When the user wants to optimize for Featured Snippets, Position Zero, or snippet extraction. Also use when the user mentions "featured snippet," "position zero," "snippet optimization," "answer box," "definition box," "list snippet," "table snippet," "paragraph snippet," "PAA optimization," or "win position zero." For schema, use schema-markup. For step-by-step HowTo sections (lists, copy), use howto-section-generator.
npx skills add https://github.com/kostja94/marketing-skills --skill featured-snippet
Guides optimization for Featured Snippets (Position Zero)—direct answers displayed above organic results. Featured snippets appear on ~19% of queries; by 2025, AI Overviews replaced many, but snippet optimization still supports AI citation and PAA. See serp-features for full SERP context.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Not the same. Featured snippets pull a direct passage from a single webpage. AI Overviews generate multi-source summaries using AI. When both appear, featured snippets still occupy a highly visible spot. Not every query triggers AI Overview—snippet optimization remains valuable. Semrush
| Format | Share | Use | Optimization |
|--------|-------|-----|---------------|
| Paragraph | ~70% | Definition, "what is," "why" | 40–60 words; direct answer after H2 |
| List | ~19% | How-to, steps, options | <ol> or <ul>; semantic HTML |
| Table | ~6% | Comparisons, stats, specs | Clear headers; target keywords in column/row headers |
| Video | Rare | Visual how-to | Video schema; timestamps/chapters; see video-optimization |
45 words is the most common paragraph length. Answer-first format is critical. On mobile, featured snippets can occupy ~50% of the screen, pushing competitors below the fold. Semrush
<ol>, <ul>, <table>, <p>—avoid divs styled as lists| Element | Use |
|---------|-----|
| H2/H3 | Question or topic; Google recognizes and extracts; list snippets can be compiled from headings across the page—Google pulls H2s and converts to list items |
| <ol> | Steps, rankings, sequences; list snippets |
| <ul> | Non-sequential items; bullet snippets |
| <table> | Comparisons, specs; table snippets; clean rows/columns; H2/H3 intro; target keywords in heading and surrounding content; ensure data is relevant and scannable |
| First paragraph | 40–60 words; direct answer |
Annotations matter: Search engines use semantic labeling to identify relevant blocks ("Fraggles") and extract passages. Structure pages clearly—headings, lists, tables—so crawlers can annotate and pull the right content. Annotations can suggest relationships between blocks, enabling engines to stitch text from multiple parts. SEJ / Bing
| Factor | Guidance |
|--------|-----------|
| Query types | "How," "what," "why" questions; definitional queries |
| Long-tail | Featured snippets typically appear for long-tail (specific) queries; short-tail is broad and less likely |
| Ranking position | Target positions 2–5; snippet ownership often comes from these (not always #1). Prerequisite: Must rank in top ~20 blue links to be considered; Q&A runs through top organic results |
| Q&A memory | Bing (and likely Google) memorize results; you may retain snippet even if blue link ranking drops—once earned, you don't necessarily need to maintain position |
| Intent | Informational; match user intent precisely |
| Tools | PAA (excellent for low-volume, snippet-triggering queries), AnswerThePublic, AlsoAsked, Semrush Keyword Magic Tool (SERP features filter: "Featured snippet") |
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take kostja94/featured-snippet 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.