LinkedIn Lead Gen Outreach

---

name: linkedin-lead-gen-outreach description: Lightweight LinkedIn prospecting and outreach workflow for researching qualified leads, applying simple prioritization, drafting concise personalized messages, exporting clean CSV or Google Sheets-ready lead lists, and summarizing campaign activity. Use when preparing a compliant LinkedIn lead generation process, refining ICP-based targeting, building review-ready lead sheets, or generating simple outreach dashboards.

---

LinkedIn Lead Gen Outreach

Run a clean, review-first LinkedIn prospecting workflow focused on lead quality, concise messaging, and simple export-ready sales operations.

Keep every output structured, evidence-based, and easy to review before outreach.

Workflow

Use this sequence for complete requests:

1. define targeting 2. collect prospect data 3. apply simple lead scoring 4. draft short personalized outreach 5. export structured lead data 6. summarize campaign metrics

1. Define targeting

Capture the search brief before producing leads.

Minimum inputs:

keywords

target job titles

seniority

industry or company type

location

exclusions

business objective

If the request is underspecified, convert it into a concise ICP before generating leads.

2. Collect prospect data

Use visible LinkedIn information, user-provided data, or manually reviewed search results.

Capture these fields whenever possible:

full name

LinkedIn URL

title

company

location

search match

business potential note

personalization signal

source list or query

Useful personalization signals include:

recent post theme

recent promotion or job change

hiring activity

company growth signal

Do not invent facts. If evidence is weak, mark it clearly and keep the message more general.

3. Apply simple lead scoring

Use a lightweight and explainable scoring model.

Default scoring dimensions:

role relevance: 0-5

company fit: 0-5

likely need: 0-5

timing signal: 0-5

personalization depth: 0-5

Total score bands:

20-25: high priority

12-19: medium priority

0-11: low priority

Always include a one-line explanation.

4. Draft personalized messages

Write opening messages that are:

professional

concise

2-3 lines max

easy to review and edit

grounded in real signals

Recommended structure:

1. relevant opener 2. business relevance 3. soft CTA

Rules:

keep messages short and polished

avoid hype, pressure, or artificial urgency

avoid unsupported claims

if personalization is weak, prefer a role-based message over forced specificity

5. Use message templates

Adapt one of the templates in references/templates.md.

Prefer:

signal-based messages when evidence is strong

role-based messages when evidence is moderate

executive-tone messages for senior stakeholders

6. Export format

Prefer a flat CSV structure that also imports cleanly into Google Sheets.

Recommended columns:

first_name

last_name

full_name

linkedin_url

title

company

location

keyword_match

business_potential_note

personalization_note

score_total

priority

score_reason

message_v1

campaign_name

owner

source

status

next_action

Suggested status values:

to_review

approved

ready_for_outreach

contacted

replied

disqualified

7. Dashboard and statistics

When the user asks for a dashboard, produce a lightweight summary that can live in Markdown, CSV-derived calculations, or Google Sheets.

Include these default metrics:

total leads

high / medium / low priority counts

leads by title

leads by geography

personalization coverage

leads ready for outreach

Keep it simple and executive-friendly.

Google Sheets guidance

When preparing a sheet:

freeze the top row

apply filters to all headers

use data validation for priority, status, and next_action

add a summary section above or in a second tab

preserve the original raw data columns

Compliance standard

Operate in a LinkedIn-compliant, review-first manner.

Use this skill to support:

profile research

qualification

message drafting

structured exports

reporting

Do not rely on deceptive automation, hidden sending loops, or behavior intended to bypass platform safeguards.

Deliverable order

For a complete request, produce outputs in this order:

1. targeting summary 2. scoring rubric 3. lead table or CSV-ready rows 4. message variants 5. dashboard summary 6. Google Sheets notes

Quality bar

A strong result is:

clean and business-ready

grounded in visible evidence

concise enough for sales execution

easy to export or review

compliant and professional

Community edition note

This edition focuses on lightweight prospect research, simple prioritization, concise outreach drafting, and clean CSV or Sheets-ready exports.

Resources

Use bundled resources when useful:

references/templates.md for ICP, scoring, and message templates

scripts/csv_builder.py to convert JSON leads into CSV

scripts/sheets_prep.py to normalize CSV fields for Google Sheets workflows

scripts/dashboard_stats.py to compute simple campaign metrics from a CSV file