Production-grade engineering skills created by Systango Technologies for AI coding agents — covering the full software development lifecycle from spec to ship.
Implement the next task incrementally — build, verify, update todo
Simplify code for clarity and maintainability — reduce complexity without changing behavior
Map an existing codebase — business purpose, tech stack, architecture, conventions, and concerns
Break Jira story work into verifiable tasks using story-scoped plan files
Run the pre-launch checklist, prepare for production deployment, and update Jira ticket comments
Senior code reviewer that evaluates changes across five dimensions — correctness, readability, architecture, security, and performance. Use for thorough code review before merge.
Security engineer focused on vulnerability detection, threat modeling, and secure coding practices. Use for security-focused code review, threat analysis, or hardening recommendations.
QA engineer specialized in unit test writing and coverage analysis. Use for writing unit tests for existing code, analyzing unit test coverage gaps, or evaluating unit test quality.
Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.
Maps an existing codebase systematically. Use when entering an unfamiliar project, before writing specs or plans, or when you need to understand tech stack, architecture, conventions, business context, and outstanding concerns.
Tests in real browsers. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data via Chrome DevTools MCP.
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.
Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity.
Uses power tools
Uses Bash, Write, or Edit tools
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Production-grade engineering skills for AI coding agents.
Built by Systango
AI coding agents default to the shortest path — which often means skipping specs, tests, security reviews, and the practices that make software reliable. At Systango, we built Agent Skills to give agents structured workflows that enforce the same discipline our engineers bring to production code.
Each skill encodes hard-won engineering judgment: when to write a spec, what to test, how to review, and when to ship. These aren't generic prompts — they're opinionated, process-driven workflows that separate production-quality work from prototype-quality work.
The skills draw on well-established principles: Hyrum's Law in API design, change sizing in code review, Chesterton's Fence in simplification, trunk-based development, Shift Left and feature flags in shipping, and deprecation patterns that treat code as a liability — embedded directly into step-by-step workflows agents follow.
| Tool | Get started |
|---|---|
| Claude Code | /plugin install sys@systango-agent-skills |
| Cursor | curl -fsSL https://raw.githubusercontent.com/SystangoTechnologies/agent-skill-library/main/scripts/install-cursor.sh | bash → commands use /sys-* |
| Gemini | gemini skills install https://github.com/SystangoTechnologies/agent-skill-library.git --path skills |
Step-by-step install, SSH workarounds, uninstall, and per-tool setup: INSTALLATION.md · Getting started · Cursor · Gemini
Modular agent skills across the SDLC. Cursor installs use the /sys-* prefix shown on the diagrams below; Claude Code uses the same names without the prefix (for example /sys-spec → /spec).

Core engineering flow from codebase discovery through ship. Mermaid diagrams →

PM-first path: PRD → epic → breakdown → Jira sync, then hand off to engineering. Mermaid diagrams →
Jira-tracked engineering (story-grounded spec, sync.md preview before board updates) is documented in docs/lifecycles.md.
17 slash commands map to the development lifecycle. Each activates the right skills automatically.
npx claudepluginhub systangotechnologies/agent-skill-library --plugin sysFeature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Complete developer toolkit for Claude Code
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams