Claude Skills by naveedharri

Run deep, internet-enabled research on any topic to gather the raw material for content. First step of the content pipeline that feeds /linkedin and /newsletter. Automates prompt enhancement through clarifying questions, saves parameters for reproducibility, and executes web-enabled deep research via the OpenAI Deep Research API. Use when the user asks to research a topic, gather sources, investigate a subject, or build the foundation for a post or newsletter.

Audit a CLAUDE.md or skill file for rules written for older Claude models and rewrite them for the Claude 5 generation. Finds one-sided rules, bare prohibitions, retired instructions, and aggressive language, then rewrites each into judgment plus the reason, or flags it for deletion. Use when the user says "rewrite my rules", "audit my CLAUDE.md", "fix my claude md", "rule rewriter", "my skills feel too strict", or after upgrading to a Claude 5 model.

Analyze sales call recordings and transcripts to grade rep performance across discovery, demo, objection handling, rapport, and close, each grade backed by verbatim quotes from the full transcript, with coaching on what to improve. Produces evidence-based scorecards and improvement plans, never opinions without quotes. Use when the user says "score my sales call", "analyze my call with [name]", "how did I do on that call", "grade my discovery calls", "sales call scoring", or wants rep perform...

Scans the user's actual hardware and tells them exactly which local AI models they can run, by name, with expected speed. Use when the user asks "what models can my computer run", "can I run a local LLM", "how much VRAM do I have", "which model should I download", "is my Mac good enough for local AI", "scan my machine", or shares hardware specs and asks what fits. Reads real memory and GPU rather than asking the user to know their own specs. Never installs anything. Requires Claude Code with ...

Generate SEO-optimized competitor comparison and alternatives pages. Covers "X vs Y" layouts, "alternatives to X" pages, feature matrices, schema markup, and conversion optimization. Use when user says "comparison page", "vs page", "alternatives page", "competitor comparison", "X vs Y", "best tools", or "competitor content".

Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", "content audit", "AI citation", or "GEO content".

Optimize content for AI Overviews, ChatGPT web search, Perplexity, and other AI-powered search experiences. GEO analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", "AI visibility", or "llms.txt".

Hreflang and international SEO audit, validation, and generation. Detects common mistakes, validates language/region codes, and generates correct hreflang implementations for HTML, HTTP headers, and XML sitemaps. Use when user says "hreflang", "i18n SEO", "international SEO", "multi-language", "multi-region", "language tags", or "hreflang validation".

Image optimization analysis for SEO and performance — checks alt text, file sizes, formats, responsive images, lazy loading, CLS prevention, fetchpriority, filenames, and CDN usage. Use when user says "image optimization", "alt text", "image SEO", "image audit", "optimize images", "lazy loading", "WebP", or "CLS images".

GSC data-driven SEO optimization. Connects to Google Search Console (API, browser, or CSV), pulls search performance data, runs 8 analysis types (striking distance, low-CTR, declining pages, content gaps, cannibalization, quick wins, top performers at risk, device/geo gaps), prioritizes findings, and executes optimizations. Use when user says "optimize SEO", "GSC", "Google Search Console", "search performance", "CTR optimization", "keyword cannibalization", "striking distance", "declining pag...

Deep single-page SEO analysis covering on-page elements, content quality, technical meta tags, schema, images, and performance. Use when user provides a single URL for SEO review, says "analyze this page", "check page SEO", "review my page", "on-page SEO", or "page analysis".

Strategic SEO planning for new or existing websites. Industry-specific templates, competitive analysis, content strategy, and implementation roadmap. Use when user says "SEO plan", "SEO strategy", "content strategy", "site architecture", "SEO roadmap", or "content calendar".

Programmatic SEO planning and analysis for pages generated at scale from data sources. Covers template engines, URL patterns, internal linking automation, thin content safeguards, and index bloat prevention. Use when user says "programmatic SEO", "pages at scale", "dynamic pages", "template pages", "generated pages", "data-driven SEO", "thin content", or "index bloat".

Detect, validate, and generate Schema.org structured data (JSON-LD preferred). Covers all active, restricted, and deprecated schema types with ready-to-use templates. Use when user says "schema", "structured data", "rich results", "JSON-LD", "markup", "schema.org", "add schema", or "generate JSON-LD".

Analyze existing XML sitemaps or generate new ones with industry templates. Validates format, URLs, and structure. Supports sitemap index files and content-type splitting. Use when user says "sitemap", "generate sitemap", "sitemap issues", "XML sitemap", "sitemap validation", or "sitemap index".

