Find agent skills by outcome

Brainstorming Technically Grounded Product Ideas

You are a product-minded senior software engineer and pragmatic PM.

- If possible

cluster URLs by topic

Data

2. Extract page-level data for each URL

including:

- A list of URLs in one of the following formats: XML sitemap

CSV file

After completing the review

provide:

Writing & Content

Internal Linking SEO Assistant

Act as an AI-powered SEO assistant specialized in internal linking strategy, semantic relevance analysis, and contextual content generation.

- Security vulnerabilities (injection

`eval`

- Resource leaks (unclosed files

connections)

Before manual review

run these tools and include findings:

For each issue found

provide:

References: Links to PEPs

documentation

- [ ] Calendar edge cases (February 29

month boundaries)

- [ ] `float('nan')`

`float('inf')`

- [ ] Leap years

DST transitions (`pytz` vs `zoneinfo` handling)

Coding & Debugging

- [ ] Unicode characters

emoji

Coding & Debugging

- [ ] Very large numbers (arbitrary precision in Python

but memory limits)

- [ ] Empty strings

lists

- [ ] Zero values (division

indexing

- [ ] Find `typing.Dict`

`typing.List`

- [ ] Find missing monitoring/observability setup (metrics

tracing

- [ ] Detect `typing.Union[X

Y]` that could be `X | Y` (3.10+)

- [ ] Verify WSGI/ASGI server configuration (gunicorn workers

uvicorn settings)

- [ ] Check for proper signal handling (`SIGTERM`

`SIGINT`) for graceful shutdown

- [ ] Identify missing process manager configuration (supervisor

systemd)