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content media llm ai AI Skills

Discover content media llm ai skills, compare source repositories and read the instructions for each workflow.

Categories: content media llm ai

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GitHub

spec-kit-feedback

pradeepmouli

Capture workflow usage data for spec-kit optimization. Auto-activates when: (1) completing a spec-kit workflow (/speckit.review, final commit), (2) encountering friction or confusion during workflows, (3) user...

GitHub

rl-optimization

pradeepmouli

Apply reinforcement learning principles when working on spec-kit-extensions. Auto-activates when: (1) editing command prompts in commands/*.md, (2) modifying workflow templates in extensions/workflows/, (3) dis...

GitHub

self-learning

gotar

Self-learning capability for agents. Captures execution traces, extracts insights, and adapts agent behavior. Use after completing complex tasks, when agents encounter recurring issues, or to optimize workflows...

GitHub

trading-wisdom

0xhubed

Core trading insights learned from Agent Arena competition. Use when making any trading decision to apply institutional knowledge.

GitHub

map-reduce

djgrant

When it would yield better results to explore mulitple approaches to a problem, load this skill to orchestrate multiple agents using a diverge and converge strategy.

GitHub

orchestrate

djgrant

When orchestrating tasks, load this core skill first to understand the general methodology.

GitHub

wrongodb-blogging

gabrielelanaro

Plan and write WrongoDB devlog posts in this repo. Use when asked to plan, outline, draft, or revise posts under blog/, generate blog images, or follow the series structure for WrongoDB. This skill embeds the c...

GitHub

adk-tools

MattMagg

This skill should be used when the user asks about "adding a tool", "FunctionTool", "creating tools", "MCP integration", "OpenAPI tools", "built-in tools", "google_search tool", "code_execution tool", "long-run...

GitHub

langgraph

MattMagg

Workflow patterns and gotchas for LangGraph. Directs to RAG for implementation.

GitHub

adk-behavior

MattMagg

This skill should be used when the user asks about "callbacks", "lifecycle hooks", "before_model_call", "after_tool_call", "plugins", "session state", "state management", "artifacts", "file uploads", "events",...

GitHub

anthropic-agents

MattMagg

Workflow patterns and gotchas for Anthropic/Claude agents. Directs to RAG for implementation.

GitHub

adk-core

MattMagg

This skill should be used when the user asks about "creating a new ADK project", "initializing ADK", "setting up Google ADK", "adk create command", "ADK project structure", "YAML agent configuration", "creating...

GitHub

openai-agents

MattMagg

Workflow patterns and gotchas for OpenAI Agents SDK. Directs to RAG for implementation.

GitHub

adk-production

MattMagg

This skill should be used when the user asks about "deploying", "production", "Agent Engine", "Vertex AI", "Cloud Run", "GKE", "Kubernetes", "hosting", "scaling", "guardrails", "safety", "content filtering", "i...

GitHub

adk-orchestration

MattMagg

This skill should be used when the user asks about "multi-agent systems", "sub-agents", "delegation", "agent routing", "orchestration", "SequentialAgent", "ParallelAgent", "LoopAgent", "agent-to-agent", "A2A pr...

GitHub

google-adk

MattMagg

Workflow patterns and gotchas for Google Agent Development Kit. Directs to RAG for implementation.

GitHub

crewai

MattMagg

Workflow patterns and gotchas for CrewAI. Directs to RAG for implementation.

GitHub

adk-advanced

MattMagg

This skill should be used when the user asks about "visual builder", "no-code agent builder", "drag and drop", "ThinkingConfig", "extended thinking", "chain of thought", "reasoning", or needs guidance on using...

GitHub

langchain

MattMagg

Workflow patterns and gotchas for LangChain. Directs to RAG for implementation.

GitHub

skill-factory

ScientiaCapital

Generate new Claude Skills for the Dual-Domain LLM Platform using natural language. Use when the user wants to create a new skill, automate a workflow, or build team capabilities. Activates when user mentions "...

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.

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