AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Standardizes the development of command-line interfaces using industry-proven patterns and Unix conventions.
Configures your local environment and links projects to Vercel for seamless cloud deployment.
Scans git repositories for hardcoded secrets, credentials, and API keys to prevent security breaches and data leaks.
Automates local web application testing and UI verification using Playwright and server management utilities.
Scans codebases for placeholders, TODOs, and stubs to generate structured remediation plans for technical debt.
Implements industry-standard patterns for building, debugging, and optimizing MetaTrader 5 technical indicators.
Identifies high-quality B2B leads and develops personalized outreach strategies by analyzing your product and target market.
Analyzes and stabilizes complex schedules using time-crystal-inspired periodic detection and anti-churn metrics.
Streamlines the creation and maintenance of AI agent capabilities by enforcing the open Agent Skills specification and best practices.
Performs comprehensive pull request audits focusing on security, performance, code quality, and testing standards.
Implements high-performance concurrent Python applications using expert-level asyncio and async/await programming patterns.
Validates triadic color systems using predictive loops and active inference to ensure compositional coherence.
Applies systematic inclusion and exclusion criteria to automate literature screening and ensure PRISMA compliance.
Verifies thread ancestry and reconstructs balanced world states to facilitate epistemic arbitrage and skill orchestration.
Implements society merge protocols and knowledge network coordination using Block Science KOI patterns and GF(3) ternary logic.
Develops intent-centric programs for Anoma using Juvix with categorical Geb compilation and GF(3) conservation checks.
Automates the process of merging task branches into base branches using linear history and worktree-aware workflows.
Formulates and refines high-quality research questions using the scientifically recognized FINER criteria.
Establishes a foundational 5-layer topological framework for agent-based systems using sheaf theory and GF(3) arithmetic.
Identifies and analyzes fixed points in dynamical systems where vector fields vanish to determine system stability.
Facilitates high-performance peer-to-peer file transfers and cross-subnet discovery using LocalSend protocol integration and MCP toolsets.
Tests Tizen application sandboxes for privilege escalation and escape vulnerabilities to ensure robust process isolation.
Simplifies the creation and optimization of custom GLSL shaders for the Ghostty terminal emulator.
Rebalances resource distribution and wildlife spawn density for procedural world generation.
Build high-performance web applications using the Fresh framework, Preact components, and Tailwind CSS within the Deno ecosystem.
Regenerates documentation files from marketplace data using Jinja templates to keep plugin and agent references in sync.
Executes untrusted code in secure, isolated Linux microVMs for AI agents and multi-tenant applications.
Provides expert guidance for modern Deno development including JSR package management, configuration, and CLI workflows.
Conducts systematic qualitative interview analysis using abductive reasoning to generate novel theoretical insights from research data.
Automates experiment tracking and backtest logging using the MLflow Python API and QuantStats metrics.
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