Plan, draft, audit, and publish LinkedIn posts and comments. Use when the user wants to write a viral LinkedIn post, draft a comment or reply on any LinkedIn post URL, audit a draft against 2026 algorithm heuristics, remove AI tells, extract hook formulas from viral posts, or plan a week of content. Powered by the Publora API for publishing. User provides post/comment URLs, skill drafts content, user approves, then publishes.
Add this skill
npx mdskills install sergebulaev/linkedin-skills@sergebulaev? Sign in with GitHub to claim this listing.Comprehensive LinkedIn workflow bundle with clear voice rules, multi-tier setup, and solid draft-approval pattern
11 skills that help Claude Code and Codex write LinkedIn posts, comments, and replies in your voice. They draft content, strip AI tells, and wait for your approval before anything gets published. No coding required.
Pick whichever way you use Claude Code or Codex:
codex plugin marketplace add sergebulaev/linkedin-skills
codex plugin add linkedin-skills@linkedin-skills
To test a local clone before publishing changes:
git clone https://github.com/sergebulaev/linkedin-skills.git
cd linkedin-skills
codex plugin marketplace add .
codex plugin add linkedin-skills@linkedin-skills
sergebulaev/linkedin-skillssergebulaev/linkedin-skillsgit clone https://github.com/sergebulaev/linkedin-skills.git
You have LinkedIn marketing skills in ./linkedin-skills/.
For any LinkedIn task, read the relevant skills/*/SKILL.md first.
Use lib/url_parser.py for URL parsing,
lib/apify_client.py for reading posts / comments / engagers,
lib/publora_client.py for publishing actions.
/plugin marketplace add sergebulaev/linkedin-skills
/plugin install linkedin-skills@linkedin-skills
Or clone the repo and open it as your working directory:
git clone https://github.com/sergebulaev/linkedin-skills.git
cd linkedin-skills
Hermes Agent (Nous Research) follows the agentskills.io open standard and loads skills/*/SKILL.md directly. Clone the bundle into your Hermes skills folder:
git clone https://github.com/sergebulaev/linkedin-skills.git ~/.hermes/skills/linkedin-skills
Coming from OpenClaw? hermes claw migrate imports these skills automatically. Then call / from any of your Hermes chat surfaces.
One command that works across Claude Code, Codex, Cursor, and any other agent that reads SKILL.md files:
npx skills add sergebulaev/linkedin-skills
Once installed, just ask Claude Code or Codex for help with LinkedIn. The right skill activates automatically.
Write a post:
"Write me a LinkedIn post about why AI agencies are replacing traditional ones. Make it viral."
Comment on someone's post:
"Comment on this post: https://linkedin.com/posts/... — I want to add a thoughtful take."
Check a draft before publishing:
"Audit this post draft for AI tells and algorithm issues: [paste your text]"
Reverse-engineer a viral post:
"What hook formula does this post use? https://linkedin.com/posts/..."
Plan your week:
"Create a 7-day LinkedIn content plan. I'm a B2B SaaS founder targeting VPs of Marketing."
Rewrite your profile:
"Optimize my LinkedIn profile for inbound leads: https://linkedin.com/in/yourname"
Remove AI tells from any text:
"Humanize this text: [paste AI-generated draft]"
Every skill shows you a draft first and waits for your OK before doing anything. Nothing gets posted without your approval.
| Skill | What it does |
|---|---|
| Post Writer | Drafts viral-ready posts using 16 proven 2026 hook formulas (anaphora, R.I.P. obituary, year-over-year pivot, curiosity gap, emotional cold-open, named-gratitude, and 10 more), picked by engagement goal |
| Comment Drafter | Drafts a comment on any LinkedIn post from its URL |
| Reply Handler | Drafts a reply to any comment, correctly handling LinkedIn's 2-level thread flattening |
| Post Audit | Checks your draft against 2026 algorithm rules and AI-detection patterns before you publish |
| Humanizer | Strips em dashes, AI vocabulary ("leverage", "delve", "harness"), rule-of-three lists, and other AI fingerprints. Bundles three sub-tools: AI-emoji density scorer, multi-detector spread tester (GPTZero, Originality.ai, ZeroGPT, Sapling, Copyleaks), and a rule-explainer reference for defending stylistic choices. |
| Hook Extractor | Reverse-engineers the hook formula from any viral post. Returns a blank template you can fill with your own topic |
| Content Planner | Creates a 7-day plan with daily post topics, formats, hooks, posting times, and comment targets |
| Engagement Monitor | Two read-side workflows: (1) tracks your comment threads for author replies and drafts follow-ups in the 6-24h window; (2) pulls likers and commenters on any post and groups them by ICP fit (peer / aspirational / prospect). |
| Profile Optimizer | Rewrites your headline, About section, Featured section, and Experience for 2026 conversion patterns |
| Employee Advocacy | Plans a team LinkedIn program: 14-day launch, posting cadence, brand governance, ROI tracking |
| Repurposer | Turns content from another platform (tweet, thread, YouTube video, blog, newsletter) into a native LinkedIn post: re-hooks for the fold, expands to the 900-1300 char sweet spot, moves links to the first comment, runs the humanizer |
Four of the skills (Comment Drafter, Reply Handler, Hook Extractor, Engagement Monitor) can read post bodies, comment threads, your own recent comments, and the people who liked or commented on any post. Without an Apify token they fall back to asking you to paste the relevant text. With one, they fetch automatically.
