Top 6 Claude Code skills that make you better at using it

By Quang Hieu · 2026-10-03

On Hacker News someone asked a plain question: what makes someone good at using Claude Code? A similar thread asked what the best AI coding tool is today, and an older one asked whether ChatGPT can generate fully functional code at all. The answers keep pointing at the same thing: the people who get good results do not type better wishes. They give the model a process. Plan first, find the cause of a bug before patching it, split big work into small pieces, and get a second pair of eyes before merging.

Skills are a way to hand that process to Claude Code once, instead of retyping it in every chat. Below are six free, open-source skills from our shelf that do exactly that. Each entry says what the skill does, who it is good for, and one honest catch taken from the skill's own files. None of this makes Claude Code perfect; it makes its habits closer to the habits of a careful engineer.

If you have never added a skill before, read how to install a skill first. It takes a couple of minutes.

1. brainstorming

brainstorming (MIT licence, from obra's superpowers collection) makes Claude stop and ask about intent, requirements and design before it writes any code. Instead of jumping straight into a feature, it asks you questions, proposes options, and writes down what you agreed.

Good for: anyone who has watched Claude build the wrong thing quickly. It helps most on new features where the request is still fuzzy.

Catch: its SKILL.md declares no allowed tools, so Claude Code will ask for permission each time it runs. In Cursor, Codex or Gemini CLI it is plain text you paste in.

2. systematic-debugging

systematic-debugging (MIT, superpowers) is for any bug, failing check or odd behaviour. It forces a root-cause search before any fix is proposed: reproduce, read the error, form a guess, check the guess, then change code.

Good for: people stuck in the loop of "try a fix, still broken, try another fix". It also helps beginners learn how debugging is supposed to go.

Catch: it is slower than a blind patch. On a one-line typo that can feel like overkill.

3. subagent-driven-development

subagent-driven-development (MIT, superpowers) takes a written plan with independent tasks and runs each one with a fresh subagent, then reviews the result before moving on. The main chat stays short and focused instead of filling up with every detail.

Good for: bigger jobs, like a refactor across many files or a feature with several separate parts, where one long chat would lose track.

Catch: it relies on subagents, so it fits Claude Code best; in other tools it is plain text you paste in. The skill itself warns that every extra subagent turn adds time and context cost.

4. requesting-code-review

requesting-code-review (MIT, superpowers) asks for a review when a task is done or before you merge, to check the work against what was asked. It hands the diff to a reviewer with the right context instead of a vague "looks good?".

Good for: solo developers who have no teammate to review their work, and anyone merging changes Claude wrote.

Catch: it fits best when the repo is under git, since the review works from the changes between commits.

5. tdd

tdd (MIT, by Parcha-ai) guides test-driven development: write a failing check, make it pass, then clean up. It is the classic red-green-refactor loop, written as instructions Claude follows step by step.

Good for: fixing bugs so they stay fixed, and building features where you want proof that the code does what you asked.

Catch: it is a small repo (62 stars on GitHub when we last checked), and it assumes your project already has a test setup to run.

6. code-review

code-review (MIT, from phuryn's pm-skills) reviews code for defects you can act on. Correctness is the core; performance and security are handled as special cases of the same check. It looks hard at the places where two parts of the system have to agree with each other.

Good for: a second opinion on a pull request, especially from the angle of "does this do what the product needs".

Catch: it comes from a product-manager skill pack, so it is a reviewer's eye, not a linter. Keep your linter and type checker.

How to pick

You do not need all six. A simple start:

If Claude often builds the wrong thing, add brainstorming.
If you lose hours on bugs, add systematic-debugging.
If your tasks are large, try subagent-driven-development and watch your token use.
Before merging anything, run requesting-code-review or code-review.

The four superpowers skills come from the same repo, so they are written to work together: brainstorm a plan, run it with subagents, debug what breaks, review before merge. Add one at a time and keep the ones that change how your sessions go.