linkedin-outbound-workflow

linkedin-outbound-workflow is a skill for Claude Code, Codex from peterod99/consultant-skills. It costs 29 tokens per session (1,243 once invoked), scanned A, original, MIT.

A manual process for finding potential consulting clients on LinkedIn and turning conversations into booked calls.

In plain words
What is it for?
It covers Sales Navigator searches, personalized connection requests, follow-up conversations, and scheduling calls.
Why use it?
It gives consultants a defined path from selecting suitable prospects to requesting a meeting.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It covers Sales Navigator searches, personalized connection requests, follow-up conversations, and scheduling calls.

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Install with agentmods
npx agentmods add skills/peterod99/consultant-skills/linkedin-outbound-workflow
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add peterod99/consultant-skills --skill linkedin-outbound-workflow
Clone the repo
git clone --depth 1 https://github.com/peterod99/consultant-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for linkedin-outbound-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/peterod99/consultant-skills/linkedin-outbound-workflow/github.svg)](https://agentmods.dev/skills/peterod99/consultant-skills/linkedin-outbound-workflow)
Your own site
<a href="https://agentmods.dev/skills/peterod99/consultant-skills/linkedin-outbound-workflow"><img src="https://agentmods.dev/badge/skills/peterod99/consultant-skills/linkedin-outbound-workflow/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for linkedin-outbound-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/peterod99/consultant-skills/linkedin-outbound-workflow"><img src="https://agentmods.dev/badge/skills/peterod99/consultant-skills/linkedin-outbound-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,243 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.01243
Opus 5 $0.00015 $0.00622
Sonnet 5 $0.00006 $0.00249
Haiku 4.5 $0.00003 $0.00124

Measured 10d ago against content hash 02ad1ae75ff4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

linkedin-outbound-workflow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

linkedin-outbound-workflow/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Outbound Workflow

When to use

When you've validated your ICP and you want to reach them on the platform where they already spend time. LinkedIn outbound works better than cold email for relationship-first consultants because people accept connection requests, then conversations can feel natural, not "transactional." This workflow takes someone from "stranger who saw your profile" to "person with a meeting on their calendar."

The framework

  1. Sales Navigator search to target. Use filters: job title, company size, location, industry. Save 50–100 prospects. Example: "Chief Marketing Officer at companies with 50–200 people in B2B SaaS in US or Canada." Start here, then refine by "recently changed jobs" or "posted in last 7 days" to signal active engagement.
  2. Send personalized connection request with context. 100-character max. Reference something specific: their recent post, a mutual connection, a company milestone, or a shared profile detail. "Just saw your hiring push, impressed with how fast you've scaled the team" beats blank requests by 3x. Avoid: "I'd like to add you to my network."
  3. Wait 3–5 days after they accept the connection. Monitor when they accept (they're checking their profile = higher engagement window). Then send a conversation starter via DM. Not a pitch. A genuine question or insight that shows you've done research.
  4. Conversation starter via DM (not automated). Manual DM over Dripify-style automation. Tone: casual, not scripted, 2–3 sentences. "Saw you wrote about scaling remote teams, had a question on your approach to async onboarding" or "Noticed you switched companies. Curious how you're approaching your first 90 days here?" These are low-ask, high-engagement starts.
  5. Wait for engagement, then move to call booking. If they respond positively (not just emoji), reply once more to establish warmth, then pivot: "This could be a quick 15-min call if you're open. What does your week look like?" If no response after 3–4 days, wait a week and send one more: "Worth a quick chat?" If still no, move on.

Read the full file on GitHub · 50 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 50 lines · 29 tokens per session scan A 02ad1ae75ff4

Subscribe to this mod's changes

linkedin-outbound-workflow is a skill published in the GitHub repository peterod99/consultant-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 1,243 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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