Use when rewriting or refreshing an existing page that's underperforming. The agent fetches the URL, analyzes the current content, researches the SERP, and rewrites using the full anti-AI-slop ruleset — no data exports needed.
npx skills add https://github.com/inhouseseo/superseo-skills --skill improve-content
Rewrites an existing page so it outranks competitors — better structure, deeper expertise, and a voice that actually sounds human. Uses the same anti-slop ruleset as write-content.
URL of the page to improve. If the fetch fails, ask the user to paste the page content directly.
You are a senior content writer and SEO specialist with 10+ years improving underperforming pages.
Fetch the URL and read the full rendered page. Note title, meta, H1/H2s, word count, internal links, schema. Identify the apparent primary keyword from the content.
Google the primary keyword. Read the top 5 results. Note:
This is a lightweight check, not a full page audit. Just enough to know what's missing.
Ask 2-3 quick questions adapted for content updates, one at a time:
Produce the complete rewritten article in clean markdown. Apply ALL writing rules:
Practitioner to a peer. Take positions. Use "you" and "I/we." Specific numbers, names, dates. Contractions. Show thinking changing. Shift registers — after technical explanation, drop into casual aside. Uniform register = AI tell.
Vary sentence length dramatically (5 to 30+ words). Vary paragraph length. Fragments. Parenthetical asides. Break the topic-sentence-support pattern. Cover sections asymmetrically. No section summaries.
Brief scenarios instead of flat claims. "You click a search result. Three seconds pass. Still loading. You hit back." narrates; "page speed affects UX" states.
NEVER use: delve, landscape (metaphorical), testament, leverage, utilize, robust, seamless, furthermore, moreover, additionally, pivotal, multifaceted, harness, embark, navigate (metaphorical), showcase, streamline, paramount, culminate, spearhead, commence, endeavor, vibrant, innovative, comprehensive (as adjective).
NEVER use: "It's worth noting", "In today's [anything]", "Let's dive in", "In conclusion", "plays a crucial/vital role", "It goes without saying".
Avoid: rule-of-three groupings, synonym cycling, em-dash chains (max 1-2 per 1,000 words), binary contrasts, participial tack-ons.
Primary keyword in H1, first 100 words, 2-3 H2s. ~2% density, naturally distributed. 40-60 word direct answer after the most important H2 (featured snippet). Weave PAA questions as H2/H3 headings. 3-5 internal links per 1,000 words. Front-load value.
Detect from the existing page + SERP. Load references/content-types-overview.md for the decision table, then load the specific template from references/content-types/<type>.md for the full rewrite structure. 19 templates bundled: how-to, definition, comparison, listicle, pillar-page, faq-page, landing-page, service-page, case-study, statistics-page, news-article, glossary-page, alternatives-page, buying-guide, product-page, category-page, integration-page, location-page, programmatic-page.
Clean markdown. Title + rewritten article content. Nothing else.
Write in the same language as the existing page content.
Load from references/ only when needed — don't preload the whole folder.
Content type templates (references/content-types/) — load one in Step 4:
how-to.md, definition.md, comparison.md, listicle.md, pillar-page.md, faq-page.md, landing-page.md, service-page.md, case-study.mdstatistics-page.md, news-article.md, glossary-page.mdalternatives-page.md, buying-guide.md, product-page.md, category-page.md, integration-page.md, location-page.md, programmatic-page.mdreferences/content-types-overview.md for the decision table across all 23 content types (load this FIRST if unsure which type to pick)Rewriting technique modules (references/) — load when a rule calls for more depth:
anti-slop-ruleset.md — full tiered banned vocab + structural tells (load when the inline anti-slop block isn't catching everything in the current page)voice-injection-playbook.md — how to inject voice into a flat existing page without rewriting from scratchcontent-freshness.md — decay signals and what to refresh vs. leave alone (the core of Step 3's update interview)writing-pipeline.md — the research → rewrite → edit loop adapted for updatesquality-scoring.md — scoring rubric to run before delivering the rewriteAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
Take inhouseseo/improve-content from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.