9 Claude Skills Worth Testing

This guide helps you choose one useful Claude skill, understand what it changes, and customize it around work you already do. Start with one skill and one real task. You do not need a complicated AI stack.

What this helps you do

A skill is a reusable set of instructions Claude can apply when a matching task comes up. Think of it as a written playbook: instead of explaining your preferred process from scratch every time, you give Claude a repeatable method.

The four collections below are public GitHub repositories. They are examples, not guarantees or endorsements. Read the repository instructions before installing anything, and review what a skill asks Claude to do.

• Marketing Skills by Corey Haines: marketing-focused workflows.
• Social Media Skills by Charlie Hills: social-content workflows.
• UI/UX Pro Max Skill: interface and design guidance.
• Taste Skill by Leon Zhang: visual-quality guidance for digital work.

Claude now also has a built-in directory for browsing skills. Anthropic explains where to find it in its official skills, connectors, and plugins guide.

The five additional skills named in the Week 3 reel are:

• Grill Me: interviews you about a plan before implementation.
• Karpathy Guidelines: pushes the agent to avoid assumptions, make narrow changes, and define success.
• Systematic Debugging: forms and tests a cause before changing code.
• Webapp Testing: uses Playwright to exercise a local web app and capture evidence.
• Handoff: saves the state a fresh session needs to continue. Several projects use this name, so verify the repository before installing.

Before you start

You need a Claude account and one repeated task you can test safely. Choose a low-risk task such as outlining a post, reviewing a draft, or organizing research. Do not start with legal, financial, medical, hiring, or customer-facing decisions.

Collect three examples:

1. One result you consider good.
2. One result you consider weak.
3. A short note explaining the difference.

Remove private client data, passwords, API keys, and confidential business information before uploading examples.

Terms to know

• Skill: reusable instructions for a particular kind of work.
• Repository: a public project folder on GitHub containing files and instructions.
• Input: what you give Claude, such as a draft or brief.
• Output: what Claude returns, such as an outline or review.
• Acceptance criteria: the checklist an output must pass before you use it.

Step-by-step

1. Pick one task. Write down a task you repeat at least once a week. Keep it specific: “turn a webinar transcript into three post outlines” is better than “help with content.”
2. Choose the closest skill. Open the four repositories above and read each README. Pick the one whose examples resemble your task. If none fit, use the customization template below instead of forcing a bad match.
3. Inspect before installing. Check what files are included, when the repository was updated, who maintains it, and whether its instructions request tools or permissions. GitHub’s repository safety guidance is a useful baseline.
4. Install using the repository’s current instructions. Installation differs by Claude surface and can change. Follow the maintainer’s README, not an old social post. If you are using Claude’s built-in directory, open Customize → Skills → + → Browse skills and install from there.
5. Run a harmless test. Give the skill a sample input with no sensitive data. Compare its output with your good example.
6. Add your standards. Tell Claude what to preserve, what to avoid, and how you will judge the result. Save those instructions with the skill or in the relevant Claude Project.
7. Review every output. A skill improves consistency. It does not make the output automatically correct.

Copy this

Paste this into Claude with your three examples attached. Replace every item in brackets.

Help me create reusable instructions for this task: [ONE SPECIFIC REPEATED TASK].

The input will usually be: [DESCRIBE THE INPUT].
The finished output should be: [DESCRIBE THE OUTPUT].

Use the attached examples to infer my standards.

Always:
- [RULE 1]
- [RULE 2]
- [RULE 3]

Never:
- invent facts, sources, or results
- include private information from unrelated files or chats
- publish, send, spend money, or make a final decision without my approval
- [YOUR TASK-SPECIFIC RULE]

Before giving me the result, check it against this acceptance list:
1. [PASS/FAIL CHECK 1]
2. [PASS/FAIL CHECK 2]
3. [PASS/FAIL CHECK 3]

First, summarize the workflow you think I want. Then show me a draft version of the instructions. Do not perform the task yet.

Things to know

Public skills can change after you install them. Recheck the source before updating. A star count is not a security review. Give a new skill the smallest permissions it needs, test with non-sensitive material, and keep approval before any external action.

The most common mistake is collecting dozens of skills before proving one is useful. One tested workflow you trust is more valuable than a large library you never inspect.

If something goes wrong

• The skill does not trigger: name it directly or use Claude’s skill picker, then confirm it is enabled.
• The output feels generic: add real examples and measurable acceptance criteria.
• The output ignores a rule: move the rule into a short “Always” or “Never” list and test it alone.
• The repository instructions conflict with your needs: do not install it. Create a small project-specific skill instead.
• A skill asks for broad access: stop and reduce the permission scope before continuing.

Final check

You are done when one real test produces an output that passes your three acceptance checks, you know exactly what information the skill can access, and no sending, publishing, purchasing, or irreversible action can happen without your review.