Apify free tier ships with $5/month of credit, which goes a long way at $1-$5 per 1,000 results. The skills use four no-cookies actors:
| Use case | Actor | Cost |
|---|---|---|
| Post body by URL | supreme_coder/linkedin-post | $1 / 1,000 |
| Comments + replies on a post | apimaestro/linkedin-post-comments-replies-engagements-scraper-no-cookies | $5 / 1,000 |
| Your own recent comments | apimaestro/linkedin-profile-comments | $5 / 1,000 |
| Likers + commenters on any post | scraping_solutions/linkedin-posts-engagers-likers-and-commenters-no-cookies | $5 / 1,000 |
Setup: drop APIFY_TOKEN=apify_api_... into your .env. The thin client at lib/apify_client.py exposes fetch_post, fetch_post_comments, fetch_user_recent_comments, and fetch_post_engagers.
A typical creator running daily comment ops + a weekly engager-analytics sweep stays under $2/month, well inside the free tier.
By default, skills draft content for you to copy-paste into LinkedIn. If you want Claude Code or Codex to publish directly to your LinkedIn (and optionally to X, Threads, Instagram), connect Publora. It takes about 2 minutes.
Publora is a publishing API that handles LinkedIn's quirks (3 different URL formats, reaction type mismatches, thread flattening bugs). The free tier gives you 15 posts/month.
Step 1. Sign up at https://app.publora.com/signup (free)
Step 2. Connect LinkedIn: click Channels in the left sidebar, then Add Channel, pick LinkedIn, authorize.
Step 3. Find your Platform ID: go to Channels, click your LinkedIn account. The ID looks like linkedin-ABC123DEF. Copy the whole thing including linkedin-.
Step 4. Get your API key: click Settings (gear icon, bottom-left), then API, then Create Key. Copy the sk_... string.
Step 5. Create a file called .env in the linkedin-skills folder:
PUBLORA_API_KEY=sk_paste_your_key_here
LINKEDIN_PLATFORM_ID=linkedin-paste_your_id_here
If you cloned the repo, you can copy the template instead:
cp .env.example .env
Then open .env and replace the placeholders with your real values.
Step 6. Install two small Python packages:
pip install requests python-dotenv
Step 7. Test it. Ask Claude Code or Codex:
"Schedule a test LinkedIn post via Publora 24 hours from now: 'testing the API connection — will cancel in dashboard'."
If Publora returns a scheduled-post ID, you're set. Cancel the post in the Publora dashboard before the scheduled time. If you get HTTP 401, your API key is wrong. If you get HTTP 400 about a missing platformId, your LINKEDIN_PLATFORM_ID isn't set. See Troubleshooting.
