An agentic skills framework & software development methodology that works.

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

Support agile DataOps Based on Flink, DataX and Flink-CDC, Chunjun with Web-UI

AI video skill for Claude Code & Codex — cinematic product videos with Remotion: 106 shot recipe cards, 161 motion previews, a production-ready template

Dinky is a real-time data development platform based on Apache Flink, enabling agile data development, deployment and operation.

A FREE pragmatic DevOps learning to kickstart your DevOps career and knowledge in the Cloud Native era following the Agile MVP style! ⭐ (2026 plans for DevOps, Cloud, Platform, SRE, SWE)

A meta-skill that creates, evaluates, and improves other AI agent skills with multiple modes and evidence-based validation.

A curated collection of reusable AI agent skills following the Agent Skills open format, designed to extend coding agents with specialized capabilities.

A collection of 19 Claude Code skills for cybersecurity professionals covering offensive security, defensive operations, reverse engineering, threat hunting, and CSOC automation.

When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.

Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.