GitHub Copilot Technical Writing Skill
Copilot skill wrapping Google's writing course, but it's just a prompt config.
Repository for my AI agent skills
Academic taxonomy beats generic 'make this punchy' prompts any day.
Technical writers, engineers, and product managers
Grammarly · Hemingway Editor · ProWritingAid
I wanted to ensure that my writing was captivating and that the audience didn't just read the summary and skip the rest.
I used a chat agent to build a research report on the academic literature about what makes writing boring or not-boring ("not-boring" is NOT the same thing as "interesting"). I synthesized that into a taxonomy, and built tooling for mechanistic analysis and prompts for LLM analysis, synthesis and recommendation.
What this is: research-grounded analysis of a document with concrete evidence-based suggestions of how to improve it.
What this is NOT: it's not a simplistic prompt "Help me make my document better" or even "make every section/paragraph/sentence earn its place". (I am developing a separate skill for that in the same repo, but with a much more diligent approach).
I hope this helps you improve your own writing and effectiveness in business communication.
Copilot skill wrapping Google's writing course, but it's just a prompt config.
Naur's 1985 theory applied to AI agents, but it's just a prompt template.
Deterministic writing quality scores without LLMs, plus MCP server integration for AI workflows.
Market-rank scoring beats generic ATS keyword checkers like Jobscan.
Three practical Claude skills — /hn-score, /hn-spin, and /hn-optimize — bundle headline angles, timing advice, and an 87-point scorecard driven by a 157K-post dataset and a reverse-engineered HN ranking formula. The repo's real cleverness is the HN-specific heuristics (penalty multipliers, flamewar detection, domain performance stats) turned into actionable prompts, not merely another headline generator. It's an MVP that rewards anyone who actually runs Claude and wants data-backed posting playbooks, though it needs more launch-day case studies to prove the claims.
Android grounding gate verifies docs live so AI doesn't hallucinate APIs.