content-pipeline 标准

End-to-end content creation workflow that orchestrates research, editorial review, and social distribution agents in sequence. Use when the user wants to create, review, and distribute content through a multi-stage pipeline, or says "/content-pipeline".

营销 Claude Code Gemini CLI MCP 客户端 Windsurf MIT 163

在 GitHub 打开

安装方式

cp -r skills/content-pipeline ~/.claude/skills/content-pipeline

把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同，Claude Code 默认是 ~/.claude/skills/

整仓一次性获取：git clone --depth 1 https://github.com/thatrebeccarae/claude-marketing.git

依赖与权限

无需 API Key
需要联网访问外部服务
依赖外部命令：git
以上为按正文与 frontmatter 自动推断的信号，仅供参考；安装前建议先阅读原文。

触发场景

the user wants to createreview

SKILL.md 正文

来源 thatrebeccarae/claude-marketing@a8a63ec · 许可 MIT · 内容未修改

Content Pipeline

Orchestrate the full content creation workflow from research brief to published-ready content with social distribution pack.

Install

git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/content-pipeline ~/.claude/skills/

What This Skill Does

Chains up to 3 agents in sequence:

research-analyst — Generates a research brief on the topic
editor-in-chief — Reviews the draft against voice, structure, SEO, and argument quality
social-amplifier — Creates platform-specific distribution pack (LinkedIn, Twitter/X, email)

Users can enter at any stage or run the full pipeline.

How this differs from content-workflow: The content-workflow skill is a manual workflow guide with frameworks and checklists. This skill is the orchestration layer — it actually spawns subagents and manages the pipeline programmatically.

How to Use

/content-pipeline [topic or file path]

Full Pipeline (from scratch)

/content-pipeline "Why MCP is the new API"

Start from Existing Draft

/content-pipeline review ./drafts/article-draft.md

Social Pack Only

/content-pipeline distribute ./content/published-article.md

Workflow Stages

Stage 1: Research (optional — skip if draft exists)

Spawn research-analyst agent with the topic
Output: ./research-briefs/YYYY-MM-DD-topic-slug.md
User reviews brief, decides whether to proceed

Stage 2: Editorial Review

Spawn editor-in-chief agent pointing at the draft/brief
Output: [draft-path]-review.md saved alongside the source
Agent provides: voice assessment, structure feedback, SEO evaluation, line-level notes, title variants
User decides: publish as-is, revise, or iterate

Stage 3: Social Distribution

Spawn social-amplifier agent pointing at the final content
Output: [content-path]-social-pack.md saved alongside the source
Generates: LinkedIn posts (2 variants), Twitter/X thread, email subject lines, pull quotes, hashtags

Configuration

Customizing Agents

The default agent chain uses Claude Code subagents with the Agent tool. To customize:

Pipeline Stage    | Default Agent Type    | Override With
Research          | research-analyst      | Any research/analysis agent
Editorial         | editor-in-chief       | Any editorial review agent
Distribution      | social-amplifier      | Any social content agent

Output Paths

Configure where each stage saves its output:

Stage	Default Output Path
Research	`./research-briefs/YYYY-MM-DD-topic-slug.md`
Draft	`./content/YYYY/YYYY-MM-DD-slug.md`
Review	`[draft-path]-review.md` (alongside draft)
Social Pack	`[content-path]-social-pack.md` (alongside content)

Publishing Cadence

Adapt the pipeline to your publishing schedule. Example cadence:

Research: Monday/Tuesday
Draft: Tuesday/Wednesday
Review: Wednesday/Thursday
Publish: Thursday/Friday

Pipeline State Management

The pipeline tracks which stages are complete via file existence:

Research brief exists → Stage 1 complete
Review file exists → Stage 2 complete
Social pack exists → Stage 3 complete

Resume from any stage by pointing to existing files.

Integration with Other Skills

This skill composes well with:

seo-content-writer — Run during Stage 2 for deep SEO optimization
content-creator — Use for brand voice analysis before editorial review
research-digest — Alternative to the built-in research stage for RSS-based research