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Examples

These examples show what skills look like at different grade levels. Each includes the original input and the resulting skill (abbreviated for readability).

Input:

I'm a sales engineer who runs technical demos and POCs for
enterprise SaaS deals. My approach: I never demo features, I demo
outcomes. Before any call I research the prospect's tech stack,
identify their likely pain points, and build a custom demo
environment that mirrors their setup. During the call I ask
discovery questions first, then show only the 3-4 features that
solve THEIR problems. I always leave time for hands-on exploration.
Post-demo I send a personalized follow-up with a Loom walkthrough
of their specific use case.

Generated skill (abbreviated):

---
name: running-technical-demos
description: Runs outcome-focused technical demos and POCs for enterprise SaaS deals. Use when preparing for a demo, building a custom demo environment, or following up after a technical presentation.
---
## Quick Start
Given a prospect meeting, prepare and deliver an outcome-focused demo:
1. Research prospect's tech stack and likely pain points
2. Build a custom demo environment mirroring their setup
3. Open with discovery questions (5-10 min)
4. Demo only 3-4 features solving their specific problems
5. Leave 15 min for hands-on exploration
6. Send Loom walkthrough within 24 hours
## Workflow
[Detailed 3-phase process: Discovery, Presentation, Follow-up]
## Examples
[2 concrete examples with specific prospect scenarios,
demo configurations, and follow-up content]
## Best Practices
[5 specific practices with rationale]
## Common Pitfalls
[4 concrete mistakes to avoid]

Why it scored well: Specific process, named tools (Loom), clear methodology (“demo outcomes not features”), concrete workflow phases, and enough detail for strong examples.


Input:

Program manager focused on product launches. I coordinate
engineering, design, marketing, and legal. I'm good at identifying
dependencies early and keeping stakeholders aligned without
endless meetings.

Generated skill (abbreviated):

---
name: managing-product-launches
description: Coordinates cross-functional product launches across engineering, design, marketing, and legal teams. Use when planning launches, managing dependencies, or aligning stakeholders.
---
## Quick Start
For a product launch, create:
1. RACI matrix for all stakeholders
2. Dependency map across teams
3. Launch checklist with owners and dates
## Workflow
[General process but lacks specific tools or frameworks]
## Examples
[Examples present but somewhat abstract, missing specific
inputs/outputs]
## Best Practices
[Reasonable advice but generic]

Why it scored B: Has a clear process and structure, but the input lacked named frameworks and specific tools. The generated examples ended up being more abstract than concrete because there wasn’t enough detail to model specific scenarios.


Input:

data analyst. sql, python, looker. i answer business questions
and build dashboards. hate vanity metrics.

Generated skill (abbreviated):

---
name: analyzing-business-data
description: Analyzes business data using SQL, Python, and Looker to answer questions and build dashboards. Use when exploring data, building reports, or investigating metrics.
---
## Quick Start
Given a business question:
1. Clarify the actual question behind the request
2. Identify relevant data sources
3. Explore data quality
4. Build analysis
5. Present findings
## Workflow
[Very general workflow without specific techniques]
## Examples
[Vague examples without concrete SQL queries or
specific business scenarios]

Why it scored C: The input listed tools but no methodology. “I answer business questions” doesn’t describe how. Without knowing the analyst’s specific process, the generated skill fell back to generic data analysis advice.


Input:

i do stuff with computers

Generated skill:

---
name: working-with-computers
description: General computer operations and tasks. Use when working with computers or technology.
---
## Quick Start
Determine the type of computer task needed and apply
the appropriate approach.

Why it scored F: The input provides no methodology, no tools, no process. The generated skill is essentially a placeholder with no actionable content. The description is vague and the quick start is generic to the point of being useless.


GradeInput QualitySkill Result
ASpecific process, named tools, real examples, decision criteriaProduction-ready, actionable throughout
BClear role with some process, but missing tools or examplesGood structure, gaps in specificity
CLists capabilities without explaining howGeneric advice dressed up in skill format
FNo methodology whatsoeverPlaceholder, not usable

The single biggest factor in your grade is the specificity of your input. Name your tools, describe your steps, walk through a real example.