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Found 9,195 Skills
Manage repositories, check pipelines, review PRs, and collaborate on Bitbucket
Advanced sub-skill for scikit-learn focused on model interpretability, feature importance, and diagnostic tools. Covers global and local explanations using built-in inspection tools and SHAP/LIME integrations.
Build trading systems in the style of Renaissance Technologies, the most successful quantitative hedge fund in history. Emphasizes statistical arbitrage, signal processing, and rigorous scientific methodology. Use when developing alpha research, signal extraction, or systematic trading strategies.
Mobile-first UX optimization for touch interfaces, responsive layouts, and performance. Use for viewport handling, touch targets, gestures, mobile navigation. Activate on mobile, touch, responsive, dvh, viewport, safe area, hamburger menu. NOT for native app development (use React Native skills), desktop-only features, or general CSS (use Tailwind docs).
Process and generate multimedia content using Google Gemini API for better vision capabilities. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (better image analysis than Claude models, captioning, reasoning, object detection, design extraction, OCR, visual Q&A, segmentation, handle multiple images), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image with Imagen 4, editing, composition, refinement), generate videos (text-to-video with Veo 3, 8-second clips with native audio). Use when working with audio/video files, analyzing images or screenshots (instead of default vision capabilities of Claude, only fallback to Claude's vision capabilities if needed), processing PDF documents, extracting structured data from media, creating images/videos from text prompts, or implementing multimodal AI features. Supports Gemini 3/2.5, Imagen 4, and Veo 3 models with context windows up to 2M tokens.
Migration monitoring, CDC, and observability infrastructure
Use when crafting compelling webinar narratives, engagement tactics, and attendee experiences.
Generate institutional-grade investment suitability reports including rationale, risk disclosure, and client suitability assessment. Use when the user asks to document investment decisions, create compliance reports, generate risk disclosures, prepare client-facing investment justifications, write suitability assessments, or produce fiduciary documentation for an investment recommendation or portfolio.
Use when building reliable and scalable distributed systems.
Bitbucket Git repository hosting with Pipelines. Use for Atlassian teams.
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks", "observability", "production monitoring", "cost tracking", or needs to debug, trace, and monitor DSPy applications in development and production.