Skill UI

Configure a Rails project to run inside Conductor workspaces for parallel coding agents: creates conductor.json, bin/conductor-setup, and script/server scaffolding, links shared dev secrets, and updates Redis config to use REDIS_URL with isolated ports and namespaces.

This agent ensures perfect continuity between AI coding sessions by automatically saving session summaries, decisions, and pending tasks to local storage. It loads a detailed briefing at the start of new sessions, integrating with tools like Claude Code and Cursor to maintain project context without manual intervention.

This skill covers strategies for compressing conversation history in AI agent sessions to manage context window limits. It focuses on optimizing tokens-per-task rather than just tokens-per-request, using methods like anchored iterative summarization and structured summaries. It addresses artifact trail integrity and evaluation metrics for coding agents to prevent information loss during long sessions.

This skill allows you to delegate bounded coding tasks to the GitHub Copilot CLI while retaining review and landing responsibility. You write a brief, dispatch the task via a relay script, wait for completion, review the generated diff against your requirements, and finally commit the changes. It requires the Copilot CLI installed and authenticated, along with Node.js and Git. This approach ensures human oversight in the coding process, preventing silent failures and maintaining control over code quality.

This skill provides comprehensive guidelines for writing idiomatic and efficient C++ code. It covers memory management, modern types, move semantics, templates, error handling, concurrency, and common anti-patterns to ensure safe and maintainable software development.

CRED-OMEGA serves as an enterprise operational CISO engine for comprehensive credential and secret management. It integrates with AI coding tools to secure API keys and vaults. Use this skill for specialized security tasks involving credential governance, secret handling, and enterprise security compliance. Avoid for general assistance or when simpler tools are available.

This skill provides comprehensive language-specific guidelines for writing idiomatic and efficient C# code. It covers essential topics such as LINQ usage, null handling, async/await patterns, records, pattern matching, error handling, and resource management. The guide also highlights common anti-patterns to avoid, ensuring developers follow best practices for maintainability and performance in C# projects.

This skill provides language-specific super-code guidelines for Dart programming. It covers idiomatic patterns for null safety, collections, classes, async/await, and error handling. It also includes Flutter-specific patterns and anti-patterns to avoid. Use this when writing clean, efficient, and maintainable Dart code for applications or Flutter interfaces.

This skill provides direction and intent for frontend design tasks. It helps define purpose, tone, domain, color world, and review criteria before coding. It incorporates cross-domain lenses from cinema, architecture, marketing, UX, and automotive design to create memorable interfaces. Use it with the design skill to ensure intentional craftsmanship, focusing on constraints, differentiation, and high-impact visual elements while maintaining accessibility and performance standards.

This skill automates the creation of pre-configured development containers (devcontainers) tailored for specific programming languages like Python, Node, Rust, and Go. It integrates Claude Code with language-specific tooling, persistent volumes, and sandboxed workspaces. Ideal for setting up isolated development environments, adding devcontainer support to existing projects, or configuring secure coding workspaces without manual setup.

Delegates coding and analysis tasks from Claude Code to OpenAI Codex CLI or Google Antigravity CLI, maintains topic-aware sessions, and critiques returned results.

Ditto mines user words from local coding-agent session logs to create private work, design, and writing profiles. It requires explicit user approval before mining begins and keeps all data local. This skill routes a compatible Ditto runtime to extract patterns from real coding history rather than questionnaires, ensuring privacy and evidence-backed personalization for AI agents.