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Found 1,204 Skills
Write or revise AGENTS.md per embedded output contract. Use when creating Agent entry for new projects, auditing existing AGENTS.md, or adopting the AI Cortex entry format.
Recommend the right agents and skills for any task. Covers both heavyweight agents (Task tool) and lightweight skills (Skill tool). Triggers on: which agent, which skill, what tool should I use, help me choose, recommend agent, find the right tool.
General Architecture Governance Specification, providing layering constraints, impact analysis, interface contracts, and dependency injection baselines. Suitable for architecture review, refactoring, and new module design of any multi-layer system.
This skill should be used when the user asks to "督促我", "remind me of tasks", "情勒鳥", "emotional bird", "check my Notion tasks", or wants a guilt-trip style notification about incomplete tasks.
Facilitate workshop sessions in a multi-turn, one-step flow with numbered recommendations at decision points and quick-select options for regular questions.
Tool for creating and validating Agent Skills. Use when users want to create a new skill or manage existing skills. Supports initialization, validation, and iterative development workflows.
Guide for creating Agent Skills: structure, best practices, and SKILL.md format for Claude Code, Codex, Gemini CLI, and other AI agents.
File-based knowledge persistence patterns: when to store discoveries, when to recall past solutions, and how to organize project memory. Activate when starting tasks, encountering errors, making decisions, or when context may be lost between sessions.
Replace with a description of what this skill does and when Claude should use it. Include keywords that help agents discover and activate this skill.
Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. This skill covers the Interactions API, the recommended way to use Gemini models and agents in Python and TypeScript.
Enables continuous self-improvement through learning from failures, user corrections, and capability gaps. Integrates with QAVR for learned memory ranking.
Orchestration workflow for orchestrator role ONLY. Use when: - Agent's role name (tmux pane title) is "orchestrator"