home / skills / onewave-ai / claude-skills / skill-composer-studio

skill-composer-studio skill

This skill chains existing skills into multi-step workflows with automatic handoffs and conditional logic for composite capabilities.

npx playbooks add skill onewave-ai/claude-skills --skill skill-composer-studio

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md

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

# 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

```markdown
# 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!

Overview

This skill chains multiple existing skills into custom multi-step workflows to automate complex tasks. It lets you programmatically combine building-block skills, define conditional logic, and set automatic handoffs so each step passes outputs to the next. You get a composite skill definition, error handling, and executable workflows ready for production.

How this skill works

You describe a multi-step process and the skill maps it to a sequence of available skills, specifying handoff points and data transformations between steps. It supports if-then-else branches based on intermediate outputs, optional retries, and fallback paths for errors. The output includes a workflow diagram, a complete composite skill definition (inputs, outputs, transformations), and an execution run with integrated results.

When to use it

Orchestrating multi-step automation across several AI skills (e.g., research → draft → edit → publish)
Building conditional pipelines that change behavior based on intermediate results
Combining niche skills into reusable composite skills for teams
Creating production-ready workflows with built-in error handling and retries
Rapidly prototyping multi-action agents without writing low-level integration code

Best practices

Define clear input and output contracts for each step to simplify handoffs
Keep steps small and focused so conditional logic and retries are easy to reason about
Normalize data formats between steps (JSON keys, field types) and declare transformations explicitly
Model error cases early: add retries, timeouts, and fallback steps for each critical operation
Document expected success criteria and sample inputs for automated testing

Example use cases

Sales outreach pipeline: enrich lead → generate personalized email → evaluate response likelihood → schedule follow-up
Content production: research topic → generate outline → write draft → perform SEO optimization → publish
Customer support: classify ticket → fetch knowledge-base article → draft response → escalate if confidence low
Product launch: collect market signals → generate positioning options → A/B test creatives → select winner
Developer automation: run tests → summarize failures → propose fixes → create pull request

FAQ

Can I include conditional branches in a workflow?

Yes. You can define if-then-else logic based on step outputs and route data to different subsequent skills.

How are errors handled during execution?

Workflows support retries, timeout settings, and explicit fallback steps; you can also surface errors for manual review.

Do I need to write code to use this skill?

No coding is required to design workflows, but composite skill definitions are exportable as code for production integration.