Explore our collection of Agent Skills to enhance your AI workflow.
Automates the configuration and management of Railway.com infrastructure including projects, services, and environments via the Railway CLI.
Generates rigorous, agent-executable project plans using hierarchical decomposition and multi-LLM research integration.
Defines and enforces deterministic security boundaries for Amazon Bedrock agents using natural language and Cedar policy logic.
Analyzes application codebases to recommend and implement comprehensive observability strategies including logging, tracing, and metrics.
Tracks and analyzes the development lifecycle of AI skills through versioning, impact measurement, and pattern analysis.
Builds and manages semantic knowledge graphs to enhance autonomous coding and project understanding.
Simplifies the setup, schema configuration, and troubleshooting of Git-backed TinaCMS for content-heavy web applications.
Deploys a comprehensive LGTM and Grafana Alloy observability stack via Docker Compose to monitor Claude Code performance, costs, and logs.
Standardizes Python experiment layouts, stage entrypoints, and asset handling for consistent data science workflows.
Automatically identifies, verifies, and documents project-specific installation, build, and test commands.
Analyzes Claude Code telemetry to identify performance bottlenecks, failure patterns, and workflow inefficiencies.
Automatically identifies and verifies installation, testing, linting, and build commands within any repository.
Empowers autonomous AI agents with real-time X (Twitter) search, web search, and sandboxed Python code execution capabilities.
Facilitates large-scale code transformations using shadow paths and rollback strategies to ensure zero production downtime.
Implements production-grade prompt engineering patterns, RAG optimization, and agentic system architectures for advanced AI products.
Configures and manages secure authentication methods for Gemini CLI, including OAuth, API keys, and Vertex AI service accounts.
Extracts the GitHub issue number from your current Git branch name to automate project management and communication tasks.
Implements a structured Red-Green-Refactor cycle for autonomous feature development and high-quality code implementation.
Generates an organized filesystem cleanup strategy based on directory snapshots without modifying files directly.
Enables advanced interactive workflows with the Gemini CLI, featuring context management, session persistence, and automated YOLO execution modes.
Diagnoses and resolves Amazon ECS issues including task failures, networking bottlenecks, and IAM permission errors.
Sustains development progress and prevents project stagnation through systematic blocker resolution and energy management strategies.
Customizes and persists the AI's interaction style between technical and humanized modes to streamline developer communication.
Optimizes AWS Fargate deployments through expert sizing, cost-saving strategies like Spot and Graviton, and secure networking patterns.
Configures and manages OpenAI Codex CLI authentication, including OAuth login, API key orchestration, and secure multi-account switching.
Organizes and sanitizes project repositories by normalizing filenames, fixing broken markdown links, and rebuilding master documentation indexes.
Orchestrates a role-based multi-agent team using tmux to automate complex software development lifecycles.
Integrates Claude with the FinnHub API to retrieve real-time stock quotes, fundamental data, crypto prices, and market news.
Optimizes conversation history and token usage through server-side clearing, SDK compaction, and memory integration.
Provides core business logic, architectural guidelines, and onboarding context for the Sr Cardoso Barbearia application.
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