Find agent skills by outcome

1. Do NOT summarize

rewrite

Writing & Content

Important: LinkedIn normally takes up to 24 hours to prepare and send your data archive. You will not receive the files instantly. Once you have the files

paste their contents (or the most important ones) directly into the next message.

Produce a reusable

clean Markdown profile that:

Data

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

optimizing

PURPOSE: Convert raw LinkedIn JSON export files into a deterministic

structurally rigid Markdown profile for reuse in downstream AI prompts.

6. Download the .zip

unzip it

- Added rule to prefer Profile.json for name

headline

p_ver.add_argument(challenge

help=Challenge hex string)

LinkedIn JSON → Canonical Markdown Profile Generator

# LinkedIn JSON → Canonical Markdown Profile Generator

p_ver.add_argument(signature

help=Signature hex string)

p_ver = subs.add_parser(verify

help=Verify a signed challenge)

p_sign.add_argument(challenge

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

p_ver.add_argument(agent

help=Agent name or slug)

p_sign = subs.add_parser(sign

help=Sign a challenge with your private key)

p_chal.add_argument(agent

help=Agent name or slug to challenge)

p_chal = subs.add_parser(challenge

help=Create a challenge for another agent)

subs.add_parser(claim-url

help=Print claim URL for human owner)

p_look.add_argument(agent

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

p_look = subs.add_parser(lookup

help=Look up an agent by name or slug)

p_reg.add_argument(--description

default=None

subs.add_parser(whoami

help=Show local identity)

p_reg.add_argument(--name

required=True

did = agent.get(did

unknown)

p_reg = subs.add_parser(register

help=Register a new agent on MoltPass)