Explore our collection of Agent Skills to enhance your AI workflow.
Designs and implements sophisticated LLM applications using the LangChain framework for agents, memory management, and modular workflows.
Develops type-safe applications using TypeScript 5.9, React 19, and Next.js 16 App Router patterns.
Accelerates software development by orchestrating parallel AI subagents to execute decomposed plans with integrated quality gates.
Audits frontend code against industry-standard guidelines to ensure high-quality UI, UX, and accessibility compliance.
Configures and personalizes your Claude Code Colab environment through interactive setup and automated notebook modification.
Implements complex development plans through systematic batch execution and mandatory human review checkpoints.
Conducts deep technical research and generates actionable planning reports for scalable, secure, and maintainable software solutions.
Automates the orchestration of specialized subagents for complex, multi-step coding tasks and cross-cutting repository changes.
Automates the end-to-end scientific research pipeline from hypothesis generation and data analysis to publication-ready LaTeX manuscripts.
Decomposes monolithic implementation plans into granular task files and identifies opportunities for parallel execution.
Refines rough concepts into production-ready technical designs through structured dialogue and incremental validation.
Optimizes code review workflows by enforcing technical verification and eliminating performative agreement in response to feedback.
Validates and bulletproofs Claude skills using a Red-Green-Refactor cycle and high-pressure subagent scenarios.
Transforms sprawling creative concepts into executable, minimal structures while preserving the unique signal of the original idea.
Ensures code excellence and security by performing systematic reviews based on industry best practices and rigorous safety standards.
Establishes flexible project boundaries and decision filters to guide workflows without the constraints of rigid rules or milestones.
Refines rough ideas into production-ready technical designs through collaborative questioning and incremental validation.
Orchestrates systematic requirement definition and SPEC-first development using the EARS framework and Plan-Run-Sync integration.
Generates and renders 21 types of professional Mermaid diagrams and architecture visualizations directly within Claude Code.
Automates protein testing and validation through a cloud-based laboratory platform for accelerated biotechnological research and sequence optimization.
Implements a homotopical framework for Artificial Life that treats organisms as morphisms and verifies structural changes at interaction time.
Performs systematic, high-quality Python code reviews focusing on security, logic correctness, and PEP 8 compliance.
Accelerates debugging by dispatching multiple concurrent AI agents to resolve independent test failures and system bugs simultaneously.
Provides a standardized boilerplate for creating and implementing custom domain-specific capabilities within Claude Code.
Identifies and surfaces emerging patterns and weak signals within complex information landscapes to reveal hidden insights.
Debugs and resolves Human-In-The-Loop (HIL) workflow regressions and payment/billing integration issues.
Prevents common software testing mistakes by enforcing best practices for mocking, production code isolation, and Test-Driven Development (TDD).
Transforms academic papers from LaTeX or PDF into interactive websites, presentation videos, and professional conference posters.
Designs and optimizes end-to-end community journeys from initial onboarding and retention to feedback collection and advocacy.
Enables direct control of Google Chrome via DevTools Protocol for seamless web interaction, automation, and data extraction within Claude.
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