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LLM & AI

Large Language Models and AI agents.

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llm-ai

29.3K

nano-banana-pro-openrouter

Generate or edit images via OpenRouter with the Gemini 3 Pro Image model. Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.

github

data-ai

open

llm-ai

29.3K

Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)

github

data-ai

open

llm-ai

29.3K

agentic-eval

Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality

github

data-ai

open

llm-ai

29.3K

breakdown-feature-implementation

Prompt for creating detailed feature implementation plans, following Epoch monorepo structure.

github

data-ai

open

llm-ai

29.3K

code-exemplars-blueprint-generator

Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.

github

data-ai

open

llm-ai

29.3K

create-agentsmd

Prompt for generating an AGENTS.md file for a repository

github

data-ai

open

llm-ai

29.3K

fabric-lakehouse

Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.

github

data-ai

open

llm-ai

29.3K

finalize-agent-prompt

Finalize prompt file using the role of an AI agent to polish the prompt for the end user.

github

data-ai

open

llm-ai

29.3K

mcp-create-adaptive-cards

Skill converted from mcp-create-adaptive-cards.prompt.md

github

data-ai

open

llm-ai

29.3K

mcp-create-declarative-agent

Skill converted from mcp-create-declarative-agent.prompt.md

github

data-ai

open

llm-ai

29.3K

mentoring-juniors

Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: "help me understand", "explain this code", "I'm stuck", "Im stuck", "I'm confused", "Im confused", "I don't understand", "I dont understand", "can you teach me", "teach me", "mentor me", "guide me", "what does this error mean", "why doesn't this work", "why does not this work", "I'm a beginner", "Im a beginner", "I'm learning", "Im learning", "I'm new to this", "Im new to this", "walk me through", "how does this work", "what's wrong with my code", "what's wrong", "can you break this down", "ELI5", "step by step", "where do I start", "what am I missing", "newbie here", "junior dev", "first time using", "how do I", "what is", "is this right", "not sure", "need help", "struggling", "show me", "help me debug", "best practice", "too complex", "overwhelmed", "lost", "debug this", "/socratic", "/hint", "/concept", "/pseudocode". Progressive clue systems, teaching techniques, and success metrics.

github

data-ai

open

llm-ai

29.3K

microsoft-agent-framework

Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.

github

data-ai

open

llm-ai

29.3K

model-recommendation

Analyze chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency

github

data-ai

open

llm-ai

29.3K

onboard-context-matic

Interactive onboarding tour for the context-matic MCP server. Walks the user through what the server does, shows all available APIs, lets them pick one to explore, explains it in their project language, demonstrates model_search and endpoint_search live, and ends with a menu of things the user can ask the agent to do. USE FOR: first-time setup; "what can this MCP do?"; "show me the available APIs"; "onboard me"; "how do I use the context-matic server"; "give me a tour". DO NOT USE FOR: actually integrating an API end-to-end (use integrate-context-matic instead).

github

data-ai

open

llm-ai

29.3K

phoenix-tracing

OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.

github

data-ai

open

llm-ai

29.3K

project-workflow-analysis-blueprint-generator

Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.

github

data-ai

open

llm-ai

29.3K

remember-interactive-programming

A micro-prompt that reminds the agent that it is an interactive programmer. Works great in Clojure when Copilot has access to the REPL (probably via Backseat Driver). Will work with any system that has a live REPL that the agent can use. Adapt the prompt with any specific reminders in your workflow and/or workspace.

github

data-ai

open

llm-ai

29.3K