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ai-output-validation
Validates, parses, and sanitizes AI-generated outputs before they reach end users or downstream systems. Structured output enforcement, schema validation, and fallback handling.
Choose how to use this skill
You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.
1. Native installer
This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.
Do not guess an installer command or replace an existing version without reviewing the diff.
2. Complete package recommended
Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.
No complete ProSkills package is published for this listing yet.3. Prompt-only
Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.
Need only the instruction file?
Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.
No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.
// RATINGS
Not yet listed on ClawHub or SkillsMP
// README
🤖 AI Agent Skills
Production-grade AI agent skills for real-world applications — and everyday use
Inspired by addyosmani/agent-skills and forrestchang/andrej-karpathy-skills
🌐 View the Interactive Skills Browser →
🎯 What is this?
AI agents are only as good as the instructions they follow. AI Agent Skills is a curated, battle-tested library of skill files — structured markdown prompts — that transform AI coding agents (Claude, Gemini, Cursor, Copilot, etc.) into disciplined, production-ready engineers.
Unlike generic prompts, these skills encode actual workflows with steps, checkpoints, verification gates, and anti-pattern guards — the same discipline senior engineers bring to every production deployment.
THINK → PLAN → BUILD → TEST → REVIEW → HARDEN → SHIP
↓ ↓ ↓ ↓ ↓ ↓ ↓
Clarify Break Write Verify Quality Security Deploy
Goals Down Code Output Gates Gates Live
🏆 Why This Repo Goes Beyond the Rest
| Feature | This Repo | agent-skills | karpathy-skills |
|---|---|---|---|
| Production + Everyday use | ✅ | Production only | General |
| Multi-agent orchestration | ✅ | ❌ | ❌ |
| AI safety & hallucination guards | ✅ | ❌ | Partial |
| RAG / Memory skills | ✅ | ❌ | ❌ |
| Prompt injection defense | ✅ | ❌ | ❌ |
| GitHub Pages search UI | ✅ | ❌ | ❌ |
| 30+ curated skills | ✅ | 20 skills | 4 principles |
| Everyday productivity skills | ✅ | ❌ | ❌ |
⚡ Quick Start
Step 1 — Clone the repo
git clone https://github.com/DevelopersGlobal/ai-agent-skills.git
Step 2 — Pick a skill and copy it into your agent
Claude / Cursor / Copilot / any agent:
Copy the contents of any SKILL.md file into your agent's system prompt, instructions file, or context window.
For Claude Code — add to your project's CLAUDE.md:
cat skills/think-before-coding/SKILL.md >> CLAUDE.md
For Cursor — copy into .cursor/rules/:
cp skills/security-hardening/SKILL.md .cursor/rules/security-hardening.mdc
For Gemini CLI — add to your project's GEMINI.md:
cat skills/goal-driven-execution/SKILL.md >> GEMINI.md
One-liner (any skill, any agent):
# View raw skill content, then paste into your agent
curl https://raw.githubusercontent.com/DevelopersGlobal/ai-agent-skills/main/skills/production-deployment/SKILL.md
Browse and copy skills visually → developersglobal.github.io/ai-agent-skills
📚 All 30 Skills
🧠 Think — Before You Code
| Skill | Description |
|---|---|
| think-before-coding | Surface assumptions, manage confusion, prevent hallucination |
| goal-driven-execution | Transform tasks into verifiable goals with success criteria |
| idea-to-spec | Convert vague ideas into concrete, testable specifications |
📐 Plan — Break It Down
| Skill | Description |
|---|---|
| task-decomposition | Break features into atomic, independently verifiable tasks |
| context-loading | Load minimum necessary context; avoid token bloat |
| multi-agent-orchestration | Design and coordinate multi-agent pipelines |
🏗️ Build — Write Production Code
| Skill | Description |
|---|---|
| incremental-coding | Build in verifiable increments; never big-bang rewrites |
| simplicity-first | Minimum code that solves the problem — nothing speculative |
| surgical-changes | Touch only what you must; leave the rest untouched |
| api-design | Design stable, versioned, self-documenting APIs |
| frontend-engineering | Accessible, performant, responsive UI patterns |
| rag-and-memory | Retrieval-Augmented Generation and agent memory patterns |
✅ Test — Prove It Works
| Skill | Description |
|---|---|
| test-driven-development | Red-green-refactor with meaningful coverage |
| debugging-methodology | Systematic root cause analysis; never guess-and-check |
| integration-testing | Test real system boundaries, not mocks of mocks |
| ai-output-validation | Validate, parse, and sanitize AI-generated outputs |
🔍 Review — Quality Gates
| Skill | Description |
|---|---|
| code-review | Structured review checklist; correctness over style |
| performance-optimization | Measure first, optimize second; no premature optimization |
| refactoring | Safe, behavior-preserving transformation with tests |
| documentation | Document decisions, not just implementations |
🔒 Harden — Security & Reliability
| Skill | Description |
|---|---|
| security-hardening | OWASP Top 10, secrets management, least privilege |
| prompt-injection-defense | Guard AI agents against prompt injection attacks |
| hallucination-prevention | Detect and mitigate LLM hallucinations in pipelines |
| error-handling | Graceful degradation and meaningful error messages |
| observability | Structured logging, tracing, and alerting for AI systems |
🚀 Ship — Deploy with Confidence
| Skill | Description |
|---|---|
| production-deployment | Zero-downtime deploys with rollback plans |
| ci-cd-pipelines | Automated quality gates from commit to production |
| git-workflow | Trunk-based development, atomic commits, clean history |
🌟 Everyday — Productivity Skills
| Skill | Description |
|---|---|
| code-explanation | Get clear, layered explanations of unfamiliar code |
| meeting-notes-to-tasks | Convert meeting notes into structured action items |
| research-and-summarize | Distill complex topics into actionable summaries |
🏛️ Skill Anatomy
Every skill follows the same battle-tested structure:
┌─────────────────────────────────────────────────────┐
│ SKILL.md │
│
// HOW IT'S BUILT
KEY FILES