Lockedin Audit
daypunk/LockedIn
Scores any resume or cover letter against LockedIn's calibrated rubric.
Score a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner.
$ npx skills add Jakeschincariol/linkedin-agent-skill --skill li-profile -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Jakeschincariol/linkedin-agent-skill li-profile --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Jakeschincariol/linkedin-agent-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/li-profile .claude/skills/li-profile && rm -rf skills-srcUse ~/.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/
Install the "li-profile" agent skill from https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-profile into .claude/skills/li-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "li-profile", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-profileType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Jakeschincariol/linkedin-agent-skill --skill li-profile -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Jakeschincariol/linkedin-agent-skill li-profile --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jakeschincariol/linkedin-agent-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/li-profile .agents/skills/li-profile && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "li-profile" agent skill from https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-profile into .agents/skills/li-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "li-profile", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Jakeschincariol/linkedin-agent-skill --skill li-profile -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Jakeschincariol/linkedin-agent-skill li-profile --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jakeschincariol/linkedin-agent-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/li-profile .cursor/skills/li-profile && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "li-profile" agent skill from https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-profile into .cursor/skills/li-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "li-profile", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Jakeschincariol/linkedin-agent-skill.git --path skills/li-profile--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Jakeschincariol/linkedin-agent-skill --skill li-profile -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Jakeschincariol/linkedin-agent-skill li-profile --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jakeschincariol/linkedin-agent-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/li-profile .gemini/skills/li-profile && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "li-profile" agent skill from https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-profile into .gemini/skills/li-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "li-profile", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Jakeschincariol/linkedin-agent-skill li-profileInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Jakeschincariol/linkedin-agent-skill --skill li-profile -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Jakeschincariol/linkedin-agent-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/li-profile .github/skills/li-profile && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "li-profile" agent skill from https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-profile into .github/skills/li-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "li-profile", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Jakeschincariol/linkedin-agent-skill --skill li-profile -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Jakeschincariol/linkedin-agent-skill li-profile --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jakeschincariol/linkedin-agent-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/li-profile .opencode/skills/li-profile && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "li-profile" agent skill from https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-profile into .opencode/skills/li-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "li-profile", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
li-profileScore a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner.
Li Profile is an agent skill from Jakeschincariol/linkedin-agent-skill. Score a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner. Use when the user says "optimize my profile", "score my LinkedIn", "rewrite my headline", "fix my about section", or pastes their profile and asks how it reads.
Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `rubric.json`).
It sits in Education, covering Quizzes and assessments and Resume and CV writing. 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.
Read from SKILL.md and the folder at commit add2c23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Li Profile loads about 818 tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 457 words of instructions outside code blocks.
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.
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.
The full file from Jakeschincariol/linkedin-agent-skill at commit add2c23, republished under its MIT licence (© Jakeschincariol). 457 words, ~818 tokens.
.claude/skills/li-profile/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.A profile is not a resume. A resume answers "what have you done". A profile answers "should I message this person", and it answers it in about four seconds, from the headline and the first two lines of the about.
Ask the user to paste: headline, about section, current role and the last two experience entries, plus whether they have a banner and featured section. A screenshot of the top card is enough for the first pass. Do not log into LinkedIn on their behalf.
Read rubric.json in this folder. Twelve items, 100 points, each with what
full marks looks like. Score every item, show the table, and give the total.
Be honest - most profiles land in the 30s and 40s on the first pass, and a
generous score is useless.
PROFILE SCORE 41/100
headline 3/12 job title only, no outcome, no audience
about first 2 lines 2/10 opens with "passionate about"
about body 4/10 history, not offer
featured 0/8 empty
banner 0/6 default blue
...Fix in descending order of points lost. Do not rewrite everything at once - the user has to actually paste each of these in.
1. Headline (220 characters). The formula that works:
{what you do for whom} | {proof} | {how to start}. Not your job title. Not
"Helping X do Y" as the first three words, which every second profile now
opens with. Give three options.
2. About, first two lines. Everything after line 2 is behind "see more" on mobile, so those two lines are the whole about section for most readers. They must state who you help and what changes. No "passionate", no "results-driven", no third-person bio, no opening with your own name.
