Explore our collection of Agent Skills to enhance your AI workflow.
Automates GitHub release workflows using semantic versioning and the gh CLI to streamline production delivery.
Simplifies the creation, validation, and rendering of secure, reusable web forms using the Nette Framework.
Ensures the integrity and quality of AI evaluation datasets through automated schema validation, duplicate detection, and coverage analysis.
Implements fault-tolerant AI workflows with robust state persistence and recovery for LangGraph applications.
Optimizes LLM performance and reduces API costs by implementing Redis-powered semantic similarity caching.
Manages stacked pull requests and dependent branches using the Graphite (gt) command-line tool.
Automates GitHub Issue resolution through a coordinated swarm of specialized AI agents and deterministic task tracking.
Standardizes a rigorous, technical-first approach to processing and implementing code review feedback without performative agreement.
Automates the creation of production-grade CI/CD pipelines, containerized environments, and Kubernetes-ready infrastructure.
Protects and maintains high-quality test datasets for AI/ML systems through automated backup, restoration, and integrity validation.
Standardizes HTTP API error responses using the machine-readable RFC 9457 Problem Details format for FastAPI and backend services.
Refines raw ideas into technical specifications and architectural designs through iterative questioning and collaborative feedback.
Enforces a rigorous test-first workflow to ensure production code is reliable, verified, and free of regressions.
Validates and stress-tests AI skill documentation using a TDD-inspired Red-Green-Refactor cycle to ensure agent compliance under pressure.
Evaluates AI-generated content quality using LLM-as-judge patterns, RAGAS metrics, and automated hallucination detection.
Stores architectural decisions, coding patterns, and lessons learned in a persistent knowledge graph for Claude Code.
Enforces rigorous, evidence-based verification protocols to ensure code is fully tested and functional before making completion claims or creating pull requests.
Implements high-performance real-time data streaming patterns using SSE, WebSockets, and ReadableStream APIs.
Builds complex AI workflows using decorator-based patterns for parallel execution, persistence, and human-in-the-loop interactions.
Automates the creation of isolated git worktrees with integrated safety checks, environment setup, and baseline testing.
Enforces high-quality testing standards by identifying and preventing common pitfalls like mock-testing and production code pollution.
Manages digital asset metadata, production dependencies, and cross-team delivery workflows within your content pipeline.
Performs structured technical SEO audits and incident response to resolve crawl anomalies and performance regressions.
Standardizes the creation of high-impact creative briefs to align marketing and creative teams on campaign objectives.
Diagnoses and resolves website crawlability, indexation, performance, and structured data issues to maximize search engine visibility.
Models revenue targets against headcount, ramp curves, and productivity assumptions to optimize sales team performance.
Orchestrates community program workflows, automation, and tooling management for scalable go-to-market operations.
Standardizes the capture and categorization of qualitative and quantitative sales deal insights to improve win rates.
Facilitates high-conversion social media engagement and prospect nurturing through structured frameworks and signal tracking.
Generates high-performing hooks, copy variations, and multi-channel creative playbooks for paid advertising campaigns.
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