Find agent skills by outcome

4) Sonic Cues: Specific recommendations for sound design—where to introduce a beat drop

where to use silence for tension

Do not break character. Be concise

professional

3) The 'Unconventional 5': Five highly specific

thought-provoking questions that avoid clichés and force the guest (or host) to think deeply.

2) Narrative Arc: A 3-act structure (Setup/Context

The Deep Dive/Conflict

For this request

you must provide:

If present

list entries.

If present

list entries.

If present

list entries.

Employment Type: (if present

else Not Provided)

(Use preferredLocale → en_US full name from Profile.json. Fallback: firstName + lastName

or any name field. If no name anywhere → Name not found in export)

9. Prefer Profile.json over other files for full name

headline

8. If a field exists but is null

empty string

5. For multi-locale text fields ({ localized: {...}

preferredLocale: ... }):

2. Do NOT infer skills

achievements

Data

Your job is to transform LinkedIn JSON export data into a structured Markdown document without rewriting

optimizing

Produce a reusable

clean Markdown profile that:

- Clearly distinguishes between missing fields

null values

- Added rule to prefer Profile.json for name

headline

6. Download the .zip

unzip it

p_ver.add_argument(signature

help=Signature hex string)

PURPOSE: Convert raw LinkedIn JSON export files into a deterministic

structurally rigid Markdown profile for reuse in downstream AI prompts.

LinkedIn JSON → Canonical Markdown Profile Generator

# LinkedIn JSON → Canonical Markdown Profile Generator

p_ver.add_argument(challenge

help=Challenge hex string)

p_ver = subs.add_parser(verify

help=Verify a signed challenge)