linkedin-agent-skill README

The project's README from github.com/Jakeschincariol/linkedin-agent-skill. As one markdown file: README.md.

The LinkedIn agent skill

Eleven Claude skills that run a LinkedIn account. Free, MIT, no signup, no API key, nothing to connect.

One of them writes your posts off 21 hook formulas. One comments on other people's posts. One handles the replies under yours. One scores your profile out of 100 and rewrites what lost points. One plans the week: what to post, when, and who to engage with.

And one is the humanizer, which is the reason the rest are usable. It strips the em dashes, the slop vocabulary and the invisible watermark characters out of a draft, then scores what is left against a five-check detection panel before you ever see it.

Nothing gets posted until you say yes. These skills write. You post.

Install

Paste this into Claude:

https://github.com/Jakeschincariol/linkedin-agent-skill

Install this skill, then confirm /li-post works.

Or do it yourself, in Claude Code:

git clone https://github.com/Jakeschincariol/linkedin-agent-skill.git
cp -r linkedin-agent-skill/skills/li-* ~/.claude/skills/

Or as a plugin:

/plugin marketplace add Jakeschincariol/linkedin-agent-skill
/plugin install linkedin-agent

Project-local instead of global: copy the same folders into your repo's .claude/skills/. No Claude Code at all? Paste any single SKILL.md at the top of a chat and it runs as a mode - you lose the two Python tools, which is most of the point of /li-human, but the rest works.

Then spend ten minutes on templates/voice.md. Copy it to ~/.claude/linkedin/voice.md and fill it in, or paste three of your own posts into Claude and say "write my voice.md from these". Every skill reads that file. Skip it and everything comes out sounding like everyone else.

The eleven

command what it does
/li-post One idea into a post. Three hook options from 21 formulas, one full draft, humanized before you see it.
/li-comment Comments on other people's posts. Nine types, picked by what the post actually is. Never "Great post!".
/li-reply The thread under your own post. Sorts every comment into lead / substance / peer / support / noise, then writes in that order.
/li-profile Scores your profile against a 12-part rubric out of 100, then rewrites in fix-first order.
/li-plan The week. What to post, when to post it, and the 10 people to engage with. Writes ~/.claude/linkedin/plan.md.
/li-human The humanizer. Two scripts that actually run. See below.
/li-carousel Document posts. Slide-by-slide copy, the cover that earns the swipe, and the PDF to upload.
/li-repurpose One video, newsletter or transcript into a week of posts that each stand alone.
/li-dm The 200-character invite note, the first message, and the two follow-ups. Two.
/li-inbox Triages the inbox into lead / recruiter / peer / ask / spam, and tells you which tell gave the sequence away.
/li-audit Post-mortem on what you have already published. Ranks by engagement rate and reach multiple, not impressions.

The humanizer

/li-human ships two Python scripts with no dependencies. They run on your machine, on your text, and nothing is uploaded.

python3 humanize.py draft.txt --report      # clean it, show every change
python3 detect.py draft.txt                  # score it, five checks
python3 detect.py before.txt after.txt       # prove the delta

What comes out automatically:

What gets flagged instead of fixed: "It's not just X, it's Y", rule-of-three triads, one-word rhetorical questions, hashtag walls, reflex engagement bait, uniform sentence length. Changing the shape of a sentence needs judgement, so those are handed back for a rewrite rather than mangled by a regex.

The five checks, scored 0-100, higher is more human:

check what it measures
BURSTINESS sentence-length variation. Models write even.
SPECIFICITY numbers, names and concrete markers per 100 words
SLOP DENSITY lexicon hits per 100 words
FINGERPRINT invisible characters, em dashes, curly quotes per 1,000
VOICE contractions, person, structural tells

The verdict weights the mean at 60% and the weakest single check at 40%, because a detector only needs one signal to fire.

Run against a deliberately terrible draft:

  BURSTINESS    ##################......  73.0
  SPECIFICITY   ######################## 100.0
  SLOP DENSITY  ........................   0.0    19 stock terms, 24.1 per 100 words
  FINGERPRINT   ........................   0.0    1 invisible, 1 em dash, 3 curly quote
  VOICE         ########................  33.3    3 structural tells
  ------------------------------------------------------------
  HUMAN SCORE   ######..................  24.8   FLAGGED

After humanize.py, with the flagged structures still unrewritten:

  HUMAN SCORE   #################.......  69.7   REVIEW    (+44.9)

The last stretch to PASS is the part the script deliberately leaves to you.

