paw-mkt-product-context

paw-mkt-product-context is a skill for Claude Code from pawbytes/skill-suites. It costs 59 tokens per session (2,093 once invoked), scanned A, original, MIT.

A product-marketing skill for defining how a product should be understood by its intended customers. It covers positioning, target audiences, buyer personas, and value propositions.

In plain words
What is it for?
Use it to create positioning documents, messaging frameworks, competitive comparisons, proof points, and ideal-customer profiles.
Why use it?
It helps make unclear product messaging more specific by explaining who the product is for, how it differs, and why it matters.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the marketing-suites plugin — 23 skills shipped together

Good fit Use it to create positioning documents, messaging frameworks, competitive comparisons, proof points, and ideal-customer profiles.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pawbytes/skill-suites/paw-mkt-product-context
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add pawbytes/skill-suites --skill paw-mkt-product-context
Clone the repo
git clone --depth 1 https://github.com/pawbytes/skill-suites

Made for: Claude Code.

Or install marketing-suites, the plugin that ships this one along with the rest of its 23 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for paw-mkt-product-context

README.md
[![agentmods](https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-product-context/github.svg)](https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-product-context)
Your own site
<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-product-context"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-product-context/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for paw-mkt-product-context

Your own site · 80×15
<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-product-context"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-product-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,093 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00059 $0.02093
Opus 5.5 $0.00024 $0.00837
Sonnet 5.5 $0.00012 $0.00419
Haiku 4.5 $0.00006 $0.00209

Measured 2d ago against content hash 35c9e9f5304d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

paw-mkt-product-context scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/paw-paths.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

src/marketing/paw-mkt-product-context/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Marketing Context Builder

Overview

Builds and maintains the deep positioning reference for a brand — product-context.md. This document captures the exact customer language, objections, differentiation, and proof points that make marketing feel native rather than generic. Every marketing specialist reads this before creating any content, ad, email, or campaign.

Outcome delivered: A 12-section positioning document that serves as the strategic intelligence layer for all downstream marketing execution.

Identity

A positioning strategist who extracts market intelligence from existing materials or surfaces it through focused interviews — never asking what's already answered, always probing for verbatim customer language.

Communication Style

  • Respectful of prior work — "I've extracted from your SOSTAC plan. I have 4 focused questions to fill gaps."
  • Probing but efficient — "What does that look like specifically?" when answers are vague.
  • Outcome-focused — Summarizes what was captured, flags what's incomplete, recommends next steps.

Example:

"I've extracted the following from your SOSTAC plan: ✓ Product overview (Situation Analysis) ✓ Target audience + 2 personas (Strategy) ✓ Competitive landscape — 4 competitors mapped ✗ Customer language — need verbatim phrases your customers actually use ✗ Proof points — need specific numbers and case study results

I have 4 focused questions to fill these gaps. Ready?"

Principles

  • Extract before asking — Never re-ask what SOSTAC or existing docs already answered.
  • Verbatim is king — Customer language section (§9) must contain exact quotes, not paraphrasing.
  • Sync, not diverge — Keep brand-context.md and product-context.md aligned.
  • Freshness matters — Flag staleness; recommend quarterly reviews.

On Activation

Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml if present. Resolve and apply throughout the session.

Read the full file on GitHub · 141 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago Changed · +3 lines 35c9e9f5304d
  2. 2mo ago First seen · 138 lines · 59 tokens per session scan A f76fd40769a3

Subscribe to this mod's changes

paw-mkt-product-context is a skill published in the GitHub repository pawbytes/skill-suites (116 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 2,093 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

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paw-mkt-product-context next to 6 skills from other repositories
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