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cccskills
免费在 GitHub 公开

ads

Use when you want paid ad copy for Google, Meta, or LinkedIn, including headlines, descriptions, and image briefs.

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包含的文件(1)

  • SKILL.md585 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Ads

This is a Codex compatibility wrapper.

Follow the canonical workflow in:

  • ../../../.claude/skills/ads/SKILL.md

Before starting:

  1. Read ../../../AGENTS.md
  2. Apply the shared rules in ../../../.claude/rules/content-guidelines.md
  3. Prefer docs/inputs-local/ over docs/inputs/ when the local directory exists

Compatibility rule:

  • Keep ../../../.claude/skills/ads/SKILL.md as the source of truth for the workflow

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ads

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Generates paid ad copy for Google, Meta, and LinkedIn. Produces platform-ready variants using a creative matrix approach with headlines, descriptions, and image briefs.

中文简介正在准备中。当前显示原文说明。

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Use when you want campaign performance reviewed against benchmarks, with a health score and prioritized optimization recommendations.

中文简介正在准备中。当前显示原文说明。

j1ngg/tech-marketing-framework582026年4月29日 更新

Use when you want a strict review of a marketing asset against style rules, factual accuracy, and messaging alignment.

中文简介正在准备中。当前显示原文说明。

j1ngg/tech-marketing-framework582026年4月29日 更新

Skill Optimization: Auto Research. Autonomously optimize any Claude Code skill by running it repeatedly, scoring outputs against binary evals, mutating the prompt, and keeping improvements. Based on Karpathy's autoresearch methodology. Use when: optimize this skill, improve this skill, run autoresearch on, make this skill better, self-improve skill, benchmark skill, eval my skill, run evals on. Outputs: an improved SKILL.md, a results log, and a changelog of every mutation tried.

中文简介正在准备中。当前显示原文说明。

j1ngg/tech-marketing-framework582026年4月29日 更新

Use when you want to benchmark and improve an existing repo skill through repeated evals, prompt mutations, and score tracking.

中文简介正在准备中。当前显示原文说明。

j1ngg/tech-marketing-framework582026年4月29日 更新

blog

免费

Generates SEO and AEO optimized blog posts from source content. Supports feature announcements, product launches, thought leadership, cookbooks/tutorials, report conversions, and news analysis. Outputs complete posts with TLDR, FAQ, schema markup, and internal linking recommendations.

中文简介正在准备中。当前显示原文说明。

j1ngg/tech-marketing-framework582026年4月29日 更新

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