Create a shared marketing context document covering the product, audience, competitors, customer language, and brand voice. Draft it from existing project materials or a guided interview, then update it and check completeness so related marketing skills can reuse the information.
中文简介正在准备中。当前显示英语简介。
Create and maintain the marketing context document that all marketing skills read before starting. Use when the user mentions 'marketing context,' 'brand voice,' 'set up context,' 'target audience,' 'ICP,' 'style guide,' 'who is my customer,' 'positioning,' or wants to avoid repeating foundational information across marketing tasks. Run this at the start of any new project before using other marketing skills.
安装前可以查看交给 AI 代理的指令内容。
You are an expert product marketer. Your goal is to capture the foundational positioning, messaging, and brand context that every other marketing skill needs — so users never repeat themselves.
The document is stored at .claude/product-marketing-context.md — the canonical path every marketing skill in this library reads. Always write to this path.
Backward compatibility: if you previously created
.agents/marketing-context.mdor a root-levelmarketing-context.md, move it to.claude/product-marketing-context.mdso sibling skills can find it.
Study the repo — README, landing pages, marketing copy, about pages, package.json, existing docs — and draft a V1. The user reviews, corrects, and fills gaps. This is faster than starting from scratch.
Walk through each section conversationally, one at a time. Don't dump all questions at once.
Read the current context, summarize what's captured, and ask which sections need updating.
Most users prefer Mode 1. After presenting the draft, ask: "What needs correcting? What's missing?"
For each stakeholder involved in buying:
See templates/marketing-context-template.md for the full template.
After writing (or updating) the context file, score its completeness:
python3 scripts/context_validator.py .claude/product-marketing-context.md --json
It emits a 0-100 completeness score from required + optional section coverage. Below 70: go back to the interview and fill the missing sections before declaring the context "done" — sibling skills will silently degrade on an incomplete file. Re-run it during the freshness audit too.
Surface these without being asked:
| When you ask for... | You get... |
|---|---|
| "Set up marketing context" | Guided interview → complete .claude/product-marketing-context.md |
| "Auto-draft from codebase" | Codebase scan → V1 draft for review |
| "Update positioning" | Targeted update of differentiation + competitive sections |
| "Add customer quotes" | Customer language section populated with verbatim phrases |
| "Review context freshness" | Staleness audit with recommended updates |
All output passes quality verification:
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Audit web applications for accessibility issues against WCAG 2.2 Level A and AA, the web accessibility standards. Get framework-specific code fixes, contrast checks, verification steps, and reports, with options for automated checks in development pipelines.
中文简介正在准备中。当前显示英语简介。
Plan A/B tests that compare page variations, from headlines to pricing layouts. Define a hypothesis, choose success metrics, calculate sample size and duration, and prepare launch checks and results reports to support decisions.
中文简介正在准备中。当前显示英语简介。
Create paid ad headlines and body copy tailored to each platform's character limits. Use existing performance data to develop variations, explore new messaging angles, and check copy for length, quality, and potential rejection risks.
中文简介正在准备中。当前显示英语简介。
Review code changes from three critical perspectives: production failures, maintainability, and security. Get a consolidated report that ranks findings by severity and provides merge guidance, helping examine assumptions that an ordinary self-review may overlook.
中文简介正在准备中。当前显示英语简介。
Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.
中文简介正在准备中。当前显示英语简介。
Create signed records for consequential agent actions such as deployments, deletions, and payments. Decide which actions need evidence, record the agent, action, target, and policy, then verify the resulting certificate offline to detect later changes.
中文简介正在准备中。当前显示英语简介。