A comprehensive collection of 30+ Claude Code skills for cold email and outbound sales, covering strategy, infrastructure, lead sourcing, and copywriting, with a guided kickoff flow and signal playbooks.

Rapid spam filtering system.

Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.

A filter that blocks spam & misleading websites from appearing in search results via uBlocklist

The widget and docs for the proof of work challenge used in Friendly Captcha. Protect your websites and online services from spam and abuse with Friendly Captcha, a privacy-first anti-bot solution.

Open-source app that blocks spam calls. Includes customizable filters for hidden, unknown, and international numbers.

SPD V1 Batch. Process large, user-supplied sets of legitimate product, software, startup, app, and AI-tool directory URLs across Windows, macOS, and Linux-capable environments through normalization, deduplication, execution sharding, verification-first queues, authorization-controlled form work, idempotent submission, recovery, and truthful throughput reporting. Use when coverage and operational throughput matter more than deep per-site quality analysis. Do not use for ranking manipulation, bulk link spam, invented data, CAPTCHA bypass, paid-link acquisition, forced reciprocal links, or routes prohibited by a site's terms.

Spam emails

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Use when the user wants YouTube metadata for a video — a click-worthy title, an SEO/above-the-fold description, tags, and timestamped chapters. Accepts a transcript (ideally timestamped SRT), a topic, a PR, or a freeform description. Used standalone and by /produce-video. Triggers on "youtube title", "youtube description", "youtube chapters", "youtube tags", "youtube metadata", "youtube-copy".

Use when the user wants to write a product update email, feature announcement newsletter, or digest email for users or subscribers

Find and prioritize ethical backlink and digital-PR opportunities using SandBase DataForSEO backlink data. Use when asked to analyze backlink profiles, find referring-domain gaps, compare link competitors, or prepare a link-outreach target list.