Explore our collection of Agent Skills to enhance your AI workflow.
Enables collaborative AI-assisted development through intelligent role switching, real-time code verification, and multi-modal programming workflows.
Configures production-ready Celery workers and distributed task queues for scalable background processing.
Manages Apple Notes directly within Claude, allowing users to search, browse, create, and delete notes seamlessly.
Automates the design, configuration, and implementation of complex neural network architectures through natural language commands.
Automates historical data migration from primary databases to cost-effective cold storage or archive tables while maintaining compliance.
Facilitates collaborative AI-assisted development sessions with intelligent role management, TDD workflows, and real-time code verification.
Performs comprehensive, multi-layered code assessments to identify security vulnerabilities, performance bottlenecks, and maintainability issues.
Documents technical choices, technology comparisons, and architectural rationale using standardized ADR templates to maintain a clear project history.
Generates realistic test data and database seed scripts to populate development and testing environments while maintaining relational integrity.
Automates the creation of end-to-end machine learning pipelines including data validation, model selection, and hyperparameter tuning.
Automates the entire thought leadership lifecycle from voice analysis and trend research to social media publishing and analytics.
Queries the NCBI ClinVar database to identify genetic variants, interpret pathogenicity classifications, and annotate genomic data for bioinformatics pipelines.
Automates quality control for stitched microscopy images by detecting saturation failures and visible tile grid patterns.
Identifies and resolves potential memory leaks by analyzing code patterns and resource management.
Measures, analyzes, and optimizes digital content performance using data-driven frameworks and platform-specific benchmarks.
Executes technical plans and implements production-grade code using the Claude Sonnet model within automated multi-AI workflows.
Converts API contracts into OpenAPI 3.1 specifications and automates the generation of multi-language SDK clients.
Finalizes and archives completed specification changes within the OpenSpec workflow to maintain a clean workspace.
Calibrates reinforcement learning reward scales to eliminate unrealistic drawdown metrics in algorithmic trading models.
Implements horizontal database sharding strategies to scale applications beyond single-server performance and storage limitations.
Automates the generation of production-ready configurations for AWS (ALB/NLB), Nginx, and HAProxy to streamline infrastructure deployment.
Generates comprehensive, prioritized security risk reports and executive summaries from threat model data.
Initializes a comprehensive documentation framework and project lifecycle structure for new or existing repositories.
Scans web applications for Cross-Site Scripting vulnerabilities and provides context-aware remediation guidance.
Maps security threats and controls to major compliance frameworks like OWASP, SOC2, and PCI-DSS to generate audit-ready documentation.
Deploys and trains autonomous agents using nine reinforcement learning algorithms integrated with the AgentDB ecosystem.
Streamlines the cleanup of multiple completed OpenSpec changes through batch archiving and intelligent spec synchronization.
Optimizes financial market universe selection using a multi-stage pipeline and SQLite-backed data management.
Analyzes application logs to automatically identify performance bottlenecks, recurring error patterns, and resource usage anomalies.
Automates authentication and interaction with the Wahoo Cloud API to manage fitness data, workouts, and device synchronization.
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