addxai

addxai / enterprise-harness-engineering

Public

Enterprise-grade AI Agent Skills for software development, DevOps, SRE, security, and product teams. Compatible with Claude Code, Cursor, Windsurf, Gemini CLI, GitHub Copilot, and 30+ AI coding agents.

agent-skills ai-agent ai-engineering claude-code code-review
11
5
100% credibility
Found Apr 20, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A curated set of guides and helper scripts that empower AI coding assistants to perform enterprise-level tasks in software development, operations, site reliability, security scanning, and market analysis.

How It Works

1
🔍 Discover helpful AI skills

You hear about a collection of expert guides that make your AI coding helper smarter for big company tasks like fixing alerts or checking secrets.

2
📥 Get the skills pack

You grab the bundle of guides and ready-made helpers designed for tools like your AI code writer.

3
🛠️ Add guides to your AI buddy

You simply drop these guides into your AI coding assistant's learning spot, and it instantly knows new tricks for development, operations, and security.

4
💬 Chat with your AI in everyday words

You tell your AI something like 'Handle this system alert' or 'Scan for hidden passwords,' and it picks the right guide to follow.

5
⚡ AI takes action like a pro

Your AI checks systems, sends team notifications, scans code safely, and even suggests fixes—all automatically and securely.

✅ Work smarter, not harder

Now your AI handles expert enterprise jobs on its own, saving hours and boosting your team's speed like magic.

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Star Growth

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AI-Generated Review

What is enterprise-harness-engineering?

This Python repo delivers enterprise grade AI agent skills for software dev, DevOps, SRE, security, and product teams, turning coding agents like Claude Code, Cursor, GitHub Copilot, Gemini CLI, and 30+ others into specialized roles via simple Markdown workflows. It solves the enterprise AI gap where tools lack APIs and humans bottleneck loops, providing ready-to-install skills for tasks like PagerDuty triage, Feishu notifications, secret scanning with TruffleHog CLI, and Grafana queries. Drop them into your agent's skills folder, describe tasks in natural language, and get closed-loop automation without custom bots.

Why is it gaining traction?

Unlike rigid LangChain agents or hardcoded bots, it uses one universal coding agent with swappable skills for enterprise grade agentic AI—same Copilot instance handles SRE alerts or VOC analysis by loading different Markdown packs. Developers hook it instantly via git clone and copy to .cursor/skills or .agents/skills paths, with domain experts maintaining skills as code under Git review. The cross-tool compatibility (30+ agents) and focus on API-first ops like Kubernetes troubleshooting stand out for teams scaling agentic AI without dev overhead.

Who should use this?

SREs oncall for PagerDuty polling and Grafana triage, security engineers enforcing GitHub enterprise grade security via TruffleHog pre-commit hooks, DevOps teams automating GitLab MRs and Terraform audits, or product managers running VOC analysis. Ideal for enterprises building enterprise grade ai agents where Cursor/Claude users want end-to-end workflows beyond code gen, like alert-to-fix loops.

Verdict

Promising framework for enterprise grade agentic architecture, but at 11 stars and 1.0% credibility score, it's early-stage—solid bilingual README and Apache license help, though expect to contribute skills yourself. Try for SRE/security pilots if your stack matches; skip for production without more adoption.

(198 words)

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