The first time I tried to package a workflow into a Claude Skill, I did exactly what most people do. I dumped every instruction, rule, and example into one giant file and hoped for magic. The output was forgettable. I sat there confused, thinking the model was the problem.
Then I came across this LinkedIn post from an AI professional who broke down why so many Claude Skills quietly fail, and I realised the problem was never Claude. The problem was structure. The expert behind this post nailed something most builders miss: a Skill is a workflow package, not a fancy prompt with a name slapped on it.
I was honestly a bit embarrassed reading it because every mistake the original poster called out was a mistake I’d made. So I’m walking you through the step-by-step framework this creator shared, with the rationale for why each step matters in practice.
Why Most Claude Skills Fail
The author opens with a brutal observation: people build Skills that look polished on the surface but barely get used by Claude properly. The reason isn’t model weakness. It’s that builders treat the SKILL.md file like a brain dump.
Context, rules, examples, edge cases, random advice, long explanations, all crammed into one place. Claude gets overwhelmed by the noise and can’t find the signal. The mind behind this post learned the hard way that more instructions does not equal better results. Tighter instructions do.
The Step-by-Step Framework
Here’s the process this savvy professional laid out, reorganised as clear steps you can apply today.
- Define one job per Skill. Pick a single workflow and stop there. Rationale: Skills with overlapping jobs confuse the trigger logic. Claude activates the wrong one or activates none at all. Narrow scope means reliable activation.
- Write one clear trigger. Decide the exact phrases or contexts that should fire the Skill. Rationale: Claude needs sharp signals. Vague triggers lead to inconsistent activation, and inconsistent activation kills trust in the Skill.
- Build one narrow workflow. Map the steps the Skill should execute, nothing more. Rationale: a focused workflow produces predictable output. Sprawling workflows produce sprawling output.
- Move heavy content into supporting files. Templates, examples, references, scripts, validation files, support docs. Rationale: the SKILL.md should stay lean so Claude can read the high-signal instructions fast. Pull the heavy stuff in only when needed.
- Add scripts for repeatable execution. Anything that runs the same way every time belongs in a script. Rationale: scripts remove ambiguity. Claude follows code more reliably than prose for deterministic tasks.
- Include real examples. Show input and output for each main case. Rationale: examples lock in consistency far better than abstract rules. Claude pattern-matches against examples instinctively.
- Write a sharp description. The description is where most builders lose the game. Rationale: this is the field Claude scans to decide whether to load your Skill at all. A weak description means your Skill never activates.
What a Strong Description Actually Tells Claude
The original poster shared the exact signals a description needs to send. I think this is the most underrated part of the whole framework.
- What the Skill does
- When to use it
- What user language should trigger it
- What context matters
- What output is expected
Miss any of these and Claude is guessing. Hit all five and activation becomes almost automatic.
The Anatomy of a Good Claude Skill
This contributor laid out a checklist that I’ve started using as my own QA pass before shipping any Skill. Run your build against this list.
- Clear name
- Clear description
- Clear use case
- Clear trigger phrases
- Clear output format
- Clear rules
- Clear examples
- Clear support files
- Clear execution boundaries
If any of these are fuzzy, fix them before you ship. Fuzzy means failure later.
The Lean SKILL.md Rule
The personal rule the author lives by now: keep SKILL.md lean. Push heavy information into templates, examples, references, scripts, validation files, and support docs. Then let the Skill pull them when needed.
Clean instructions win. Not every workflow belongs in the main chat, and not every detail belongs in the main file.
This was the line that flipped a switch for me. I’d been treating SKILL.md like a manifesto when it should have been a control panel.
The Final Formula
The post’s author closed with the recipe for what the best Claude Skills actually look like in production:
- Narrow scope
- Lean instructions
- Support files
- Safe execution
- Clear triggers
- Simple process
- Real examples
Read that list twice. Every one of those bullets is a deliberate constraint. Constraints are what make Skills reliable.
My Take
I was honestly impressed by how much this expert compressed into one post. The framework is opinionated, which I love. It tells you what to do and what to stop doing, and the reasoning is consistent: precision beats volume every single time.
If you’re building reusable workflows in Claude, this approach will save you hours of debugging mysterious activation failures. The Skills that survive are the precise ones.
Check out the full LinkedIn post from the original creator for the complete breakdown and the infographic that visualises the whole system.