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Skills Alternatives
Similar projects and alternatives to skills
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zed
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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rtk
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
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awesome-copilot
Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.
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Fabric
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
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open-infra-index
Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation
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compound-engineering-plugin
Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
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qrspi-plus
A structured agentic development pipeline for Claude Code — extends QRSPI with worktree parallelization, tiered reviews, integration verification, acceptance testing, and replanning
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better skills alternative or higher similarity.
skills discussion
skills reviews and mentions
Posts with mentions or reviews of skills.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2026-06-09.
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AI agentic workflows on large codebases
The workflow I use is largely based on Matt Pocock's skills with a few tweaks. There is a lot of great stuff in there, but the absolute minimum I use is four commands, run in order.
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Turning Kiro Into a Leadership Coach With Meeting Transcripts
grill-me - forces the AI to challenge rather than agree
- Skills for Real Engineers. Straight from my .claude directory
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I'm tired of LLM skill slop, so I built mine with regression tests
Claude skills made by other people are typically useless. The exceptions I have found are https://github.com/EveryInc/compound-engineering-plugin which was like an early brainstorm -> plan -> write -> embed knowledge and best practices. Which is a common workflow now.
I've recently experimented with more lightweight things like https://github.com/mattpocock/skills which are good.
Most work is just the same 'ask questions step by step to define a spec' , 'make a plan', 'implement using TDD'
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Alibaba/Open-Code-Review
Thermonuclear suggested by someone below is good. Matt Poccock did a live demo/breakdown of that: https://www.youtube.com/watch?v=mh5XZ-L5SFQ. He has his own "improve-codebase-architecture" skill: https://github.com/mattpocock/skills/blob/main/skills/engine...
Some of them are about general coding guidelines and code quality, not necessarily vetting your current PR against specs! There's AbsolutelySkilled with clean-code and clean-architecture. Linking to older version of repo because they seem to be no longer on trunk: https://github.com/AbsolutelySkilled/AbsolutelySkilled/tree/...
I've been creating some rules to help with my Java coding:
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Meet Deliberation: 400+ models is easy, knowing which ones earn a place is hard.
And none of this is a separate ritual you have to schedule. Call /ask-all or /consensus at any point in the work - while you are still scoping a feature, halfway through writing a plan, or in the middle of a /grill-me session when you want a real outside voice in the room instead of arguing with only yourself. The panel is available the whole time, not just at the review at the end. The earlier you pull in a dissenting model, the cheaper the disagreement is to act on.
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Tools I'm Using in 2026 (and what I've stopped using from 2025)
Skills For Real Engineers
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Using AI to write better code more slowly
> This article doesn't address writing code with AI, just code review. My issue with agentic coding is that I make numerous micro-architectural decisions while programming. I almost never have a full spec up front and develop one as I consider what I am writing.
working with AI forced me to write better specs but the way I write today is very different. I typically open Codex and have Linear MCP connected where my chat with the AI will end up writing the issue. Its a lot of back-end-forth where I tell what I want, the AI does all the code scanning, write something, I correct something, etc
The value for me is exactly that I tell what I want, the AI verify in the actual code if that's the path that makes more sense or not. In the end I have a pretty detailed spec that I'm much more confident is the correct path.
I find the spec easier to review than a huge PR so typically when executing is much faster and aligned with what I want.
The grill-me skill from Matt Pocock is great for this (https://github.com/mattpocock/skills/blob/main/skills/produc...)
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4 GitHub Repos That Prove AI Agents Aren't Just for Coding Anymore
Repo: github.com/mattpocock/skills
- More Than Skills, Frameworks
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A note from our sponsor - SaaSHub
www.saashub.com | 9 Jun 2026
Stats
Basic skills repo stats
19
118,308
6.3
6 days ago
mattpocock/skills is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of skills is Shell.
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