Explore our collection of Agent Skills to enhance your AI workflow.
Standardizes on-call shift transitions with structured handoff templates, escalation procedures, and context transfer patterns.
Generates professional ASCII-based charts, progress bars, and dashboards for terminal-based data visualization.
Implements comprehensive monitoring, distributed tracing, and automated alerting for Retell AI voice integrations.
Automates complex data migrations from external CRMs to Apollo.io with built-in validation, field mapping, and rollback strategies.
Generates structured, multi-level test plans and tracks verification progress across development sessions.
Refines rough ideas into fully-formed technical designs through iterative questioning and alternative exploration.
Guides users through a complete OpenSpec development cycle using real tasks within their own codebase.
Master C#/.NET architecture patterns to build production-grade APIs, MCP servers, and enterprise-scale backend services.
Automates the generation of standardized changelogs and release notes using industry conventions like Conventional Commits and Semantic Versioning.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and rigorous benchmarking.
Automates the installation and authentication setup for Customer.io SDKs in Node.js and Python projects.
Diagnoses and resolves common Fireflies.ai API errors, authentication failures, and integration issues.
Defines measurable goals and optimization metrics to ensure data tracking aligns with actual success criteria across any domain.
Configures enterprise-grade access control, SSO integration, and role-based permissions for Retell AI platforms.
Organizes and structures technical design documentation using standardized directory patterns and content guidelines.
Implements robust GDPR-compliant data handling, consent management, and automated data subject rights processing.
Provides a detailed overview of the ccmem memory system's health, composition, and activity metrics.
Automates the creation and configuration of Langfuse datasets for LLM evaluation and observability workflows.
Implements a systematic, hypothesis-driven methodology for the iterative improvement of AI agents through automated evaluations and data-driven feedback loops.
Implements ERC-721 and ERC-1155 NFT standards with professional-grade metadata management and marketplace integrations.
Generates comprehensive, blameless incident postmortems with root cause analysis, timelines, and actionable follow-up items.
Implement comprehensive monitoring, distributed tracing, and automated alerting for Instantly API integrations.
Implements secure storage, rotation, and retrieval of sensitive credentials across major CI/CD platforms and cloud providers.
Streamlines the transition from legacy AngularJS to modern Angular using hybrid patterns and incremental rewriting strategies.
Implements comprehensive Python testing strategies using pytest, mocking, and test-driven development best practices.
Creates a minimal working Lindy AI agent to verify environment setup and demonstrate core API patterns.
Implements validated architecture blueprints for Clay integrations ranging from simple MVPs to enterprise-scale microservices.
Enforces modern TypeScript best practices and type-safe patterns during development, review, and refactoring.
Optimizes embedding model selection and chunking strategies to improve semantic search and RAG application performance.
Analyzes and compares decentralized finance yield opportunities across multiple blockchain protocols and liquidity pools.
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