LinkedIn Post

Content toolkit for drafting, editing, optimizing, scheduling, and managing LinkedIn posts from the command line. Generate hashtags, craft hooks, write CTAs, rewrite content, translate text, adjust tone, create headlines, and build outlines — all with timestamped logging and full export capabilities.

Commands

How Data Commands Work

Each content command (draft, edit, optimize, schedule, hashtags, hooks, cta, rewrite, translate, tone, headline, outline) operates in two modes:

• - With arguments — saves a timestamped entry (YYYY-MM-DD HH:MM|value) to the command's .log file and records the action in INLINECODE21
• Without arguments — displays the 20 most recent entries from that command's log file

Utility Commands

• - stats — iterates all .log files in the data directory, counts entries per category, and shows total count, disk usage, and earliest activity timestamp
• export <fmt> — exports all log data into json, csv, or txt format, saved to ~/.local/share/linkedin-post/export.<fmt>. Reports output file path and byte count.
• search <term> — performs case-insensitive search across all log files, grouped by category
• recent — shows the last 20 lines from INLINECODE29
• status — health check displaying version, data directory, total entry count, disk usage, last activity, and OK status

Data Storage

All data is stored in ~/.local/share/linkedin-post/:

• - Each command has its own log file (e.g., draft.log, edit.log, hashtags.log, hooks.log, etc.)
• INLINECODE35 — centralized activity log recording every command invocation
• Export files saved as export.json, export.csv, or INLINECODE38
• Entries use pipe-delimited format: INLINECODE39

Requirements

• - Bash (with set -euo pipefail)
• Standard Unix utilities: date, wc, du, head, tail, grep, INLINECODE47
• No external dependencies or API keys required

When to Use

1. 1. Drafting LinkedIn posts — use linkedin-post draft to capture post ideas and first drafts as they come to you
2. Crafting engaging hooks — log attention-grabbing opening lines with linkedin-post hooks and iterate until you find the best one
3. Managing hashtag strategy — track and organize hashtag sets with linkedin-post hashtags for consistent post tagging
4. Scheduling content calendars — use linkedin-post schedule to plan when posts go live and maintain a publishing cadence
5. Iterating on post quality — use linkedin-post rewrite, linkedin-post tone, and linkedin-post optimize to refine content through multiple revisions

Examples

CODEBLOCK0

LinkedIn Best Practices

• - First 3 lines are everything — the "see more" hook determines whether people engage
• Dwell time matters — longer posts that keep people reading get boosted by the algorithm
• Comments > Reactions — posts with comments rank higher than those with just likes
• Avoid external links in post body — put URLs in the first comment instead
• Carousel posts get 1.5–2× more reach than text-only posts
• Use linkedin-post hooks to iterate on your opening lines before publishing

Tips

• - Run linkedin-post help to see all available commands
• Call any command without arguments to review recent entries for that category
• Use linkedin-post search <term> to find entries across all log files
• Export data regularly with linkedin-post export json for backups
• Combine draft → hooks → hashtags → cta → optimize as a content creation pipeline
• All data lives in ~/.local/share/linkedin-post/ — easy to back up or sync