Research & Search

ferroxlabs Bundle

Structures research papers in IMRaD format (Introduction, Methods, Results, and Discussion) or social sciences format with section-by-section guidance, producing a complete paper framework. Use when the user asks to structure a research paper, write an academic paper, organize a study for publication, or create an IMRaD paper. Do NOT use for literature reviews (use literature-review), abstracts only (use abstract-writing), or editing an existing paper (use academic-paper-review).

ferroxlabs Bundle

Roam Research mastery covering block references and embeds, advanced queries and filters, template systems, graph analysis and visualization, spaced repetition with delta cards, daily notes workflow, namespace organization, and building a personal knowledge management system with bidirectional linking. Use when the user asks about roam research power user, related techniques, best practices, or needs guidance in this domain. Do NOT use when the request is outside the scope of roam research power user or requires a different specialized skill.

newmindsgroup Bundle

Thesis-driven equity analysis from public SEC EDGAR and market data; /analyze, /score, /compare workflows with bundled Python tools (Claude Code, Cursor, Codex).

newmindsgroup Bundle

Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.

newmindsgroup Skill

Scientific research and analysis skills

newmindsgroup Bundle

Generate structured PR descriptions from diffs, add review checklists, risk assessments, and test coverage summaries. Use when the user says "write a PR description", "improve this PR", "summarize my changes", "PR review", "pull request", or asks to document a diff for reviewers.

jadegate Skill

Read Discord for financial research using opencli (read-only). Use this skill whenever the user wants to read Discord channels, search for messages in trading servers, view guild/channel info, monitor crypto or market discussion groups, or gather financial sentiment from Discord. Triggers include: "check my Discord", "search Discord for", "read Discord messages", "what's happening in the trading Discord", "show Discord channels", "list my servers", "Discord sentiment on BTC", "what are people saying in Discord about AAPL", "monitor crypto Discord", any mention of Discord in context of reading financial news, market research, or trading community discussions. This skill is READ-ONLY — it does NOT support sending messages, reacting, or any write operations.

jadegate Skill

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", "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.

jadegate Skill

Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases.

jadegate Skill

Read Telegram channels and groups for financial news and market research using tdl (read-only). Use this skill whenever the user wants to read Telegram channels, export messages from financial Telegram groups, list their Telegram chats, search for news in Telegram channels, or gather market intelligence from Telegram. Triggers include: "check my Telegram", "read Telegram channel", "Telegram news", "what's new in my Telegram channels", "export messages from", "list my Telegram chats", "financial news on Telegram", "crypto Telegram", "market news Telegram", any mention of Telegram in context of reading financial news, crypto signals, or market research. This skill is READ-ONLY — it does NOT support sending messages, joining channels, or any write operations.

paulpas Skill

Implements the complete skill creation lifecycle from research through validation, including Python-based quality gates, stub detection, and automated compliance checking against SKILL_FORMAT_SPEC.md requirements.

adu2021 Skill

Convert foundational papers that create new subfields into conceptual framework skills. Extracts problem definitions, vocabulary, founding experiments, and opened research directions. Use this skill when extracting skills from Category 8 (Field Foundation) papers — MAML-style paradigm-creating papers or 'Deep Learning' review-style papers that define entire research communities.

adu2021 Skill

Convert survey and synthesis papers into field navigation guides. Extracts taxonomies, method selection decision trees, literature navigation heuristics, and open problems. Use this skill when extracting skills from Category 10 (Survey and Synthesis) papers — comprehensive reviews, position papers, tutorials, or roadmaps that organize a research landscape.

adu2021 Skill

Convert mechanistic analysis papers into transferable analytical methodology skills. Extracts the research question, analytical instrument, controlled confounds, and practitioner implications. Use this skill when extracting skills from Category 9 (Mechanistic Analysis) papers — Network Dissection-style interpretability work or any paper whose goal is exploratory understanding of why something works.

adu2021 Skill

Convert research infrastructure papers into design pattern guides. Extracts capability gaps addressed, API design decisions, performance/usability trade-offs, and integration patterns. Use this skill when extracting skills from Category 7 (Research Infrastructure) papers — PyTorch-style framework papers, evaluation harness tooling, or any paper where the tool itself is the contribution.

