Marketing Skills
The Open Marketing Skills Ecosystem
Skills are structured guides that give AI agents deep marketing knowledge. Install one into Claude, Cursor, OpenAI, or any agent — and it knows how to execute the tasks.
Find strategies inspired by
1,331
Skills Leaderboard
Design OAuth, API key UX, and progressive profiling for developer signup. Minimize friction, measure activation, A/B test priority.
Learn how to architect developer docs for acquisition, activation, and retention. Includes quickstart optimization, API reference patterns, SEO, and metrics.
Navigate Reddit subreddit rules, build genuine reputation, and engage developer communities authentically without triggering bans.
Design effective hackathon sponsorships: evaluate events, staff booths, structure prizes, follow up with participants, and measure ROI.
Design predictable, transparent pricing models that developers accept. Usage metrics, billing strategies, and anti-patterns.
Reach developers where they actually pay attention: Carbon Ads, Reddit, newsletters, podcasts. Avoid ad blockers, craft native creative, measure ROI.
Analyze developer churn by root cause, identify at-risk users, and execute personalized win-back campaigns.
Identify and rewrite 29+ AI-generated writing patterns to make text sound natural, specific, and human-written.
Automated backlink mining, unlinked mentions, broken link discovery, and resource page prospecting. Turn link building into a weekly system.
Comprehensive technical SEO audit skill that analyzes crawl data, prioritizes issues by business impact, and produces actionable reports and spreadsheets.
Perform quick on-page and site-level SEO checks with Python scripts. Outputs a structured HTML audit report for first-pass page reviews.
Crawl a company website and synthesize brand positioning, competitors, audience, and voice into a structured Brand DNA markdown file.
Plan SEO strategy with competitor analysis, keywords, and content calendar. Build a complete implementation roadmap.
Audit AI crawler access, robots.txt, llms.txt, and server-side rendering. Generate actionable fixes for ChatGPT, Claude, and Perplexity indexing.
Identify pages competing for the same keyword and apply merge, redirect, differentiate, or delete strategies to consolidate SEO ranking.
Identify old content losing rankings and traffic, then prioritize refresh with actionable recommendations to recover search visibility.
Dual-dimension content audit: E-E-A-T analysis for Google rankings + AI citability assessment for ChatGPT, Perplexity, Google AI Mode.
Generate SEO-optimized blog articles from keywords or content plans with E-E-A-T signals and internal linking.
Comprehensive page-level SEO analysis covering on-page elements, content quality, technical metadata, schema markup, and image optimization.
Build SEO-optimized comparison and alternatives pages targeting competitive keywords with feature matrices, schema markup, and conversion strategies.
Audit HTML/Markdown for SEO, GEO, AEO optimization. Generate schema, validate metadata, extract keywords, optimize for AI platforms.
Design structured logging, tracing, metrics, alerting, and SLO frameworks for production services.
Help agents manage OSS projects: governance, licensing, changelogs, releases, contribution workflows, and community building.
Write effective user stories with testable acceptance criteria, story maps, and estimates. INVEST-compliant agile requirements documentation.
Review and refactor code following Clean Code, SOLID, and TDD principles for readability and maintainability.
Build image classification, object detection, and segmentation pipelines with PyTorch, YOLO, and production optimization techniques.
Set up i18n libraries, write ICU MessageFormat patterns, handle RTL layouts, and manage translation workflows for multi-language apps.
Learn event sourcing, CQRS, message brokers, and eventual consistency for distributed systems.
Framework for securing cloud infrastructure: IAM policies, secrets management, encryption, network segmentation, audit logging, zero trust, and compliance.
Build pitch decks and presentations using narrative frameworks, slide taxonomy, visual hierarchy, and data visualization selection techniques.
Design system prompts, chain-of-thought reasoning, RAG pipelines, and structured outputs for reliable LLM interactions.
Initialize Sentry SDKs, configure error capture, tracing, and session replay across JavaScript, Python, Node.js, and Next.js projects.
Guide agents to run sprint planning, retrospectives, estimation, velocity tracking, and Kanban boards for Agile teams.
Measure, benchmark, and optimize application performance systematically with profilers, flame graphs, and load testing.
Design opinionated, production-ready UIs with spacing scales, color theory, typography, accessibility, and micro-interactions. Learn CSS and Tailwind patterns.
Build production NLP pipelines: tokenization, embeddings, semantic search, classification, summarization, RAG chunking.
Learn to write performant regexes with named groups, lookarounds, and Unicode support. Avoid backtracking traps and test edge cases.
Learn named refactoring moves to safely restructure code, improve readability, and eliminate duplication without changing behavior.
Build React-based video compositions with frame-based animations, audio integration, and MP4/WebM rendering using Remotion.
Design star schemas, implement SCDs, build fact tables, and optimize Snowflake and BigQuery for analytical workloads.
Build production data pipelines with ETL/ELT patterns, Airflow orchestration, dbt transformation, Spark tuning, and data quality checks.
Measure support operations with CSAT, NPS, and resolution metrics tied to actionable decisions for support teams.
Build production LLM apps with safety, evaluation, RAG, function calling, and cost optimization strategies.
Learn to design k6 load tests with realistic scenarios, staged ramps, pass/fail thresholds, CI/CD automation, and bottleneck diagnosis.
Create modular, incrementally-updated docs for AI agents and developers—architecture, modules, patterns, GETTING_STARTED, and manifest tracking.
Implement state machines, object pools, event systems, and command patterns for efficient, decoupled game architecture.
Learn to build A2A clients and servers, discover agents, send streaming messages, manage task lifecycles, and configure webhooks for multi-agent collaboration.
Test REST and GraphQL APIs with Supertest, Pact, MSW, and Zod. Learn layered testing strategy, contract testing, mock servers, and schema validation.
Structure async-first workflows, write decision documents, and facilitate remote meetings to improve distributed team coordination.
Design fault injection experiments, run game days, validate circuit breakers, and measure MTTR with this chaos engineering practitioner framework.