Claude Skills by naveedharri

Turn a task you just finished into a small, reliable, single-purpose skill by reverse-engineering the process from the conversation you already had. Also improves or audits an existing skill. Use this AFTER you have done a piece of knowledge work in a chat (research, a draft, an analysis, a prep doc) and want to lock the process in as a skill. Triggers include "build a skill from this", "turn this into a skill", "make a skill out of what we just did", "skill-ify this", "build a skill", "impro...

Repurpose YouTube videos, blog articles, guides, or raw insights into high-performing LinkedIn posts that match Ben Van Sprundel's tone of voice and writing style. A step-by-step, interactive process: never output a complete post immediately. Each step presents suggestions, waits for the user's decision, then advances to the next step. Use when the user shares a YouTube link, blog URL, transcript, document, insight, or idea and wants a LinkedIn post, or asks to repurpose content for LinkedIn...

Draft or judge content in Ben van Sprundel's voice. Use EVERY TIME output is written as Ben or scored against his tone - Circle community replies, LinkedIn posts, newsletters, Slack messages, YouTube scripts, DMs, emails. Triggers include "reply as Ben", "draft in Ben's voice", "Ben voice engine", "judge this draft", "does this sound like Ben". Includes a deterministic red-flag linter plus an LLM rubric judge; every draft must pass before it ships.

Prepare for sales calls and output a live, shareable BenAI-branded dashboard (not a chat brief). Researches every attendee and company via web, Attio CRM, Gmail, and Fireflies, then deploys a neo-brutalist "command center" dashboard to a live URL. Works for one call or a whole day. Trigger with "prep me for my call with [company]", "call prep", "prep all my calls today", "get me ready for [meeting]", or "/call-prep".

Build a Ben AI image-first carousel (Type B) from provided source content and export it as a PDF. Give it a newsletter, a YouTube transcript, a LinkedIn post, or a raw brief; it picks the slide count (3-10), writes the copy in Ben's voice, renders every slide with Higgsfield GPT Image 2, composites the real-logo brand footer in code, and assembles the PDF. Use whenever the user (or an orchestrator/routine) says "build a carousel", "turn this into a carousel", "make a LinkedIn/Instagram carous...

Generates a personalized BenAI x Client one-pager (HTML), deploys it to Vercel, and returns a shareable URL within minutes. Use this skill ANY TIME the user asks to prepare, create, build, make, draft, send, or personalize a one-pager for a sales, discovery, or onboarding call. Also triggers on variations like "prep the one-pager for my call with X", "create a one-pager based on the call with X", "personalize the one-pager from the Fireflies", "make a one-pager for [client] at [price]", or "b...

Set up a Cloud OS — your second brain hosted either in a synced cloud folder (Google Drive, OneDrive, iCloud, Dropbox) or as a Notion workspace. Asks where to host it, then takes the matching route: for a folder it builds the Local OS structure (root CLAUDE.md + Context + Projects/Intelligence/Daily/Resources/Skills, Obsidian-free) and gives provider-specific sync steps; for Notion it builds pages + databases via the connector. Runs the same personalized onboarding either way. Two modes — Sol...

Build and weekly-refresh a branded HTML "Competitor Radar" dashboard that tracks a roster of competitors across YouTube, Instagram, LinkedIn, TikTok, community, and SEO. Use when the user wants to track competitors, monitor competitor socials/engagement/subscribers, build a competitor dashboard, or refresh the weekly competitor report. Gathers real data via connectors (YouTube, Apify, Firecrawl), renders a two-tab (Demo/Actual) dashboard in Ben AI branding, deploys it to a stable Vercel URL v...

Set someone up, from scratch, with their own weekly Competitor Radar dashboard. Use when a user wants to start tracking competitors, build their own competitor dashboard, monitor rivals' socials/SEO/subscribers, or "set me up with something like the competitor radar." Runs an interactive Q&A (niche, competitors, which platforms), can auto-discover and recommend competitors, wires up Apify + Firecrawl connectors, builds a branded HTML dashboard, deploys it to a stable Vercel URL, and schedules...