adu2021 Skill

Replace live web API-dependent research with offline corpus-based trajectory synthesis. Decouples answer-guided document retrieval (10K gold + 15M FineWeb) from synthesis via local search engine, eliminating $5,760 Serper costs while enabling reproducible, analyzable reasoning chains through three primitives: Search (ranked retrieval), Open (full document fetch), Find (intra-document verification).

adu2021 Skill

Train search agents using citation-aware rubric rewards that decompose complex questions into verifiable single-hop facts. Agents learn to chain evidence through explicit source citations, preventing hallucinations and shortcut exploitation. Citation-aware Group Relative Policy Optimization (C-GRPO) combines rubric and outcome rewards, enabling agents to solve multi-hop reasoning tasks with high factual grounding and transparency.

nota-america Skill

Summarize authored commits over a user-specified time period into a concise update

nota-america Bundle

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. For systems venues (OSDI, NSDI, ASPLOS, SOSP), use systems-paper-writing instead.

nota-america Skill

Organize research — manage references, notes, and collaboration.

nota-america Bundle

Internal guidance for composing Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks inside the Codex Claude Code plugin

adu2021 Skill

Build autonomous research agents using pre-computed knowledge graphs instead of online reasoning. Extract methodological patterns from literature, organize them into structured knowledge, and enable agents to align user research intents with established paradigms for efficient, grounded research planning and execution.

adu2021 Skill

Eliminate hallucination via four-stage progressive training: multilingual adaptation → English dialogue SFT → bilingual SFT → GRPO alignment. Achieve 0.0% hallucination rate for encoder-decoder models using structured citation markers and knowledge-source attribution, with automatic transfer of citation format across languages.

adu2021 Skill

Evaluate AI systems' ability to conduct autonomous research experiments using EXP-Bench, a benchmark for multi-step scientific reasoning and iterative experimental workflows.

nota-america Skill

Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety alignment, reducing harmful outputs without human labels. Powers Claude's safety system.

nota-america Bundle

Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.

nota-america Skill

Multi-source research on a customer question or topic with source attribution. Use when a customer asks something you need to look up, investigating whether a bug has been reported before, checking what was previously told to a specific account, or gathering background before drafting a response.

nota-america Skill

Two-tier memory system that makes Claude a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would. CLAUDE.md for working memory, memory/ directory for the full knowledge base.

nota-america Skill

Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. This skill covers the Interactions API, the recommended way to use Gemini models and agents in Python and TypeScript.

nota-america Bundle

High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.

nota-america Bundle

This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".

undermybelt Skill

使用 QMD 作为 Hermes 的外部记忆检索层。面向本机 notes/docs/projects/skills/sessions 的本地混合检索，优先走向量或 hybrid 搜索，而不是只靠 session_search。

undermybelt Skill

Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.

undermybelt Bundle

Autonomous experiment/evaluate/iterate loop for code, prompts, skills, or workflows. Use when optimizing a measurable metric with repeated keep/discard decisions and resumable state.

undermybelt Bundle

Use when a task involves continuing a project, restoring project context, maintaining file-based project memory, updating current-state summaries, or recording meaningful progress across sessions. Works best for long-horizon, file-based projects and supports research writing, product document collaboration, software project coordination, and broader cross-functional project continuity.

undermybelt Skill

ICT/SMC trading knowledge base (665 concepts + 1246 cases) + a built-in SMC structural indicator + chart generation via Mobius Quant API. Four interaction modes - (1) concept Q&A ("what is X / how to identify Y / how to enter Z"); (2) chart-image analysis when user attaches a trading chart ("看图 / 分析 / 走势 / 行情 / 帮我看") — auto-fetches real OHLCV + structural signals; (3) chart annotation ("draw / annotate / 标一下 / 画出来 / 标注"); (4) Kline analysis on pasted OHLCV or asset+timeframe ("BTC 1h 怎么样" / "茅台日线"). The SMC indicator (BOS/CHoCH, Order Blocks, Fair Value Gaps, equal H/L, premium-discount, strong/weak pivots) is the default structural source for any asset+timeframe query. Always fetches FRESH data per turn from Mobius Quant API (api.mobiusquant.ai); when asked "数据源 / where's the data from", use the canonical disclosure (do not fabricate upstream vendors). Supports crypto, A股/港股/美股, forex.