The fine print, which is the honest part

These skills do not post to LinkedIn, and they should not. There is no official API for posting to a personal profile without an approved partner app, and automating the site with a browser or a third-party tool violates LinkedIn's User Agreement and gets accounts restricted. So every skill here ends the same way: a copy-ready block, and you paste it. That is not a limitation bolted on afterwards, it is the design. It is also why the approval gate is real rather than a setting.

The five checks are local heuristics, not detector APIs. They are modelled on the signals public detectors key on, and they run entirely on your machine. They are not GPTZero, Originality, Copyleaks, Winston or Turnitin, they do not call those services, and they cannot promise those verdicts. Fixing what they measure tends to move those numbers, because they are measuring the same underlying things. That is the whole claim. Nobody can honestly sell you "undetectable", and anybody who does is selling you something.

The invisible-character pass is real and it is narrow. It removes the zero-width and format characters that end up in generated text and survive a copy-paste. That is a genuine, checkable fingerprint. It is not a claim about defeating a cryptographic watermarking scheme, and this repo does not make one.

Nothing here fabricates. No invented metrics, clients or outcomes go under your name. If a draft needs a number you have not given, it comes back with {{your number}} in it and a flag, every time.

Files

skills/li-post/hooks.json        21 hook formulas: template, example, what it is for, how it gets ruined
skills/li-human/slop.json        the lexicon: 113 terms, 17 invisible classes, 11 structural tells
skills/li-human/humanize.py      the three cleaning passes
skills/li-human/detect.py        the five-check panel
skills/li-profile/rubric.json    the 100-point profile score
templates/voice.md               your voice profile. Fill this in first.

Credit

Made by Jake Schincariol, opusjake.ai. The full write-up is at opusjake.ai/r/linkedin-agent.

License

MIT. Take it, change it, ship it.

linkedin-agent-skill (Jakeschincariol/linkedin-agent-skill)

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2.3K ·GitHub
Linkedin-agent-skill
What is this?A pack of eleven free Claude skills that handle running a LinkedIn account for you: writing posts off 21 hook formulas, commenting, replying, scoring your profile, planning the week, and a humanizer that strips AI-sounding text before you post.
Is this a standalone app or something I add to Claude?It's a bundle of Claude Skills (SKILL.md files plus two no-dependency Python scripts) meant to run inside Claude Code or as a plugin; you can even paste a single SKILL.md into a plain Claude chat and it works as a lightweight mode.
Do I need an API key or to log into LinkedIn to use this?No. There's no signup, no API key, and nothing to connect; the humanizer's two Python scripts also run locally with zero dependencies.
Does it actually post to LinkedIn automatically?No, and it's designed not to: there's no official API for posting to a personal profile, and automating LinkedIn via browser or third-party tools violates its User Agreement, so every skill ends with a copy-ready block that you paste yourself.
Does the humanizer upload my drafts anywhere?No, the two humanizer scripts run entirely on your own machine against your text, nothing is sent out.
Does the humanizer promise undetectable AI text?No. The five checks are local heuristics modeled on the signals public detectors use, not calls to services like GPTZero, Originality or Copyleaks, and the author is explicit that nobody can honestly promise undetectable text.
What is voice.md and why does it matter?It's a file at ~/.claude/linkedin/voice.md you fill in with your own writing (or three of your real posts) so every skill matches your voice; skip it and your posts come out sounding like everyone else's.
Can I use these skills without Claude Code?Yes, you can paste a single SKILL.md at the top of any Claude chat and it runs as a mode, though you lose the two Python humanizer scripts, which is most of the point of /li-human.
What does the /li-plan skill actually produce?It writes a weekly content plan to ~/.claude/linkedin/plan.md covering what to post, when to post it, and 10 people to engage with that week.
What are similar projects?Humanizer-zh, humanizer, im-not-ai, marketingskills, instagram-agent-skill, yomiyasu, sepia, human-writing
Which topics is it in?humanizer, writing-assistant, claude-plugin, claude-ai, marketing-automation, ai-writing, writing-tools, social-media, claude-skill, writing, marketing, claude-code-plugin
Creator
Jakeschincariol
Size
0.1 MB
Stars
2.3K
Updated
CommitSep 07
Age
1mo
Commits · 90 Days