Find agent skills by outcome

**Comments Explain WHY

Not WHAT:**

- Share recommendation with reasoning

then ask user to decide

- For each option: WHY it exists

HOW it works

- Give concrete facts

not abstract comparisons

- If hypotheses disproven

generate new ones from gathered information

- When multiple valid approaches: speculate

think aloud

- On transient errors

retry (unless explicit limit reached)

- Policies

rules

If not

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

- Scan package.json

Cargo.toml

2. Apply Deepthink Protocol (reason about dependencies

risks

- Check for .claude/ folder (agents

commands

- Look for CLAUDE.md

AGENTS.md

- Policy rules

mandatory prerequisites

- Identify gaps

ambiguities

If you can track internally

do it internally.

- Use a background setting that complements the family theme

such as a cozy living room or an outdoor garden scene.

- Use soft

warm tones to evoke a familial and welcoming atmosphere.

- Blend the features

expressions

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

3. Deliver results in Markdown

JSON/YAML

- Provide access to a variety of games

from retro to modern.