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Agent skill

Li Dm

by Jakeschincariol in Jakeschincariol/linkedin-agent-skill

Write connection notes and DM follow-ups that get replies - the 200-character invite, the first message, and the two follow-ups.

MITAuto-check passedWriting & Content

Install Li Dm

skills CLI
$ npx skills add Jakeschincariol/linkedin-agent-skill --skill li-dm -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Jakeschincariol/linkedin-agent-skill li-dm --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Jakeschincariol/linkedin-agent-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/li-dm .claude/skills/li-dm && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
li-dm
GitHub stars
1.7k
Token cost
~780 tokens
SKILL.md length
408 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Write connection notes and DM follow-ups that get replies - the 200-character invite, the first message, and the two follow-ups.

  • Works in 3 steps: Who - name, role, company. → The hook - the actual reason to reach… → What the user wants - a conversation, a…
  • The user says write a connection request
  • SKILL.md covers Before writing, get the…, The invite note (200 characters), The first message, after they… and Follow-ups, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Li Dm is an agent skill from Jakeschincariol/linkedin-agent-skill. Write connection notes and DM follow-ups that get replies - the 200-character invite, the first message, and the two follow-ups. Use when the user says "write a connection request", "DM this person", "outreach message", "how do I follow up", or is reaching out to someone specific on LinkedIn.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content. It works with LinkedIn. The repository describes itself as: Eleven free Claude skills that run a LinkedIn account: posts off 21 hook formulas, comments, replies, profile score, weekly plan, and a humanizer that strips the AI fingerprint… The licence is MIT.

When your agent uses it

  • The user says write a connection request
  • Outreach message
  • How do I follow up
  • Is reaching out to someone specific on LinkedIn

Example prompts

  • “write a connection request”
  • “DM this person”
  • “outreach message”
  • “/li-dm”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Who - name, role, company.
  2. The hook - the actual reason to reach out now. A post they wrote, a
  3. What the user wants - a conversation, a referral, a job, a sale. Be

What it can do on your machine

Read from SKILL.md and the folder at commit add2c23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Li Dm loads about 780 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 408 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~780

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Jakeschincariol/linkedin-agent-skill at commit add2c23, republished under its MIT licence (© Jakeschincariol). 408 words, ~780 tokens.

Download SKILL.mdSave it as .claude/skills/li-dm/SKILL.md (or your agent's skills folder).
name
li-dm
description
Write connection notes and DM follow-ups that get replies - the 200-character invite, the first message, and the two follow-ups. Use when the user says "write a connection request", "DM this person", "outreach message", "how do I follow up", or is reaching out to someone specific on LinkedIn.

li-dm

The invite note is 200 characters. The first DM decides whether there is a second one. Neither is a pitch.

Before writing, get the specifics

Ask for, in one batched question:

  1. Who - name, role, company.
  2. The hook - the actual reason to reach out now. A post they wrote, a thing their company shipped, a mutual connection, a talk they gave. Not "they fit my ICP".
  3. What the user wants - a conversation, a referral, a job, a sale. Be honest internally, even if the message does not lead with it.

If there is no specific reason to message this person today, say so. A message with no reason is what everyone else sends, and it is why their reply rate is 2%.

The invite note (200 characters)

{one specific reference to them} + {one line of who you are} + {no ask}

The note asks for nothing. It exists to make the accept obvious. Under 200 characters including spaces - count them and show the count.

Saw your post on killing the discovery call - we did the same thing in March
and it worked. I run ops at a 12-person studio. Would like to follow along.
                                                                    [187/200]

The first message, after they accept

Wait a day. Then:

  • Two to four sentences. A screen of text is a delete.
  • Reference the specific thing from the note - continuity is the whole reason the note was specific.
  • Give something before asking. A number, a template, a name, an answer.
  • One ask, and make it small. "Worth a 15-minute call?" beats "let me walk you through our platform".
  • No calendar link in message one. It reads as a funnel, because it is.
Show full SKILL.md (174 more words)Show less

Follow-ups

Two. That is the number.

