AI tool comparison
Skills (mattpocock) vs nanocode
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
Skills (mattpocock)
Real-world agent skills for engineers — install via npm, not vibes
75%
Panel ship
—
Community
Free
Entry
Skills is a curated library of AI agent prompts and workflows for real software engineering, created by TypeScript educator Matt Pocock. The project trended to 28,000 GitHub stars with its blunt tagline: "Agent skills for real engineers — not vibe coding." It's a deliberate pushback against chaos-first AI coding in favor of structured, methodical engineering. The library organizes into four categories: Planning & Design (to-prd for converting conversations into PRDs, grill-me for stress-testing plans), Development (tdd for test-driven AI assistance, triage-issue for bug investigation), Tooling & Setup (pre-commit hooks, git safety guards), and Writing & Knowledge (documentation utilities, Obsidian integration). Each skill installs with a single npx command — npx skills@latest add mattpocock/skills/tdd — and plugs into Claude agent setups. With 28,000 stars and 2,200 forks after trending on GitHub on April 27, 2026, Skills has clearly struck a nerve. It's as much a cultural statement as a product: AI coding tools should be used deliberately, with tests, with planning, and with guardrails. The TDD and triage-issue skills address real gaps in how current AI coding agents handle existing codebases rather than greenfield projects.
Developer Tools
nanocode
Train Claude Code-style models on TPUs for under $200
75%
Panel ship
—
Community
Paid
Entry
nanocode is a pure-JAX library for training code models end-to-end using Constitutional AI techniques, directly inspired by Anthropic's work on Claude Code. The flagship nanocode-d24 model has 1.3 billion parameters and can be fully reproduced in roughly 9 hours on a TPU v6e-8 for approximately $200 in compute costs — a fraction of what frontier labs spend. The library covers the full training pipeline: pretraining on code corpora, supervised fine-tuning for instruction following, and Constitutional AI alignment to keep the model helpful and safe. It supports both TPU and GPU backends via JAX, making it portable across cloud providers. What makes nanocode significant is democratization: indie researchers and small teams can now replicate the core methodology behind production code assistants without millions in compute. The codebase is clean, well-documented, and explicitly designed to be educational — every design decision maps back to a published paper.
Reviewer scorecard
“The tdd skill alone is worth the install. Watching a Claude agent plan tests before writing implementation is exactly how I want AI to assist me. Matt's framing of 'real engineering vs. vibe coding' is the right cultural correction for 2026.”
“This is the kind of project that makes AI research actually reproducible. JAX's JIT compilation gives you near-metal performance on TPUs without writing CUDA, and $200 to replicate a production-grade code model pipeline is genuinely wild. Every indie AI lab should be studying this codebase.”
“These are sophisticated markdown prompts, not magic. If you're already a disciplined engineer, the skills add ceremony without much acceleration. The 28K stars partly reflect Matt's Twitter following — evaluate the actual skills before star-chasing.”
“1.3B parameters puts you firmly in the 'neat demo' category for code generation in 2026. Production code assistants are running 70B+ with years of RLHF data you can't replicate for $200. This is a great learning resource but not a viable product path.”
“Community-curated skill libraries installed via package managers will become standard infrastructure — as natural as installing a linting config. Skills is the early prototype of a skills ecosystem that will matter at scale.”
“The real value isn't the model — it's the Constitutional AI pipeline as open infrastructure. When every domain expert can fine-tune their own aligned code model for under $500, the era of one-size-fits-all code assistants ends. Nanocode is a template for that future.”
“The writing and knowledge skills are underrated. The article-editing and Obsidian integration skills bring structured AI assistance to documentation workflows that most agent tools ignore entirely. Install even if you're not primarily a developer.”
“As someone building tools for creative coders, having a customizable, locally trainable code model I can fine-tune on my domain is invaluable. The documentation is excellent — this is research made genuinely accessible to practitioners.”
Weekly AI Tool Verdicts
Get the next comparison in your inbox
New AI tools ship daily. We compare them before you waste an afternoon.