Agent Skills

A curated collection of specialized skills for AI coding agents. Each skill packages expert knowledge, production-ready scripts, document templates, and reference guides into a self-contained module that any compatible agent can load on demand.

What's Inside

Skill	Description	Category
Agent Development	Design and build AI agents with persistent memory, tool use, and multi-turn conversation	AI Agents
AngularJS Unit Testing	Jasmine and Jest testing for AngularJS controllers, services, filters, and directives	Testing
Ansible	Automate configuration management and application deployment with Ansible	DevOps
Argo CD	Deploy Kubernetes apps declaratively with Argo CD applications and projects	DevOps
Datadog	Query Datadog observability data — logs, metrics, monitors, dashboards, APM, and incidents	Observability
Docker	Build, run, debug, and manage Docker containers, compose files, networking, and registries	DevOps
GitHub	GitHub operations via gh CLI — issues, PRs, CI runs, code review, and API queries	Developer Tools
GitHub CI	Write and maintain GitHub Actions CI workflows, triggers, runners, and caching	CI/CD
Helm	Package and deploy Kubernetes applications with Helm charts and releases	DevOps
kubectl	Manage Kubernetes resources, contexts, and workloads with kubectl	DevOps
MCP Builder	Create MCP (Model Context Protocol) servers for LLM tool integration	AI Agents
MedusaJS Developer	Medusa v2 modules, API routes, data models, workflows, and plugin development	E-commerce
Next.js Developer	App Router, Server Components, data fetching, routing, caching, and performance optimization	Web Framework
Pulumi	Manage cloud infrastructure with Pulumi using general-purpose programming languages	IaC
Roblox Game Developer	Luau scripting, game mechanics, UI/UX design, and monetization strategies	Game Development
Sentry	Inspect Sentry issues and events, summarize production errors, and pull health data	Observability
Supabase Developer	PostgreSQL, authentication, Row Level Security, Storage, Edge Functions, and Realtime	Backend / BaaS
Terraform	Plan, apply, and manage infrastructure with Terraform and HCL configuration	IaC

Skill Structure

Every skill follows the same convention so agents can discover and load them predictably:

<skill-name>/
├── SKILL.md          # Skill definition and instructions
├── scripts/          # Production-ready utility scripts
├── templates/        # Document and code templates
└── resources/        # Reference guides and deep-dive docs

• SKILL.md — The entry point. Contains the skill name, description, and procedural instructions the agent follows when the skill is activated.
• scripts/ — Copy-paste-ready code the agent can drop into a project.
• templates/ — Scaffolding for common project artifacts (design docs, test plans, etc.).
• resources/ — In-depth reference material the agent can consult when it needs deeper context.

Adding a New Skill

1. Create a directory at the project root named in kebab-case (e.g. stripe-developer)
2. Add a SKILL.md with frontmatter containing name and description
3. Include scripts/, templates/, and resources/ directories as needed
4. Open a PR

SKILL.md Template

---
name: your-skill-name
description: One-line description of what this skill provides
---

# Your Skill Name

## Overview
Brief description of the skill and what it covers.

## Core Capabilities
- Capability one
- Capability two

## Scripts
- `scripts/example.ts` — What it does

## Templates
- `templates/example.md` — What it produces

## Resources
- `resources/reference.md` — Deep-dive reference material

License

MIT — Dawson Blackhouse, 2026