Walid Boulanouar’s 10 Claude Code Skills That Matter

Walid Boulanouar recently shared something that caught my attention:

"this 10 skills is all you need in claude code

i spent 6 months building with it daily
these are the ones i keep coming back to."

That idea of "10 skills, installed once" is the real takeaway. Walid is not talking about random prompts or one-off shortcuts. He is describing a compact toolkit that Claude Code can load when needed, so you stop re-explaining your setup and start shipping.

In this post, I want to expand on Walid’s list and explain why this "skills layer" matters, what each skill enables, and how to adopt the same approach for your own workflow.

The big idea: install skills once, compound benefits forever

Walid framed these as skills that are "installed once" and then available on demand. That is more than convenience. It is a strategy for:

• Reducing context waste: fewer repeated explanations, fewer copied snippets.
• Standardizing output: the same quality bar, every time.
• Scaling yourself: turning your best practices into reusable building blocks.

Think of skills as a personal internal platform. Once you have reliable primitives for diagrams, browser control, SEO audits, UI rules, and TDD agent workflows, your daily work becomes composition: you combine skills instead of reinventing them.

The 10 skills, expanded

Below is Walid’s lineup, with added context on where each one shines and what to watch out for.

1) skill-creator: the backbone that builds the rest

Walid called this "the backbone of everything" and that is accurate. A skill-creator is the meta-skill: a repeatable way to package instructions, tools, triggers, and steps.

What it changes

Instead of keeping your best workflows in your head, you capture them in a markdown skill file. In practice, this is how teams build consistent internal assistants.

Example uses

• A "PR reviewer" skill with a checklist and style guide.
• A "migration planner" skill that outputs a sequence of safe steps.
• A "client deliverable" skill that enforces structure and tone.

2) mcp-client: connect tools without burning context

Walid described this as connecting Claude to any MCP server "without burning your context window" by loading tool schemas on demand.

Why this matters

Tool schemas can be verbose. If you dump them into every conversation, you reduce room for actual work. An on-demand MCP client keeps the session lean and pulls only what it needs.

Practical takeaway

If you use multiple tool backends (internal services, data stores, automations), invest in a clean interface: list servers, list tools, call tool. The simpler the interface, the easier it is to trust.

3) artifacts-builder: real interactive dashboards, fast

Walid pointed out you can build interactive HTML dashboards "in one session" with real routing, not single-file demos.

Where it shines

• Internal admin panels and quick demos.
• Data exploration dashboards.
• Stakeholder previews that feel like a product, not a mock.

Key constraint

Make sure you have a clear boundary between "prototype UI" and production code. This skill is best used to accelerate iteration and alignment, then you harden later.

4) excalidraw-diagram: architectures from plain English

Walid said: "describe a workflow. get a diagram. outputs excalidraw + png." That is exactly the kind of leverage most teams underestimate.

Why diagrams are a superpower

Architecture is often misunderstood because it is trapped in text. A diagram makes assumptions visible:

• What talks to what
• Where data is stored
• Which steps are synchronous vs async
• Where failures propagate

If you do any client work, shipping an editable Excalidraw file also signals professionalism: the client can evolve it after handoff.

5) remotion: programmatic video with React

Walid’s line here was blunt: "now you can be an editor." Remotion brings video into the same world as UI components: version control, reusability, automation.

Ideal scenarios

• Product launch clips generated from templates.
• Personalized videos at scale (names, metrics, CTAs).
• Tutorials with consistent captions and branding.

The mental shift

Stop thinking "timeline." Start thinking "components" (scenes, overlays, transitions) and "data" (props). That is where the compounding wins come from.

6) ui-ux-pro-max: design rules that prevent generic UI

Walid listed "161 design rules" and "67 UI styles" with "zero generic output." The point is not the exact numbers. The point is constraints.

Why constraints matter with AI

When an AI model is unconstrained, it drifts toward generic patterns. A UI ruleset does the opposite: it narrows the solution space so outputs are consistent, accessible, and on-brand.

What to include in a UI rule skill

• Spacing scale and typography hierarchy
• Accessibility rules (contrast, focus states)
• Component patterns (forms, tables, empty states)
• Industry-specific conventions (fintech vs healthcare)

7) notebooklm: query your docs with "zero hallucinations"

Walid positioned NotebookLM as a way to give Claude Code "infinite memory" by grounding responses in your documents.

The practical value

Most engineering mistakes happen when context is missing: outdated specs, hidden decisions, forgotten constraints. A doc-query skill reduces that.

How to use it well

• Treat it as a source-of-truth retriever, not an answer generator.
• Ask for citations or references to the exact doc sections.
• Use it early: before coding, before estimating, before committing to an approach.

8) claude-seo: audits, sub-skills, and traffic impact

Walid claimed this skill helped generate "almost 700k total traffic" across their products and clients, with technical SEO, Core Web Vitals, and AI search optimization in one command.

Why developers should care

SEO is not only keywords. It is crawlability, performance, structured data, internal linking, indexation control, and content architecture. If your product ships pages, you are in the SEO business.

What a strong SEO skill should output

• Technical audit checklist with prioritized fixes
• Performance recommendations tied to CWV metrics
• Structured data opportunities
• Content gaps and query intent mapping
• AI search readiness (clear entities, helpful summaries)

9) agent-browser: control any browser, no API needed

Walid described full browser control: click, fill, scroll, intercept network requests, parallel sessions.

Where it becomes indispensable

• Testing flows in third-party tools that lack APIs.
• Automating repetitive back-office tasks.
• Verifying UI behavior across environments.

Important caution

Browser automation can be brittle. The best pattern is:

• Prefer stable selectors and deterministic steps.
• Add retries and timeouts.
• Log screenshots and network traces for debugging.

10) superpowers: brainstorm to spec to TDD execution

Walid’s summary here is the blueprint for reliable agentic coding: "brainstorm to spec to subagent execution to merge" and "enforces TDD: no code before a failing test exists."

Why this is the real capstone

Most failures in AI-assisted coding come from skipping structure. A “superpowers” workflow forces:

1. A clear spec
2. Tests that define success
3. Scoped execution by subagents
4. A merge step that reconciles changes

That is how you get speed without chaos.

A simple way to adopt Walid’s approach

If you want to implement this idea without overengineering, do it in three passes.

Pass 1: pick your daily pain

Choose one repeated task you do weekly (diagramming, audits, UI reviews, test scaffolding). Write one skill for it.

Pass 2: add guardrails

For each skill, define:

• Trigger: when to use it
• Inputs: what it needs from you
• Steps: the ordered process
• Output format: what it should produce every time

Pass 3: compose skills into workflows

The real value comes when skills call other skills. For example:

• "superpowers" uses "skill-creator" patterns, then calls "agent-browser" for verification.
• "claude-seo" calls performance checks, then creates tickets.
• "excalidraw-diagram" plugs into client deliverables.

Closing thought

Walid Boulanouar’s post is a reminder that the best AI productivity gains rarely come from one magical prompt. They come from a small set of reusable, well-designed skills that encode your standards and load exactly when needed.

If you build even 3 of these well, you will feel the difference. If you build all 10, you are essentially building your own mini operating system for Claude Code.

This blog post expands on a viral LinkedIn post by Walid Boulanouar, 30 days of claude code → follow along. View the original LinkedIn post →