Explore our collection of Agent Skills to enhance your AI workflow.
Generates and optimizes animated GIFs and emojis tailored specifically for Slack's size constraints and formatting requirements.
Generates professional charts, plots, and graphs from raw data using intelligent visualization selection and analysis.
Automates the adaptation and fine-tuning of pre-trained machine learning models for new tasks and datasets.
Deploys production-ready smart contract templates for staking, AMMs, governance, and lending systems.
Generates production-ready, multi-platform Ansible playbooks for automated server configuration and infrastructure management.
Automates the creation and execution of data cleaning and ETL pipelines to prepare datasets for machine learning and analysis.
Installs and manages specialized Nixtla data science and time-series forecasting skills for the Claude Code environment.
Generates structured, TDD-ready development task lists by analyzing project planning documentation and enforcing standardized workflows.
Performs automated fuzz testing on REST APIs to identify security vulnerabilities, input validation failures, and edge-case crashes.
Manages database schema evolution through automated, version-controlled migrations for SQL and NoSQL databases.
Automates the creation of multi-agent project architectures and production-ready full-stack environments.
Streamlines Holochain DNA development with standardized zome architectures, ValueFlows compliance, and optimized WASM patterns.
Catalogues and manages your suite of Nixtla time-series forecasting skills to provide instant discovery and selection guidance.
Automates the configuration and integration of machine learning experiment tracking tools like MLflow and Weights & Biases.
Guides beginners through a 21-question Socratic method to transform raw ideas into comprehensive, AI-ready technical documentation.
Scans Docker images and running containers for vulnerabilities using industry-standard tools like Trivy and Snyk to ensure secure deployments.
Searches and retrieves life sciences preprints from the bioRxiv database using keywords, authors, and DOIs.
Implements declarative GitOps workflows using ArgoCD and Flux for automated Kubernetes deployments and continuous reconciliation.
Provides deep insights into machine learning model predictions and behavior using interpretability techniques like SHAP and LIME.
Validates implementation readiness through a multi-point assessment to prevent wasted effort and architectural drift.
Analyzes and extracts pharmaceutical data from the DrugBank database to support drug discovery, pharmacology research, and chemical property analysis.
Automates the generation, management, and secure updating of environment-specific configurations and secrets across deployment stages.
Identifies and remediates security vulnerabilities across infrastructure-as-code, application configurations, and system settings.
Streamlines the creation, configuration, and distribution of professional Python packages using modern PEP standards and pyproject.toml.
Applies professional visual identities to documents, slides, and web artifacts using curated color palettes and typography.
Automates the configuration and integration of MLflow and Weights & Biases for machine learning experiment management.
Automates and validates local web applications using Playwright scripts with built-in server lifecycle management.
Automates professional spreadsheet creation, data analysis, and financial modeling with robust formula verification and formatting.
Validates application performance metrics against predefined budget thresholds to prevent regressions during development and CI/CD.
Automates comprehensive security vulnerability testing and penetration scanning for applications and APIs.
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