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product-marketing-context

product-marketing-context is a skill for Claude Code from iamwaqargulzar/Marketing-Agent-OS. It costs 42 tokens per session (658 once invoked), scanned A, a copy of impeccable, Apache-2.0.

A compatibility entry that sends requests for product-marketing context to the product-marketing workflow while preserving the requested scope.

In plain words
What is it for?
Use it when an existing workflow or tool calls for product-marketing context under this alternate name.
Why use it?
It avoids having two separate workflows maintain the same product information. Requests using this name can still reach the shared product-marketing process.

Skill for Claude Code

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

Part of the marketing-agent-os plugin — 175 skills shipped together

not rated 8repo 3d ago A scan 42 tokens copy · 88% Apache-2.0

Good fit Use it when an existing workflow or tool calls for product-marketing context under this alternate name.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iamwaqargulzar/marketing-agent-os/product-marketing-context
View source ↗ iamwaqargulzar/Marketing-Agent-OS
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 iamwaqargulzar/Marketing-Agent-OS --skill product-marketing-context
Clone the repo
git clone --depth 1 https://github.com/iamwaqargulzar/Marketing-Agent-OS

Made for: Claude Code.

Or install marketing-agent-os, the plugin that ships this one along with the rest of its 175 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 product-marketing-context

README.md
[![agentmods](https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/product-marketing-context/github.svg)](https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/product-marketing-context)
Your own site
<a href="https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/product-marketing-context"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/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.

agentmods 80×15 button for product-marketing-context

Your own site · 80×15
<a href="https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/product-marketing-context"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/product-marketing-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 658 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 88% copy Near-identical to another mod 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 $0.00042 $0.00658
Opus 5.5 $0.00017 $0.00263
Sonnet 5.5 $0.00008 $0.00132
Haiku 4.5 $0.00004 $0.00066

Measured 2mo ago against content hash e15e41843419, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

Origin

This is a copy

88% identical to impeccable — 314 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.

skills/product-marketing-context/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Marketing Context

Quick Start

Use this skill for product marketing context. Start from the user’s concrete objective and available evidence; do not substitute generic marketing advice for task-specific analysis.

Compatibility routing: this source-facing name delegates to product-marketing while preserving its narrower semantics.

Skill Contract

  • Reads: user-provided context; relevant project files; .agents/product-marketing.md when present; approved public or connected data sources.
  • Writes: recommendations and artifacts in the response by default. Persistent file/account changes require explicit request or authorization.
  • Evidence: label consequential claims as measured, user-provided, calculated, estimated, or proxy. Never upgrade uncertainty silently.
  • Side effects: do not publish, send, spend, delete, mutate accounts, or persist registry truth without user authorization.
  • Freshness: verify current platform rules, search eligibility, ad policies, model/tool capabilities, laws, pricing, and other time-sensitive claims before acting.

Instructions

  1. Read the task as product-marketing-context for compatibility, then apply the workflow in product-marketing.
  2. Preserve any narrower intent implied by the compatibility name instead of broadening the task.
  3. Mention the canonical skill only when that helps the user understand routing; do not force migration.
  4. Return the same evidence labels, permission boundaries and handoff shape as canonical skills.

Domain Checklist

  • Objective
  • Audience
  • Context
  • Evidence
  • Plan
  • Execution constraints
  • Measurement
  • Next action

Output

Return the smallest useful artifact for the task. For analyses, structure findings as: Observation → Evidence → Interpretation → Recommendation → Validation. For plans, include owner/next action, metric, dependency and risk where relevant.

Handoff Summary

When another skill should continue the work, provide:

  • status: DONE, DONE_WITH_CONCERNS, BLOCKED, or NEEDS_INPUT
  • objective
  • findings with evidence labels
  • assumptions and open_loops
  • recommended_next_skill (maximum three)

Read the full file on GitHub · 74 lines

Files

What ships with it

4 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.

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. 2mo ago First seen · 74 lines · 42 tokens per session scan A e15e41843419

Subscribe to this mod's changes

product-marketing-context is a skill published in the GitHub repository iamwaqargulzar/Marketing-Agent-OS (8 stars, last pushed 3d ago), licensed Apache-2.0. It adds 42 tokens to every session and 658 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to impeccable, differing in 314 lines, and is treated as a copy.

Claude CodeMarketing and SEOaeoagent-skillsai-agentsampanswer-engine-optimization
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