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mlopscommunity / Coding-Agents-Conference-skills

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list of skills that folks talked about on the stage at the coding agent conference March 3rd

18
5
100% credibility
Found Mar 13, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A curated set of practical skills and techniques for enhancing AI-assisted coding, derived from talks at the Coding Agents conference organized by the MLOps Community.

How It Works

1
👀 Discover Conference Skills

You stumble upon a collection of real-world tips from experts at an AI coding conference, shared by a trusted community.

2
📚 Explore the Skills

You browse through practical techniques like smart planning, code reviews, and memory tricks taught by top speakers.

3
❤️ Choose Your Favorites

You pick the skills that fit your daily coding challenges, like better planning or team reviews.

4
📂 Add to Your AI Buddy

You simply copy the chosen guides into your AI coding assistant's personal folder to make them ready to use.

5
🛠️ Use a Skill in Action

While working on a project, you call up a skill and watch your AI apply expert techniques right away.

🎉 Code Smarter and Faster

Your projects improve with structured planning, reliable reviews, and efficient workflows, helping you build and ship better software effortlessly.

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AI-Generated Review

What is Coding-Agents-Conference-skills?

This repo delivers a curated list of 16 production-ready skills and abilities for coding agents like Claude Code, pulled straight from talks at the Coding Agents Conference on March 3rd. Developers get installable Markdown snippets to copy into their Claude skills directory, plus guides and workflows for real-world MLOps tasks like context management, adversarial reviews, and parallel agent runs. It solves the gap between agent hype and daily production use by packaging practitioner techniques into quick-start resources.

Why is it gaining traction?

Unlike generic prompt libraries, this stands out with battle-tested patterns from speakers at Anthropic, LangChain, and Databricks—think multi-agent reviews that cut noise or CRISPI planning for complex pipelines. The hook is dead-simple installation via bash copy commands and slash invocation in Claude (/adversarial-code-review), plus a living base updated from ongoing lunch-and-learns. Devs grab it to list skills on resume for agent-heavy jobs without reinventing wheels.

Who should use this?

MLOps engineers deploying Claude Code or LangChain agents in prod, especially those handling merge conflicts at scale or scaling teams with parallel runners. Solo devs building agent workflows for validation pipelines, or team leads listing GitHub repositories, branches, commits, forks, tags, releases, and runners in multi-agent setups. Skip if you're not yet using coding agents daily.

Verdict

Grab it if you're in the agent game—strong docs and conference cred make the low 1.0% credibility score (18 stars) forgivable for an early community project. Maturity is nascent with no tests, but the practitioner focus delivers immediate value over fluffier alternatives.

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