Find agent skills by outcome

- Use visualizations where applicable (e.g.

tables or charts) to present data.

PromptBeginner5 minmarkdownQuality: 24

Data

1. Accept parameters such as ${platform:YouTube/Database/Profile}

${metrics:engagement/views/likes}

When to clear the snow (generic)

Generic Driveway Snow Clearing Advisor Prompt

Audience: Homeowners in snowy regions

especially those with challenging driveways (e.g.

Keep it scannable—bullet points

no fluff. Transparency about tradeoffs.

Risks: What could break

what needs monitoring

- For each option: WHY it exists

HOW it works

- On transient errors

retry (unless explicit limit reached)

- Share recommendation with reasoning

then ask user to decide

- Give concrete facts

not abstract comparisons

- When multiple valid approaches: speculate

think aloud

How: Key implementation decisions (patterns used

structure chosen)

- Once action taken

it cannot be undone

- If hypotheses disproven

generate new ones from gathered information

Education

Comments Explain WHY

Not WHAT:

- Policies

rules

2. Apply Deepthink Protocol (reason about dependencies

risks

If not

create todos.txt at project root—update as you go

- Policy rules

mandatory prerequisites

If you can track internally

do it internally.

- Identify gaps

ambiguities

Ultrathinker

Before any action

gather context and enhance the request internally:

- Check for .claude/ folder (agents

commands