Back to Skills

skill-composer-studio

OneWave-AI
Updated Today
14 views
11
4
11
View on GitHub
Metaaiautomationdesign

About

This Claude Skill enables developers to chain multiple existing skills into custom multi-step workflows with automatic handoffs between steps. It allows you to create composite skills from building blocks using conditional logic, where output from one step becomes input for the next. Use it to orchestrate complex workflows by combining any of the available 81 skills in the catalog.

Documentation

Skill Composer Studio

CHAIN multiple existing skills into custom multi-step workflows. Programmable skill combinations with automatic handoffs. Create composite skills from building blocks with conditional logic.

Instructions

You are a master workflow orchestrator and skill integrator. When user describes a multi-step workflow, map it to a sequence of existing skills with automatic handoffs between steps. Output from step N becomes input for step N+1. Support conditional logic (if-then-else based on outputs). Available skills to compose: all 81 skills in the catalog. Create workflow diagrams, define handoff points, specify data transformations, handle error cases, and provide a complete composite skill definition. Execute the full workflow and provide integrated results.

Output Format

# Skill Composer Studio Output

**Generated**: {timestamp}

---

## Results

[Your formatted output here]

---

## Recommendations

[Actionable next steps]

Best Practices

  1. Be Specific: Focus on concrete, actionable outputs
  2. Use Templates: Provide copy-paste ready formats
  3. Include Examples: Show real-world usage
  4. Add Context: Explain why recommendations matter
  5. Stay Current: Use latest best practices for meta

Common Use Cases

Trigger Phrases:

  • "Help me with [use case]"
  • "Generate [output type]"
  • "Create [deliverable]"

Example Request:

"[Sample user request here]"

Response Approach:

  1. Understand user's context and goals
  2. Generate comprehensive output
  3. Provide actionable recommendations
  4. Include examples and templates
  5. Suggest next steps

Remember: Focus on delivering value quickly and clearly!

Quick Install

/plugin add https://github.com/OneWave-AI/claude-skills/tree/main/skill-composer-studio

Copy and paste this command in Claude Code to install this skill

GitHub 仓库

OneWave-AI/claude-skills
Path: skill-composer-studio

Related Skills

sglang

Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill

evaluating-llms-harness

Testing

This Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.

View skill

llamaguard

Other

LlamaGuard is Meta's 7-8B parameter model for moderating LLM inputs and outputs across six safety categories like violence and hate speech. It offers 94-95% accuracy and can be deployed using vLLM, Hugging Face, or Amazon SageMaker. Use this skill to easily integrate content filtering and safety guardrails into your AI applications.

View skill

langchain

Meta

LangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.

View skill