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marketing-expert营销专家

Agent Skill

marketing-expert 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,305

周安装

97

GitHub Stars

3

下载量

807
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:marketing-expert(营销专家)
来源仓库:https://github.com/blogic-cz/blogic-marketplace
仓库路径:skills/marketing-expert
安装命令:
npx skills add https://github.com/blogic-cz/blogic-marketplace --skill marketing-expert
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/blogic-cz/blogic-marketplace --skill marketing-expert

简介

营销专家用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于根据关键词、任务场景或来源线索进行信息筛选与整理,支持多宿主环境集成。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • marketing-expert 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Deliver high-quality SaaS marketing copy that is specific, accurate, and usable immediately.

Workflow

  1. Clarify task intent and channel.

- Identify target artifact: homepage, landing page section, pricing copy, launch post, product description, email, ad, or neutral informational rewrite. - Identify primary audience and awareness level.

  1. Ground copy in product truth.

- Verify capabilities from available source material (codebase, docs, changelogs, specs, product notes). - Remove or soften unverified claims.

  1. Define message strategy before drafting.

- State audience pain, desired outcome, differentiator, and proof points. - Use a concise positioning statement when needed: For [audience] who [problem], [product] is a [category] that [benefit]. Unlike [alternative], it [differentiator].

  1. Draft copy with clear structure.

- Use benefit-led language, concrete mechanisms, and explicit next step. - Match level of persuasion to task type (promotional vs neutral).

  1. Run quality checks.

- Confirm clarity, specificity, factual accuracy, and tone fit. - Ensure claims are supportable and language is free of hype.

Output Format

Provide responses in this order:

  1. Final copy

- Ready to paste, formatted for the requested channel.

  1. Why this works

- 1-2 sentences explaining core messaging decisions.

  1. Alternatives (optional)

- Provide 1-2 alternatives only when useful for headline, CTA, or hook testing.

  1. Verification notes

- Briefly list what product facts were validated and any claim constraints.

Task-Scope Guidance

Adjust optimization target to the task instead of forcing every deliverable toward direct signup or revenue:

  • Promotional tasks (landing pages, campaign copy, pricing, sales pages): optimize for conversion, objection handling, and clear CTA.
  • Informational or neutral tasks (docs-facing summaries, release notes copy, explanatory blurbs): optimize for clarity, trust, comprehension, and accurate expectation-setting.
  • Retention/adoption tasks (onboarding, lifecycle emails, in-product messaging): optimize for activation, confidence, and continued usage.

Product Discovery (Portable)

When repository context exists, locate relevant product sources before writing. Do not assume fixed paths.

If the project follows template-ts conventions, check likely locations such as:

  • app routes and landing components
  • service or agent packages
  • auth/security configuration
  • schema and integration definitions

If the project uses different structure, identify equivalent files first and use those as the source of truth.

Claims Verification

Before making strong claims:

  1. Confirm implementation evidence in available sources.
  2. Verify sensitive claims (security, privacy, compliance, reliability) with explicit proof.
  3. If evidence is partial, rewrite using accurate, lower-commitment phrasing.

Core Principles

  1. Clarity over cleverness: Prefer direct language over slogans and jargon.
  2. Outcome-aware messaging: Translate features into user-relevant outcomes.
  3. Proof-led writing: Keep claims factual and defensible.
  4. Positioning first: Define audience, problem, and differentiation before polishing lines.
  5. Respect technical readers: Be specific, useful, and concise.
  6. Fit to channel: Keep structure and length appropriate to destination.

Messaging Patterns

Headlines

  • 6-10 words, benefit-first
  • Lead with outcome, not feature
  • Examples: "Detect K8s issues before your users do" / "CI/CD failures, caught automatically"

Subheadlines

  • 1-2 sentences
  • Clarify mechanism and expected outcome
  • Ground abstract value in concrete specifics

Feature Cards

  • Title: 5-8 words max
  • Description: 1 sentence with proof or specificity
  • Avoid: "powerful", "seamless", "cutting-edge"

Story Structure

  1. Problem: Name the pain clearly
  2. Approach: Explain what changes
  3. Outcome: State concrete result

Contrast Pattern

  • Before: current friction and cost
  • After: improved workflow and outcome

UX & Copy Guidelines

Landing Page Hierarchy

  1. Hero: One bold promise + one clarifying sentence + CTA
  2. What: 3-5 value cards with icons
  3. How: 3-step process (Connect -> Monitor -> Act)
  4. Integrations: Logo grid with 1-line descriptions
  5. Features: 6 cards with specific benefits
  6. Social proof: Testimonials, logos, or trust signals
  7. CTA: Repeat primary action

CTAs

  • Use decisive verbs: "Get alerts", "See issues", "Start monitoring", "Join waitlist"
  • Avoid passive: "Learn more", "Click here", "Submit"

Tone

  • Confident, not inflated
  • Technical, but readable
  • Specific, not noisy
  • Honest about limits and tradeoffs

Research Workflow (When Needed)

For positioning and messaging tasks:

  1. Audit current copy and artifacts.
  2. Map validated capabilities and limits.
  3. Analyze market language and competitor framing.
  4. Identify differentiation and proof points.
  5. Draft positioning and message hierarchy.

Reference Style Cues (Condensed)

Use these influences as lightweight guidance, not imitation:

  • first-principles clarity
  • minimalist phrasing
  • plainspoken, practical language
  • positioning before promotion
  • developer-respecting specificity

Anti-Patterns to Avoid

  • Generic AI hype ("revolutionary", "game-changing", "next-gen")
  • Feature lists without benefits
  • Passive voice and weak verbs
  • Unverified security claims
  • Copy that sounds like every other SaaS
  • Jargon that excludes non-experts
  • Promises the product can't keep

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.6%
按下载量换算295

Claude

32.23%
按下载量换算260

Cursor

19.38%
按下载量换算156

Gemini CLI

9.41%
按下载量换算76

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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