Technical SEO audit across 9 categories — crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, JavaScript rendering, and IndexNow. Use when user says "technical SEO", "crawl issues", "robots.txt", "Core Web Vitals", "site speed", "security headers", "indexability", "JS rendering", or "mobile SEO".

Comprehensive SEO toolkit — full site audits, single-page analysis, technical SEO (crawlability, Core Web Vitals), schema markup, E-E-A-T content quality, image optimization, sitemap analysis, GEO for AI Overviews/ChatGPT/Perplexity, programmatic SEO, competitor pages, hreflang, and GSC data-driven optimization. Use when user invokes /seo, wants a full website SEO audit, or asks about SEO capabilities.

Interactive onboarding wizard that gets a user fully set up to run the post-disco-followup skill on their own business, whatever they sell. It first gauges what they already have (an existing proposal template, email template, or documented sales process) and builds around that instead of imposing a template. It checks their stack (meeting notetaker, email, proposal platform, CRM) and recommends connecting anything missing, asks where the proposal sits in their sales process (sent right after...

Bootstrap a second-brain structure inside a Baalda vault and run personalized onboarding. Creates all directories, system files, per-folder routing indexes and starter context, then interviews the user to personalize everything. Two modes — Solopreneurs/Professionals (default), Business/Teams. Use when the user says "set up my Baalda vault", "set up my second brain", "bootstrap", "initialize", "onboarding", or runs /setup.

Stand up a self-contained second-brain "OS" that lives entirely inside a Claude skill — a short SKILL.md router plus context files, no vault, cloud, or MCP server. Use when the user says "set up a skill OS", "build my second brain as a skill", "skill OS", or wants the simplest portable AI OS.

Generate a YouTube title shortlist for a new video using two parallel lenses, topic-based and pattern-based. Pulls the LAST 20 to 25 uploads from a locked comp set of competitor channels plus Ben's own channel (recent only, never all-time-popular), clusters them by subject and by structure, weights what is overperforming right now, then produces two labeled angle sets. Reasons about the video first, lets the fresh data reshape the angle, and never forces the topic into an irrelevant template....

Research any topic end to end and get back a fact-checked, branded HTML report plus an agent-readable markdown brief. Use when the user wants to research a topic, do a deep dive, build a research report or briefing, gather evidence before writing a piece of content, understand 'what does the research say / what are people saying about X', or study a subject across papers, forums, YouTube, and vendor/web sources. Fans out parallel sub-agents (one per source type), verifies every hard claim wit...

Turn long-form video into platform-ready clips - LinkedIn posts, TikTok/Reels, teasers, highlight reels - with word-level captions, using FFmpeg and Remotion. USE THIS SKILL WHEN the user wants to repurpose a YouTube video or any long video into social clips, mentions video, clip, footage, mp4, mov, or any video format, wants to cut, stitch, combine, or edit video files, needs captions, subtitles, or TikTok-style word highlighting, wants a teaser, trailer, or highlight reel, asks about video ...

Generate on-brand visuals and infographics for LinkedIn posts and newsletters using Nano Banana MCP (Gemini AI image generation). Final step of the content pipeline. Follows a guided flow: analyze the content, suggest visualizable concepts, propose visualization approaches, then generate on-brand visuals. USE THIS SKILL WHEN user says \"create a visual\", \"make a visual\", \"generate an infographic\", or wants a graphic to go with a post or newsletter.

Build a personal tone-of-voice skill ({name}-voice) for any person from their real writing and speaking corpus. Use this skill whenever someone wants AI to write in their voice, clone their tone, or stop AI outputs from sounding generic - triggers include "build my voice skill", "create a tone of voice skill", "make AI sound like me", "clone my writing style", "voice engine", "my LinkedIn posts don't sound like me", or any request to draft content that should sound like a specific person who ...

Win/loss pattern analysis for B2B sales. Pulls deal data from ANY CRM (Attio, HubSpot, Salesforce, Pipedrive, etc.), enriches with emails, call transcripts (Fireflies/Gong), and web research, then analyzes won vs lost deal patterns to build an ideal prospect persona and strategy recommendations as a .docx report. MANDATORY TRIGGERS: \"win/loss analysis\", \"won vs lost\", \"deal analysis\", \"sales patterns\", \"pipeline analysis\", \"prospect persona\", \"ICP from deals\", \"why deals are lo...

Create a detailed video brief for a new YouTube video through a structured, collaborative process. This is a STEP-BY-STEP, interactive process — never output a complete brief immediately. Each step requires suggestions, user decision, then progression to the next step. USE THIS SKILL WHEN: - User wants to plan a YouTube video - User has a video idea and wants to flesh it out into a brief - User says "video brief", "brief a video", "plan a video" - User mentions "video planning", "video conce...

