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Suede Product Marketing

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JasonColapietro
suede-product-marketing

Suede AI Product Marketing Skills: versioned audience, ICP, positioning, alternatives, objections, verbatim customer language, proof, goals, and entity facts. Use when asked "create our product marketing context" or to update .agents/product-marketing.md from supplied records or a codebase. NOT FOR: campaign writing (suede-campaign-in-a-box), new interviews (suede-customer-research), contested positioning (suede-marketing-council), or publishing claims.

Overview

PublisherJasonColapietro
Repositorysuede-creator-skills
Skill namesuede-product-marketing
Stars
126
Forks
12
Bundled files
4
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Suede Product Marketing 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.
    https://github.com/JasonColapietro/suede-creator-skills/tree/main/skills/suede-product-marketing
  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/JasonColapietro/suede-creator-skills.git /tmp/suede-creator-skills
mkdir -p .claude/skills
cp -r /tmp/suede-creator-skills/skills/suede-product-marketing .claude/skills/suede-product-marketing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Suede Product Marketing 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 Suede Product Marketing 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 Suede Product Marketing 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.

Suede AI Product Marketing Skills

Compatibility

Requires read access to supplied product materials; persistent context needs file write access. Works without a connected marketing stack. New research or publishing requires its own authorized sources/tools.

For a concrete input, expected output, recovery path, and validation check, read the worked contract. Use it to check the handoff before treating the task as complete.

Suede AI Product Marketing maintains the shared evidence layer for audience, positioning, objections, customer language, and proof. The Suede growth suite reads this context so each downstream skill starts from the same verified product story.

The document is stored at .agents/product-marketing.md.

Workflow

Step 1: Check for Existing Context

First, check if .agents/product-marketing.md already exists. Also check .claude/product-marketing.md and the legacy filename product-marketing-context.md (in either .agents/ or .claude/) for older setups, if found anywhere other than .agents/product-marketing.md, offer to move it to the canonical location.

If it exists:

  • Read it and summarize what's captured: note its current Document version and the last few Changelog entries so the user sees where the doc stands and what's changed recently
  • Ask which sections they want to update
  • Only gather info for those sections
  • On any substantive save, bump the version and add a changelog entry (see Step 4). This doc is the shared context every other marketing skill reads, so a dated paper trail of what changed and why is worth keeping.

If it doesn't exist, offer two options:

  1. Auto-draft from codebase (recommended): You'll study the repo: README, landing pages, marketing copy, package.json, etc., and draft a V1 of the context document. The user then reviews, corrects, and fills gaps. This is faster than starting from scratch.

  2. Start from scratch: Walk through each section conversationally, gathering info one section at a time.

Most users prefer option 1. After presenting the draft, ask: "What needs correcting? What's missing?"

Step 2: Gather Information

If auto-drafting:

  1. Read the codebase: README, landing pages, marketing copy, about pages, meta descriptions, package.json, any existing docs
  2. Draft only what the sources actually say. Every auto-drafted field carries its source in the form [src: path/to/file.md], the file the claim came from. A field with no source is not drafted: leave it empty and mark it [unverified].
  3. Never source a field from inference. If the README implies a differentiator without stating it, if a competitor is guessed from the category, or if a testimonial-shaped sentence in marketing copy has no attributed customer, that field is [unverified], not a draft with a hedge. Differentiation, Competitive Landscape, Proof Points, and Customer Language are where this rule earns its keep; a fabricated entry there propagates to every skill that reads this doc.
  4. Present the draft and say plainly how many fields are sourced versus [unverified], then ask what needs correcting or is missing
  5. Iterate until the user is satisfied. A field the user confirms in conversation is sourced as [src: user]

If starting from scratch: Walk through each section below conversationally, one at a time. Don't dump all questions at once.

For each section:

  1. Briefly explain what you're capturing
  2. Ask relevant questions
  3. Confirm accuracy
  4. Move to the next

Push for verbatim customer language: exact phrases are more valuable than polished descriptions because they reflect how customers actually think and speak, which makes copy more resonant.


