Research & Search

undermybelt Skill

Query OpenAlex for scholarly works, DOI lookups, citation metadata, author/source/topic filters, and API quota status. Use when the user asks to search papers, find literature, lookup DOI/OpenAlex IDs, query OpenAlex, 查论文, 搜论文, or inspect paper metadata with citations.

undermybelt Skill

用 headless 采样番茄书库不同字数段热榜，在字体混淆下仍归纳男频读者侧写、爽点偏好与写作策略。

undermybelt Skill

AI engineering curriculum reference.

ferroxlabs Bundle

Structures deep industry research covering key players, business models, trends, job market dynamics, and entry points. Produces a comprehensive research brief document for career decision-making. Use when the user wants to research an industry before a career move, understand a new market for job targeting, or conduct due diligence on an industry they are considering entering. Do NOT use for company-specific research before an interview (use company-research-guide), competitive analysis for business strategy (use competitive-analysis), or market research for a product (use market-research skills).

ferroxlabs Bundle

Designs an A/B test from scratch. Defines the hypothesis, calculates required sample size, specifies randomization method, sets success metrics and minimum detectable effect, and produces a results interpretation template. Use when the user wants to set up a controlled experiment to test whether a change produces a measurable improvement. Do NOT use for interpreting completed test results (use hypothesis-testing), analyzing existing data without experimentation (use correlation-analysis), or survey design (use survey-design in the research cluster).

ferroxlabs Bundle

Improve developer experience through DX research, friction reduction, developer surveys, tooling optimization, and workflow analysis Use when the user asks about developer experience engineer, related techniques, best practices, or needs guidance in this domain. Do NOT use when the request is outside the scope of developer experience engineer or requires a different specialized skill.

ferroxlabs Bundle

Analyzes a job description and company profile to generate the 10-15 most likely interview questions the user will face, categorized by type (behavioral, technical, situational, role-specific) with guidance on what each question is really testing. Produces a prioritized question list with preparation notes. Use when the user wants to predict interview questions, prepare for a specific interview, or understand what interviewers are looking for. Do NOT use for writing STAR answers (use behavioral-interview-prep), technical problem-solving frameworks (use technical-interview-prep), or company research (use company-research-guide).

adu2021 Skill

Develops multimodal research agents that combine visual and textual reasoning for complex information-seeking tasks, using synthetic training trajectories and reinforcement learning.

adu2021 Skill

DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation. From arXiv:2601.09688

undermybelt Skill

Research prediction-market events, venues, underliers, liquidity, and news context for Itô basket workflows. Use for read-only market intelligence, API-gated Itô exploration, and source-grounded prediction-market briefings without investment advice or live trading.

undermybelt Skill

Map an academic paper or formalization repo to concrete, implementable engineering changes in a trading/research engine. Avoid math gimmicks; focus on regime fusion, scoring, gating, and feature construction.

undermybelt Skill

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

undermybelt Skill

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

undermybelt Bundle

Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my bookmarks", "who follows", "look up @user", "what's trending about", "market sentiment on Twitter", "what are people saying about AAPL", "recent tweets from @elonmusk", "show me @user's posts", "fintwit", any mention of Twitter/X in context of reading financial news or market research. This skill is READ-ONLY — it does NOT support posting, liking, retweeting, or any write operations.

undermybelt Bundle

Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn. Triggers include: "check my LinkedIn feed", "search LinkedIn for", "LinkedIn posts about", "what's on LinkedIn about AAPL", "finance jobs on LinkedIn", "LinkedIn market sentiment", "who's posting about earnings on LinkedIn", "LinkedIn feed", "professional network buzz", "what are analysts saying on LinkedIn", any mention of LinkedIn in context of reading financial news, market research, job searches, or professional commentary. This skill is READ-ONLY — it does NOT support posting, liking, commenting, connecting, or any write operations.

undermybelt Skill

Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice.

undermybelt Bundle

Use when a user needs architecture-first framing before implementation, wants to turn requirements into constraints, quality attributes, trade-offs, C4 views, or ADRs, or wants a guided architecture learning path from the awesome-architecture knowledge base.

undermybelt Skill

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

undermybelt Skill

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

adu2021 Skill

Build agentic systems for transparent, evidence-based novelty analysis of research submissions through four-phase pipelines: contribution extraction, prior work retrieval, hierarchical comparison, and structured reporting with explicit citations—enabling fair peer review at scale.

adu2021 Skill

Learn to predict and generate high-impact research ideas by training models on community feedback signals. Apply reinforcement learning to align research generation with citation-based indicators of scientific impact.

nota-america Bundle

Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.

nota-america Bundle

High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.

nota-america Skill

Prepare for a sales call with account context, attendee research, and suggested agenda. Works standalone with user input and web research, supercharged when you connect your CRM, email, chat, or transcripts. Trigger with "prep me for my call with [company]", "I'm meeting with [company] prep me", "call prep [company]", or "get me ready for [meeting]".

nota-america Bundle

Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.

nota-america Bundle

Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support

nota-america Bundle

Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.

nota-america Skill

Plan, conduct, and synthesize user research. Trigger with "user research plan", "interview guide", "usability test", "survey design", "research questions", or when the user needs help with any aspect of understanding their users through research.

nota-america Skill

Synthesize user research into themes, insights, and recommendations. Use when you have interview transcripts, survey results, usability test notes, support tickets, or NPS responses that need to be distilled into patterns, user segments, and prioritized next steps.

nota-america Skill

Research a prospect then draft personalized outreach. Uses web research by default, supercharged with enrichment and CRM. Trigger with "draft outreach to [person/company]", "write cold email to [prospect]", "reach out to [name]".

nota-america Skill

Draft a knowledge base article from a resolved issue or common question. Use when a ticket resolution is worth documenting for self-service, the same question keeps coming up, a workaround needs to be published, or a known issue should be communicated to customers.

nota-america Skill

Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".

adu2021 Skill

Recent years have witnessed increasing interest in extending large language models into agentic systems. While the effectiveness of agents has continued to improve, efficiency, which is crucial for real-world deployment, has often been overlooked. This paper therefore investigates efficiency from three core components of agents: memory, tool learning, and planning, considering costs such as latency, tokens, steps, etc. Aimed at conducting comprehensive research addressing the efficiency of the a...

adu2021 Skill

Implement techniques from DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal. Despite the growing adoption of large language models (LLMs) in scientific research workflows, automated support for academic rebuttal, a crucial step in academic communication and peer review, remains largely underexplored

adu2021 Skill

Implement techniques from RebuttalAgent: Strategic Persuasion in Academic Rebuttal via Theory of Mind. Although artificial intelligence (AI) has become deeply integrated into various stages of the research workflow and achieved remarkable advancements, academic rebuttal remains a significant and underexplored challenge

findscripter Skill

当需要对客户访谈/问卷/评论/工单等素材做调研分析，或从线上社区挖掘真实用户语言，进而提炼洞察、构建画像时使用；做的事是抽取痛点-触发-目标-原话并按主题聚类、标注置信度、产出调研综合报告/VOC语料库/用户画像/JTBD地图；不适用于据洞察写文案或优化落地页（仅做调研，不做下游创作）。触发词：客户调研、customer research、ICP、用户访谈、transcript分析、问卷分析、survey、工单分析、VOC、voice of customer、用户画像、persona、JTBD、jobs to be done、评论挖掘、G2评论、Reddit挖掘、流失原因、churn。