By tanveerriaz
Reusable AI-agent skills for builders who ship. 26 practical, public-safe skills across coding, debugging, architecture, security, deployment, documentation, product, and enterprise delivery. Skills auto-load from the skills/ directory.
Use when an AI coding agent is asked to add, modify, refactor, or fix code in an existing codebase. Enforces a discovery-first workflow — search the repo before writing, analyze impact in plain language, gate risky changes behind explicit approval, then execute in small commits. Prevents duplicate implementations and silent breaking changes.
Use when ending an AI-agent work session, switching tools (e.g. Cursor to Claude Code), or handing work to a teammate. Produces a self-contained handoff note so the next agent or person can resume without re-reading the whole codebase — covering goal, state, decisions, open threads, and exact next steps.
Use when setting up or maintaining a project's AI-agent memory file (CLAUDE.md, AGENTS.md, .cursorrules, or copilot-instructions). Captures the durable project context an agent needs every session — stack, structure, conventions, guardrails — in one place, kept concise and free of secrets.
Use to review a code change (PR, diff, or AI-generated edit) before merging. Checks correctness, security, performance, and maintainability in a fixed order, with severity-tagged findings and concrete fixes. Especially useful for reviewing code an AI agent just wrote, where confident-but-wrong output is common.
Use when building or refactoring backend API endpoints. Applies a clean layering — thin route handler, service layer for business logic, repository for data access — with input validation, consistent error handling, and dependency injection, so endpoints stay testable, secure, and easy to extend.
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Reusable AI-agent skills for builders who ship. From prompt chaos to repeatable execution.
Works with: Claude Code · OpenAI Codex · Cursor · GitHub Copilot · VS Code · Antigravity
Created by Tanveer Riaz · Curious mind. Builder mode! 🇸🇬
Skillz is a public marketplace of practical Agent Skills designed to help AI coding agents move from prompt chaos to repeatable execution.
It is built around one idea:
Good AI work should be reusable, reviewable, safe, and easy to transfer across projects.
This library focuses on practical execution skills for:
This is not a prompt dump. This is a reusable execution layer for AI-native builders.
AI agents are powerful, but without structure they produce scattered, one-off output. The same problems get re-solved differently in every project, and good patterns get lost. Skillz captures what works, standardizes it, and makes it reusable and safe across tools — so AI agents behave less like an unpredictable intern and more like a disciplined delivery partner.
Every skill is written to be:
Each skill helps an AI agent do one useful thing better, repeatedly, and safely.
Every skill lives in skills/<skill-name>/SKILL.md with optional references/, scripts/, templates/, and examples/. The frontmatter description tells an agent when to activate the skill; the body gives it the procedure, checklist, and safety rules.
Install the whole library as a plugin marketplace:
/plugin marketplace add tanveerriaz/Skillz
/plugin install skillz@skillz
Or copy a single skill folder into your project's skills directory (e.g. .claude/skills/<skill-name>/). Either way, Claude reads each SKILL.md description and activates the skill when the task matches.
Reference the relevant SKILL.md in your prompt or repo instructions. Paste or link the procedure as the working contract for the task.
Add a skill's guidance to .cursor/rules/ as an .mdc rule, or keep the skills in-repo and reference the SKILL.md in your prompt. The procedure and safety rules map directly onto Cursor project rules.
Add key skills to .github/copilot-instructions.md or your workspace instructions so Copilot Chat follows the same procedures. Keep the full skill in-repo for reference.
Load the skill folders into your skills/instructions directory and reference them by name; the universal SKILL.md format is tool-agnostic.
Tip: the
agent-memory-fileskill explains how to wire durable project context into any of these tools.
npx claudepluginhub tanveerriaz/skillz --plugin skillzComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
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Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
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