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Install in OpenClaw
/install linkedin-automator
Description
Automate LinkedIn content creation, posting, engagement tracking, and audience growth. Use for posting content, scheduling posts, analyzing engagement metric...
README (SKILL.md)
LinkedIn Automator
Automate your LinkedIn presence: post content, track engagement, generate content ideas, and grow your audience.
Prerequisites
- Browser tool enabled in OpenClaw
- LinkedIn logged in via browser (use profile with active LinkedIn session)
Quick Commands
# Post content
{baseDir}/scripts/post.sh "Your post content here"
# Post with image
{baseDir}/scripts/post.sh "Content" --image /path/to/image.png
# Get engagement stats for recent posts
{baseDir}/scripts/analytics.sh
# Generate content ideas based on trending topics
{baseDir}/scripts/ideas.sh [topic]
# Engage with feed (like/comment on relevant posts)
{baseDir}/scripts/engage.sh --limit 10
# Schedule a post (requires OpenClaw cron)
{baseDir}/scripts/schedule.sh "Your content" --time "09:00"
Workflows
Posting Content
Use browser automation to post:
- Navigate to
linkedin.com/feed - Click "Start a post" button
- Enter content in the post editor
- Optionally attach media
- Click "Post" button
For scheduled posts, use OpenClaw cron:
cron add --schedule "0 9 * * 1-5" --payload "Post my LinkedIn content: [content]"
Content Strategy
See references/content-strategy.md for:
- High-engagement post formats and hook templates
- Best posting times by region
- Hashtag strategies (3-5 tags, mix broad + niche)
- The 4-1-1 posting rule
Engagement Automation
See references/engagement.md for:
- Comment templates and reply strategies
- Engagement workflows to grow reach
- Growth tactics and connection request limits
Analytics Tracking
The analytics script extracts:
- Impressions per post
- Engagement rate (likes + comments + shares / impressions)
- Profile views trend
- Follower growth
- Top performing content themes
Browser Selectors
Key LinkedIn selectors (as of 2026):
Post button: button[aria-label="Start a post"]
Post editor: div.ql-editor[data-placeholder]
Submit post: button.share-actions__primary-action
Like button: button[aria-label*="Like"]
Comment button: button[aria-label*="Comment"]
Profile stats: section.pv-top-card-v2-ctas
Rate Limits
LinkedIn enforces activity limits. Stay under:
- Posts: 2–3 per day max
- Comments: 20–30 per day
- Connection requests: 100 per week
- Profile views: Natural browsing pace only
Troubleshooting
- Login required: Ensure browser profile has an active LinkedIn session
- Rate limited: Reduce activity, wait 24h before resuming
- Selector not found: LinkedIn may have updated UI — check and update selectors
- Post blocked: Review LinkedIn content policies; avoid spam-like patterns
Usage Guidance
This skill appears internally consistent with its LinkedIn automation purpose. Before installing, be aware: (1) it requires the agent's browser tool and an active LinkedIn login — granting browser access lets the skill interact with your logged-in session and upload local images; only enable it if you trust the skill. (2) The automation patterns (mass commenting, engagement pods, scheduling) can trigger LinkedIn rate limits or violate LinkedIn policies and could lead to account restrictions — use conservative rate limits and review comment templates. (3) Review the bundled scripts (post.sh, engage.sh, etc.) yourself to confirm they only instruct browser actions you expect. (4) If you are concerned about autonomous actions, prefer manual/user-invoked use or disable autonomous invocation for this skill where your platform permits.
Capability Analysis
Type: OpenClaw Skill
Name: linkedin-automator
Version: 1.1.0
The 'linkedin-automator' skill bundle provides a set of shell scripts and markdown instructions designed to guide an AI agent in automating LinkedIn activities such as posting, engagement, and analytics via a browser tool. The scripts (e.g., post.sh, analytics.sh, and schedule.sh) function as instruction generators for the agent rather than executing direct attacks or hidden payloads. The bundle includes comprehensive documentation on LinkedIn strategy and explicitly warns about platform rate limits. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the requested browser permissions are strictly necessary for the stated functionality.
Capability Assessment
Purpose & Capability
Name/description match the delivered artifacts: scripts and documentation all focus on posting, scheduling, engagement, idea generation, and analytics on LinkedIn. Required tools (browser + logged-in session) are exactly what is needed; no unrelated credentials or services are requested.
Instruction Scope
SKILL.md and the included shell scripts consistently instruct the agent to use browser automation to navigate linkedin.com, interact with UI selectors, and optionally upload local images or schedule cron jobs. The instructions do not ask the agent to read unrelated system files or export data to external endpoints beyond LinkedIn. They do include engagement templates and pod tactics (which are part of the stated growth purpose) — this is scope-consistent but operationally sensitive (may violate platform rules).
Install Mechanism
No install spec; skill is instruction-only with bundled scripts. Nothing is downloaded from external URLs and there are no extract/install steps, so there is low filesystem/install risk.
Credentials
The skill requests no environment variables, credentials, or config paths. It requires a browser session with LinkedIn logged in, which is proportionate for browser-driven automation. Scripts may reference local image file paths and a content calendar (expected and reasonable).
Persistence & Privilege
Flags show always: false and normal autonomous invocation allowed. The skill does not request permanent platform-wide privileges, nor does it modify other skills or system settings. Scheduling uses the platform's cron tool as documented (no hidden persistence).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install linkedin-automator - After installation, invoke the skill by name or use
/linkedin-automator - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
Improved SKILL.md: cleaner frontmatter, fixed metadata format, added engagement reference links, rate limit docs
Metadata
Frequently Asked Questions
What is LinkedIn Automator?
Automate LinkedIn content creation, posting, engagement tracking, and audience growth. Use for posting content, scheduling posts, analyzing engagement metric... It is an AI Agent Skill for Claude Code / OpenClaw, with 179 downloads so far.
How do I install LinkedIn Automator?
Run "/install linkedin-automator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is LinkedIn Automator free?
Yes, LinkedIn Automator is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does LinkedIn Automator support?
LinkedIn Automator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created LinkedIn Automator?
It is built and maintained by mpbshhx (@mpbshhx); the current version is v1.1.0.
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