Explore our collection of Agent Skills to enhance your AI workflow.
Implements and refactors classic object-oriented design patterns to build flexible, maintainable, and scalable software systems.
Scaffolds production-ready RAG and document processing projects from curated LlamaFarm templates.
Implements strategic information layering to reduce cognitive load while maintaining feature depth for power users.
Streamlines the development of production-ready SvelteKit applications using Svelte 5 runes, type-safe remote functions, and modern architectural patterns.
Streamlines Python project management using the fast, Rust-powered uv package manager for dependencies and environments.
Ensures App Store submission success by providing compliance checks, rejection prevention strategies, and Apple-approved implementation patterns.
Queries and analyzes personal health, fitness, and wellness data from the Apple Health ecosystem using CLI tools and data exports.
Indexes and analyzes past Claude Code and Codex sessions to help you search history, track tool usage, and optimize agent workflows.
Detects outliers and anomalies in datasets using over 12 machine learning backends and automated training workflows.
Optimizes vector search performance by tuning HNSW parameters, quantization strategies, and search infrastructure scaling.
Analyzes meeting transcripts to identify communication patterns, leadership behaviors, and actionable feedback for professional growth.
Optimizes Docker containerization through multi-stage builds, security hardening, and production-grade orchestration patterns.
Automates repetitive task sequences by registering custom runbooks with specific triggers and action types.
Enforces a strict Red-Green-Refactor workflow to ensure high-quality, verified code production through test-first implementation.
Automates shell script verification using the Bash Automated Testing System (Bats) framework for robust and portable scripts.
Implements production-ready machine learning pipelines for IoT monitoring, fraud detection, and document intelligence using LlamaFarm patterns.
Automates the completion of feature development by verifying tests, managing branch merges, and streamlining pull request creation.
Enforces a rigorous, four-phase root cause investigation process to eliminate guesswork and ensure robust, permanent bug fixes.
Architects sophisticated LLM applications using LangChain 1.x and LangGraph for stateful agents, complex workflows, and advanced memory management.
Manage and query Salesforce CRM data directly through Claude Code using the simple-salesforce Python library.
Executes complex implementation plans by dispatching specialized subagents for per-task execution and rigorous multi-stage quality reviews.
Simplifies major framework migrations and dependency updates through compatibility analysis, staged rollout strategies, and automated breaking change handling.
Accelerates development by identifying and dispatching independent tasks to multiple AI agents for simultaneous execution.
Enforces technical rigor and verification when processing code review feedback to ensure codebase integrity over social compliance.
Automates the creation of isolated Git worktrees with safety verification and project environment setup.
Designs and implements robust event stores for event-sourced systems using industry-standard persistence patterns.
Applies Test-Driven Development principles to create, verify, and optimize reusable Claude Code skills.
Implements robust deployment protection for GitHub Actions using environment approval gates, wait timers, and branch-specific policies.
Generates comprehensive software architecture documentation including system overviews, API designs, data models, and security protocols.
Transforms vague ideas into structured technical designs through iterative collaborative dialogue and incremental validation.
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