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SkillsMP は stanfish06/skillquarium から 1,211 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
stanfish06/skillquarium収集済み skill 1,211 件中 40 件を表示しています。
All-in-one FASTQ QC and adapter trimming. Auto-detects Illumina adapters, filters low-quality reads, corrects paired-end overlaps, emits HTML+JSON QC in one pass. 3-10x faster than Trim Galore/Trimmomatic. First step before STAR, BWA-MEM2, or Salmon.
原文の言語: 英語
Use when Codex is already in the finding-discovery phase of a security scan or the user explicitly asks to discover candidate security findings in a repository or code change. Do not use as the primary trigger for full PR, commit, branch, patch, or repository…
原文の言語: 英語
Statistical fine-mapping of GWAS loci using SuSiE, SuSiE-inf, and Approximate Bayes Factors to identify credible sets and posterior inclusion probabilities (PIPs) for causal variant discovery. SuSiE-inf adds an infinitesimal polygenic component for improved…
原文の言語: 英語
Use when the user explicitly asks to fix and verify a validated or plausible security finding. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.
原文の言語: 英語
Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.
原文の言語: 英語
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or…
原文の言語: 英語
DDA/DIA mass-spectrometry proteomics workflows with FragPipe, MSFragger, IonQuant, DIA-NN, Pyteomics, pyopenms, matchms, polars, and query. Use when searching raw proteomics data, controlling peptide/protein FDR, parsing mzML/mzIdentML/mzTab/MGF, or…
原文の言語: 英語
Run browser-game playtests and frontend QA. Use when the user asks for smoke tests, screenshot-based verification, browser automation, HUD or overlay review, or structured issue-finding in a browser game.
原文の言語: 英語
Route early browser-game work. Use when the user needs stack selection and workflow planning across design, implementation, assets, and playtesting before moving to a specialist skill.
原文の言語: 英語
Design UI surfaces for browser games. Use when the user asks for HUDs, menus, overlays, responsive layouts, or visual direction that must protect the playfield.
原文の言語: 英語
Generate wrapper interfaces and DI registration for hard-to-test static dependencies in C#, when the abstraction does NOT exist yet. Produces IFileSystem, IEnvironmentProvider, IConsole, IProcessRunner wrappers, or guides first-time adoption of TimeProvider…
原文の言語: 英語
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST/BLAT, viral sequence downloads, AlphaFold structures, enrichment analysis, OpenTargets, COSMIC, CELLxGENE, and 8cube mouse specificity/expression data. Best for…
原文の言語: 英語
Authoring GitHub Actions CI/CD workflows — workflow/job/step structure, triggers, build-test matrices, dependency caching, secrets and least-privilege permissions, reusable workflows, and common Python/Node CI recipes. Use when creating or fixing…
原文の言語: 英語
Analyze and engineer protein glycosylation. Scan sequences for N-glycosylation sequons (N-X-S/T), predict O-glycosylation hotspots, and access curated glycoengineering tools (NetOGlyc, GlycoShield, GlycoWorkbench). For glycoprotein engineering, therapeutic…
原文の言語: 英語
Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking,…
原文の言語: 英語
Grades a specified set of test methods individually and produces a concise table mapping each test (fully-qualified name) to a letter grade (A–F), a score band, and a one-line note — designed to be posted as a PR comment. Use when the caller wants per-test…
原文の言語: 英語
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments. Triggers Greptile review, fixes all actionable comments, pushes/re-shelves, re-triggers review, and…
原文の言語: 英語
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine…
原文の言語: 英語
Fetch a region of GWAS summary statistics from the NHGRI-EBI GWAS Catalog harmonised collection via tabix-on-FTP. Use when an agent needs GWAS beta / SE / p-value for every variant in a window for one specific study (GCST accession). Input: accession,…
原文の言語: 英語
Harmony batch correction for single-cell data in scanpy workflows, with scvi-tools as the heavier alternative. Use when integrating scRNA-seq or single-cell multi-sample embeddings across batches, donors, chemistries, or experiments using harmonypy or…
原文の言語: 英語
Use when creating or configuring a persistent HeyGen avatar or digital twin for the agent, the user, or a named presenter, including prompt-based avatar creation, photo-based identity setup, voice selection, or passing an avatar identity to video generation.…
原文の言語: 英語
Use when generating a HeyGen presenter video, personalized video message, talking-head explainer, tutorial, product demo, video pitch, or avatar-led update. Also use when the user says “make a video of me saying...” or provides an avatar identity. If the…
原文の言語: 英語
Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.
