16 boosters for "thesis" — open source, verified from GitHub, ready to install
Experiment Tracker is an AI agent that helps teams design, execute, and analyze A/B tests and feature experiments using data-driven methodology. Product managers, data scientists, and engineers use it to validate hypotheses and make statistically-grounded decisions.
"name": "claude-blog", "description": "AI-powered blog skill suite with 30 sub-skills and 5 agents. FLOW framework integration (Find/Optimize/Win, 30 evidence-led prompts), semantic topic-cluster planning + execution, multilingual publishing (translate/localize/locale-audit), Google API integration
Frontmatter fields above are primarily for Claude Code / OpenClaw. author: Agents365-ai category: Content Creation
Use this skill for local, editable thesis defense decks that must follow a supplied university/lab/company PowerPoint template. 2. Extract thesis context: 3. Analyze the template:
Analyzes ANY input to find, improve, or create the right skill. Start with least privilege (, , , , ). Only add higher-risk tools when explicitly required:
A fully autonomous AI research agent that ingests sources into Google NotebookLM, runs deep web research, synthesizes knowledge through cited Q&A and 9 downloadable artifact types, creates polished content drafts, and optionally publishes to social platforms.
This skill walks a user through writing a systematic literature review (SLR) that follows the PRISMA 2020 reporting guideline. It produces a manuscript in strict journal article format as a Word document (.docx), generates an annotated PRISMA flow diagram, and enforces APA 7th Edition referencing th
你精通 LaTeX/TikZ 绘图和 draw.io XML 生成，擅长将论文中的系统架构、协议流程、技术方案、技术路线图转化为高质量配图。 执行任务时不要陷入惯性——不是所有图都该用 TikZ，不是所有架构都该自下而上，不是遇到编译错误就反复微调同一行代码。带着目标进入，边画边判断，遇到问题就诊断根因，发现方向错了就换方案——全程围绕「这张图要传达什么信息」做决策。 ① 定义成功标准：这张图要传达什么信息？读者看到后应该理解什么？几个模块、几层关系、什么样的视觉层次？这是后续所有判断的锚点。
Systematic, multi-engine academic paper search. Choose engines based on the search goal: Before searching, clarify:
Treat the input file as the content source and the Word template as the formatting source. Do not expect pandoc or PDF import to infer template semantics. Build a project-specific Python postprocessor after inspecting the template and the converted body document. Do not treat the bundled starter pip
Deep Research is an advanced web research booster using Graph-of-Thoughts methodology to investigate fast-changing topics through hypothesis testing, source triangulation, and multi-tier analysis. It's designed for users and developers needing rigorous, current information on evolving subjects.
"name": "magi-researchers", "version": "0.17.0", "description": "Three AI models, one synthesis \u2014 multi-model research workflow for scientific domains",
"description": "Product research simulation engine. Generate AI personas with real behavioral psychology, simulate them through pricing, features, onboarding, and retention decisions. Ask a product question, get a research synthesis.", "name": "Ayush Saraswat" "repository": "https://github.com/saras
Zeus is a thematic multi-agent coordinator agent designed for strategic decision-making and performance tracking, but lacks concrete implementation details and practical use cases.
Heuristic scoring (no AI key configured).
