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Found 2,123 Skills
A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.
Estimate market size using top-down, bottom-up, and triangulation methods. Use for market entry decisions, business planning, investment analysis, and TAM/SAM/SOM calculations.
Apply Partial Least Squares SEM (PLS-SEM) with reflective and formative measurement models to maximize explained variance in endogenous constructs. Use this skill when the user has small samples, formative indicators, or exploratory models, needs to assess AVE/CR/HTMT, or when they ask 'should I use PLS or CB-SEM', 'how do I handle formative constructs', or 'what is the path coefficient significance'.
Test your AI agent with simulation-based scenarios. Covers writing scenario test code (Scenario SDK), creating platform scenarios via the `langwatch` CLI, and red teaming for security vulnerabilities. Auto-detects whether to use code or platform approach based on context.
Systematically investigate social media claims and viral content. Use when fact-checking complex claims, when decomposing multi-part assertions, or when investigating narratives that mix facts with interpretation.
Exploration and Analysis of GitHub Trending. It is used to discover popular open-source projects, technology trends, and developer preferences, helping to understand the interest trends of the technical community.
Principal AI Architect and Machine Learning Engineer.
MLflow ML lifecycle management. Use for ML experiment tracking.
Extract tacit engineering knowledge through guided interviews and generate structured steerings. Use when user mentions "steerings", "tacit knowledge", "conventions", "engineering practices", "interview", or wants to document team/project knowledge. Also activates when user asks for "steerings for X", "document X conventions", "continue steerings", "resume interview", or wants to extract knowledge about a specific topic. Supports reviewing and transforming existing steerings to standard format. Auto-detects existing sessions and offers to continue incomplete ones.
Design systems, services, and architectures. Trigger with "design a system for", "how should we architect", "system design for", "what's the right architecture for", or when the user needs help with API design, data modeling, or service boundaries.
Use when you need hard pass fail eval gates for generated projects and skills; pair with addon-decision-justification-ledger and addon-human-pr-review-gate.
Critiques ML conference papers with reviewer-style feedback. Use when users want to anticipate reviewer concerns, identify weaknesses, check claim-evidence gaps, or find missing citations.