Total 50,906 skills, AI & Machine Learning has 8525 skills
Showing 12 of 8525 skills
Launch and manage Codex Cloud tasks from the CLI, including detached background watchers that track completion. Use when users ask to run coding work in cloud/background agents, queue multiple cloud tasks, poll task status, fetch cloud diffs, apply cloud outputs locally, or pair cloud kickoff with `$cas` orchestration.
We review Claude Code Skills based on official best practices and provide specific improvement suggestions. It is triggered by requests such as 'Review this skill', 'Check skill quality', 'Validate SKILL.md', 'I want to improve this skill'.
Scoped CLAUDE.md memory system that reduces context token spend. Creates directory-level context files, tracks savings via dashboard, and routes agents to the right sub-context.
通用图片生成 Skill，支持多种 AI 模型（ModelScope、Gemini 等），可被其他 Skills 调用
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
Create high-quality, production-grade skills for Claude Code. Expert guidance on skill architecture, workflow design, prompt engineering, and packaging. Use when user wants to create a new skill, build a skill, design a skill, write a skill, update an existing skill, improve a skill, refactor a skill, debug a skill, or package a skill. Triggers: 'create skill', 'build skill', 'new skill', 'skill creation', 'write a skill', 'make a skill', 'design a skill', 'improve skill', 'package skill', 'skill development', 'skill template', 'skill best practices', 'write SKILL.md'.
Build visual conversation workflows in Vapi with nodes for conversation steps, tool execution, conditional branching, and handoffs. Use when creating structured multi-step voice interactions that need deterministic flow control beyond what a single assistant prompt provides.
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
Weather/current-conditions verification workflow. Use when user asks for weather, temperature, forecast, rain/snow/wind, typhoon alerts, air quality, or other time-sensitive local conditions. Requires location + source links + local update/publish time; NEVER fabricate.
Audit an LLM eval pipeline and surface problems: missing error analysis, unvalidated judges, vanity metrics, etc. Use when inheriting an eval system, when unsure whether evals are trustworthy, or as a starting point when no eval infrastructure exists. Do NOT use when the goal is to build a new evaluator from scratch (use error-analysis, write-judge-prompt, or validate-evaluator instead).
Open a new context session at the start of a leader agent workflow. Records agentName, storyId, and phase in wint.contextSessions, emitting a structured SESSION CREATED block for downstream workers to inherit.
Analyze and trade meme coins using KryptoGO's on-chain cluster analysis platform. Covers wallet clustering, address labels, accumulation/distribution detection, and automated swap execution via the Agent Trading API.