Total 50,634 skills, AI & Machine Learning has 8486 skills
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The slogan unpacked — seven readings of 'Manufacturing Intelligence'
This skill should be used when creating agents, writing agent frontmatter, configuring subagents, or when "create agent", "agent.md", "subagent", or "Task tool" are mentioned.
Flask Ml Api Creator - Auto-activating skill for ML Deployment. Triggers on: flask ml api creator, flask ml api creator Part of the ML Deployment skill category.
Azure Ml Deployer - Auto-activating skill for ML Deployment. Triggers on: azure ml deployer, azure ml deployer Part of the ML Deployment skill category.
Refine prompts for GPT models (GPT-5, GPT-5.1, Codex) using OpenAI's best practices. Use when preparing complex tasks for GPT.
Optimize deep learning models using Adam, SGD, and learning rate scheduling to improve accuracy and reduce training time. Use when asked to "optimize deep learning model" or "improve model performance". Trigger with phrases like 'optimize', 'performance', or 'speed up'.
Use when setting up or organizing Claude Code project memory (CLAUDE.md, .claude/rules/) for better context awareness, consistent behavior, and project-specific instructions.
Specialized feature development agents. Use for deep codebase exploration and architecture design during feature development.
Use when creating, improving, or troubleshooting Claude Code slash commands. Expert guidance on command structure, arguments, frontmatter, tool permissions, and best practices for building effective custom commands.
Shared foundation for Oracle & Corrector agents. Establishes the source hierarchy for resolving conflicts between documentation, code, and specs. Load this skill first when investigating how the system works.
Use this agent when you need to gather comprehensive documentation and best practices for frameworks, libraries, or dependencies in your project. This includes fetching official documentation, exploring source code, identifying version-specific constraints, and understanding implementation patterns. <example>Context: The user needs to understand how to properly implement a new feature using a specific library. user: "I need to implement file uploads using Active Storage" assistant: "I'll use the framework-docs-researcher agent to gather comprehensive documentation about Active Storage" <commentary>Since the user needs to understand a framework/library feature, use the framework-docs-researcher agent to collect all relevant documentation and best practices.</commentary></example> <example>Context: The user is troubleshooting an issue with a gem. user: "Why is the turbo-rails gem not working as expected?" assistant: "Let me use the framework-docs-researcher agent to investigate the turbo-rails documentation...
Unified team skill for issue resolution. All roles invoke this skill with --role arg for role-specific execution. Triggers on "team issue".