Browse published AI skills maintained by DTMC-marketplace. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
28Repository stars across indexed skills
0Repository forks
224Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
Guide for building Gemini CLI TOML custom commands. Covers syntax, templates, argument handling, shell injection, and file injection. Use when creating Gemini TOML commands, adding {{args}} argument handling, i...
AI governance and responsible AI planning including EU AI Act classification, NIST AI RMF, and AI ethics frameworks
AI tool that analyzes language and context to identify potential misinformation and fact-check claims made by public figures
Expert guide for building and managing Gemini CLI Extensions. Covers extension anatomy, GEMINI.md context, commands, MCP integration, and publishing. Use when creating Gemini extensions, linking local extension...
Evaluate AI systems for fairness using demographic parity, equalized odds, and bias detection techniques with mitigation strategies.
Open source license compliance including compatibility analysis, obligations tracking, and compliance workflows
Software Bill of Materials management including generation, formats, vulnerability tracking, and supply chain security
Select appropriate AI/ML models based on capability matching, benchmarks, cost-performance tradeoffs, and deployment constraints.
Automated email notification system for EU AI Act Article 13 compliance, featuring codebase change summarization and documentation distribution.
EU AI Act Article 73 compliance specialist for serious incident detection, classification, 15-day reporting timeline tracking, remediation workflow, and regulatory notification. AI-assisted automation with huma...
Plan explainable AI (XAI) requirements including SHAP, LIME, attention visualization, and regulatory explainability needs.
Synchronization patterns for CLAUDE.md and GEMINI.md memory files. Covers import syntax, drift detection, and one-way sync. Use when setting up GEMINI.md, detecting context drift between memory files, understan...
AI and technology ethics review including ethical impact assessment, stakeholder analysis, and responsible innovation frameworks
Comprehensive AI ethics and responsible AI development specialist. Use PROACTIVELY for bias assessment, fairness evaluation, ethical AI implementation, community impact analysis, and regulatory compliance. Trig...
Design multi-agent AI systems including orchestration patterns, tool design, memory management, and error handling for autonomous agents.
EU AI Act Article 40 compliance specialist for harmonized standards, API standardization, data format interoperability, vendor lock-in prevention, and ecosystem integration. AI-assisted standards compliance tes...
Estimate and optimize AI/ML costs including token usage, context window management, batch processing, and caching strategies.
Translate documentation and instructions to EU languages while preserving formatting. Use when the user wants to translate, localize, or convert documents to another language, especially for EU AI Act Article 1...
Generate comprehensive deployer and developer training documentation by scanning a codebase. Use when user asks for onboarding guides, developer documentation, system overviews, or needs to understand a new cod...
Design retrieval-augmented generation pipelines including chunking, embedding, retrieval, and context assembly strategies.
Conduct Fundamental Rights Impact Assessments (FRIA) for high-risk AI systems as required by EU AI Act Article 27. Use when (1) deployers of high-risk AI systems (Annex III) need to assess fundamental rights im...
Design, test, and version prompts with systematic evaluation and optimization strategies.
Plan ML projects using CRISP-DM, TDSP, and MLOps methodologies with proper phase gates and deliverables.
Design human-in-the-loop workflows including review queues, escalation patterns, feedback loops, and quality assurance for AI systems.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.