Triage the LinkedIn inbox - sort connection requests and DMs into leads, recruiters, peers and spam, and draft the replies worth sending.

MITAuto-check passedProductivity & Automation

Install Li Inbox

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

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

GitHub CLI
$ gh skill install Jakeschincariol/linkedin-agent-skill li-inbox --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-inbox .claude/skills/li-inbox && 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-inbox
GitHub stars
1.7k
Token cost
~723 tokens
SKILL.md length
398 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Triage the LinkedIn inbox - sort connection requests and DMs into leads, recruiters, peers and spam, and draft the replies worth sending.

  • The user says my inbox is a mess
  • SKILL.md covers Input, Sort into five, Detecting a sequence and Replies, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Should I reply to this

What it does

Li Inbox is an agent skill from Jakeschincariol/linkedin-agent-skill. Triage the LinkedIn inbox - sort connection requests and DMs into leads, recruiters, peers and spam, and draft the replies worth sending. Use when the user says "my inbox is a mess", "triage my DMs", "should I reply to this", pastes a batch of LinkedIn messages, or is drowning in connection requests.

Its SKILL.md is about 720 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 Productivity & Automation, covering Email management, Recruiting and HR and Messaging and chat bots. 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 my inbox is a mess
  • Should I reply to this
  • Pastes a batch of LinkedIn messages
  • Is drowning in connection requests

Example prompts

  • “my inbox is a mess”
  • “triage my DMs”
  • “should I reply to this”
  • “/li-inbox”

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 Inbox loads about 723 tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 398 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~723

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). 398 words, ~723 tokens.

Download SKILL.mdSave it as .claude/skills/li-inbox/SKILL.md (or your agent's skills folder).
name
li-inbox
description
Triage the LinkedIn inbox - sort connection requests and DMs into leads, recruiters, peers and spam, and draft the replies worth sending. Use when the user says "my inbox is a mess", "triage my DMs", "should I reply to this", pastes a batch of LinkedIn messages, or is drowning in connection requests.

li-inbox

Most LinkedIn inboxes are 80% noise, and the cost of that noise is that the 20% goes unanswered for a week. This skill separates them, then writes only what is worth writing.

Input

The user pastes the messages. Screenshots are fine. Do not log into their account or read their inbox with a browser tool.

Sort into five

bucketsignalaction
LEADdescribes a problem the user solves, or asks about working togetherreply today, full answer
RECRUITERa role, a company, a salary bandreply if the role is real, one line if not
PEERsomeone in the same field with something to sayreply this week, keep it human
ASKwants advice, time, an intro, a favourreply if it is cheap and specific, decline cleanly if not
SPAMagency pitch, lead-gen sequence, crypto, "quick question" with no questionarchive, no reply

Print the counts first. Seeing "3 leads, 2 recruiters, 41 spam" is most of the value.

Detecting a sequence

Automated outreach has a shape: an invite note with no specifics, a message that arrives within minutes of the accept, "quick question", "I noticed you're in {industry}", a calendar link in message one, then a bump exactly four days later. When you see it, mark it SPAM and say which tell gave it away. The user does not owe a reply to a script.

Show full SKILL.md (170 more words)Show less

Replies

  • LEAD - answer the actual question in the message, in full, for free. If it is a fit, the offer is one sentence at the end. If it is not, say so and point them somewhere useful. Both outcomes are good.
  • RECRUITER - if the role is genuinely interesting, ask the three things the message left out: comp band, level, and whether it is in-office. If it is not, one line: not looking, happy to refer, and mean the refer.
  • ASK - if it costs under ten minutes and is specific, do it. If it is "can I pick your brain", decline in one warm sentence and give them the one answer you would have given on the call. That is the polite version and it is also the more useful one.
  • DECLINES are short, warm and final. No "let's revisit in Q3" if there is no Q3.

Output

Grouped by bucket, counts first, drafts only for the buckets that get replies, each one humanized. Then the gate: the user sends them.

INBOX  ·  52 items  ·  3 LEAD, 2 RECRUITER, 4 PEER, 2 ASK, 41 SPAM

SPAM  (41) - archive. 38 are the same sequence: no-specifics invite,
"quick question" within 4 minutes of accept, calendar link in message one.

© 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-inbox of Jakeschincariol/linkedin-agent-skill.

Open the folder on GitHubat commit add2c23

Compare with similar skills

Li Inbox 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 Inbox compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Li Inbox this skillJakeschincariol/linkedin-agent-skill1.7k—~723Automated safety check: PassMIT
Ak Dev New Messaging Integrationyaalalabs/agent-kernel192—~4.6kAutomated safety check: PassApache-2.0
X Use Inboxihuzaifashoukat/x-use171—~1.5kAutomated safety check: PassMIT
Media WritershareAI-lab/lab-skills315—~870Automated safety check: PassApache-2.0
X Dm Auto Chatbrowser-act/skills6.1k—~3.9kAutomated safety check: PassMIT
X Use Threadsihuzaifashoukat/x-use171—~725Automated safety check: PassMIT

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More from Jakeschincariol/linkedin-agent-skill

All 11 skills in this repo
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  • Li Dm

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  • Li Human

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Works with

Questions about Li Inbox

What does Li Inbox do?

Triage the LinkedIn inbox - sort connection requests and DMs into leads, recruiters, peers and spam, and draft the replies worth sending. Li Inbox is an agent skill from Jakeschincariol/linkedin-agent-skill. Triage the LinkedIn inbox - sort connection requests and DMs into leads, recruiters, peers and spam, and draft the replies worth sending.

When should I use Li Inbox?

Li Inbox fits situations like: the user says my inbox is a mess; should I reply to this; pastes a batch of LinkedIn messages; is drowning in connection requests.

How do I install Li Inbox in Claude Code?

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

How do I install Li Inbox in Codex?

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

Can I use Li Inbox 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-inbox -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-inbox, .gemini/skills/li-inbox, .github/skills/li-inbox and .opencode/skills/li-inbox in your project.

What does Li Inbox need to run?

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

Does Li Inbox 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 Inbox 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 Inbox use?

Li Inbox 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 Inbox use?

About 723 tokens (SKILL.md is roughly 2.9k 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 Inbox?

Skills that share tags, products or a category with Li Inbox: Ak Dev New Messaging Integration (yaalalabs/agent-kernel, 192 stars), X Use Inbox (ihuzaifashoukat/x-use, 171 stars), Media Writer (shareAI-lab/lab-skills, 315 stars) and X Dm Auto Chat (browser-act/skills, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Li Inbox?

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.