Generate statistics for publication-year and journal distributions from local references or PDFs; use when you need standardized Year/Journal tables and a summary without any…
Tracks every paper, study, dataset, and source that has been shared, recommended, or discussed across research email threads — building a structured reading list with context on…
Interpret figures in academic papers and their captions when the input is a PDF-to-Markdown document with page markers and image links, producing a structured Markdown report for…
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral).
Academic literature orientation skill that searches papers via Consensus, builds a strategic search plan using PICO (default) or SPIDER / Decomposition / hybrid as fallbacks, and…
Trace the intellectual lineage of the 3 most-mentioned concepts in a research corpus — who first proposed each idea, who challenged it, who refined it, and where consensus stands…
Surface every conflict in a research corpus — every point where 2+ author groups reach opposite conclusions, with positions, papers, and the methodological reasons for the…
Identify 5 research questions the corpus does NOT fully answer — and for each: why the gap persists, which paper comes closest, what methodology would fill it.
Literature review intake — when the user uploads multiple research papers, produce a corpus-level inventory before any deep questions: paper-by-paper one-liner (author, year, key…
Build a structured knowledge map of a research field — central thesis, 3–5 supporting findings, 2–3 active debates, 1–2 frontier questions, 3 starter papers with reasons.
Compress everything known about a research field into a 5-minute briefing for an educated non-expert — three sentences: what's proven, what's unknown, what's the real-world…
Produce a deep, multi-source, cited research brief on a topic from live web data using Bright Data's Discover API (intent-ranked web search + parsed page content).
Use when targeting Living Reviews in Relativity (LRR) or deciding whether an invited, continuously updated authoritative review in relativity and gravitation fits this…
Paper reader for non-academics. Takes a paper and extracts its ideas for personal use. Focuses on understanding, not academic critique.
Paper workflow: read papers + cast cards in one go. Takes one or more arxiv links, paper URLs, PDFs, or paper names.
论文倒读法：给一篇论文，递归找出它批判和改进的前序论文（最多5层），再找它之后的最新进展，从源头正向讲述问题演化史。以问题为轴，费曼式讲解每篇论文看到的问题和解法创新。Use when user shares a paper and wants to understand its intellectual lineage, citation chain,…
Deep travel research workflow for museums and ancient architecture. Input a city name, auto-generates structured knowledge document (org-mode) + portable reference cards (PNG).
Deconstructs academic papers like an X-ray machine, extracting core contributions, critical assumptions, and napkin-worthy insights from research papers.
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable — from…
Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support — from Orchestra Research
Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models.
Generate and update HTML dashboards for LLM usage (Claude, Gemini, Kiro, VS code, Cline, etc). Use when the user wants to visualize their AI coding assistant usage statistics,…
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic r — from…
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic r — from…
Research standards/patterns via MCP Ref. Generates Standards Research for Story Technical Notes subsection. Reusable worker.
Research best practices via MCP Ref/Context7/WebSearch and create documentation (guide/manual/ADR/research). Single research, multiple output types.
Indexes and queries project research graphs backed by hex-research MCP. Use for hypotheses, goals, benchmark runs, evidence depth, derived goal metrics, lineage, generated…
Use when validating Stories, plans, or context through the evaluation platform with mandatory research, parallel evidence lanes, sequential merge, and bounded refinement.
Use when an evaluation run needs mandatory official-doc, MCP Ref, Context7, and current best-practice research with a structured research summary.
Use when an evaluation coordinator needs normalized findings from target artifacts and research evidence.
Use when an evaluation run must merge research, findings, documentation, and repair outputs into one verified result.
Use when coordinating story quality evaluation with mandatory research, worker summaries, agent review, regression evidence, and bounded refinement.
Researches real-world problems, competitor solutions, and customer complaints before test planning. Posts findings as Linear comment for ln-512 and ln-513.
Researches real-world problems, competitor solutions, and customer complaints for a feature domain. Use before test planning to ground tests in actual user pain points.
Use when auditing project documentation through the evaluation platform with mandatory research, coordinated audit workers, and structured summaries.
Use when auditing the codebase through the evaluation platform with mandatory research, coordinated domain audit workers, and structured summaries.
Use when auditing architectural patterns through the evaluation platform with mandatory best-practice research, coordinated pattern workers, and structured summaries.
Use when auditing persistence and runtime performance through the evaluation platform with mandatory research, coordinated data-layer workers, and structured summaries.
Researches competitive benchmarks and generates optimization hypotheses for identified bottlenecks. Use after profiling.
Use when validating optimization plans through the evaluation platform with mandatory research, parallel agent evidence, sequential merge, and bounded refinement.
Use this bioinformatics data analysis skill to construct a database-driven lncRNA-mRNA regulatory network from target lncRNA and/or gene lists by projecting shared miRNA evidence…
Run bioinformatics analyses using Lobster AI - single-cell RNA-seq, bulk RNA-seq, literature mining, dataset discovery, quality control, and visualization.
Multi-cycle deep research using locally-hosted LDR (Local Deep Research) service. Use when user asks for comprehensive research with citations, literature reviews, competitive…
Use when the user asks to find local events, collect things happening in a city, clean event listings, dedupe events, verify dates, links, prices, locations, availability,…
Build a searchable Asta document index from a collection of local PDF files. Use when the user asks to "index these PDFs", "put these PDFs into an Asta index", "index these PDFs…
When the user wants to localize their App Store listing for international markets. Also use when the user mentions "localization", "translate my app", "international markets",…
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports.
Zaznamenává kroky rešerše do reserse.md. Používá se po přidání zdrojů přes Scholar nebo pro synchronizaci existujících zdrojů ze Zotera.
Lomb-Scargle periodogram for finding periodic signals in unevenly sampled time series data. Use when analyzing light curves, radial velocity data, or any astronomical time series…
Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques.
Sustained objectives via long_task / complete_goal — idempotent goal wording, project-style modular work, early web/doc research, Runtime Context metadata.
[BETA] Deep research that actually reads pages instead of summarizing search results. Tell it how long to research (10 min, 2 hours, all night) and it works the full duration —…
Earnings analysis — pre- and post-earnings. Pre-earnings preview: prior-guidance review, recent-events tracking, last call's Q&A, and a key-things-to-watch framework for an…
Quantitative strategy frameworks: pairs trading/cointegration, volatility regime strategies, seasonality/calendar effects, multi-factor models (IC/IR), factor research and…
Institution ratings, consensus price targets, EPS/revenue forecasts, finance calendar, shareholder data, fund holders, insider trades (SEC Form 4), short interest, industry…
Map repository or module structure. Use when unfamiliar code, architecture, ownership, call paths, module boundaries, or repeated packet context discovery needs an accepted atlas,…
Use when an operator's rough product, engineering, workflow, research, or opportunity idea lacks clear problem, audience, constraints, success criteria, direction, or next Core…
Preserve reusable investigations. Use when compatibility, framework/library behavior, tradeoffs, rejected options, null results, performance/security/migration evidence, or…
Search and analyze lost bitcoins - find old inactive wallets, analyze dormant addresses, track ancient coins and research forgotten wealth on the Bitcoin blockchain.
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode.