Tired of using Claude Code Skills the same way as everyone else? Most people overcomplicate it by installing hundreds of skills, but the top 1% know that less is more. In this video, you'll learn the simple but powerful framework they use to build a small, curated set of skills that delivers professional-grade results every time.

Skill builder Skill shown - https://github.com/glittercowboy/tach...

Six step skill building framework (full module in my Skool community):
Name it – A short kebab-case label that describes exactly what the skill does
Trigger – The description Claude reads to decide whether to load your skill; get this wrong and it won't activate
Outcome – Define what "done" looks like before writing a single instruction
Dependencies – Every tool, connector, reference file, or asset the skill needs to deliver that outcome
Step-by-step – The exact instructions Claude follows, in order, with clear human-in-the-loop moments
Edge cases – What happens when input is vague, missing, or unexpected; robust skills handle failure gracefully

#claudecodetutorial #claudeskills #claudecodeskills

create a detailed outline of this video. What are the steps for using a skill in Claude?

Here’s a detailed outline of the video, then a concise checklist of how to use a skill in Claude Code.

Video outline – “How to Use Claude Code Skills Like the 1%”

1. Introduction: Why most people misuse skills [0–1:10]

• Observes that many users install hundreds or thousands of marketplace skills, assuming “more is better.”

• Explains the downside: agents become slower, less predictable, harder to scale, and harder to debug.

• States goal: show what skills actually are, why they matter, and a simple framework to build a small, curated set that produces professional‑grade outputs.

2. What a skill actually is (beyond “just a prompt”) [~1:10–3:40]

• Clarifies that a skill is not just a good system prompt; it is a folder containing process instructions plus supporting knowledge.

• Defines a skill as:

  • A skill.md file containing step‑by‑step instructions (the process/SOP).

  • Optional supporting files:

    • references/ – examples, knowledge bases, assets describing what good output looks like.

    • scripts/ – executable scripts Claude can run.

• Mental model: skill.md is a standard operating procedure for an AI agent, telling Claude what to do, in what order, what good looks like, and what to avoid, while pointing to references/scripts when needed.

3. Progressive disclosure and YAML front matter [~3:40–6:00]

• Explains “progressive disclosure”: Claude only loads the minimal information at the right time.

• Only the YAML front matter (name, description, optional metadata) is loaded initially for each skill.

• Example: “Marketing Ideas” skill by Corey Haines.

  • YAML front matter includes:

    • name: marketing-ideas (skill name).

    • description: when to use it (user wants marketing ideas, strategies, ways to grow a SaaS product), and what it provides (139 proven approaches organized by category).

• Shows installing this skill locally with an npx skills add command targeting the specific skill path.

• Emphasizes: Claude only reads the description to decide whether to activate this skill; full skill.md body is only loaded once selected.

4. skill.md body and reference files (process vs knowledge) [~6:00–9:30]

• Describes the skill.md body as the process: step‑by‑step instructions Claude follows once the skill is chosen.

• Example inside Marketing Ideas skill:

  • “Check for product marketing context first” by reading a shared context file with details about product, audience, stage.

  • Then: suggest 3–5 relevant ideas, provide implementation details, and factor in resources, budget, and team size.

• Shows the “point, don’t dump” pattern inside skills:

  • The huge marketing ideas knowledge base (139 approaches) lives in a separate reference file.

  • skill.md only contains process, task‑specific questions, output format, and pointers to reference files, not the whole knowledge base.

• Demonstrates selective loading of references:

  • SEO content writer skill uses title-formulas.md when ideating titles.

  • Uses a different reference file for content structure templates when structuring articles.

• Scripts example: Nano Banana Pro image skill.

  • skill.md describes when to generate or edit images and which script to run.

  • Script (e.g., generate-image.py) is the executable that takes arguments from Claude; the script itself is not loaded into context.

• Key point: skills scale because only a small summary plus process are loaded; reference files and scripts are pulled in only when needed.

5. Skills as a new “software layer” [~9:30–13:10]

• Argues that skills are becoming a new layer of software, not just a Claude Code feature.

• Notes Anthropic’s 2026 launch of Co‑work and plugins (bundles of skills, agents, hooks, and commands) and the market reaction.

• Explains that well‑built skills with the right references and scripts can replicate capabilities of standalone SaaS tools, but fully customized to your business.

• Examples:

  • Lead‑generation skill partially replacing outreach tools.

  • Content‑creation skill replacing a copywriting SaaS.

  • SEO skill replacing parts of tools like Ahrefs or Surfer.

• Describes emerging skill marketplaces:

  • skillsmpp indexing ~280k skills from GitHub.

  • Skillhub with thousands of AI‑evaluated skills.

  • Vendor skills from companies like Stripe, Cloudflare, Vercel, etc. (e.g., Stripe best‑practices skill using Stripe docs and webhooks/API references).

• Thesis: those who can build and customize skills gain a major edge—especially agencies that productize skills and deploy them for multiple clients.

6. Where skills come from: official, marketplaces, your own [~13:10–16:00]

1. Anthropic’s official skills

   • Provided as examples of well‑architected skills (e.g., PDF skill for reading, splitting, merging, rotating PDFs).

   • Installed via npx skills add anthropic/skills-pdf (or similar) and can be installed globally for use across projects.

2. Community marketplaces

   • skillsmpp.com and skillhub as main examples, searchable by category, role, and use case.

   • Warning:

     • Installing hundreds or thousands of skills is harmful.

     • Claude must scan name + description for each skill to decide which to load; more skills mean more noise and context use.

     • Anthropic docs mention a ~15,000‑character limit for the skills list; overloaded installations waste context and cause overlapping skills to “fight” for activation.

   • Cites a test where poorly described skills had ~20% activation rate; even with optimized descriptions and hooks, activation topped out around ~84% for a small, well‑built set.

   • With many generic SEO skills, for example, Claude may pick a different one each time, causing inconsistent results.

   • Takeaway: 20–30 high‑quality, specific skills built for your workflows outperform 500+ generic skills.

3. Building your own skills

   • Most valuable source because only you know your business, brand voice, and processes.

   • Secret is not having the most skills but having the right skills, structured properly and backed by your knowledge base.

7. Using a skill to build skills (create‑agent‑skill) [~16:00–15:30 in transcript order – near the end]

• Introduces Tash’s “create‑agent‑skill” from the GSD framework creator as a skill that builds skills following Anthropic’s conventions.

• Shows install command:

  • npx skills add glittercowboy/create-agent-skill -d-local for a local install (omit -d-local if you want it globally).

• Explains why following the standard architecture matters for debugging:

  • If behavior is wrong, fix the process in skill.md.

  • If knowledge is wrong or missing, update/add reference files.

• Summary guidance:

  • Start simple: put the process in skill.md.

  • Treat front matter as the summary Claude reads first.

  • Put your expertise, brand voice, and examples into reference files.

  • Iterate each time you use the skill and add scripts only when you actually need executable power.

8. Closing and key takeaway [~15:30–end]

• Restates that skills are organized expertise that plug into Claude Code and increasingly replace chunks of traditional SaaS workflows.

• Core takeaway: do not load thousands of generic skills; instead curate a small set of well‑crafted, business‑specific skills and bring external skills into that structure.

• Invites viewers to his Agentic community course on Claude Code and points to further videos on building production‑ready systems.

Practical steps: how to use a skill in Claude Code

Below is a concise, general process you can follow when you want to use a skill (whether official, marketplace, or custom), adapted from the video.

1. Install the skill

   • Use npx skills add <repo-path>/<skill-name> (or the command provided by the skill’s README) to install it into your Claude skills folder.

   • Decide whether to install locally (for one project) or globally (available everywhere), often using a flag like -d-local for local installs.

2. Understand the skill’s YAML front matter (name + description)

   • Open skill.md and read the YAML front matter at the top: this defines the name and description.

   • The description is the trigger text Claude reads to decide when to load the skill; ensure it clearly describes when to use it and what it does.

3. Review the skill.md body (process)

   • Read the main body of skill.md to understand the step‑by‑step instructions Claude will follow.

   • Note references it expects (e.g., product‑marketing context file, knowledge bases) and any expected tools or scripts.

4. Provide any required reference files or context

   • If the skill relies on files like context docs, example libraries, or knowledge bases, create or customize those in the locations it expects.

   • Keep heavy knowledge in references/ (or similar) and out of skill.md, then link to it from skill.md (point, don’t dump).

5. Make sure Claude can recognize when to use the skill

   • In your prompts (and optionally in claude.md), phrase tasks in a way that matches the skill’s description so Claude’s trigger logic fires.

   • If needed, tighten the description in YAML so it reflects the actual kinds of requests you’ll make.

6. Invoke the skill in a session

   • Open Claude Code in the project where the skill is installed.

   • Describe what you want using language that matches the skill description (e.g., “I need marketing ideas for my SaaS product” for the Marketing Ideas skill).

   • Claude will scan skill names/descriptions and, if the trigger matches, load the skill’s process and any referenced files into context.

7. Inspect outputs and iterate the skill

   • If outputs are structurally wrong, adjust the process section of skill.md.

   • If outputs are conceptually or factually weak, update or extend the reference files.

   • Re‑run tasks after each change to refine the skill until it consistently behaves the way you want.

If you tell me the specific workflow you want to turn into a skill (for example, “convert YouTube rigging videos into Obsidian notes” or “generate Maya rig breakdown scripts”), I can draft a concrete skill.md and reference structure for that use case.