Discover content media llm ai skills, compare source repositories and read the instructions for each workflow.
Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests. Use when you need to predict continuous values like housing prices, sales forecasts...
Analyze text content using both traditional NLP and LLM-enhanced methods. Extract sentiment, topics, keywords, and insights from various content types including social media posts, articles, reviews, and video...
Create or improve agent skills. Load when creating SKILL.md files, writing skill descriptions, or structuring skill content for OpenCode or Claude.
Manage aesthetic templates - save visual systems from completed mockups as interpretable prose, apply to new plugins with adaptive layouts
Create aesthetic templates without first creating a plugin - capture visual design concepts through adaptive questioning. Use when you want to build a library of visual systems before plugin implementation.
Adaptive brainstorming for plugin concepts and improvements when exploring ideas, not implementing. Autonomous triggers: "I want to make...", "Explore improvements to...", "brainstorm", "ideate", "new plugin id...
Orchestrates Stage 0 research and planning for JUCE plugins - creates architecture.md and plan.md contracts through subagent delegation. Use when creative brief exists and plugin needs DSP architecture specific...
Create and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL exploration, and Multi-Agent Supervisors (MAS) for multi-agent orchestration. Use when building conver...
MLflow 3 GenAI evaluation for agent development. Use when (1) writing mlflow.genai.evaluate() code, (2) creating @scorer functions, (3) building evaluation datasets from traces, (4) using built-in scorers (Guid...
Generate synthetic PDF documents for RAG and unstructured data use cases. Use when creating test PDFs, demo documents, or evaluation datasets for retrieval systems.
Gemini expert consultation for architecture design, second opinions, and code review. Use when: user requests Gemini, need alternative perspective, or get independent review. Gemini 是与 Claude 同等级别的顶级 A...
Transform an AI agent into a tasteful, disciplined development partner. Not just a code generator, but a collaborator with professional standards, transparent decision-making, and craftsmanship. Use for any dev...
This skill provides tools and techniques for e-commerce website automation. Includes advanced search, product comparison, cart management, checkout process and other common shopping scenarios. Suitable for task...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Neuro-symbolic AI combining LLMs with symbolic solvers. Use when implementing NL-to-logic translation, integrating Z3/Prover9/Pyke solvers, building self-refinement loops, or solving logical reasoning tasks.
TRIGGERS: "I'm done", "task complete", "finished coding", "ready for review", "/done", code explanation, defend my code, walk through, explain this code. USE WHEN: Junior completes a task and needs code compreh...
TRIGGERS: "interview prep", "STAR story", "behavioral interview", "how do I talk about this?", interview stories, situation task action result, tell me about a time, problem solving story. USE WHEN: Completing...
Swagger automation and Generic response documentation.
Standards for creating new High-Density Agent Skills with optimal token economy.
Create beautiful infographics based on the given text content. Use this when users request creating infographics.
Calculate training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model training prices. Tokenizes datasets using the corr...
Fine-tune LLMs using the Tinker API. Covers supervised fine-tuning, reinforcement learning, LoRA training, vision-language models, and both high-level Cookbook patterns and low-level API usage.
Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.
Run OpenAI's Codex CLI agent in non-interactive mode using `codex exec`. Use when delegating coding tasks to Codex, running Codex in scripts/automation, or when needing a second agent to work on a task in paral...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.