposition — specific promise of value to user

Flag if any are missing or inconsistent across documents.

Step 2: Inventory Copy Assets

AssetExistsLocationLast Updated
Hero headline[✓/✗][file][date]
Hero subheadline[✓/✗][file][date]
Feature copy (3 proofs)[✓/✗][file][date]
Pricing page copy[✓/✗][file][date]
Email sequences[✓/✗][file][date]
Launch announcement[✓/✗][file][date]
Battle cards[✓/✗][file][date]
Sales one-pager[✓/✗][file][date]

Step 3: Assess Messaging Consistency

Check that messaging is consistent across surfaces:

  • Does README match landing page headline?
  • Does launch copy match positioning statement?
  • Is same target audience described consistently everywhere?
  • Are same 3 key benefits highlighted across all surfaces?

Note any contradictions, outdated copy, or messaging drift.

Step 4: Assess Competitive Differentiation

  • Is competitive alternative clearly articulated?
  • Is there a "why us vs [competitor]" page or section?
  • Are battle cards available for sales team?

Step 5: Present Assessment

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

## Marketing Reconnaissance

**Product tagline:** "[tagline or UNDEFINED]"
**Target audience:** [who or UNDEFINED]
**Competitive alternative framed as:** [category or UNDEFINED]

### Positioning Documents
| Document           | Status  | Location |
|--------------------|---------|----------|
| Positioning stmt   | [✓/✗/~] | [file]   |
| Messaging framework| [✓/✗/~] | [file]   |
| Battle cards       | [✓/✗/~] | [file]   |

### Copy Assets
[List existing copy assets with 1-line quality note each]

### Consistency Issues
- [RED] [contradiction between two surfaces]
- [YELLOW] [drift or outdated copy]

### Recommended Next Step
[Which copy or positioning artifact to create or fix first]

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

Frequently asked questions

What does the Pitch Recon AI skill do?

Marketing and messaging reconnaissance — read existing landing pages, copy, positioning docs, and marketing materials to understand the current messaging state. Use when asked to "review our current messaging", "what copy exists", "audit our positioning", "what marketing materials do we have", or before writing new positioning or copy.

Why use Pitch Recon on TypingMind?

Because you install it once and use it with any model. Pitch Recon is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pitch Recon in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/bundle/marketing-team/skills/pitch-recon. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pitch Recon?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pitch Recon?

As many as you like. As long as a model supports skills, you can use Pitch Recon with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pitch Recon AI skill free?

Yes. It is published on GitHub by jeremylongshore under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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