Total 50,676 skills, AI & Machine Learning has 8495 skills
Showing 12 of 8495 skills
Spec-Driven Development (SDD) methodology based on GitHub's SpecKit. Use for structured AI-assisted development with constitutional governance, phased workflows, and multi-agent coordination. Implements 7-phase process from constitution to implementation.
Generate specialized skills for each subsystem in the monorepo. Creates shared language skills and subsystem-specific checklists for high-quality AI code generation.
Use when defending constitutional order and peaceful institutions against deliberate destabilization or revolutionary disruption tactics. Applies when identifying, analyzing, or responding to chaos exploitation strategies documented in the chaos-seize skill.
Scaffolds per-project agent context — creates a tailored AGENTS.md, a CLAUDE.md symlink, and an agent_docs/ directory so AI agents can work effectively in the repository.
Multi-agent routing, channel bindings, and tool policies
Create and maintain a control-system metalayer for autonomous code-agent development in any repository. Use when you need explicit control primitives (setpoints, sensors, controller policy, actuators, feedback loop, stability and entropy controls), repo command/rule governance, and a scalable folder topology that lets agents operate safely and keep improving over time.
This skill should be used when the user asks to "create chatbot", "virtual agent", "VA topic", "NLU", "conversation", "chat flow", "topic block", or any ServiceNow Virtual Agent development.
Claude Code 环境一键同步工具。从 GitHub 仓库同步所有配置到本地：output-styles 风格、CLAUDE.md 全局提示词、MCP 服务器配置、Agent 配置、Plugin 配置。适用于多设备统一环境、换电脑恢复、团队共享配置等场景。当用户需要从 GitHub 仓库同步 Claude Code/OpenClaw 环境配置时使用此 skill。
Create effective AI skills. This skill should be used when user wants to create a new skill (or update an existing skill) that extends an AI with specialized capabilities, knowledge, workflows, or tool integrations.
Edit existing images with text prompts using fal.ai. Use when the user wants to modify, edit, transform, or change an existing image based on a text description. Supports multiple input images and local file upload.
Use when coordinating complex research tasks requiring literature synthesis, quantitative validation, or multi-source integration across researcher, calculator, synthesizer, and fact-checker skills
Before starting a task or taking a critical step, surface and verify the assumptions the agent is making. Checks 4 types - technical (libraries, APIs), data (files, formats), business logic (rules, scope), and user intent (what the user actually wants). Triggers on ambiguous requests, multi-step tasks, or whenever "are you sure", "check first", "don't assume" appears.