3. About body. Written to one reader, in the second person. Structure: the problem they have, what you do about it, one piece of proof with a number, what to do next. Under 1,400 characters even though the limit is 2,600.
4. Featured. Three items: the best post, the proof asset, the way to contact. An empty featured section is eight points and the only place on the profile you fully control.
5. Experience. Each role gets one line of scope and two to three bullets that are outcomes with numbers, not duties. Cut anything older than ten years to a single line.
6. Banner. One sentence of positioning and one way to reach you. The default blue gradient is the clearest signal on the page that nobody is home.
Score table, then the rewrites as copy-ready blocks in fix-first order, each
one already run through /li-human. Re-score at the end and show the delta
honestly - if the rewrite gets to 88 and not 98, say 88, and say what the
remaining points need (usually recommendations, a real banner and posting
history, none of which a rewrite can create).
Nothing is saved to LinkedIn by this skill. The user pastes each section in.
© Jakeschincariol, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/li-profile of Jakeschincariol/linkedin-agent-skill.
Open the folder on GitHubat commit add2c23
Li Profile 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Li Profile this skillJakeschincariol/linkedin-agent-skill | 1.7k | — | ~818 | Automated safety check: Pass | MIT | |
| Lockedin Auditdaypunk/LockedIn | 128 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Lockedin Render Resume Endaypunk/LockedIn | 128 | — | ~884 | Automated safety check: Pass | MIT | |
| Scholar Journaljoshzyj/open-scholar-skill | 168 | — | ~15k | Automated safety check: Pass | Custom licence | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 66k | — | ~2k | Automated safety check: Pass | MIT |
daypunk/LockedIn
Scores any resume or cover letter against LockedIn's calibrated rubric.
daypunk/LockedIn
Writes an English resume from the user's experience, tuned to one of 10 built-in personas.
joshzyj/open-scholar-skill
Format, select, and prepare a manuscript for journal submission.
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
rohitg00/ai-engineering-from-scratch
Runs a 10-question quiz across five areas to place a learner in the AI Engineering from Scratch curriculum, so they skip what they already know.
zarazhangrui/codebase-to-course
Turns a codebase into an interactive single-page HTML course for non-technical learners, with scroll modules, animated diagrams, quizzes and plain-English code translations.
Jakeschincariol/linkedin-agent-skill
Post-mortem on what the user has already published - which posts actually worked, why, and what to stop doing.
Jakeschincariol/linkedin-agent-skill
Build a LinkedIn document post (carousel) - slide-by-slide copy, the cover that earns the swipe, and the PDF to upload.
Jakeschincariol/linkedin-agent-skill
Write comments on other people's LinkedIn posts that read as a person with an opinion, not a bot.
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.
Jakeschincariol/linkedin-agent-skill
Strip the machine fingerprint out of any draft - em dashes, AI slop words, invisible watermark characters - and score it against a five-check detection panel before it goes out.
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.
Works with
Categories
Score a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner. Li Profile is an agent skill from Jakeschincariol/linkedin-agent-skill. Score a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner.
Li Profile fits situations like: the user says optimize my profile; score my LinkedIn; rewrite my headline; fix my about section.
Run `npx skills add Jakeschincariol/linkedin-agent-skill --skill li-profile -a claude-code`. Or copy the skill folder (skills/li-profile in Jakeschincariol/linkedin-agent-skill) into .claude/skills/li-profile in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Jakeschincariol/linkedin-agent-skill --skill li-profile -a codex`. Or copy the skill folder (skills/li-profile in Jakeschincariol/linkedin-agent-skill) into .agents/skills/li-profile in your project. Codex loads it when a task matches its description.
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-profile -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-profile, .gemini/skills/li-profile, .github/skills/li-profile and .opencode/skills/li-profile in your project.
SKILL.md names no scripts, command-line tools or credentials: Li Profile is instructions for the agent only.
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.
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.
Li Profile is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 818 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Li Profile: Lockedin Audit (daypunk/LockedIn, 128 stars), Lockedin Render Resume En (daypunk/LockedIn, 128 stars), Scholar Journal (joshzyj/open-scholar-skill, 168 stars) and DeepTutor CLI (HKUDS/DeepTutor, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.