Search Skills

Enables efficient searching within hierarchical data structures, allowing quick location of items in nested systems like file directories or organizational charts.

Accelerates file editing via Morph Apply API, processing text at 10,500 tokens/sec with 98% accuracy.

Systematic workflow for debugging hooks in frontend frameworks, resolving issues like non-firing hooks or incorrect outputs.

Spawns multi-agent patterns using the Agentica framework for AI system coordination and collaboration.

Offers problem-solving strategies for second-order ordinary differential equations (ODEs) and partial differential equations (PDEs).

Explains OPC (OLE for Process Control) architecture components and their role in industrial automation systems.

Offers step-by-step strategies for solving residue calculation problems in complex analysis.

Reference guide for Agentica's multi-agent infrastructure APIs, enabling configuration and management of distributed agent systems.

Offers step-by-step strategies for solving problems in abstract algebra, specifically focusing on field theory applications.

Translates technical plans into executable code with built-in verification steps for accuracy.

Provides problem-solving strategies for convex optimization problems, essential in machine learning and data science applications.

Guides developers through the test-driven development (TDD) workflow: plan, write tests, implement, and validate code.

Enables automatic indexing of data records upon their creation in database or search systems.

Token-efficient code analysis using a 5-layer static analysis stack (AST, Call Graph, CFG, DFG, PDG) for 95% token savings.

Provides reference for Claude Code CLI commands, flags, headless mode, and automation patterns to streamline development workflows.

Provides proven techniques and patterns for fine-tuning and optimizing large language models (LLMs) for specific applications.

Allows developers to inspect code or content before editing to prevent errors and maintain quality during development workflows.

Offers step-by-step strategies for solving convergence problems in real analysis, supporting student learning and conceptual mastery.

Embeds quality checks and validation into the development workflow to identify and resolve issues early in the coding process.

Configures and debugs the Agentica server as a Claude proxy, covering architecture, startup sequence, and troubleshooting.

Enables context isolation for AI agents to prevent cross-contamination in multi-agent systems, ensuring independent operation within designated environments.

Orchestrates codebase migration and rewriting through TDD-driven workflows with agent delegation to maintain test coverage and quality.

Provides problem-solving strategies for modular arithmetic applications within graph number theory, supporting mathematical research and analysis.

Performs AI-powered web search, research, and reasoning to gather and analyze information from the internet.