linkedin-followup-adapter

linkedin-followup-adapter is a skill for Claude Code, Codex from styfinity/linkedin-engine. It costs 47 tokens per session (527 once invoked), scanned A, original, MIT.

A LinkedIn follow-up writing aid that bases the next message on what actually happened in a conversation rather than on a fixed waiting period.

In plain words
What is it for?
It identifies the conversation's current state, chooses a new angle, adds a useful observation or resource, and drafts a short human-sounding follow-up.
Why use it?
It helps avoid sending repetitive reminders when a prospect has gone quiet, raised an objection, or left an unfinished thread.

Skill for Claude CodeCodex

Part of the linkedin-engine plugin — 29 skills, 1 hook, 1 MCP server shipped together

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.

agentmods
npx agentmods add skills/styfinity/linkedin-engine/linkedin-followup-adapter
Any agent
npx skills add styfinity/linkedin-engine --skill linkedin-followup-adapter
Clone the repo
git clone --depth 1 https://github.com/styfinity/linkedin-engine

Made for: Claude Code, Codex.

Or install linkedin-engine, the plugin that ships this one along with the rest of its 29 skills, 1 hook, 1 MCP server.

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-followup-adapter

README.md
[![agentmods](https://agentmods.dev/badge/skills/styfinity/linkedin-engine/linkedin-followup-adapter.svg)](https://agentmods.dev/skills/styfinity/linkedin-engine/linkedin-followup-adapter)
Your own site
<a href="https://agentmods.dev/skills/styfinity/linkedin-engine/linkedin-followup-adapter"><img src="https://agentmods.dev/badge/skills/styfinity/linkedin-engine/linkedin-followup-adapter.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 527 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00047 $0.00527
Opus 5 $0.00023 $0.00264
Sonnet 5 $0.00009 $0.00105
Haiku 4.5 $0.00005 $0.00053

Measured 4d ago against content hash 5017ef857a11, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

linkedin-followup-adapter 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 4d 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.

skills/linkedin-followup-adapter/SKILL.md · 33 lines

What it actually says

LinkedIn Follow-up Adapter

A follow-up is a new move, not a reminder. This skill reads the real state of the conversation and writes the next message off THAT, adding a fresh piece of value every time.

Inputs

  • The thread so far and what actually happened on the last touch (they replied and went quiet, they opened a loop, they raised an objection, they ghosted after a yes): $ARGUMENTS
  • The brief (persona tone, pains, offer) loads automatically.

Do this

  1. Read where the conversation actually is. Name the real state in one line: warm-but-busy, half-objection, interest-without-action, or genuine silence. Write off that, not a calendar.
  2. Pick a new angle, different from the last touch. If the last message asked a question, this one gives. If the last gave value, this one references a signal or a result.
  3. Add one new piece of value: a relevant observation, a useful resource, a specific result a client or operator saw, a single sharp question. Never restate the prior ask.
  4. Write the message short and human. Reads like a peer continuing a real thread.
  5. If their reply signals heat, hand it to /linkedin-reply-triager instead of sending another nudge. Run /linkedin-humanizer on the draft before it ships.

Output

  • The next message, labelled clearly.
  • The angle it takes and the conversation state it answers, one line.
  • When to send it, expressed relative to the last touch, not a fixed date.

Rules

  • State-driven, never timer-driven. The thread tells you when and what, not the clock.
  • New angle and new value on every touch. If you cannot add value, do not send.
  • Banned phrase: "just following up" (and its cousins "bumping this", "circling back", "checking in").
  • No em-dashes. No "hope you're well".
  • Draft only. Claude drafts, the operator approves. Sending runs through the connected CLI/MCP layer on the operator's own session or provider key, shows the draft first, and is capped at 20 actions per day for new accounts.
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. 4d ago First seen · 33 lines · 47 tokens per session scan A 5017ef857a11

Subscribe to this mod's changes

linkedin-followup-adapter is a skill published in the GitHub repository styfinity/linkedin-engine (7 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 527 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

LinkedIn Automation

Automate LinkedIn marketing, lead generation, content publishing, and professional networking.

claude-office-skills/skills · 19 tokens

lemlist-campaign-from-icp

Use when the user says "create a lemlist campaign for X", "build a lemlist campaign from this ICP", "spin a lemlist campaign for Y", "ICP to lemlist", "natural language to lemlist campaign", "draft a lemlist campaign", "lemlist campaign for VPs/Managers/ICs at Z", or any variant indicating they want to turn a…

Othmane-Khadri/YALC-the-GTM-operating-system · 251 tokens

campaign-strategy

Pre-flight strategy advisor for a new campaign. Analyses every past campaign in the local YALC DB (HeyReach campaigns auto-sync on each run), their real outbound copy, where in the sequence each conversation first replied, every prior retro brief, and the validated/proven intelligence file. Then it proposes angle…

Othmane-Khadri/YALC-the-GTM-operating-system · 154 tokens

copywriting-follow-up

Writes follow-up cold emails after no reply from a prospect. Use this skill whenever the user wants to follow up on an email that got no response, says "write a follow-up", "they didn't reply, what do I send?", "draft a bump email", "write email 2 or 3 of my sequence", or asks how to re-engage a cold prospect. Works…

Othmane-Khadri/YALC-the-GTM-operating-system · 131 tokens

copywriting-ic-sequence

Writes a 3-email outbound sequence targeting Individual Contributors (SDR, AE, BDR, Account Manager, Marketing Specialist, Sales Rep, RevOps Analyst, CS Rep, etc.). Use this skill whenever the user wants to write cold emails for an IC, says "write me a sequence for SDRs", "draft emails targeting AEs", "emails for…

Othmane-Khadri/YALC-the-GTM-operating-system · 127 tokens

copywriting-manager-sequence

Writes a 3-email outbound sequence targeting Manager-level buyers (Sales Manager, Marketing Manager, RevOps Manager, Team Lead, Operations Manager, etc.). Use this skill whenever the user wants to write cold emails for a Manager, says "write me a sequence for a Sales Manager", "draft emails targeting managers", or…

Othmane-Khadri/YALC-the-GTM-operating-system · 102 tokens