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".
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Orchestrate the full content creation workflow from research brief to published-ready content with social distribution pack.
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/content-pipeline ~/.claude/skills/
Chains up to 3 agents in sequence:
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.
/content-pipeline [topic or file path]
/content-pipeline "Why MCP is the new API"
/content-pipeline review ./drafts/article-draft.md
/content-pipeline distribute ./content/published-article.md
./research-briefs/YYYY-MM-DD-topic-slug.md[draft-path]-review.md saved alongside the source[content-path]-social-pack.md saved alongside the sourceThe 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
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) |
Adapt the pipeline to your publishing schedule. Example cadence:
The pipeline tracks which stages are complete via file existence:
Resume from any stage by pointing to existing files.
This skill composes well with:
/content-pipeline — Start full pipeline with topic prompt/content-pipeline review [path] — Jump to editorial review/content-pipeline distribute [path] — Jump to social distribution/content-pipeline status — Show drafts in progressまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.
日本語の概要は準備中です。原文の説明を表示しています。
Google and Meta paid media account structure evaluation. Audits campaign/ad set architecture against conversion volume minimums, budget thresholds, and targeting overlap. Identifies over-segmentation, under-segmentation, budget fragmentation, and structural anti-patterns blocking algorithmic learning. Provides consolidation roadmaps with migration plans. Use when inheriting accounts, quarterly health checks, or before scaling budgets.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) specialist. Optimize content and websites to appear in AI-generated answers from ChatGPT, Perplexity, Claude, Google AI Overviews, and other LLM-powered search experiences. Use when the user asks about AI search optimization, AEO, GEO, AI Overviews, appearing in AI answers, LLM citations, or optimizing for generative search.
日本語の概要は準備中です。原文の説明を表示しています。
Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json. The profile feeds downstream skills (seo-content-writer, email-composer, frontend-design, pro-deck-builder, cross-platform-audit) for brand-consistent output. Use when the user says brand DNA, brand profile, extract brand, analyze brand, brand voice, brand identity, brand colors, or brand style guide.
日本語の概要は準備中です。原文の説明を表示しています。
Develop brand voice, tone matrices, messaging frameworks, and brand book documentation. Use when the user asks about brand voice, tone of voice, brand guidelines, messaging framework, or brand consistency.
日本語の概要は準備中です。原文の説明を表示しています。
Braze customer engagement platform expertise. Audit campaigns, Canvases, segments, messaging channels, and data architecture. Use when the user asks about Braze, customer engagement, push notifications, in-app messaging, cross-channel orchestration, or lifecycle marketing at scale.
日本語の概要は準備中です。原文の説明を表示しています。