Explore our collection of Agent Skills to enhance your AI workflow.
Automates the implementation of distributed tracing and observability for microservices to provide end-to-end request visibility.
Analyzes and optimizes system performance by identifying bottlenecks and evaluating scaling strategies for high-capacity applications.
Provides a standardized reference and boilerplate for creating high-quality Claude Code plugin skills.
Scans codebases and configurations to identify PII leaks, compliance violations, and potential data privacy vulnerabilities.
Automates the software development lifecycle from specification to implementation using a structured, autonomous agent workflow.
Optimizes Claude Code skill discoverability by standardizing trigger phrases and invocation logic.
Calculates Value at Risk (VaR), volatility metrics, and optimal position sizes to manage investment risk and portfolio allocation.
Verifies that pull requests include required documentation updates by analyzing code changes and external wiki commits.
Keeps project documentation, READMEs, and agent steering specs perfectly in sync with recent code changes and feature implementations.
Automates complex multimodal AI operations including high-capacity video processing, audio generation, and marketing asset creation using Google Vertex AI.
Provides expert guidance for complex multimedia processing tasks including video/audio encoding, conversion, and live streaming.
Automates the creation of production-ready CI/CD pipeline configurations for GitHub Actions, GitLab CI, and Jenkins.
Automates regression testing and parameter sweeps for Software Defined Radio (SDR) signal processing using WaveCap-SDR.
Converts high-level product strategy artifacts into actionable tasks, epics, and execution-ready issue backlogs.
Navigates and maintains the Innozverse monorepo architecture by enforcing standardized file organization and naming conventions.
Reframes product requirements around user goals instead of features to ensure development aligns with actual user needs.
Monitors multi-agent activity in real-time through a specialized dashboard, providing live insights into tool calls and workflow traces.
Forecasts Polymarket prediction market prices using Nixtla TimeGPT to provide data-driven trading signals and probabilistic trend analysis.
Integrates external variables like holidays and weather data into TimeGPT models to significantly improve time series forecasting accuracy.
Fine-tunes the TimeGPT model on custom time series data to maximize forecasting precision for domain-specific applications.
Transforms technical UI labels and buttons into user-centric copy based on the Jobs to Be Done framework.
Automates complex video and audio processing tasks using the FFmpeg multimedia framework.
Optimizes database connection pooling and lifecycle management to enhance application performance and resource efficiency.
Automates the creation of production-ready disaster recovery plans and multi-region infrastructure configurations.
Implements advanced LLM interaction patterns and optimization techniques to maximize Claude's performance and reliability.
Optimizes UI microcopy across codebases using proven UX writing frameworks and interactive audit modes.
Locates UI components within a codebase using screenshots, route paths, or component names to bridge the gap between design and implementation.
Advocates for high-impact, high-velocity tasks to maximize project momentum and delivery speed.
Streamlines development of shared Kotlin codebases across Android, iOS, and desktop platforms using standardized patterns.
Maintains a structured, chronological log of project milestones, architectural decisions, and technical updates automatically.
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