EasyGlobe Skills
AI & Machine Learning Skills Hub
A shared ai & machine learning category page for Claude Skills, Codex Skills, Gemini Skills, Kimi Skills, GLM Skills, and team workflows.
How to choose
Review the agents and workflows covered by this category, then open a skill detail page to check task boundaries, README notes, setup requirements, and expected outputs.
How To Use This Skill
Use this category to organize agent-ready skills for model evaluation, prompt systems, agent design, ML workflows, and AI product operations. Each page follows the same skills template so teams can compare categories quickly and adapt the workflow to Claude, Codex, Gemini, Kimi, GLM, or internal SOPs.
Usable AI Agents and Models
Works well as
AI & Machine Learning Skills
Popular AI & Machine Learning Skills
Start with the skills in this AI & Machine Learning category that are easiest to evaluate first. Each detail page includes a download link, the original Skill URL, and notes for adapting the workflow to Claude, Codex, Gemini, Kimi, GLM, or a team SOP.
Wind Agent Skill
Wind finance agent with Feishu, WeChat, and DingTalk binding support.
Use for A-shares tasks that should become a reusable agent workflow.
Marvis Skill
Tencent agent product with interesting scenario coverage.
Use for Tencent tasks that should become a reusable agent workflow.
agentic-in/inferoa Skill
Inference-native tokenmaxxing agent harness for loop engineering, with slash-command loops, verification evidence, memory, context control, and routing visibility.
Use for Loop engineering, Agent harness, Token optimization tasks that should become a reusable agent workflow.
Curated Skill Resources
Useful Skill, MCP, Agent, and finance API resources imported from the FynnZhang designer tool library and manual curation.
Wind finance agent with Feishu, WeChat, and DingTalk binding support.
Tencent agent product with interesting scenario coverage.
Inference-native tokenmaxxing agent harness for loop engineering, with slash-command loops, verification evidence, memory, context control, and routing visibility.
Agent-agnostic loop engineering framework for play-test-fix-verify-improve cycles with logs, heartbeats, baselines, guardrails, and auditable stop conditions.
Video-understanding skill that accepts URLs or local files, extracts scene-aware frames, collects captions or Whisper transcripts, and combines the evidence for agent analysis.
Generate visually unified, image-based PPT and PPTX decks from articles, reports, papers, notes, or outlines with Codex and other skill-compatible agents.
Distill courses, books, videos, audio, PDFs, slides, transcripts, OCR, and notes into source-grounded mentor, expert, consultant, practitioner, or custom agent skills.
Generate clean 2D game sprites and animation atlases through a component-row pipeline with chroma-key cleanup, frame extraction, deterministic atlas composition, QA reports, and curation tools.
Core Workflows
Context and input setup
Define the source material, constraints, goal, expected output, and quality bar for ai & machine learning work.
Agent execution workflow
Run the task through Claude Skills, Codex Skills, Gemini Skills, Kimi Skills, GLM Skills, or another agent with clear checkpoints.
Review and reusable handoff
Package the result into a checklist, reusable prompt, operating note, or implementation handoff.
Typical Outputs
Frequently Asked Questions
Can AI & Machine Learning skills be used with Claude, Codex, Gemini, Kimi, and GLM?
Yes. The category is written as a model-flexible skills hub entry, so the same workflow can become a Claude Skill, Codex Skill, Gemini Skill, Kimi Skill, GLM Skill, or team SOP.
Why use one template for every category page?
A shared template makes the directory easier to scan: every category shows supported agents, core workflow steps, expected outputs, and FAQs in the same structure.