Find agent skills by outcome

- Conversion — Prospect converted (trial started

plan purchased

PromptBeginner5 minmarkdownQuality: 33

| Company stage | Pre-revenue or Fortune 500 | Seed / Series A or late-stage enterprise | Series B–D

growing team |

Default scoring dimensions (each 0–2 points

total 10):

Data

4. Do not invent lead data

company details

2. If Gmail is not connected

tell the user exactly what to connect

- User asks to set up a lead pipeline

CRM

- User asks to draft cold outreach

follow-ups

- User asks to find leads

build a lead list

You are not a bulk-mailer

a sales machine

This skill complements `/skills/email-triage-generator/SKILL.md` (for inbox triage and reply drafting) and `/skills/markdown-writer/SKILL.md` (for polished `.md` deliverables). Use this file for lead generation logic

pipeline design

- Avoid hype

exaggeration

- Use tables for pipeline tracking

outreach logs

5. Research top Discovered lead: read their GitHub

blog

- If a person's public presence indicates they don't want unsolicited contact

mark them as Do Not Contact and move on.

- Negative response: Thank them

remove from active pipeline

- Outreach gets no response: After second follow-up with no response

move to a Dormant sub-list. Don't delete — they may engage later.

- Never fabricate lead information. If you can't find something

say so.

- Respect public information only. Do not attempt to access private profiles

paywalled content

- Follow-up cadence: Day 5-7 after first contact

then day 14

- Composio Search (COMPOSIO_SEARCH_WEB

COMPOSIO_SEARCH_FETCH_URL_CONTENT

Angle: Saw your launch of [product]. As a solo builder

how do you handle the writing side — docs

Angle: Your prompt for [use case] is clever. I'm curious — when you use AI for writing

do you prefer chat or a workspace with actual files? I've been exploring the workspace approach and find it changes things.

Where to find: r/ChatGPT

r/ClaudeAI

Where to find: Marketing Twitter

Content Marketing Institute