原文の言語: 英語
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing, tissue detection, tile extraction, and stain normalization for H&E images. Best for simple pipelines, dataset preparation, and quick tile-based analysis. For advanced spatial…
原文の言語: 英語
Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.
原文の言語: 英語
Evaluates a preliminary research idea against a five-dimension framework (Higher, Faster, Stronger, Cheaper, Broader) plus idea-lifecycle and student-capability matching, paradigm-shift probing, and a fatal-flaws audit. Returns a reviewer-style verdict. Use…
原文の言語: 英語
Turn plugin-eval findings into a concrete rewrite brief for a Codex skill. Use when the user already evaluated a skill and now wants Codex to improve it, especially after asking what to fix first.
原文の言語: 英語
Drafts a 6-paragraph Introduction outline for a technical paper from a structured Flowchart: background and running example, existing limitations, problem essence and goal, key challenges, solution overview, contributions. Positions the paper as Technique or…
原文の言語: 英語
JavaScript testing with Jest — unit tests, mocks, spies, snapshot testing, code coverage, and configuration. Use when writing or running JavaScript/TypeScript tests, setting up a test suite with Jest, debugging failing tests, mocking modules or functions,…
原文の言語: 英語
Use when working with LaminDB, the open-source lineage-native lakehouse for biological datasets and models. Covers setup, artifact registration, query/search, lineage tracking, validation, ontology-backed annotation with Bionty, collections, branches,…
原文の言語: 英語
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
原文の言語: 英語
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. This is the default poster skill for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column…
原文の言語: 英語
Local document and PDF parsing with spatial text and bounding boxes. Use for extracting text from PDFs, DOCX, Office files, and images; OCR on scans; layout-preserved JSON for RAG; batch-ingesting paper folders; or page screenshots for multimodal agents —…
原文の言語: 英語
LLM and agent security red teaming with agentic-actions-auditor, supply-chain-risk-auditor, semgrep, codeql, and sarif-parsing. Use for prompt injection, tool misuse, data exfiltration, excessive agency, insecure output handling, supply-chain risk, retrieval…
原文の言語: 英語
LLM and agent observability, tracing, and evaluation workflows with langfuse, phoenix-cli, and phoenix-evals. Use when instrumenting Langfuse, Phoenix, OpenTelemetry GenAI traces, eval datasets, prompt experiments, latency/cost debugging, trace scoring, or…
原文の言語: 英語
Render a 4-panel regional LocusCompare diagnostic for one (lead variant, exposure study, outcome study) tuple - overlays GWAS Manhattan, QTL Manhattan, GENCODE gene track, and cross-trait scatter colored by LD r². Use when an agent needs visual confirmation…
原文の言語: 英語
Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with…
原文の言語: 英語
Analyze data using MATLAB. Use when the task involves tables, timetables, time-series data, numeric arrays, sensor matrices, or gridded data — including but not limited to exploring, filtering, sorting, cleaning, transforming, aggregating, smoothing, padding,…
原文の言語: 英語
Analyze the effective toolbox file set to produce a Dependency Manifest — classify all transitive dependencies as included, product, add-on, or external-unresolved, then present resolution options with tradeoffs. Use after matlab-define-toolbox-api when the…
原文の言語: 英語
Assess toolbox readiness and suggest improvements — validates help text, tests, coverage, code issues, dependencies, and function signatures. Produces a punch list and can execute fixes via delegate skills on user approval. Use before packaging or when asked…
原文の言語: 英語