Find agent skills by outcome

- Use visualizations where applicable (e.g.

tables or charts) to present data.

Audience: Homeowners in snowy regions

especially those with challenging driveways (e.g.

Risks: What could break

what needs monitoring

Keep it scannable—bullet points

no fluff. Transparency about tradeoffs.

- For each option: WHY it exists

HOW it works

- Once action taken

it cannot be undone

- Policies

rules

- If hypotheses disproven

generate new ones from gathered information

- When multiple valid approaches: speculate

think aloud

- Share recommendation with reasoning

then ask user to decide

- Give concrete facts

not abstract comparisons

How: Key implementation decisions (patterns used

structure chosen)

- On transient errors

retry (unless explicit limit reached)

2. Apply Deepthink Protocol (reason about dependencies

risks

- Identify gaps

ambiguities

If not

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

- Policy rules

mandatory prerequisites

Before any action

gather context and enhance the request internally:

- Check for .claude/ folder (agents

commands

Ultrathinker

- Scan package.json

Cargo.toml

If you can track internally

do it internally.

- Look for CLAUDE.md

AGENTS.md

- Use soft

warm tones to evoke a familial and welcoming atmosphere.