clawfu-skills
175 expert marketing methodologies encoded as structured, agent-readable skills — the largest marketing-specific skill set, covering content, strategy, SEO, …
A library of 175 marketing methodologies packaged as agent-readable skills — positioning (April Dunford), copywriting (Eugene Schwartz), persuasion (Cialdini), offers (Hormozi), negotiation (Chris Voss), and more across 28 categories including SEO, sales, RevOps, and analytics. Each skill is a SKILL.md file following the Agent Skills open standard: markdown instructions only, no executable code. Use it as an MCP server or clone the repo into ~/.claude/skills/.
- Apply expert marketing knowledge across channels and campaigns
- Generate campaign strategies using domain-specific best practices
- Optimize content and messaging with marketing-focused analysis
175 expert marketing methodologies encoded as structured, agent-readable skills — the largest marketing-specific skill set, covering content, strategy, SEO, sales, RevOps, and analytics. Skills are reviewed against Anthropic's skill-authoring best practices and contain no executable code.
Marketing teams and growth hackers who want Claude to apply domain-specific marketing knowledge across channels.
https://github.com/guia-matthieu/clawfu-skills
By guia-matthieu
How to Get It
npx @clawfu/mcp-skills
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me apply expert marketing knowledge across channels and campaigns
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 131 GitHub stars; 2 contributors; last commit 95d ago; license MIT.
Things to check
- Skill quality and applicability depend on how well Claude interprets marketing domain language; limited visibility into how each skill performs across different market contexts or brand types.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 131 GitHub stars; 2 contributors; last commit 95d ago; license MIT.