Find agent skills by outcome

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

optimizing

name = agent.get(name

query).encode(ascii

result = _api_post(/challenges/verify

{

lookup = _api_get(f/verify/{quote(query

safe='')})

result = _api_post(/challenges

{agent_id: agent_id})

name = agent.get(name

query).encode(ascii

lookup = _api_get(f/verify/{quote(query

safe='')})

name = agent.get(name

query).encode(ascii

body = e.read().decode(utf-8

errors=replace)

url = f{API_BASE}/verify/{quote(query

safe='')}

Tries slug/DID first (direct API lookup)

then falls back to name search.

result = _api_post(/agents/register

payload)

CRITICAL: we sign challenge_hex.encode('utf-8')

NOT bytes.fromhex().

return sk.encode().hex()

sk.verify_key.encode().hex()

body = e.read().decode(utf-8

errors=replace)

Data

req = Request(url

data=data

req.add_header(Content-Type

application/json)

Data

msg = data.get(error

data.get(message

def _api_post(path

payload):

data = json.dumps(payload

ensure_ascii=True).encode(utf-8)

body = e.read().decode(utf-8

errors=replace)

environmental_storytelling: The warmly lit but empty cafe suggests a late hour

creating a tranquil and lonely atmosphere in an urban setting. The moonlit water adds to the sense of peace.

setting_details: A multi-story building with a cafe on the ground floor stands next to a body of water under a night sky. A crosswalk is in the foreground

and a distant shoreline is visible across the water.

environmental_storytelling: The room's exuberant decor

with its explosion of color and pattern