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 skill processes unstructured data from call transcripts, emails, and voice memos to extract actionable intelligence. It identifies decisions, separates action items by owner, and isolates bug reports or feature requests from raw conversations.
Designed for those managing high volumes of client and partner communication, it routes extracted data to GitHub issues or personal knowledge vaults and drafts replies based on the processed input.
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.
Replace <option A> and <option B> with the alternatives being considered.
Replace the stakes, reversibility, deadline, and context placeholders with the decision's actual details.
Check the repository for this skill’s setup.
Use the decide skill to help me choose between <option A> and <option B>. The stakes are <low, medium, or high>, reversibility is <easy, hard, or one-way>, the deadline is <date or open>, and the relevant context is: <1–3 sentences>.
Replace <paste the content here> with terminal output or other text that should be reformatted.
If the skill detects a possible secret, choose whether to continue, replace it with [REDACTED], or abort.
Check the repository for this skill’s setup.
Use the paste skill to clean and format the following content for Slack, scanning it for secrets before copying it and showing me a preview: <paste the content here>.
Replace <paste the book text here> with the text to summarize.
Check the repository for this skill’s setup.
Use the read-book skill in summary mode on the pasted text below. Give me the whole-book TL;DR, 3–5 key takeaways, and who it is for: <paste the book text here>.
Claude
Codex
Cursor
Gemini CLI
Hermes