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Design composable agentic primitives for flexible workflows. Use when creating reusable workflow building blocks, designing SDLC primitives, or building agent operations that can be combined in different ways.

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SKILL.md

name composable-primitives
description Design composable agentic primitives for flexible workflows. Use when creating reusable workflow building blocks, designing SDLC primitives, or building agent operations that can be combined in different ways.
allowed-tools Read, Grep, Glob

Composable Primitives Skill

Guide design of composable agentic primitives for flexible workflow creation.

When to Use

  • Designing new agentic workflows
  • Customizing SDLC for specific needs
  • Mapping problem classes to primitives
  • Building organization-specific compositions

The Secret

"The secret of tactical agentic coding is that it's not about the software developer lifecycle at all. It's about composable agentic primitives you can use to solve any engineering problem class."

Core Primitives

Primitive Purpose Input Output
Classify Categorize input Issue/task Classification
Plan Create implementation spec Issue Plan file
Build Implement the plan Plan file Code changes
Test Validate functionality Code changes Pass/fail
Review Validate alignment Spec + code Issue list
Patch Fix specific issues Issue description Targeted fix
Document Generate documentation Code changes Doc files
Ship Deploy to production Validated code Deployed state
Branch Create isolated context Classification Branch name
Commit Save checkpoint Changes Commit hash

Composition Workflow

Step 1: Identify Problem Class

What type of work?

  • Chore (simple, low risk)
  • Bug (medium complexity, clear criteria)
  • Feature (complex, full SDLC)
  • Hotfix (urgent, minimal process)
  • Documentation (content only)

Step 2: Select Primitives

Based on problem class, choose primitives:

Problem Class Primitives
Chore Classify -> Build -> Test -> Ship
Bug Classify -> Plan -> Build -> Test -> Review -> Ship
Feature Full SDLC
Hotfix Patch -> Test -> Ship
Documentation Document -> Review -> Ship

Step 3: Order by Dependencies

Ensure correct sequencing:

  • Plan before Build (Build needs plan)
  • Build before Test (Test needs code)
  • Test before Ship (Ship needs validation)

Step 4: Add Validation Points

Where should failures stop the pipeline?

Plan -> Build -> [Test GATE] -> Review -> [Review GATE] -> Ship

Step 5: Define Entry/Exit

  • Entry: What triggers this workflow?
  • Exit: What signals completion?

Standard Compositions

Full SDLC

Classify -> Plan -> Build -> Test -> Review -> Document -> Ship

ZTE (Zero-Touch)

Classify -> Plan -> Build -> Test -> Review -> Document -> Ship
                              | |
                          [GATE]         [GATE]

Quick Fix

Classify -> Patch -> Test -> Ship

Review-Driven

Review -> Patch -> Test -> Ship

Custom Composition Design

Organization Factors

Consider:

  • Testing requirements (mandatory E2E?)
  • Review processes (who reviews?)
  • Documentation standards (auto-generated?)
  • Deployment pipelines (manual approval?)
  • Compliance needs (audit trails?)

Example: Compliance-Heavy

Classify -> Plan -> [Compliance Review] -> Build -> Test ->
[Security Scan] -> Review -> Document -> [Approval] -> Ship

Example: Rapid Iteration

Build -> Test -> Ship (no planning for small changes)

Key Memory References

  • @composable-primitives.md - Detailed primitives documentation
  • @template-engineering.md - Templates as primitive definitions
  • @adw-anatomy.md - ADW as composition framework

Output Format

Provide composition design:

## Workflow Composition

**Problem Class:** {type}
**Entry Trigger:** {trigger}
**Exit Criteria:** {criteria}

### Primitives Selected
1. Classify - Categorize the task
2. Plan - Create implementation spec
3. Build - Implement changes
4. Test - Validate functionality
5. Ship - Deploy to production

### Composition Flow

Classify -> Plan -> Build -> Test -> Ship | [GATE: Must pass]


### Validation Gates

- After Test: Abort if tests fail
- After Review: Optional based on confidence

### Customizations

- [Organization-specific additions]

Anti-Patterns

  • Rigid SDLC thinking (must do all steps)
  • Over-composition (too many primitives)
  • Under-composition (missing critical steps)
  • Ignoring failure paths (no gates)
  • One-size-fits-all (same for all problem classes)

Version History

  • v1.0.0 (2025-12-26): Initial release

Last Updated

Date: 2025-12-26 Model: claude-opus-4-5-20251101