Generate tailored sales assets (landing pages, decks, one-pagers, workflow demos) from your deal context. Describe your prospect, audience, and goal, get a polished, branded asset ready to share with customers.

Mine high-value prospects from CRM pipeline stages (Lost, No Show, Churned, Stalled) by cross-referencing records with LinkedIn company data and comms history. Connects to any CRM, pulls records from target stages, filters out personal email domains, finds company LinkedIn pages via web research, bulk-scrapes company sizes via Apify, and filters by the user's "high-value" definition (headcount, industry, deal size). Optionally adds intent analysis from emails and transcripts. MANDATORY TRIGGE...

Analyze Fireflies meetings and Circle community posts, for one person, a team, or everything, then produce a weekly or daily Customer Intelligence Report as a BenAI-branded HTML dashboard in the instant-ui design language. Surfaces recurring themes across a trailing window, pain points, technical patterns, and stuck members needing follow-up, each backed by verbatim quotes. Blends both connectors, degrades gracefully if one is down, stores no secrets. Fully data-driven and customizable: sourc...

Produces a complete, Claude-Design-compatible design system folder for any brand, ready to upload to Claude Design's \"Set up your design system\" flow and use across every future asset (websites, landing pages, pitch decks, Instagram/LinkedIn carousels, infographics, emails, ads). Handles two paths: building a brand from scratch (research to synthesis to full system) or extracting the design system from an existing business's shipped assets (website scrape, logos, fonts, past creatives). Use...

Explain a topic like I'm a 5 year old. Use when the user types /eli5 [topic] or asks for a dead-simple picture explainer of how something works.

Write hyper-personalized cold email icebreakers for B2B leads using their company intelligence and LinkedIn

Interactive step-by-step installer for the Google Workspace CLI (gws) on macOS, Linux, WSL, OR native Windows (Git Bash / MINGW64). From a clean machine: detects platform, installs the package manager + Google Cloud SDK + gws CLI, helps accept GCP Terms of Service, creates a GCP project, enables the Workspace APIs the user picks, walks them through the Google Auth Platform consent screen + Desktop OAuth client (handling the multi-account-in-Chrome edge case), launches the OAuth login flow, ve...

Installs and wires up Open WebUI end to end, so a non-technical user gets a working local AI chat in the browser instead of setup instructions. Use when the user says "install Open WebUI", "set up Open WebUI", "get Open WebUI running", "connect Open WebUI to Ollama", "Open WebUI shows no models", "localhost:8080 refused to connect", "does not support tools", or asks for help finishing a local AI setup. Installs Ollama if missing, pulls a model that fits, starts the server, connects them, and ...

Build a BenAI-branded HTML page in the neo-brutalist instant-ui design language (cream background, near-black ink, 3px hard borders, 6px zero-blur shadows, a blue/green/amber gradient stripe, system font plus SF Mono, weight-900 headings). Use for any BenAI landing page, offer, sales, or pricing page, onboarding or intake form, partner page, case study, playbook, toolkit, or internal doc that must look like it came off the same line as the BenAI Champion Offer assets. Reproduces that visual l...

Interview the user one question at a time before starting a big or fuzzy task, then write the brief and execute it. Use when the user says "interview me", "brief me", "help me brief this", "I don't know where to start", or hands over a large task with obvious gaps in the request. Based on the interview pattern Anthropic recommends in the Claude Fable 5 field guide.

Source, qualify, enrich, and research a B2B lead list from an Ideal Customer Profile, end to end. Use this skill whenever the user wants to "find leads", "source prospects", "build a lead list", "get me leads for [ICP]", "scrape leads", "find companies that match", "build a prospect list", "/lead-gen", or describes who they sell to and wants a contactable, qualified list back. It picks the right data source for the ICP (Google Maps for local businesses, Sales Navigator or LinkedIn scrapers fo...

Deep-research lead intelligence gathering for B2B qualified leads. This skill runs in two layers: (1) General Lead Intelligence via web research using parallel sub-agents, and (2) LinkedIn Lead Intelligence via Apify actors for profile and post scraping. Use this skill whenever the user says \"research these leads\", \"get intel on my leads\", \"lead intelligence\", \"lead enrichment\", \"enrich my leads\", \"deep research leads\", \"find out about these companies\", \"LinkedIn scraping\", \"...

