Search Skills

Autonomously deploys products from PRD to production with zero human intervention, requiring a flag to bypass security permissions.

Enhances output accuracy for non-reasoning LLMs using prompt repetition methodology.

Enables secure sharing of Claude Code sessions between developers via file export/import, allowing seamless handoff of work context.

Manages terminal sessions for AI coding agents, enabling session control, MCP attachment, and agent configuration via CLI and TUI.

Provides expert guidance on Swift Concurrency best practices, patterns, and implementation for developers.

Extracts and analyzes network flows from pcap files, resolving IP addresses to hostnames to identify outbound connections and network destinations.

Generates config.toml for EchoKit servers with interactive setup for ASR, TTS, LLM, MCP services, API keys, and server launch.

Enables development of custom built-in functions for Rego policy engine, extending policy capabilities through code.

Automates Go version upgrades across source code, Docker configurations, CI/CD pipelines, and documentation for seamless dependency management.

Automates upgrading Helm chart dependencies (PostgreSQL, Vault) and related infrastructure components in the Chainloop project, including vendorized charts and CI/CD workflows.

Provides CLI-based knowledge storage and retrieval using AI DevKit's memory service, replacing MCP for AI workflow integration.

Interactive planning and execution tool for complex tasks, breaking them into actionable steps.

Optimizes user-provided prompts for AI models to improve response quality and relevance. Invoked immediately upon request without prior analysis.

Orchestrates root cause investigation and problem analysis through a Python script, initiating structured analysis without preliminary exploration.

Provides reference documentation for analyzing conversation history files generated by Claude Code.

Automates the synchronization of documentation files across a repository to maintain consistency and reduce manual effort.

Orchestrates immediate code refactoring analysis, technical debt review, and quality improvement via Python script orchestration.

Converts arXiv papers to LLM-optimized markdown from IDs, URLs, or PDF folders for AI processing.

Orchestrates immediate codebase analysis for architecture comprehension and repository orientation upon user request.

Generates diverse solution options from multiple reasoning perspectives for a defined problem using an AI-driven workflow without preliminary exploration.

Provides immediate structured reasoning for open-ended analytical questions via Python script orchestration without preliminary exploration.

Automates stress-testing of decisions and reasoning through a Python script, orchestrating critique workflows without initial analysis.

Detects and resolves inconsistencies between documentation, code, and specifications to ensure accurate alignment and quality.

Provides best practices for using Manim Community Edition (ManimCE) in Python for creating mathematical animations, covering Scene structure, animations, and LaTeX/MathTex integration.