Find agent skills by outcome

- Evaluate the structure and data of website databases

identifying trends or anomalies.

- Review user profiles

extracting relevant information based on the specified criteria.

Data

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

${metrics:engagement/views/likes}

Data

- Use visualizations where applicable (e.g.

tables or charts) to present data.

When to clear the snow (generic)

# Generic Driveway Snow Clearing Advisor Prompt

# Audience: Homeowners in snowy regions

especially those with challenging driveways (e.g.

Risks: What could break

what needs monitoring

- Give concrete facts

not abstract comparisons

- When multiple valid approaches: speculate

think aloud

- For each option: WHY it exists

HOW it works

- If hypotheses disproven

generate new ones from gathered information

How: Key implementation decisions (patterns used

structure chosen)

- Policies

rules

- Once action taken

it cannot be undone

- Share recommendation with reasoning

then ask user to decide

- On transient errors

retry (unless explicit limit reached)

Turkish Cats hanging out nearby of Galata Tower

Turkish Cats hanging out nearby of Galata Tower, vertical

Before any action

gather context and enhance the request internally:

Ultrathinker

# Ultrathinker

- Policy rules

mandatory prerequisites

2. Apply Deepthink Protocol (reason about dependencies

risks

If not

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

If you can track internally

do it internally.

- Identify gaps

ambiguities