Sections to Capture

1. Product Overview

  • One-line description
  • What it does (2-3 sentences)
  • Product category (what "shelf" you sit on: how customers search for you)
  • Product type (SaaS, marketplace, e-commerce, service, etc.)
  • Business model and pricing

2. Target Audience

  • Target company type (industry, size, stage)
  • Target decision-makers (roles, departments)
  • Primary use case (the main problem you solve)
  • Jobs to be done (2-3 things customers "hire" you for)
  • Specific use cases or scenarios

3. Personas (B2B only)

If multiple stakeholders are involved in buying, capture for each:

  • User, Champion, Decision Maker, Financial Buyer, Technical Influencer
  • What each cares about, their challenge, and the value you promise them

4. Problems & Pain Points

  • Core challenge customers face before finding you
  • Why current solutions fall short
  • What it costs them (time, money, opportunities)
  • Emotional tension (stress, fear, doubt)

5. Competitive Landscape

  • Direct competitors: Same solution, same problem (e.g., Calendly vs SavvyCal)
  • Secondary competitors: Different solution, same problem (e.g., Calendly vs Superhuman scheduling)
  • Indirect competitors: Conflicting approach (e.g., Calendly vs personal assistant)
  • How each falls short for customers

6. Differentiation

  • Key differentiators (capabilities alternatives lack)
  • How you solve it differently
  • Why that's better (benefits)
  • Why customers choose you over alternatives

7. Objections & Anti-Personas

  • Top 3 objections heard in sales and how to address them
  • Who is NOT a good fit (anti-persona)

8. Switching Dynamics

The four switching forces:

  • Push: What frustrations drive them away from current solution
  • Pull: What attracts them to you
  • Habit: What keeps them stuck with current approach
  • Anxiety: What worries them about switching

9. Customer Language

  • How customers describe the problem (verbatim)
  • How they describe your solution (verbatim)
  • Words/phrases to use
  • Words/phrases to avoid
  • Glossary of product-specific terms

10. Brand Voice

  • Tone (professional, casual, playful, etc.)
  • Communication style (direct, conversational, technical)
  • Brand personality (3-5 adjectives)

11. Proof Points

  • Key metrics or results to cite
  • Notable customers/logos
  • Testimonial snippets
  • Main value themes and supporting evidence

12. Goals

  • Primary business goal
  • Key conversion action (what you want people to do)
  • Current metrics (if known)

13. Entity and Search Facts

The canonical facts search engines and AI assistants should repeat about the company. Every downstream skill (site copy, schema, press, directories, comparison pages) reuses these exactly, so mentions accrue to one entity instead of several spellings.

  • Official company name and product names, exact spelling and capitalization
  • One-sentence description (under 30 words) used everywhere
  • Founder or spokesperson name and title for bylines and quotes
  • Official profile URLs for sameAs (LinkedIn, X, YouTube, GitHub, Crunchbase, app store listings, Wikidata if one exists)
  • The 10 to 20 questions buyers ask search engines and AI assistants about the category, in their words
  • Which pages currently answer each question, or "none"

Step 3: Create the Document

After gathering information, create .agents/product-marketing.md with this structure:

markdown
# Product Marketing Context

**Document version:** v1
**Last updated:** [date]
**Status:** complete | partial: missing: [required sections still empty]

*Every field ends with its source: `[src: README.md]`, `[src: interview
2026-05-04]`, `[src: user]`, or the marker `[unverified]` if nothing on record
supports it. An unsourced field is empty by definition; do not fill it to make
the document look finished.*

## Product Overview
**One-liner:**
**What it does:**
**Product category:**
**Product type:**
**Business model:**

## Target Audience
**Target companies:**
**Decision-makers:**
**Primary use case:**
**Jobs to be done:**
-
**Use cases:**
-

## Personas
| Persona | Cares about | Challenge | Value we promise |
|---------|-------------|-----------|------------------|
| | | | |

## Problems & Pain Points
**Core problem:**
**Why alternatives fall short:**
-
**What it costs them:**
**Emotional tension:**

## Competitive Landscape
**Direct:** [Competitor]: falls short because...
**Secondary:** [Approach]: falls short because...
**Indirect:** [Alternative]: falls short because...

