Find agent skills by outcome

# Location: [e.g.

East Hartford

- v1.0–1.3 (Dec 2025): Initial versions focused on weather integration

refreezing risks

- v1.4 (Jan 16

2026): Stress-tested for edge cases (blizzards

- Review user profiles

extracting relevant information based on the specified criteria.

# Audience: Homeowners in snowy regions

especially those with challenging driveways (e.g.

When to clear the snow (generic)

# Generic Driveway Snow Clearing Advisor Prompt

# Recommended AI Engines: Grok 4 (xAI)

Claude (Anthropic)

Smells: Tech debt

workarounds

Keep it scannable—bullet points

no fluff. Transparency about tradeoffs.

Risks: What could break

what needs monitoring

Writing

- Analyze the YouTube channel's metrics

content type

- For each option: WHY it exists

HOW it works

- Give concrete facts

not abstract comparisons

- Share recommendation with reasoning

then ask user to decide

- Once action taken

it cannot be undone

How: Key implementation decisions (patterns used

structure chosen)

- Policies

rules

- If hypotheses disproven

generate new ones from gathered information

- On transient errors

retry (unless explicit limit reached)

- When multiple valid approaches: speculate

think aloud

- Check for .claude/ folder (agents

commands

- Look for CLAUDE.md

AGENTS.md

- Scan package.json

Cargo.toml

If not

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