Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
This collection of skills helps content marketers manage their professional presence by structuring the transition from a theme to a published post. It provides tools to generate weekly content plans, extract hook formulas from successful posts, and refine drafts by removing common AI markers.
The system includes an auditing layer based on algorithm heuristics to evaluate post viability and integrates with the Publora API to handle the final publishing of approved content.
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Use the linkedin-hook-extractor skill to analyze [LinkedIn post URL]. Identify the hook formula, explain its structure and why it worked, and return a blank template for [my topic]. If automatic fetching is unavailable, ask me to paste the post text. Do not publish anything.
Relevant comment-thread text if automatic fetching is unavailable
Use the linkedin-reply-handler skill in single-comment mode to draft replies for [LinkedIn comment URL]. Return 1–2 reply options, a reaction suggestion, and a short thread-context summary. Stop before approval or publishing; if automatic fetching is unavailable, ask me to paste the relevant comment thread.
Claude
Codex
Cursor
OpenClaw
Hermes
Cline