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.
npx skills add pawbytes/skill-suites --skill paw-mkt-product-contextgit clone --depth 1 https://github.com/pawbytes/skill-suitesWrote 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.
[](https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-product-context)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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.mdandproduct-context.mdaligned. - 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.
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/layout.json 4.1 KB
- references/auto-extract.md 1.8 KB
- references/brand-selection.md 706 B
- references/check-existing.md 1.9 KB
- references/document-operations.md 2.5 KB
- references/document-template.md 5.8 KB
- references/focused-interview.md 2.2 KB
- references/frameworks-index.csv 2.7 KB
- references/frameworks/customer-motivation-ddff.md 4.0 KB
- references/shared-patterns.md 7.7 KB
- references/staleness-detection.md 2.7 KB
- scripts/paw-paths.py 21 KB runs code
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.
- 2d ago Changed · +3 lines 35c9e9f5304d
- 2mo ago First seen · 138 lines · 59 tokens per session scan A f76fd40769a3
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.
paw-mkt-product-context compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| paw-mkt-product-contextpawbytes/skill-suites | Skill | 116 | 2d ago | MIT | A | 59 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |