Humanizer

Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content,

Openclaw Google Ads

Shared Google Ads API skill for OpenClaw agents. Query account, campaign, ad group, keyword, search term, and performance data with local scripts and GAQL ex...

blog-polish-zhcn

Polish and translate a technical blog draft into a 1200–1400 word, 4-5 section Markdown article in Simplified Chinese (zh-CN), preserving technical terms and...

Don Corleone Writing Style

Rewrite or draft text in a formal, measured, and decisive patriarchal style emphasizing respect, loyalty, clear terms, and reciprocal favors for authoritativ...

cognitive-evolution-engine

Manage AI self-evolution by recording short-term memories, extracting long-term insights, and rewriting core operational directives in OpenClaw.

Soul In Sapphire

Long-term memory, state tracking, continuity review, and identity-change support for OpenClaw. Use for durable memory writes/search in Notion, emotion/state...

deso-research

Research and analyze content across decentralized social networks (Farcaster, Lens, Nostr, Bluesky) using the deso-ag CLI tool. Use this skill when users want to research topics on decentralized social platforms, analyze trending content, extract discussion terms, browse Farcaster channels, or compare engagement across networks. Trigger on phrases like "research X on Farcaster", "what's trending on Lens", "analyze [topic] across deso networks", "search deso for [topic]", "extract trending terms"

Medical Terms

Explain medical terminology, lab results, diagnoses, and prescription abbreviations in plain everyday language. Use when users encounter confusing medical wo...

Memori

Agent-native memory for OpenClaw that structures memory from agent trace, execution history, decisions, tool calls, and conversations into durable long-term...

Amazon SEO

Optimize Amazon product listings with keyword-rich titles, bullet points, A+ content strategies, and backend search term placement for better ranking.

Refund Policy Clarifier

Clarifies and rewrites ecommerce refund policies into clear, customer-friendly language without expanding or changing the store’s actual refund terms.

Creator Contract

Draft influencer and creator collaboration agreements covering deliverables, usage rights, exclusivity terms, payment schedules, performance bonuses, and con...

a very short history of #datascience

_The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young one--computer science. The term “Data Science” has emerged only recently to specifically designate a new profession that is expected to make sense of the vast stores of big data. But making sense of data has a long history and has been discussed by scientists, statisticians, librarians, computer scientists and others for years. The following timeline traces the evolution of the term “Data Science” and its use, attempts to define it, and related terms._