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Found 315 Skills
Marketing skills for AI agents. CRO, copywriting, SEO, analytics, pricing, and growth engineering. From Corey Haines' Marketing Skills collection. Use when working with marketing, cro, conversion, copywriting, seo, landing page, pricing, growth.
42-skill marketing division for AI coding agents. 7 specialist pods covering content, SEO, CRO, channels, growth, intelligence, and sales. Foundation context system + orchestration router. 27 Python tools (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
Open-source marketing skills for founders using Claude agents - keyword research, growth strategy, social search audit, and competitor analysis
Generate marketing deliverables across CRO, copywriting, SEO, analytics, and growth using 23 specialized sub-skills with clear objectives, constraints, and validation.
Install and use marketing framework skills for Claude Code and other AI coding agents
Guide for marketing and growth skills including SEO, copywriting, CRO, email campaigns, paid ads, and product launch strategies.
Open-source AI marketing automation skills for growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation
SEO & Content Marketing skill suite with keyword research, content audits, technical SEO, and competitor analysis workflows
SEO & Content Marketing skill suite for Claude with keyword research, content audits, technical SEO, and structured workflows
SEO & Content Marketing command suite for keyword research, content audits, technical SEO, competitor analysis, and content strategy workflows
Calculate engagement rates for creator posts and benchmark them against platform and tier averages. This skill should be used when calculating an influencer's engagement rate, benchmarking creator engagement against industry averages, evaluating whether a creator's engagement is above or below average for their tier, comparing engagement rates across platforms, checking if engagement rates suggest fake followers, auditing a creator's engagement quality before a partnership, analyzing engagement by content type (reels, stories, feed posts, TikTok videos), or assessing engagement trends across a creator's recent posts. For estimating fair market rates based on engagement, see creator-rate-estimator. For full creator vetting beyond engagement, see creator-vetting-scorecard. For scoring niche fit, see niche-fit-scorer.
Normalize messy creator campaign metrics from multiple sources into a single clean table with standardized field names ready to merge into your master tracker. This skill should be used when cleaning up influencer metrics, standardizing campaign data from multiple platforms, normalizing creator performance numbers, merging metrics from Instagram and TikTok and YouTube into one sheet, formatting messy analytics exports, preparing campaign data for a master spreadsheet, converting raw platform stats into a consistent format, combining metrics from different reporting tools, deduplicating creator data from multiple sources, fixing inconsistent column names across exports, or cleaning up a metrics dump before reporting. For calculating engagement rates, see engagement-rate-calculator-benchmarker. For full campaign reports, see campaign-roi-calculator. For parsing a single Story screenshot, see story-metrics-screenshot-parser.