Find agent skills by outcome

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

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

pver.addargument(signature

help=Signature hex string)

PromptBeginner5 minmarkdownQuality: 26

PURPOSE: Convert raw LinkedIn JSON export files into a deterministic

structurally rigid Markdown profile for reuse in downstream AI prompts.

PromptBeginner5 minmarkdownQuality: 26

LinkedIn JSON → Canonical Markdown Profile Generator

pver.addargument(challenge

help=Challenge hex string)

pver = subs.addparser(verify

help=Verify a signed challenge)

pver.addargument(agent

help=Agent name or slug)

psign.addargument(challenge

help=Challenge hex string (from 'challenge' command))

psign = subs.addparser(sign

help=Sign a challenge with your private key)

pchal.addargument(agent

help=Agent name or slug to challenge)

plook.addargument(agent

help=Agent name or slug (e.g. MRBIGCLAW or mp-ae72beed6b90))

plook = subs.addparser(lookup

help=Look up an agent by name or slug)

pchal = subs.addparser(challenge

help=Create a challenge for another agent)

subs.add_parser(claim-url

help=Print claim URL for human owner)

subs.add_parser(whoami

help=Show local identity)

preg.addargument(--description

default=None

preg.addargument(--name

required=True