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…
Score 70/100
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…
Score 70/100
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral).
Score 70/100
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.
Score 70/100
Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support
Score 70/100
Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models.
Score 70/100
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,…
Score 70/100
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results,…
Score 70/100
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results,…
Score 70/100
Research standards/patterns via MCP Ref. Generates Standards Research for Story Technical Notes subsection. Reusable worker.
Score 70/100
Research best practices via MCP Ref/Context7/WebSearch and create documentation (guide/manual/ADR/research). Single research, multiple output types.
Score 70/100
Use when validating Stories, plans, or context through the evaluation platform with mandatory research, parallel evidence lanes, sequential merge, and bounded refinement.
Score 70/100
Use when an evaluation run needs mandatory official-doc, MCP Ref, Context7, and current best-practice research with a structured research summary.
Score 70/100
Use when an evaluation coordinator needs normalized findings from target artifacts and research evidence.
Score 70/100
Use when an evaluation run must merge research, findings, documentation, and repair outputs into one verified result.
Score 70/100
Use when coordinating story quality evaluation with mandatory research, worker summaries, agent review, regression evidence, and bounded refinement.
Score 70/100
Researches real-world problems, competitor solutions, and customer complaints before test planning. Posts findings as Linear comment for ln-512 and ln-513.
Score 70/100
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.
Score 70/100
Use when auditing project documentation through the evaluation platform with mandatory research, coordinated audit workers, and structured summaries.
Score 70/100
Use when auditing the codebase through the evaluation platform with mandatory research, coordinated domain audit workers, and structured summaries.
Score 70/100
Use when auditing architectural patterns through the evaluation platform with mandatory best-practice research, coordinated pattern workers, and structured summaries.
Score 70/100
Use when auditing persistence and runtime performance through the evaluation platform with mandatory research, coordinated data-layer workers, and structured summaries.
Score 70/100
Researches competitive benchmarks and generates optimization hypotheses for identified bottlenecks. Use after profiling.
Score 70/100
Use when validating optimization plans through the evaluation platform with mandatory research, parallel agent evidence, sequential merge, and bounded refinement.
Score 70/100
Run bioinformatics analyses using Lobster AI - single-cell RNA-seq, bulk RNA-seq, literature mining, dataset discovery, quality control, and visualization.
Score 70/100
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",…
Score 70/100
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…
Score 70/100
Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques.
Score 70/100
A/B test design — produce an experiment spec with hypothesis, primary metric, MDE, sample size, run time, and decision rule.
Score 70/100
Generate publication-ready figures and visual abstracts for medical research papers. Supports ROC curves, forest plots, CONSORT/STARD/PRISMA flow diagrams, calibration plots,…
Score 70/100
Research project management for medical manuscripts. Scaffold project structure, track writing progress across phases, maintain project memory files, generate submission…
Score 70/100
Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask…
Score 70/100
Use market access value for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
Score 70/100
Comprehensive market analysis and sizing engine that goes beyond TAM/SAM/SOM to include growth drivers, risk factors, segment dynamics, and investment-grade market maps.
Score 70/100
When the user wants a comprehensive App Store market overview, daily/weekly market briefing, or combined view of chart movements, trending keywords, featured apps, and new…
Score 70/100
Comprehensive market research and analysis skill. Use when sizing markets, conducting competitive analysis, generating professional market research reports, analyzing consumer…
Score 70/100
Expert market research analyst who performs deep competitive analysis, trend forecasting, TAM/SAM/SOM sizing, and customer persona development.
Score 70/100
Generates professional market research reports by analyzing business intent, decision levels, and conducting multi-source data retrieval (Web, PubMed, Clinical Trials).
Score 70/100
Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner).
Score 70/100
Run TAM/SAM/SOM market sizing with top-down and bottom-up methods, competitive landscape, and tech stack analysis.
Score 70/100
States of matter, phase transitions, kinetic molecular theory, atmospheric chemistry, green chemistry, and sustainable synthesis.
Score 70/100
Use when implementing game math — vectors, transforms, interpolation, curves, random number generation, and common geometric recipes
Score 70/100
Mentor for math work in Triptych — wires sympy-mcp, desmos-mcp, show_latex, init_research, and /verifier into the canonical order, and surfaces the four pitfalls that bite…
Score 70/100
Verify math-heavy code for algorithm correctness, numerical stability, and standards alignment
Score 70/100
Real-world problem formulation, mathematical abstraction, and applied mathematics for translating between practical problems and mathematical frameworks.
Score 70/100
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.
Score 70/100
MATLAB/GNU Octave numerical computing: matrices, linear algebra, ODEs, signal processing, optimization, statistics, scientific visualization. MATLAB-syntax examples run on both.
Score 70/100
Low-level Python plotting for scientific figures: publication-quality line, scatter, bar, heatmap, contour, 3D; multi-panel layouts; fine control of every element.
Score 70/100
Use when tasks require current, source-backed technical information from MCP tools. Apply for library/API questions, dependency version checks, third-party integration work,…
Score 70/100
Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution.
Score 70/100
Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching.
Score 70/100
Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.
Score 70/100
Use medical cv resume builder for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
Score 70/100
Matches a user’s biomedical research direction, disease problem, study aim, data modality, and resource constraints to the most relevant recent algorithms and method papers.
Score 70/100
Identifies real, evidence-audited, topic-specific research gaps in medical research by first retrieving and verifying literature from trusted sources, then mapping the current…
Score 70/100
Résume prudemment des articles, recommandations ou contenus médicaux. À utiliser quand l'utilisateur demande une synthèse scientifique, une revue rapide, ou veut comprendre des…
Score 70/100
Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
Score 70/100
Daily meeting preparation system that checks your calendar each morning, deeply researches external attendees (LinkedIn, company info, GitHub, past notes), and sends you…
Score 70/100
Prepare structured briefings for meetings with legal relevance and track resulting action items. Use when preparing for contract negotiations, board meetings, compliance reviews,…
Score 70/100
Prepare structured briefings for meetings with legal relevance and track resulting action items. Use when preparing for contract negotiations, board meetings, compliance reviews,…
Score 70/100