  • +4 days - add something new. Never "just bumping this" or "following up on my last message". If you have nothing new, you have no follow-up.
  • +10 days - the close-the-loop message. Say you will stop, and mean it. This one gets a surprising share of the total replies, because it removes the pressure.

Then stop. A third follow-up converts nobody and costs the relationship.

Never

  • Never send an automated connection or message sequence. Automated outreach tools violate LinkedIn's User Agreement and get accounts restricted.
  • Never fabricate a mutual connection, a shared school, or having read something the user has not read.
  • Never write the message that opens "I hope this message finds you well".
  • Never send more than 20 invites a day. Beyond that, LinkedIn throttles the account, and a throttled account is a dead one.

Output

The invite note with its character count, the first message, and both follow-ups with the day they go out. All humanized through /li-human. The user sends every one of them by hand.

© Jakeschincariol, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/li-dm of Jakeschincariol/linkedin-agent-skill.

Open the folder on GitHubat commit add2c23

Compare with similar skills

Li Dm next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Li Dm compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Li Dm this skillJakeschincariol/linkedin-agent-skill1.7k—~780Automated safety check: PassMIT
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
Social Contentfreekmurze/dotfiles1k23 repos~2.1kAutomated safety check: PassNone
Linkedin Marketingsergebulaev/linkedin-skills4.4k1 repos~3.2kAutomated safety check: NotesMIT
Linkedin Comment Draftersergebulaev/linkedin-skills4.4k1 repos~2.2kAutomated safety check: PassMIT
Linkedin Content Plannersergebulaev/linkedin-skills4.4k1 repos~2.1kAutomated safety check: PassMIT

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Works with

Categories

Questions about Li Dm

What does Li Dm do?

Write connection notes and DM follow-ups that get replies - the 200-character invite, the first message, and the two follow-ups. Li Dm is an agent skill from Jakeschincariol/linkedin-agent-skill. Write connection notes and DM follow-ups that get replies - the 200-character invite, the first message, and the two follow-ups.

When should I use Li Dm?

Li Dm fits situations like: the user says write a connection request; outreach message; how do I follow up; is reaching out to someone specific on LinkedIn.

How do I install Li Dm in Claude Code?

Run `npx skills add Jakeschincariol/linkedin-agent-skill --skill li-dm -a claude-code`. Or copy the skill folder (skills/li-dm in Jakeschincariol/linkedin-agent-skill) into .claude/skills/li-dm in your project. Claude Code loads it when a task matches its description.

How do I install Li Dm in Codex?

Run `npx skills add Jakeschincariol/linkedin-agent-skill --skill li-dm -a codex`. Or copy the skill folder (skills/li-dm in Jakeschincariol/linkedin-agent-skill) into .agents/skills/li-dm in your project. Codex loads it when a task matches its description.

Can I use Li Dm in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Jakeschincariol/linkedin-agent-skill --skill li-dm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/li-dm, .gemini/skills/li-dm, .github/skills/li-dm and .opencode/skills/li-dm in your project.

What does Li Dm need to run?

SKILL.md names no scripts, command-line tools or credentials: Li Dm is instructions for the agent only.

Does Li Dm access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Li Dm safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Li Dm use?

Li Dm is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Li Dm use?

About 780 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Li Dm?

Skills that share tags, products or a category with Li Dm: Social (coreyhaines31/marketingskills, 54k stars), Social Content (freekmurze/dotfiles, 1k stars), Linkedin Marketing (sergebulaev/linkedin-skills, 4.4k stars) and Linkedin Comment Drafter (sergebulaev/linkedin-skills, 4.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Li Dm?

Jakeschincariol (a GitHub user) maintains it in Jakeschincariol/linkedin-agent-skill, which has 1,688 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 17, 2026.

Source: Jakeschincariol/linkedin-agent-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.