Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when creating or improving persuasive copy, launch offers, fundraising appeals, onboarding prompts, sales pages, calls to action, or behavior-change messages where the goal is effective persuasion without deception, coercion, fake proof, fake scarcity, or overstated authority.
Improve experiment sensitivity and reduce traffic or duration requirements. Use when choosing sensitive metrics, working with minimum detectable effect, reducing variants, applying capping metrics, CUPED, variance reduction, or deciding how to get trustworthy A/B test signal with fewer users.
Choose the right product experiment type: superiority, non-inferiority, equivalence, A/B/n, or holdback-backed validation. Use when deciding what kind of A/B test to run, when the question is not simply "is variant better," when validating no degradation, proving similarity, comparing multiple variants, or selecting an experiment design for a mature product.
Prioritize an experimentation platform roadmap across rate, quality, cost, usability, process, infrastructure, and advanced methods. Use when deciding which experimentation capability to build next, whether to platformize interleaving or adaptive testing, how to align experimentation with company goals, or how to trade off speed versus rigor.
Query and interpret the new Google Search Console AI Performance Report (AI Overviews + AI Mode impressions/pages/countries/devices/dates). Use when: baselining AI search visibility, reading the new GSC AI report, or configuring the in-Search-Console AI opt-out toggle.
Evaluate A/B tests for inclusive product impact across user groups, accessibility needs, device constraints, privacy behavior, bandwidth, geography, and underrepresented segments. Use when checking whether an experiment benefits or harms different user groups, planning segmentation dimensions, auditing test/control balance, interpreting subgroup effects, or reviewing product changes for inclusive experimentation.
Find, prioritize, and reclaim missed link opportunities from unlinked brand mentions, image uses, content citations, broken owned URLs, outdated references, and attribution gaps. Use when auditing mentions, requesting credit links, fixing attribution, handling negative mentions, or salvaging lost backlinks.
Plan, draft, repurpose, and audit LinkedIn articles and newsletters that demonstrate expertise and support a professional content strategy. Use when writing long-form LinkedIn articles, newsletter editions, article teasers, follow-me articles, issue plans, or post-to-newsletter repurposing.
Write and audit LinkedIn comments and reply strategies that add professional value, start useful discussion, and increase ethical visibility. Use when drafting comments on LinkedIn posts, replying to comments, improving comment prompts, or planning comment-based engagement without spam.
Plan, measure, and iterate LinkedIn content experiments using post hypotheses, format tests, analytics, comments, and learning loops. Use when comparing LinkedIn hooks, formats, topics, hashtags, posting cadence, newsletters, documents, videos, or content performance data.