# sergebulaev/linkedin-skills

> A bundle of 12 Claude Code and Codex skills for LinkedIn: they draft posts and comments in your voice, strip AI tells, and wait for approval before publishing. Runs from the terminal, no coding required.

- Magnitude: 2.6 out of 10 — Steady
- Stars: 3,974 total · +0 stars on 2026-10-03 (UTC), ≈ 40 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-04-14 · Last push: 2026-09-29
- GitHub: https://github.com/sergebulaev/linkedin-skills · Homepage: https://cccrafts.ai · Page: https://gitnova.dev/en/r/sergebulaev/linkedin-skills

## Useful for

- Draft a post using one of 20 hook formulas matched to a chosen engagement goal
- Audit a finished draft for AI tells and algorithm issues before publishing
- Build a 7-day content plan for a B2B SaaS founder targeting VPs of Marketing

## Why it’s here

- 0 stars so far today, about 40 expected by the end of the day.
- Interest is fading: the two-day pace is 50% of the previous week and a half.
- About 24 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 666
- Issues and pull requests: 55
- Watchers: 21
- Average over the last week: 65 per day
- Usual pace: 102 per day
- Latest release: v1.1.15 (2026-09-29)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-04 … 2026-11-02: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 14 days

09-20 3.2, 09-21 2.8, 09-22 3.5, 09-23 3.9, 09-24 2.7, 09-25 2.5, 09-26 2.4, 09-27 2.5, 09-28 2.7, 09-29 2.8, 09-30 2.7, 10-01 3.0, 10-02 3.1, 10-03 2.6

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-03 00:32 UTC, updated every 30 minutes.