Jakeschincariol/linkedin-agent-skill
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 and scores the draft before it goes out.
⚡ Executive Summary & Quick Facts
Authoritative Sourcelinkedin-agent-skill is linkedin-agent-skill is an open-source project written in Python: 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 and scores the draft before it goes out..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Jakeschincariol/linkedin-agent-skill has accumulated 2,961 GitHub stars and 468 forks. It is written in Python, licensed under MIT, and ranks #4,349 globally. It is actively maintained with the latest commit recorded on Sep 17, 2026.”
| Repository | Jakeschincariol/linkedin-agent-skill ↗ |
|---|---|
| Primary Category | agent skills |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 3K stars · ⑂ 468 forks · #4,349 globally |
| Maintenance | ● Active (Last commit: Sep 17, 2026) · 16 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 92/100 · Grade AYes, linkedin-agent-skill is actively maintained. Continuous telemetry recorded the last code commit on Sep 17, 2026 (57 days ago). Supported by 2,961 stars and 468 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (57 days ago) and healthy issue cadence.
Star History
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+2K
STARS · LAST 30 DAYS
66
PER DAY
#650
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +2K | +5.9K |
| Per day | 1 | 66 | 66 |
| Forks gained | +0 | +315 | +23 |
linkedin-agent-skill gained 2K stars in the last 30 days, about 66 a day, and now has 3K. It is about 1 year old and has averaged roughly 3K stars a year. It ranks #650 among Python repositories and #4,349 across all languages on GitHubRepo.
Trending Record
45
DAYS ON TRENDING
#64
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
linkedin-agent-skill has maintained a continuous presence across global trending indexes, peaking at #64. Below is the 30-day activity profile:
💡 Overview
linkedin-agent-skill is an open-source project written in Python: 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 and scores the draft before it goes out.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai-humanizer, claude. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install linkedin-agent-skill⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
linkedin-agent-skill coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with linkedin-agent-skill.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install linkedin-agent-skill using your package manager: `pip install linkedin-agent-skill`
Initialize your project workspace or configuration file for linkedin-agent-skill.
Import linkedin-agent-skill into your codebase or invoke it directly from your terminal.
Execute your test suite or run `linkedin-agent-skill --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Jakeschincariol/linkedin-agent-skill is currently ranked #4,349 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,343 | ax-llm/ax | TypeScript | ★ 3K | Compare ↗ |
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| #4,346 | MacPaw/OpenAI | Swift | ★ 3K | Compare ↗ |
| #4,346 | derv82/wifit3 | Python | ★ 3K | Compare ↗ |
| #4,349 | Jakeschincariol/linkedin-agent-skill This Project | Python | ★ 3K | |
| #4,349 | 10miaomiao/bilimiao2 | Kotlin | ★ 3K | Compare ↗ |
| #4,349 | OpenMind/OM1 | Go | ★ 3K | Compare ↗ |
| #4,352 | spring-projects/spring-data-elasticsearch | Java | ★ 3K | Compare ↗ |
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| #4,354 | git-ai-project/git-ai | Rust | ★ 3K | Compare ↗ |
Frequently Asked Questions
What does linkedin-agent-skill do? +
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 and scores the draft before it goes out.
Is linkedin-agent-skill actively maintained in 2026? +
Yes, linkedin-agent-skill is actively maintained. The latest code push was recorded on Sep 17, 2026 (57 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 2,961 stars and 16 open issues.
What language is linkedin-agent-skill written in? +
The primary language is Python. Topics include: agent-skills, ai-humanizer, claude, claude-code, claude-skills.
How many stars does linkedin-agent-skill have? +
linkedin-agent-skill has 2,961 stars and 468 forks on GitHub.
How does linkedin-agent-skill rank among GitHub repositories? +
With 2,961 stars, Jakeschincariol/linkedin-agent-skill is ranked #4,349 globally across all repositories tracked on GitHubRepo and #650 among Python projects.
What license is linkedin-agent-skill distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