## Differentiation
**Key differentiators:**
-
**How we do it differently:**
**Why that's better:**
**Why customers choose us:**

## Objections
| Objection | Response |
|-----------|----------|
| | |

**Anti-persona:**

## Switching Dynamics
**Push:**
**Pull:**
**Habit:**
**Anxiety:**

## Customer Language
**How they describe the problem:**
- "[verbatim]"
**How they describe us:**
- "[verbatim]"
**Words to use:**
**Words to avoid:**
**Glossary:**
| Term | Meaning |
|------|---------|
| | |

## Brand Voice
**Tone:**
**Style:**
**Personality:**

## Proof Points
**Metrics:**
**Customers:**
**Testimonials:** *(verbatim only: a quote with no attributable source is `[unverified]`, never paraphrased into existence)*
> "[quote]": [who] [src: where this quote was published or collected]
**Value themes:**
| Theme | Proof |
|-------|-------|
| | |

## Goals
**Business goal:**
**Conversion action:**
**Current metrics:**

## Entity and Search Facts
**Official names:**
**One-sentence description:**
**Spokesperson / byline:**
**sameAs profiles:**
-
**Buyer questions (search and AI assistants):**
| Question | Page that answers it |
|----------|---------------------|
| | |

## Changelog
*Newest first. One line per revision: what changed and why.*
- v1 ([date]): Initial context.

Step 4: Confirm, Version, and Save

  • Show the completed document
  • Ask if anything needs adjustment
  • Check the v1 floor before saving. Six sections must be non-empty and sourced for the document to be trustworthy as shared context: Product Overview, Target Audience, Problems & Pain Points, Differentiation, Customer Language, and Goals. Everything else is optional by product type. If any of the six is empty or entirely [unverified], set Status: partial and list exactly which ones on that line. Never save a partial document as complete.
  • What a partial document means downstream. A consuming skill that reads .agents/product-marketing.md and finds Status: partial must ask the user for the named missing sections before generating anything that depends on them, and must not infer them from the rest of the doc. Say this in the save message so the user knows why they will be asked again.
  • Set the version and changelog: this is the paper trail for a doc every other skill reads:
    • New document: set Document version: v1 and a single Changelog entry: - v1 ([today]), Initial context.
    • Updating an existing document: increment the version (v2 → v3 …), update Last updated to today, and prepend a new Changelog entry at the top of the list (newest first) summarizing what changed and why in one line. Never rewrite or reorder past entries.
    • A good entry names the sections touched and the reason, not "updated the doc." Examples:
      • - v3 (2026-07-16): Repositioned from "email tool" to "deliverability platform"; added RevOps to the ICP.
      • - v2 (2026-06-02): Rewrote value prop and objections after 5 customer interviews; added competitor Acme.
    • Use today's date in ISO form (YYYY-MM-DD) for the entry and Last updated.
    • Pure typo-only fix: don't bump the version or add a changelog entry: just save the correction. Every other change bumps the version and gets an entry. When the change is a real repositioning, say so plainly, downstream skills will now generate against the new context.
  • Save to .agents/product-marketing.md
  • Tell them: "The Suede growth suite will now use this context automatically. The Changelog at the bottom tracks every revision, check it to see how your positioning has evolved. Run /suede-product-marketing anytime to update it."

Tips

  • Skip what doesn't apply, outside the six-section v1 floor in Step 4: not every product needs Personas (B2C), Switching Dynamics, or a Glossary. Skipping one of the six is not a skip: it is a partial document.

Boundaries

  • Do not overwrite an existing context file without reading it, preserving supported facts, and showing the user the material changes.
  • Do not invent customer language, differentiation, proof points, market position, or durable brand rules; label hypotheses and missing evidence.
  • Do not publish external copy or mutate product, CRM, analytics, or campaign systems. This skill owns the shared context document only.

Routing

  • Use suede-customer-research to gather new customer evidence.
  • Use suede-competitor-profiling for evidence on named competitors.
  • Use suede-marketing-plan to turn approved context into a channel plan.
  • Use suede-campaign-in-a-box to package an approved campaign.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Suede Product Marketing AI skill do?

Suede AI Product Marketing Skills: versioned audience, ICP, positioning, alternatives, objections, verbatim customer language, proof, goals, and entity facts. Use when asked "create our product marketing context" or to update .agents/product-marketing.md from supplied records or a codebase. NOT FOR: campaign writing (suede-campaign-in-a-box), new interviews (suede-customer-research), contested positioning (suede-marketing-council), or publishing claims.

Why use Suede Product Marketing on TypingMind?

Because you install it once and use it with any model. Suede Product Marketing 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 Suede Product Marketing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonColapietro/suede-creator-skills/tree/main/skills/suede-product-marketing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Suede Product Marketing?

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 Suede Product Marketing?

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

Is the Suede Product Marketing AI skill free?

Yes. It is published on GitHub by JasonColapietro 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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