Essential command-line tools and system utilities.
Meta-skill for creating workflow-optimized skills from MCP servers. Use when users want to create a custom skill that integrates one or more MCP servers into a specialized workflow. The user provides MCP server configurations and describes their work scenario (workflow, preferences, SOPs), and this skill generates a new skill with optimized scripts following Anthropic's MCP + code execution best practices.
Central authority for Gemini CLI session management. Covers session resume, retention policies, session browser, and cleanup. Use when resuming Gemini sessions, configuring retention, browsing past sessions, or managing session storage. Delegates 100% to gemini-cli-docs for official documentation.
Guide creation of focused single-purpose agents following the One Agent One Prompt One Purpose principle. Use when designing new agents, refactoring general agents into specialists, or optimizing agent context for a single task.
Interactive planning skill for Claude Code. Generates specs, implementation plans, and loop infrastructure through clarifying questions.
Design composable prompt sections for building agentic prompts. Use when creating reusable prompt components, designing LEGO-block prompt sections, or structuring prompts for the stakeholder trifecta.
Central authority for managing Claude Code user configuration directories (~/.claude/ and ~/.claude.json). Covers storage cleanup, backup/restore, reset workflows, MCP server preservation, history management, plan management, session statistics, and configuration health auditing. Delegates to docs-management skill for official documentation. Use when managing user config, cleaning up storage, backing up settings, resetting Claude Code, or auditing configuration health.
Reference guide for Claude Code slash commands (January 2026). Use when creating custom commands, understanding command frontmatter, argument syntax, context fork, hooks, or plugin command namespacing.
Customize existing skills through iterative improvement based on user feedback and preferences. Use when users want to personalize a skill to match their specific workflow, output preferences, domain requirements, or company standards by forking and iteratively refining an existing skill.
Central authority for Claude Code slash commands. Covers built-in commands, custom slash commands (project and personal), plugin commands, MCP slash commands, Skill tool (unified for commands and skills), frontmatter configuration, arguments ($ARGUMENTS, $1, $2), bash execution, file references, namespacing, and skills vs slash commands comparison. Assists with creating custom commands, configuring command behavior, understanding command types, and troubleshooting command issues. Delegates 100% to docs-management skill for official documentation.
Reference guide for Claude Code plugins system (January 2026). Use when creating, distributing, or understanding plugins, plugin.json schema, marketplace configuration, bundling skills/commands/agents/hooks/MCP/LSP, or plugin validation.
Compose technology-specific agent identity and patterns. Invoke before spawning agents (Developer, SSE, QA, Tech Lead, RE, Investigator) to enhance expertise based on project stack. Returns composed specialization block with token budgeting.
Central authority for Claude Desktop application - the native desktop app for running Claude Code sessions. Covers installation (macOS/Windows), Git worktrees for parallel sessions, .worktreeinclude file configuration, cloud session launch, environment configuration, MCP Desktop Extensions (.mcpb), and Desktop vs CLI comparison. Assists with Desktop setup, worktree configuration, cloud sessions, and troubleshooting. Delegates 100% to docs-management skill for official documentation.
Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns, file paths, content patterns), enforcement levels (block, suggest, warn), hook mechanisms (UserPromptSubmit, PreToolUse), session tracking, and the 500-line rule.
Central authority for Claude Code Model Context Protocol (MCP) integration. Covers MCP server installation (HTTP, SSE, stdio transports), server management (add, list, remove), installation scopes (local, project, user), plugin-provided MCP servers, enterprise MCP configuration, MCP resources and @ mentions, MCP prompts as slash commands, OAuth authentication, environment variable expansion, Claude Code as MCP server, output limits, and MCP security. Assists with connecting external tools, configuring MCP servers, managing authentication, and troubleshooting MCP issues. Delegates 100% to docs-management skill for official documentation.
Design composable agentic primitives for flexible workflows. Use when creating reusable workflow building blocks, designing SDLC primitives, or building agent operations that can be combined in different ways.
Design O-Agent systems for multi-agent fleet management. Use when building orchestrator agents, designing multi-agent architectures, or creating unified interfaces for agent fleet control.
Automatically delegate complex, logic-intensive tasks to OpenAI Codex CLI via `codex exec --full-auto`. Claude Code uses this skill to invoke Codex for complex backend logic, intricate algorithms, or persistent bugs. Enables seamless AI-to-AI collaboration where Claude Code analyzes and Codex executes.
Single source of truth and librarian for ALL Gemini CLI documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Gemini CLI documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from llms.txt; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, llms.txt parsing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.
Agent logs, reasoning, and token tracking. Use when logging interactions, saving reasoning, tracking tokens, or managing events.
Expert guide for configuring Google Gemini CLI. Covers global vs project settings.json, Trusted Folders, Policy Engine, and environment variables. Use when configuring Gemini settings, managing trusted folders, setting up security policies, or troubleshooting configuration precedence. Delegates to gemini-cli-docs for official references.
Manage AI CLI tools (Claude Code, Gemini CLI, Codex CLI). Use when user asks about AI tool versions, updates, installation, or wants to update their AI CLI tools. Detects installed tools, checks versions, and retrieves update instructions from authoritative sources using delegation-first pattern.
This skill should be used when the user asks to "create bash scripts", "automate Linux tasks", "monitor system resources", "backup files", "manage users", or "write production shell scripts". It provides ready-to-use shell script templates for system administration.
Single source of truth and librarian for ALL Cursor documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Cursor documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from llms.txt; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, llms.txt parsing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.
Create specialized agent experts with pre-loaded domain knowledge using the Act-Learn-Reuse pattern. Use when building domain-specific agents that maintain mental models via expertise files and self-improve prompts.
