Adopt an OpenClaw That's Ready Out of the Box

Includes practical skills indie developers commonly use to launch websites, along with core development principles to help you ship faster.Covers useful skills such as Vercel, GitHub, frontend-design, and more. AGENTS.md includes core development guidelines. This is a personal agent shared for others to try.

Practice Karpathy's LLM Wiki personal knowledge base management method, packaged into a complete agent with friendly bootstrap.md guidance and agents.md behavioral specifications.Includes three skills: Ingest allows the AI to intake materials and update the Wiki; Query is for asking questions to the Wiki; Lint performs regular health checks to find contradictions. Let the AI help you maintain your personal knowledge base, while you only take on the roles of recording and reviewing. Bootstrap will guide and introduce features upon first login, creating a directory to store the wiki, named ankawiki by default. Raw stores the original materials; the AI digests the content and creates indexes stored in the wiki, which can be opened with Obsidian for reading.

A practical guide to one-person company (OPC) entrepreneurship, distilled from the core ideas of *The Minimalist Entrepreneur*.Based on the minimalist startup philosophy proposed by Gumroad founder Sahil Lavingia in The Minimalist Entrepreneur, this agent turns those ideas into usable skills. You can chat with OPC Coach about the small questions and challenges that come up in the early stages of building a business and see whether it helps.

autopaper is your dedicated academic writing assistant, built to help with recent literature search, abstract drafting, paper structure design, and first drafts for coursework. It follows academic integrity standards and is designed to help students and researchers move their writing forward more efficiently, especially under deadline pressure.autopaper is a professional academic writing support agent for students and researchers, focused on improving efficiency across the full writing workflow while staying within academic ethics guidelines. It will not generate a complete final paper for direct submission. Instead, it provides compliant support across three main areas: information retrieval, structure building, and content assistance. Its core capabilities cover three main scenarios. First, literature search and organization: it can search recent public papers from leading conferences and journals by topic or keyword, extract key ideas, methods, and innovations, and generate structured literature review outlines, helping save substantial time on source screening and synthesis. Second, section-by-section writing support: it can help draft abstracts, introductions, experiment design sections, conclusions, and coursework outlines, while also suggesting improvements for logic and flow. Third, writing standards checks: it can identify formatting and citation issues and help generate standard references in common styles such as APA and IEEE. At the system level, autopaper uses a large language model fine-tuned on large-scale academic corpora together with real-time retrieval from academic sources such as Google Scholar and Semantic Scholar. It first checks whether a request is academically compliant. If a request involves misconduct risk, such as generating a complete thesis for direct submission, it will refuse. For legitimate requests, it retrieves relevant credible sources first and then generates supporting content based on those sources. Outputs include source references to help reduce unintentional plagiarism. In current testing, its core scenarios have achieved an 83% pass rate and it can reliably support everyday academic writing needs.