Find agent skills by outcome

def getrecentactivity(profile_data: dict

days: int = 30) -> list[dict]:

def getmutualconnections(profile_data: dict

user_network: list = None) -> list[str]:

In production

would use LinkedIn API or Sales Navigator.

from dataclasses import dataclass

asdict

In production

would call news APIs.

industry: Technology

Would come from API

In production

this would call APIs like Clearbit

from dataclasses import dataclass

asdict

As a prompt engineering expert

please:

- technical: Software bugs

crashes

✅ After: Based on current market data

what are 3 possible

Breaking complex tasks into sequential prompts

using outputs as inputs.

Best for: Simple

straightforward tasks

The Prompt Engineering Expert skill equips Claude with deep expertise in prompt engineering

custom instructions design

- ✅ Clear

well-organized structure

description: This skill equips Claude with deep expertise in prompt engineering

custom instructions design

- Structure and Formatting: Organizing prompts with proper hierarchy

sections

Prompt Engineering Expert

- Prioritize sources and statistics from that period; if a key metric is only available from earlier...

clearly label the year.

- Do not use quotes

code fences

- Includes relevant statistics in as many bullets as feasible

with explicit figures

- When only older data is available on a critical point

you may use it

- Clear

skimmable structure with reliable statistics and citations.

- A data-driven economist skilled in interpreting statistics

benchmarks