Creates LaTeX/PDF reports for pharmaceutical and clinical research. Compares patient groups by biomarkers, measurable biological indicators, and prepares treatment recommendation documents with evidence ratings, statistical results, and decision flowcharts.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Comparing outcomes across biomarker-defined patient groups
- Preparing treatment recommendations with evidence ratings
- Creating flowcharts for biomarker-guided treatment selection
foryourhealth111-pixel/Vibe-Skills☆ 3.7천2026년 10월 20일 업데이트
Apply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks. Build the tool that does it or proves it (codemod, script, generator, or a skill your subagents follow) instead of working by hand. The tool is the artifact a reviewer can rerun.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
michael-denyer/pstack-claude☆ 3.2천2026년 10월 21일 업데이트
Gene Ontology over-representation analysis using clusterProfiler enrichGO. Use when identifying biological functions enriched in a gene list from differential expression or other analyses. Supports all three ontologies (BP, MF, CC), multiple ID types, and customizable statistical thresholds.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
FreedomIntelligence/OpenClaw-Medical-Skills☆ 3.1천2026년 7월 21일 업데이트
Visualize metagenomic profiles using R (phyloseq, microbiome) and Python (matplotlib, seaborn). Create stacked bar plots, heatmaps, PCA plots, and diversity analyses. Use when creating publication-quality figures from MetaPhlAn, Bracken, or other taxonomic profiling output.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
FreedomIntelligence/OpenClaw-Medical-Skills☆ 3.1천2026년 7월 21일 업데이트
Convert raw Nanopore signal data (FAST5/POD5) to nucleotide sequences using Dorado basecaller. Covers model selection, GPU acceleration, modified base detection, and quality filtering. Use when processing raw Nanopore data before alignment. Guppy is deprecated; use Dorado for all new analyses.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
FreedomIntelligence/OpenClaw-Medical-Skills☆ 3.1천2026년 7월 21일 업데이트
Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Use when the user needs immediate insights into financial market trends, stock performance factors, and reasoning from the DeepEar Lite dashboard.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
RKiding/Awesome-finance-skills☆ 3.1천2026년 3월 29일 업데이트
Analyse open or closed card sort results into a proposed grouping and label set. Use after running a sort study. For turning that evidence into a full structure, use `information-architecture` (ux-strategy).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Owl-Listener/designer-skills☆ 3천2026년 9월 6일 업데이트
Analyzes documents and processes against FINRA, SEC, Federal Reserve, and CFPB regulatory frameworks. Identifies compliance gaps, classifies findings by severity, and recommends remediation. Use when performing compliance audits, regulatory reviews, gap analyses, or verifying policy adherence to financial regulations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
open-gitagent/opengap☆ 3천2026년 7월 3일 업데이트
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
softaworks/agent-toolkit☆ 2.6천2026년 3월 6일 업데이트
Inspecteur des finances publiques IA. Simule un contrôle fiscal DGFIP complet sur les comptes d'une entreprise française (SASU, EURL, SAS, SARL). Analyse le FEC, la liasse fiscale, les charges déduites, le compte courant d'associé, la TVA, l'IS selon 8 axes de vérification. Identifie les chefs de redressement potentiels avec montants, base légale et niveaux de risque. Triggers: contrôle fiscal, redressement, vérification comptabilité, DGFIP, FEC, déductibilité, audit fiscal, tax audit
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
romainsimon/paperasse☆ 2.5천2026년 8월 11일 업데이트
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
K-Dense-AI/claude-scientific-writer☆ 2.5천2026년 10월 20일 업데이트
Apply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks. Build the tool that does it or proves it (codemod, script, generator, or a skill your subagents follow) instead of working by hand. The tool is the artifact a reviewer can rerun.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
backnotprop/pstack☆ 2.5천2026년 10월 21일 업데이트
Performs epidemiological analyses including disease modeling (SIR/SEIR), outbreak investigation, risk factor identification, incidence/prevalence estimation, and causal inference from observational data; trigger when users discuss disease spread, public health data, or populat...
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트
Analyzes the feasibility of a proposed Meta-analysis topic by searching for existing Meta-analyses and Clinical Trials on PubMed/ClinicalTrials.gov. Use when you need to evaluate if a topic is viable for a new Meta-analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트
Orchestrates a systematic review and meta-analysis workflow following PRISMA 2020 guidelines, from protocol development through multi-database search, screening, data extraction, and evidence synthesis. Use when conducting evidence-based reviews, meta-analyses, or scoping revi...
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트
Detect and correct for horizontal pleiotropy in Mendelian randomization analyses using MR-PRESSO for outlier removal, MR-Egger regression for directional pleiotropy, and Steiger filtering for variant directionality. Use when validating MR results, detecting pleiotropic instrum...
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트
Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests f...
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). ...
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트
Generates complete two-sample Mendelian randomization research designs from a user-provided outcome, exposure or exposure family, and robustness direction. Use when a study centers on summary-statistics causal inference with instrument selection, harmonization, IVW-primary estimation, complementary estimators, sensitivity analyses, optional multivariable upgrades, and conservative evidence interpretation. Covers five study patterns and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트
Generates complete Mendelian randomization study designs from a user-provided exposure and outcome direction. Always use this skill whenever a user wants to design, plan, or build a Mendelian randomization study — even if phrased as "help me write a paper on X", "design an MR study for Y", or "I want to test whether A causally affects B using GWAS". Covers core two-sample MR design, optional bidirectional follow-up, optional multivariable MR, IV selection logic, ancestry alignment, harmonization, IVW as the default primary estimator, weighted median / MR-Egger / MR-PRESSO / leave-one-out sensitivity analyses, Steiger directionality, heterogeneity / pleiotropy checks, and explicit claim-boundary control. Always outputs four workload configs (Lite / Standard / Advanced / Publication+) with a recommended primary plan, stepwise workflow, method rationale, validation ladder, figure plan, minimal executable version, and strictly verified literature guidance with no fabricated references.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트
Generates complete bidirectional multi-phenotype Mendelian randomization research designs from a user-provided exposure family and outcome family. Always use this skill whenever a user wants to design, plan, or build a genome-wide causal-inference study based on publicly available GWAS summary statistics, especially when the article logic includes multiple exposures, multiple outcomes or subtypes, bidirectional MR, IV filtering, IVW as the main estimator, weighted median / MR-Egger / MR-PRESSO sensitivity analyses, leave-one-out testing, heterogeneity / pleiotropy checks, and multiple-testing control with FDR. Covers five study patterns (single-family bidirectional MR, multi-phenotype screening MR, subtype-resolved MR, phenome-style bidirectional causal map, mechanism-prioritized MR follow-up) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version...
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트
Use when performing sample-level dimensionality reduction and visualization on abundance or OTU-style matrices with a companion group file, generating UMAP and/or t-SNE coordinates and plots for group separation assessment. NOT for: differential expression testing, single-cell workflows requiring dedicated embeddings pipelines, or analyses without a sample grouping file.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트
Organizes biomedical figures, analyses, and result blocks into a clear Results section structure with disciplined narrative ordering and evidence-aware presentation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트
Turns reviewer comments into structured, professional point-by-point responses linked to manuscript revisions, clarifications, rebuttals, and additional analyses.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트