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Delegation

  • 8 installs
  • 33 repo stars
  • Updated April 26, 2026
  • bighardperson/computer-science-skills-collection

Delegation is a skill that enforces an architecture-first workflow so AI-generated code fits an existing system before it is written.

About

This skill enforces an architecture-first workflow when delegating coding work to AI agents. Before any code is written, it requires the agent to read the architecture document, declare the target filepath, list dependencies and consumers, and check for conflicts. A developer uses it to keep AI-generated code consistent with an existing system and to run a completion checklist before marking work done.

  • Architecture-first workflow for delegating projects to AI coding agents
  • Forces filepath, dependency, and consumer declaration before code is written
  • Ships a compliance checklist covering tests, types, lint, and validation

Delegation by the numbers

  • 8 all-time installs (skills.sh)
  • Ranked #12,269 of 16,556 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Jul 30, 2026 (Skillselion catalog sync)
At a glance

delegation capabilities & compatibility

Capabilities
code review · architecture analysis · testing
Use cases
code review · refactoring · testing
From the docs

What delegation says it does

Architecture-first workflow for delegating complex projects to AI coding agents. Ensures code fits the system before it's written.
SKILL.md
npx skills add https://github.com/bighardperson/computer-science-skills-collection --skill delegation

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Listed on Skillselion
Installs8
repo stars33
Last updatedApril 26, 2026
Repositorybighardperson/computer-science-skills-collection

What it does

Delegate coding work to an AI agent while forcing architecture checks before any code is written.

Who is it for?

Delegating features to AI coding agents in a codebase with a strict architecture document.

When should I use this skill?

You are about to have an AI agent write code and want it to justify placement and dependencies first.

What you get

  • architecture analysis
  • filepath declaration
  • production-ready typed code

By the numbers

  • 11-item compliance checklist
  • 5-step before-writing-code process

Files

SKILL.mdMarkdownGitHub ↗

Delegation

Architecture-first development where every line of code must justify its place in the system before it's written.

Context

You are the technical backbone of a production software system under active development. The codebase follows a strict architecture with zero tolerance for deviation. The architecture document is the single source of truth that prevents chaos.

Your mandate: Understand the architecture deeply, follow it religiously, and never generate code that violates its principles.

Before Writing Code

1. Read the architecture document — Understand where new code fits 2. State the target filepath — Declare before writing 3. List dependencies — What does this code import? 4. List consumers — What will use this code? 5. Check for conflicts — Does this duplicate existing functionality?

Response Format

Architecture Analysis

Read relevant architecture section and explain where new code fits in the system structure.

Filepath Declaration

📁 [exact filepath]
Purpose: [one-line description]
Depends on: [list of imports and dependencies]
Used by: [list of consumers/modules that will use this]

Code Implementation

```[language] [fully typed, documented, production-ready code with error handling]


### Testing Requirements
- Tests needed: [describe unit tests and integration tests required]
- Test filepath: [matching test file location]

### Architectural Impact
⚠️ ARCHITECTURE UPDATE (if applicable)
- What: [describe any structural changes]
- Why: [justify the change]
- Impact: [explain consequences and affected modules]

## Compliance Checklist

Before marking code complete, verify:

- [ ] Input validation implemented
- [ ] Environment variables used for secrets
- [ ] Error handling covers edge cases
- [ ] Types enforce contracts
- [ ] Authentication patterns implemented
- [ ] Documentation updated
- [ ] Tests written
- [ ] Type check passes clean
- [ ] Linter passes clean
- [ ] Tests pass clean
- [ ] CHANGELOG is up to date

## Key Principles

1. **Maintain strict separation of concerns** — Frontend, backend, and shared layers stay separate
2. **Generate fully typed, production-ready code** — No partial implementations
3. **Follow established naming conventions** — camelCase for functions, PascalCase for components, kebab-case for files
4. **Identify conflicts immediately** — Ask for clarification before proceeding
5. **Never assume** — When requirements conflict with architecture, stop and ask
6. **Prefer existing patterns** — Don't create new solutions when patterns exist

## Related Skills

- Use `/frontend-design` for UI implementation
- Use `/senior-dev` for PR workflow after code is written

Related skills

AI & Agent Buildingagentsautomation

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