Create excalidraw visuals specifically designed for YouTube videos — diagrams, process flows, intro slides, and visual aids that will appear on screen during filming. Optimized for 16:9 video format and readability at YouTube resolution. USE THIS SKILL WHEN: - User wants to create visuals for a YouTube video - User says "make the video diagrams", "excalidraw for the video" - User mentions "video visuals", "on-screen graphics", "YouTube excalidraw" - User has a video outline with visual needs...

Generate and evaluate YouTube video ideas based on Ben's content strategy, audience interests, and competitive landscape. This is an interactive brainstorming process that produces ranked, validated video ideas ready for the brief creation phase. USE THIS SKILL WHEN: - User wants video topic ideas - User says "what should I film next", "video ideas", "content calendar" - User mentions "YouTube ideation", "brainstorm topics", "content ideas" - User wants to plan multiple videos ahead of time ...

Create a structured video outline from a video brief. Plans the flow of the video including section structure, demos and examples placement, excalidraw visual needs, and timing estimates. This bridges the brief and the script. USE THIS SKILL WHEN: - User has a video brief and wants to structure the video - User says "outline this video", "video outline", "structure the video" - User mentions "video structure", "section planning", "outline" - User wants to plan what goes where in the video T...

Create optimized YouTube packaging — titles and thumbnail concepts — for maximum click-through rate. Extends the title-generation skill with thumbnail planning, A/B testing suggestions, and packaging strategy aligned with the video brief. USE THIS SKILL WHEN: - User wants title + thumbnail for a video - User says "package this video", "thumbnail ideas", "title and thumbnail" - User mentions "YouTube packaging", "CTR optimization", "video packaging" - User has a video brief and wants to defin...

Create a video script or structured bullet points for filming, based on the video outline. Supports full scripts, teleprompter-ready text, or talking-point bullet lists depending on Ben's preference for each video. USE THIS SKILL WHEN: - User wants to write the script for a video - User says "script this", "write the script", "talking points" - User mentions "video script", "filming notes", "teleprompter" - User has an outline and wants to prepare for filming TRIGGERS: "script", "video scri...

Generate on-brand YouTube thumbnails for Ben van Sprundel using Higgsfield in one shot. Use when the user says create a thumbnail, make a YT thumbnail, thumbnail for video, generate ben thumbnail, variation of last thumbnail, or shares a video concept and asks for a thumbnail. Auto-infers mode from the inputs (variation, new-with-ben, ben-plus-other, no-face), defaults to 3 variants, asks at most one question. On topic-driven runs it first researches what is working in the niche (VidIQ prefer...

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

Stage 2 of the Ben AI publishing chain. Turns one YouTube video title into all six Ben AI UTM tracking links, their Bitly backhalfs, a five-letter campaign code, and a Bitly-ready import CSV saved to Downloads. Needs nothing but the exact title, so it can run while YouTube is still processing the upload. Use whenever someone wants UTM links, tracking links, a campaign code, or Bitly short links for a video, or says "make UTMs for [title]", "create the tracking links", "UTM creator", "what is ...

Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.

Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader...

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

Upgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.

Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.

Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.

Senior UI/UX Engineer. Architect digital interfaces overriding default LLM biases. Enforces metric-based rules, strict component architecture, CSS hardware acceleration, and balanced design engineering.

Cut any video into sentence-aligned clips at silence-midpoint boundaries given approximate target timestamps. Works on YouTube downloads, Loom recordings, uploaded MP4s, recorded calls. Triggers on "cut this video at", "split into sections", "make clips from", "cut at boundaries".

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

Stage 4 of the Ben AI publishing chain. Generates chapters with accurate timestamps and a tag string for a Ben van Sprundel video. Pulls the timestamped transcript out of YouTube through Claude in Chrome, finds where each topic actually starts, names chapters to Ben's measured style, flags every outbound video reference that needs a description link, and builds the tag list from the pattern measured across Ben's last 15 published videos. Needs the video to be Unlisted first, because a Studio ...

Stage 5 and the last stage of the Ben AI publishing chain. Assembles the video description from the canonical template using the video's five-letter code, its chapters, and its referenced-video links, writes the description and the tag string into the YouTube Studio draft through Claude in Chrome, and moves the Notion card to Ready to publish. Leaves the video Unlisted for a person to publish. Use when someone says "write the description", "put the description in", "load the description and t...