Qualify B2B leads against a user-defined Ideal Customer Profile (ICP). Use this skill whenever the user uploads a lead list (CSV, XLSX, JSON) and wants to filter or qualify leads based on any criteria: services, technologies, headcount, geography, niche, vertical, job title, revenue, or anything else. Also trigger when the user says \"qualify leads\", \"filter my leads\", \"which leads match my ICP\", \"score these leads\", \"segment this list\", \"clean up my lead list\", or \"find the best ...

B2B lead generation and research assistant. Use when asked to find leads, build a prospect list, research companies, find LinkedIn contacts, do lead generation, create an ICP, B2B prospecting, company research, LinkedIn scraping, find decision-makers, build a sales list, lead scoring, or export leads to CSV.

Scrape LinkedIn post engagers (commenters + reactors) from any profile or set of profiles, deduplicate them,

Vault-aware LinkedIn writer. Same step-by-step LinkedIn post process as linkedin-writer, but ICP, voice, and offer context come from the vault's Context/ folder instead of being bundled inside the skill. Update one file in the vault and every skill pointing to it inherits the change. TRIGGERS: LinkedIn post, LinkedIn content, repurpose, repurpose for LinkedIn, turn this into a LinkedIn post, write a post, create a post, post about, LinkedIn from YouTube, LinkedIn from blog, LinkedIn from tran...

Repurpose YouTube videos, blog articles, guides, or raw insights into high-performing LinkedIn posts that match Ben's exact tone of voice and writing style. This is a STEP-BY-STEP, interactive process — never output a complete LinkedIn post immediately. Each step requires suggestions, user decision, then progression to the next step. USE THIS SKILL WHEN: - User shares a YouTube link and wants a LinkedIn post - User shares a blog article URL and wants a LinkedIn post - User provides an insigh...

Repurpose research, YouTube videos, blog articles, guides, or raw insights into high-performing LinkedIn posts that match Ben's exact tone of voice and writing style. STEP-BY-STEP and interactive: never output a complete post immediately, and at each step give suggestions, wait for the user's decision, then proceed. Pairs with /research upstream and /visual downstream. Use when the user shares a YouTube link, blog URL, transcript, insight, or idea and wants a LinkedIn post, or says "LinkedIn ...

The one command that takes someone from nothing to a working local AI setup: scans their machine, asks what they want it for, recommends a model and an app, asks Open WebUI or Odysseus when the pick is browser-based, then installs it with their approval. Use when the user says \"set up local AI\", \"help me run AI on my own computer\", \"I want to run AI locally\", \"get me started with local LLMs\", \"run AI offline\", \"private AI on my machine\", \"local AI setup\", or asks how to start wi...

Set up a Local OS — bootstrap a local Obsidian vault as your second brain and run personalized onboarding. Creates all directories, system files, Obsidian config, memory system, hooks, and output styles, then interviews the user to personalize everything. Two modes — Solopreneurs/Professionals (default), Business/Teams. The Local OS tier of the AIOS family (alongside Skill OS and Cloud OS). Use when user says "set up a local OS", "set up my vault", "bootstrap", "initialize", "onboarding", or ...

Produce a Market Intelligence Report — YouTube competitive research, channel analysis, content gap discovery, idea generation, daily scanning, and AI trend scouting — then render it as a BenAI-branded HTML dashboard in the instant-ui design language.

Build and refresh a single-page marketing analytics dashboard (Marketing Pulse) that answers attention, conversion, revenue, and retention every morning, with every number carrying its delta and its source. Two modes: SETUP (first run - interviews for sources like Stripe, YouTube/PostHog, newsletter, community; probes connectors; creates the dashboard folder from the bundled template) and REFRESH (scheduled runs - invoke with a timeframe like 'refresh the marketing dashboard for yesterday' an...

Build an image-first social carousel from an asset already filed in the Marketing OS, export it as a PDF, and record it back as a real channel asset. Brand palette, typography, the logo pointer and the never-black-background rule all resolve from Context/brand/brand-kit.md. Source is a filed newsletter edition, published pillar asset, or pipeline brief, so it provably says what the parent said. Fans out parallel readers over the OS before planning, renders every slide with Higgsfield, QAs eve...

Build, rebuild, and deploy the Marketing OS control center: a self-contained single-page dashboard rendered from the OS files, eleven pages in six nav groups (Core, Calendar, Content, Campaigns, Funnel, Performance, Learnings, Audience, Intelligence, Team, System). Interviews the user on first build to decide which pages earn a place, then reads the OS, assembles one inline JSON data block, swaps it into the fixed page shell, verifies the page opens with no external requests, deploys to a liv...

Run a market intelligence brief against the Marketing OS, score every find, and turn the ones that clear the bar into scored ideas in the backlog. The watchlist, competitor roster, lookback window and connectors all come from the OS, and what counts as a signal comes from the positioning file, so the brief reports the translation gap rather than generic AI news. Fans out one agent per stream in a single batch across official sources, practitioners, the competitor roster, search demand and the...

Write a newsletter edition from the Marketing OS, gated step by step, then file it as a real asset. Reads the ICP, voice register, offer and live price, measured patterns and swipe file from the OS, never from bundled copies. Sources from a pillar asset, the values doc, a community post or a raw idea. Fans out five parallel readers over the OS before the first gate, and verifies the draft with independent agents against the voice register and offer facts. Seven gates with options at each; the...

Answer an open question the Marketing OS already wrote down, then promote it to a finding. Takes its queue from the OS itself: files with status open-question in Intelligence/research/, open questions and untested beliefs in Analytics/what-works.md, and ideas with no established pain. Fans out one agent per stream in a single batch across papers, forums, the web and creators, with an effort floor, distinct sources and full-text reads, fact-checks every hard claim with a verifier prompted to r...

Create and manage the Marketing OS routines as scheduled tasks: ten of them in two groups: five operating routines (morning performance sweep, content pipeline sync, campaign sync, dashboard, monthly report) and five intelligence and review routines (market scan, customer intel, competitor radar, pipeline hygiene, quarterly report). Probes every connector first and reports exactly what each routine loses without it, so nothing gets scheduled against a dead integration. Gives the operator the ...

Set up a Marketing OS: a markdown second brain that becomes the single source of truth every marketing skill reads, plus the routines that keep it current and a control-center dashboard on top. Interview-driven and idempotent, safe to re-run. Builds seven knowledge folders (Context, Channels, Campaigns, Offers, Analytics, Team, Intelligence) plus Routines, writes the Context layer that ends skills carrying their own stale copies of the ICP and offer and voice, scaffolds one folder per publish...

Write newsletters for Ben Van Sprundel from any source — YouTube videos, article URLs, or raw ideas/insights. Use this skill EVERY TIME the user says they want to write a newsletter, create a newsletter, draft a newsletter, turn something into a newsletter, repurpose content for a newsletter, write an email issue, or any variation of newsletter writing. Also trigger when the user shares a YouTube URL or article URL alongside any mention of email or newsletter content. This is a STEP-BY-STEP, ...

Iterative newsletter writing workflow for Ben Van Sprundel's audience. Use when Ben wants to write a newsletter from research, an insight, an idea, or a YouTube video transcript. This is a CREATIVE, STEP-BY-STEP process. Never output a complete newsletter immediately. Each step requires suggestions, user decision, then progression to next step. Pairs with /research upstream and /image downstream. Triggers: newsletter, write newsletter, email content, repurpose video, insight to newsletter.

Build and schedule a personalized Operator prompt that runs a Baalda vault as a second brain on a recurring cadence. Run it from inside the vault: it reads Context/ and CLAUDE.md first to infer org, team, brand voice and paths, then asks only the gaps (cadence, connectors, DM recipient, budgets, signature), writes the rendered prompt locally, and invokes the schedule skill to wire the recurring trigger. Baalda-aware: routes every note move or rename through the app or the Baalda MCP so notes ...

