自分が権利を持つ既存noteを診断し、無料記事・有料記事・販売導線・企画再構築のどれが適切かを判断。タイトル、構成、無料・有料ライン、CTAを再設計し、完成稿とX告知まで作ります。
⚠ INDEPENDENT TOOL — NOT AN OFFICIAL CAPAFY PRODUCT. Not operated by, endorsed by, or affiliated with Capafy. You are responsible for reviewing the package contents, credentials, pricing, and final Submit-for-Review details before submitting. This helper wraps the publicly-documented publisher CLI and walks the standard web-form checkpoints via a headless browser, so you can repeat the public submission flow for a local agent skill. Operator approval is required at the pricing and submit gates.
Turns a press release, official announcement, or source article into a publish-ready article while guaranteeing every date, amount, name, and location stays locked to the source — zero fabrication, verified before output.
Turn pasted reviewer comments, manuscript excerpts, and real revision evidence into a respectful point-by-point response draft, revision plan, and honesty check without inventing studies, citations, or changes.
I run an AI-focused Medium blog and built this pipeline from real posts I kept rewriting by hand. It does multi-source research with a checkpoint you approve, an outline checkpoint before drafting, a mandatory humanizer pass (kills em-dashes and AI-tell phrasing), a readability/SEO quality check, plagiarism-prep chunking, and a publish-ready export bundle. You control the pace: allow once, allow always, edit, or send it back for a redo at every step.
Fetches every source your draft cites and grades whether the quote actually says what you claim, catching AI-hallucinated citations before you publish.
Catches cascade failures that partial checks miss — pre-check names the risk before editing, post-check demands evidence values after, then auto-repairs in a loop while rereading the entire file every cycle until zero errors remain.
Catch AI hallucinations before you hit publish. This skill scans articles, blog posts, marketing copy, and AI-drafted text for unsourced stats, vague "studies show" claims, fabricated quotes, and inflated social proof numbers. It flags each claim by risk level and offers three modes: a fast pre-publish scan, a detailed claim-by-claim report, or honest rewrites. Built-in safeguard: it never invents a source or "verified" status to fill a gap — unverifiable stays labeled unverifiable.
I've spent years navigating academic literature across ML, AI, NLP, and quantitative fields. This skill encodes that research workflow searching arXiv, tracking citations via Semantic Scholar, generating BibTeX so you can discover and analyze papers in seconds without needing a single API key