Total 50,487 skills, AI & Machine Learning has 8477 skills
Showing 12 of 8477 skills
This skill should be used when the user says "save checkpoint", "checkpoint", "continue", "resume", "resume work", "save my progress", "clear checkpoint", or "clear all checkpoints". Saves and resumes named session checkpoints to preserve progress across Claude Code sessions. Tracks accomplishments, failed approaches, and modified files. IMPORTANT: When the user says bare "continue" or "resume" at session start and MEMORY.md lists active checkpoints, always invoke this skill.
6-phase investigation workflow for understanding existing systems. Auto-activates for research tasks. Optimized for exploration and understanding, not implementation. Includes parallel agent deployment for efficient deep dives and automatic knowledge capture to prevent repeat investigations.
Discover patterns, rules, and interfaces through iterative analysis cycles. Use when analyzing business rules, technical patterns, security, performance, integration points, or domain-specific areas. Includes cycle pattern for discovery to documentation to review workflow.
Validates Claude Code plugins against architectural best practices for Agents, Skills, MCP, and Progressive Disclosure. Use when validating plugin structure, reviewing manifest files, checking frontmatter compliance, or verifying tool invocation patterns.
Provides comprehensive guidance for DALL-E AI image generation including prompt creation, image generation, variations, and editing. Use when the user asks about DALL-E, needs to generate AI images, create image variations, or work with DALL-E API.
Creates Cursor-specific AI agent skills with SKILL.md format. Use when creating skills for Cursor editor specifically, following Cursor's patterns and directories (.cursor/skills/). Triggers on "cursor skill", "create cursor skill".
Master Anthropic's prompt engineering techniques to generate new prompts or improve existing ones using best practices for Claude AI models.
Face swap and deepfake generation using ModelsLab's Deepfake API. Swap faces in images and videos with high-quality AI-powered face replacement technology.
Advanced sub-skill for PyTorch focused on deep research and production engineering. Covers custom Autograd functions, module hooks, advanced initialization, Distributed Data Parallel (DDP), and performance profiling.
Ensures alignment between user and Claude during feature/spec planning through a structured interview process. Use this skill when the user invokes /plan-interview before implementing a new feature, refactoring, or any non-trivial implementation task. The skill runs an upfront interview to gather requirements across technical constraints, scope boundaries, risk tolerance, and success criteria before any codebase exploration. Do NOT use this skill for: pure research/exploration tasks, simple bug fixes, or when the user just wants standard planning without the interview process.
Use when user has complex multi-agent workflows, needs to coordinate sequential or parallel agent execution, wants workflow visualization and control, or mentions automating repetitive multi-agent processes - guides discovery and usage of the orchestration system
Quick onboarding for Genfeed focused on first content creation. Triggers on "how do I use genfeed", "getting started", "what is this app", "help me create my first content".