Total 50,649 skills, AI & Machine Learning has 8490 skills
Showing 12 of 8490 skills
Analyze and optimize system prompts using a structured prompting guidelines framework — AI-powered analysis and rewriting. Use when a prompt needs improvement, experiment results show quality gaps, or you want a structured review of an existing system prompt. Do NOT use when production traces show failures (use analyze-trace-failures first to identify patterns). Do NOT use to build evaluators (use build-evaluator).
This guide applies when designing, writing, or structuring AI courses, tutorials, lectures, and hands-on projects. It is also to be used when users request to create syllabi, write lecture notes, or design coding exercises related to AI/ML/LLM topics.
Use this when you are exploring the codebase. It lets you ask the AI who wrote code questions about how things work and why they chose to build things the way they did. Think of it as asking the engineer who wrote the code for help understanding it.
Manage Claude Code agent skills using the `asc` CLI tool. Use this skill when: (1) Listing available skills: "asc skills list", "what skills are available", "show me asc skills" (2) Installing skills: "asc skills install --name asc-cli", "install all skills", "add asc skills to my agent" (3) Viewing installed skills: "asc skills installed", "what skills do I have", "show my installed skills" (4) Removing a skill: "asc skills uninstall --name asc-auth", "remove a skill" (5) Checking for skill updates: "asc skills check", "are my skills up to date" (6) Updating skills: "asc skills update", "update my asc skills" (7) User asks "how do I install asc skills", "set up asc CLI skills", or "get the latest asc skills" (8) Troubleshooting skill installation or update issues (npx, skills CLI)
Use when the user needs to generate images, UI assets, icons, backgrounds, placeholders, or any visual content. Triggers on requests like "generate an image", "create a picture", "make an icon", "I need a visual for...".
Claude Code + Codex parallel pipeline for bootstrapping Trellis coding specs. CC analyzes the repo with GitNexus (knowledge graph) + ABCoder (AST), creates Trellis task PRDs with full architectural context and MCP tool instructions, then Codex agents run those tasks in parallel to fill spec files. Use when: bootstrapping coding guidelines, setting up Trellis specs, 'bootstrap specs for codex', 'create spec tasks', 'CC + Codex spec pipeline', 'initialize coding guidelines with code intelligence'. Also triggers when user wants to set up GitNexus or ABCoder MCP for multi-agent spec generation.
Monitors context window health throughout a session and rides peak context quality for maximum output fidelity. Activates automatically after plan-interview and intent-framed-agent. Stays active through execution and hands off cleanly to simplify-and-harden and self-improvement when the wave completes naturally or exits via handoff. Use this skill whenever a multi-step agent task is underway and session continuity or context drift is a concern. Especially important for long-running tasks, complex refactors, or any work where degraded context would silently corrupt the output. Trigger even if the user doesn't say "context surfing" — if an agent task is running across multiple steps with intent and a plan already established, this skill is live.
Validate Claude Code skills against the agentskills specification. Catches structural, semantic, and naming issues before users do.
Execute a GRACE development plan in controller-managed parallel waves with selectable safety profiles, batched graph sync, and scoped reviews.
Delegate coding tasks to Codex CLI for execution, or discuss implementation approaches with it. CodeX is a cost-effective, strong coder — great for batch refactoring, code generation, multi-file changes, test writing, and multi-turn implementation tasks. Use when the plan is clear and needs hands-on coding. Claude handles architecture, strategy, copywriting, and ambiguous problems better.
Conducts a guided conversational interview with the user about the image or scene they want to create, asking pertinent questions to fully understand their vision, then synthesizes a perfect model-appropriate prompt with recommended settings. Use when the user says "I want to create...", "help me make an image of...", "I have an idea for...", or asks for help crafting a prompt.
Generate AI images using Gemini or GPT APIs directly. Covers model selection (Gemini for scenes, GPT for transparent icons), the 5-part prompting framework, API calling patterns, multi-turn editing, and quality assurance. Produces photorealistic scenes, icons, illustrations, OG images, and product shots. Use when building websites that need images, creating marketing assets, or generating visual content. Triggers: 'generate image', 'ai image', 'create hero image', 'make an icon', 'generate illustration', 'create og image', 'ai art', 'image generation'.