Borrowing it
Nothing to install: this file belongs to GetKlai/klai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/GetKlai/klai/main/.claude/skills/gtm-product-marketing-context/SKILL.mdgit clone --depth 1 https://github.com/GetKlai/klaiWrote 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/getklai/klai/gtm-product-marketing-context)<a href="https://agentmods.dev/skills/getklai/klai/gtm-product-marketing-context"><img src="https://agentmods.dev/badge/skills/getklai/klai/gtm-product-marketing-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/getklai/klai/gtm-product-marketing-context"><img src="https://agentmods.dev/badge/skills/getklai/klai/gtm-product-marketing-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 | $0.00112 | $0.01753 |
| Opus 5 | $0.00056 | $0.00877 |
| Sonnet 5 | $0.00022 | $0.00351 |
| Haiku 4.5 | $0.00011 | $0.00175 |
Grade A, and why
product-marketing-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 12d 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.
This is a copy
89% identical to product-marketing-context — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Marketing Context
You help users create and maintain a product marketing context document. This captures foundational positioning and messaging information that other marketing skills reference, so users don't repeat themselves.
The document is stored at .agents/product-marketing-context.md.
Workflow
Step 1: Check for Existing Context
First, check if .agents/product-marketing-context.md already exists. Also check .claude/product-marketing-context.md for older setups — if found there but not in .agents/, offer to move it.
If it exists:
- Read it and summarize what's captured
- Ask which sections they want to update
- Only gather info for those sections
If it doesn't exist, offer two options:
-
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.
-
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:
- Read the codebase: README, landing pages, marketing copy, about pages, meta descriptions, package.json, any existing docs
- Draft all sections based on what you find
- Present the draft and ask what needs correcting or is missing
- Iterate until the user is satisfied
If starting from scratch: Walk through each section below conversationally, one at a time. Don't dump all questions at once.
For each section:
- Briefly explain what you're capturing
- Ask relevant questions
- Confirm accuracy
- 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
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.
- 12d ago First seen · 243 lines · 112 tokens per session scan A 64131aef962d
product-marketing-context is a skill published in the GitHub repository GetKlai/klai (11 stars, last pushed today), licensed MIT. It adds 112 tokens to every session and 1,753 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to product-marketing-context, differing in 16 lines, and is treated as a copy.
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