Framework-driven audit and optimizer for a Baalda vault. Applies 10 frameworks covering CLAUDE.md quality, wiki structure, compression, context rot, memory, progressive disclosure, hygiene, cross-file synthesis, architecture and discoverability, plus F10 Claude 5 rule rewriting. Every finding ships a concrete fix; the user picks apply-now or save-to-plan per finding. F10 rewrites rules written for older Claude models into judgment plus the reason, and proposes the documented Claude Fable 5.1 ...

Build and schedule a personalized Operator prompt that runs the user's second brain on a recurring cadence. The skill is invoked from inside the vault folder locally — it reads `Context/` and `CLAUDE.md` first to infer org, team, brand voice, and paths, then asks ONLY the gaps it can't determine (cadence, connectors, DM recipient, budgets, signature). Fills `references/operator-prompt-template.md`, writes the rendered prompt locally, then invokes the `schedule` skill to wire up the recurring ...

Framework-driven audit and optimizer for any markdown vault. Applies 10 frameworks covering CLAUDE.md quality, wiki structure, compression, context rot, memory, progressive disclosure, hygiene, cross-file synthesis, architecture and discoverability, plus F10 Claude 5 rule rewriting. F9 walks the real discovery chain (root CLAUDE.md, routing, folder index, file) and audits routing tables against folder reality. F10 rewrites rules written for older Claude models into judgment plus the reason, a...

Asks a few plain questions about the work, then names the one desktop app to run local AI models in, from LM Studio, Goose, Open WebUI, AnythingLLM, OpenWork or Odysseus. Use when the user asks "which app should I use for local AI", "LM Studio or Ollama", "what is the best local AI interface", "do I need Open WebUI", "Open WebUI or Odysseus", "which one supports MCP", "which supports skills", "pick a harness for me", or is comparing local AI desktop apps. Names one tool and states what it can...

Pipeline review and next-action planner. Pulls all prospects from a specified CRM pipeline stage, analyzes every email thread and meeting transcript per prospect, then delivers a concise per-prospect status summary with sales cycle recap, action items (yours and theirs), and contact details, plus a cross-pipeline synthesis of patterns and priorities. Works with Attio or Pipedrive, Gmail, and Fireflies, and degrades gracefully when a source is missing. Use when the user says "review my pipelin...

Produce the post-discovery follow-up package after a sales call: a personalized email recap, and, when your sales process calls for it, a personalized proposal (in PandaDoc or Google Docs, or your own existing template), plus an email draft and a confirmation summary. Nothing is ever sent. Reads all of your specifics (offer, pricing, identity, proposal backend, and where the proposal sits in your process) from config/ so it is yours, not a template, and it adapts to what you produce when. Wor...

The one skill for prompting the Claude 5 models the way Anthropic says to. Starts by interviewing the user one question at a time, then writes a new prompt, rewrites an old one, or audits a whole CLAUDE.md, skill or project-instruction file, applying the rules from Anthropic's Opus 5 guide, Fable 5 guide, best practices page and context engineering post. Strips retired instructions, rebuilds the ask as a Full Job Brief (job, why, guardrails, done-means), swaps bare rules for reasons, caps sco...

Start a clean Claude session with only the context the next task needs, instead of /compact. Captures the goal of your next session, points to the right files (never copies them), and outputs a self-contained prompt to paste into a fresh chat. Use when: "refresh", "refresh context", "fresh start", "my chat got sloppy", "start a new chat with context", "hand off this session", outputs degrading, drifting off task. Three levels: lite (quick reset), full (default handoff), ultra (full briefing)....

Runs an open model in the cloud two ways, and makes the user choose with real numbers. Route A is OVHcloud AI Endpoints, an EU-owned per-token API with zero idle cost, for spiky usage and EU jurisdiction. Route B rents one single-tenant RunPod GPU pod in a region the user picks, serving the model on vLLM behind a generated API key, with Open WebUI behind its own login and a URL Claude Code can use directly, for sustained use, unlisted models, or single tenancy. Use when the user says "rent a ...