Every skill follows these rules automatically:
| Problem | Fix |
|---|---|
| Skills don't activate when I ask about LinkedIn | Make sure you installed via the Skills panel, /plugin install, or codex plugin add. Try starting a new conversation. |
| "Publora API key not provided" | Your .env file is missing or in the wrong folder. It should be in the linkedin-skills/ root. |
| "401 Unauthorized" from Publora | Your API key expired. Go to Publora Settings > API > Create a new key. |
| "404 on comment/post" | Your LINKEDIN_PLATFORM_ID is wrong. Go to Publora Channels and copy the full linkedin-... string. |
| "400 reactionType" error | Known Publora quirk. The skills handle this automatically. If you're calling the API manually, use PRAISE (not CELEBRATE), INTEREST (not INSIGHTFUL). |
pip install fails | Use a virtual environment: python -m venv venv && source venv/bin/activate && pip install requests python-dotenv |
references/industry-benchmarks.md — engagement rates, time-per-post, reach multipliers across industriesreferences/engagement-metrics-taxonomy.md — what to measure at post / account / team / business levelFor developers: runtime compatibility, URL parsing, and internals
linkedin-skills/
├── skills/ ← SKILL.md frontmatter; native to Claude Code and Codex, others read as markdown
├── .codex-marketplace/ ← generated nested Codex package (run scripts/sync_codex_marketplace.py)
├── lib/ ← pure Python, works in any agent runtime
├── references/ ← pure markdown, works anywhere
└── scripts/ ← pure Python CLI, works anywhere
| Runtime | Auto-discovers skills? | Setup |
|---|---|---|
| Claude Code (CLI, Desktop, Web, IDE) | Yes | Install via plugin or clone. Skills activate on matching prompts. |
| Codex CLI | Yes | Install via codex plugin marketplace add sergebulaev/linkedin-skills and codex plugin add linkedin-skills@linkedin-skills. |
Anthropic Managed Agents (/v1/agents) | Yes | Pass skill files in the agent context. |
| OpenClaw | Manual | Mount the repo, add system prompt pointing to skills/*/SKILL.md. |
| Cursor / Cline / Aider | Manual | Read SKILL.md files as prompt context; import lib/ as Python. |
| Manus | No | Upload references/ as knowledge base. Call Publora API directly. |
| LangChain / AutoGen | No | Use lib/ as a package; feed references/ as prompt context. |
git clone git@github.com:sergebulaev/linkedin-skills.git
# Add to OpenClaw system prompt:
# "You have LinkedIn marketing skills in ./linkedin-skills/.
# Read the relevant skills/*/SKILL.md before any LinkedIn task.
# Use lib/url_parser.py for URL parsing,
# lib/apify_client.py for reading posts / comments / engagers,
# lib/publora_client.py for publishing."
import sys; sys.path.insert(0, "path/to/linkedin-skills")
from lib import parse_linkedin_url, PubloraClient, ApifyClient
parsed = parse_linkedin_url("https://www.linkedin.com/posts/slug-activity-7448808898326654978-iW20")
print(parsed["post_urn"]) # urn:li:activity:7448808898326654978
# Read side (Apify)
apify = ApifyClient() # reads APIFY_TOKEN from env
post = apify.fetch_post(post_url="https://www.linkedin.com/posts/...")
engagers = apify.fetch_post_engagers(post_url="https://www.linkedin.com/posts/...", max_items=50)
# Write side (Publora)
client = PubloraClient() # reads PUBLORA_API_KEY from env
client.create_comment(post_urn=parsed["post_urn"], message="draft", platform_id="linkedin-xxx")
LinkedIn has three post URN types. The lib/url_parser.py handles all of them:
| URL fragment | URN |
|---|---|
/posts/slug-activity-7448... | urn:li:activity:7448... |
/posts/slug-share-7449... | urn:li:share:7449... |
/feed/update/urn:li:ugcPost:7447... | urn:li:ugcPost:7447... |
Comment URLs include a commentUrn query param. The parser extracts both post_urn and comment_id.
LinkedIn flattens reply threads to 2 levels. When replying to a reply, parentComment must point to the top-level comment URN, not the reply's URN. The linkedin-reply-handler skill handles this correctly.
python lib/url_parser.py "https://www.linkedin.com/posts/_activity-"
MIT. Powered by Publora.
Part of a family of AI social-media marketing skill bundles for Claude Code and Codex:
Also: Anthropic Skills repo, the awesome-claude-skills directory.
Install via CLI
npx mdskills install sergebulaev/linkedin-skillsLinkedin Marketing is a free, open-source AI agent skill. Plan, draft, audit, and publish LinkedIn posts and comments. Use when the user wants to write a viral LinkedIn post, draft a comment or reply on any LinkedIn post URL, audit a draft against 2026 algorithm heuristics, remove AI tells, extract hook formulas from viral posts, or plan a week of content. Powered by the Publora API for publishing. User provides post/comment URLs, skill drafts content, user approves, then publishes.
Install Linkedin Marketing with a single command:
npx mdskills install sergebulaev/linkedin-skillsThis downloads the skill files into your project and your AI agent picks them up automatically.
Linkedin Marketing works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.