# co3-functional-composition

> Apply CO3 Functional Composition to chain pure operations where output of one becomes input of next.

- Author: Reuben Bowlby
- Repository: hummbl-dev/hummbl-agent
- Version: 20260126123420
- Stars: 1
- Forks: 0
- Last Updated: 2026-02-06
- Source: https://github.com/hummbl-dev/hummbl-agent
- Web: https://mule.run/skillshub/@@hummbl-dev/hummbl-agent~co3-functional-composition:20260126123420

---

---
name: co3-functional-composition
description: Apply CO3 Functional Composition to chain pure operations where output of one becomes input of next.
version: 1.0.0
metadata: {"clawdbot":{"nix":{"plugin":"github:hummbl-dev/hummbl-agent?dir=skills/CO-composition/co3-functional-composition","systems":["aarch64-darwin","x86_64-linux"]}}}
---

# CO3 Functional Composition

Apply the CO3 Functional Composition transformation to chain pure operations where output of one becomes input of next.

## What is CO3?

**CO3 (Functional Composition)** Chain pure operations where output of one becomes input of next.

## When to Use CO3

### Ideal Situations
- Assemble components into a coherent whole
- Integrate multiple solutions into a unified approach
- Design systems that depend on clear interfaces and seams

### Trigger Questions
- "How can we use Functional Composition here?"
- "What changes if we apply CO3 to this integrating two services?"
- "Which assumptions does CO3 help us surface?"

## The CO3 Process

### Step 1: Define the focus
```typescript
// Using CO3 (Functional Composition) - Establish the focus
const focus = "Chain pure operations where output of one becomes input of next";
```

### Step 2: Apply the model
```typescript
// Using CO3 (Functional Composition) - Apply the transformation
const output = applyModel("CO3", focus);
```

### Step 3: Synthesize outcomes
```typescript
// Using CO3 (Functional Composition) - Capture insights and decisions
const insights = summarize(output);
```

## Practical Example

```typescript
// Using CO3 (Functional Composition) - Example in a integrating two services
const result = applyModel("CO3", "Chain pure operations where output of one becomes input of next" );
```

## Integration with Other Transformations

- **CO3 -> DE3**: Pair with DE3 when sequencing matters.
- **CO3 -> SY8**: Use SY8 to validate or stress-test.
- **CO3 -> RE2**: Apply RE2 to compose the output.

## Implementation Checklist

- [ ] Identify the context that requires CO3
- [ ] Apply the model using explicit CO3 references
- [ ] Document assumptions and outputs
- [ ] Confirm alignment with stakeholders or owners

## Common Pitfalls

- Treating the model as a checklist instead of a lens
- Skipping documentation of assumptions or rationale
- Over-applying the model without validating impact

## Best Practices

- Use explicit CO3 references in comments and docs
- Keep the output focused and actionable
- Combine with adjacent transformations when needed

## Measurement and Success

- Clearer decisions and fewer unresolved assumptions
- Faster alignment across stakeholders
- Reusable artifacts for future iterations

## Installation and Usage

### Nix Installation
```nix
{
  programs.clawdbot.plugins = [
    { source = "github:hummbl-dev/hummbl-agent?dir=skills/CO-composition/co3-functional-composition"; }
  ];
}
```

### Manual Installation
```bash
clawdhub install hummbl-agent/co3-functional-composition
```

### Usage with Commands
```bash
/apply-transformation CO3 "Chain pure operations where output of one becomes input of next"
```

---
*Apply CO3 to create repeatable, explicit mental model reasoning.*