Total 51,079 skills, AI & Machine Learning has 8556 skills
Showing 12 of 8556 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.
Identify and eliminate AI-generated traces in Chinese text to make articles more natural and human-like. AI writing feature detection based on Chinese context, including clichés, over-modification, mechanical structures, etc. Referenced the Wikipedia "Signs of AI writing" guide and localized it for Chinese context.
The ultimate autonomous dev pipeline. Combines wavybaby (CoVe verification, skill discovery, MCP tooling) + GSD (roadmaps, phases, plans, discovery, state tracking) + Ralph (autonomous loop with circuit breakers). Generates a PRD, equips itself with the best tools, bootstraps a full GSD .planning/ structure, then runs Ralph to autonomously execute each plan with CoVe-verified code until the milestone is complete.
Generate comprehensive disease research reports using 100+ ToolUniverse tools. Creates a detailed markdown report file and progressively updates it with findings from 10 research dimensions. All information includes source references. Use when users ask about diseases, syndromes, or need systematic disease analysis.
The industry standard library for machine learning in Python. Provides simple and efficient tools for predictive data analysis, covering classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.
Security patterns for LLM integrations including prompt injection defense and hallucination prevention. Use when implementing context separation, validating LLM outputs, or protecting against prompt injection attacks.
Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, constructing context from retrieved documents, adding citations, or implementing hybrid search.
Generate chat completions using Sarvam AI's Sarvam-M model. Use when the user needs AI chat, text generation, question answering, or reasoning in Indian languages. Sarvam-M is a 24B parameter model with hybrid thinking, superior Indic language understanding, and OpenAI-compatible API. Free to use.
Expert in using v0.dev for AI-powered UI generation. Covers prompting strategies, component iteration, shadcn/ui integration, export workflows, and customization. Knows how to get the best results from v0 and integrate generated components into production codebases. Use when "v0, v0.dev, generate ui, shadcn component, ai component, generate component, v0, v0-dev, ui-generation, shadcn, component-generation, ai-ui, vercel" mentioned.
Multi-step reasoning patterns and frameworks for systematic problem solving. Activate for Chain-of-Thought, Tree-of-Thought, hypothesis-driven debugging, and structured analytical approaches that leverage extended thinking.
Verify and validate AI output before it reaches users. Use when you need guardrails, output validation, safety checks, content filtering, fact-checking AI responses, catching hallucinations, preventing bad outputs, quality gates, or ensuring AI responses meet your standards before shipping them. Covers DSPy assertions, verification patterns, and generate-then-filter pipelines.
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".