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SkillsMP は stanfish06/my-skills から 580 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/my-skills収集済み skill 580 件中 40 件を表示しています。
Primary W&B skill for broad or mixed Weights & Biases work: project overviews, W&B runs and artifacts, Weave traces and evaluations, Reports, Signal Builder, and Launch workflows. Use when the task spans multiple W&B surfaces or the user asks generally what…
原文の言語: 英語
Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.
原文の言語: 英語
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize…
原文の言語: 英語
Classify germline variants from VCF/BCF files according to the ACMG/AMP 2015 28-criteria evidence framework and generate clinical-grade interpretation reports with per-variant evidence audit trails and ACMG SF v3.2 secondary findings screening.
原文の言語: 英語
Wrapper skill for running nf-core/rnaseq bulk RNA-seq preprocessing from FASTQ or BAM inputs with strict preflight, reproducibility outputs, and downstream handoff to ClawBio bulk RNA-seq DE skills.
原文の言語: 英語
ClawBio wrapper around nf-core/sarek 3.8.1 covering mapping through annotation for germline, tumor-only, and somatic paired analyses.
原文の言語: 英語
Wrapper skill for running nf-core/scrnaseq 4.1.0 upstream single-cell RNA-seq preprocessing from FASTQ with strict preflight, reproducibility outputs, and downstream handoff to ClawBio scRNA skills.
原文の言語: 英語
Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster…
原文の言語: 英語
Compute organ-specific biological age from Olink proteomic data using Goeminne et al. (2025) elastic net aging clocks.
原文の言語: 英語
Query AlphaFold protein structure predictions. Use when user asks about protein structure, 3D structure, protein folding, or structure prediction. Triggers on "alphafold", "protein structure", "3D structure", "folding", "pLDDT", "structure prediction".
原文の言語: 英語
Query Ensembl for genomic data. Use when user asks about gene coordinates, genomic sequences, variants, gene structure, exons, transcripts, or species comparison. Triggers on "ensembl", "gene coordinates", "genomic location", "exon", "transcript", "variant…
原文の言語: 英語
Query KEGG for biological pathways and gene info. Use when user asks about metabolic pathways, signaling pathways, pathway genes, or KEGG IDs. Triggers on "kegg", "pathway", "metabolic pathway", "signaling pathway", "pathway genes".
原文の言語: 英語
Analyze DNA/RNA/protein sequences. Use when the user provides a sequence and asks for analysis, translation, GC content, ORFs, motifs, restriction sites, or primer design. Triggers on "sequence", "translate", "GC content", "ORF", "primer", "restriction",…
原文の言語: 英語
Step 5 of the bio-manuscript pipeline: design the analysis-method system. Use when planning which analyses, tools, and biological validations support each figure and task, mapping analyses to BioClaw-compatible tools or fallbacks, and connecting analyses to…
原文の言語: 英語
Step 3 of the bio-manuscript pipeline: find and match public datasets to manuscript tasks. Use when extracting datasets from related papers or searching repositories (e.g. GEO), normalizing dataset metadata, and mapping datasets to the task system.
原文の言語: 英語
Step 6 of the bio-manuscript pipeline: design manuscript figures panel by panel. Use when planning figure logic, panel content, supplementary figures, and draft captions, keeping figure logic synchronized with manuscript claims.
原文の言語: 英語
Phase 2.6 of the bio-manuscript pipeline: human review checkpoint. Use when presenting a refined proposal to a human reviewer, collecting explicit feedback, recording approval or requested changes, and routing the workflow back to the correct phase.
原文の言語: 英語
Step 1 of the bio-manuscript pipeline: assess research-idea novelty. Use when expanding a topic into variants/synonyms, searching PubMed/bioRxiv/arXiv q-bio, de-duplicating related papers, assigning a novelty level, and suggesting how to sharpen or reposition…
原文の言語: 英語
End-to-end bio-manuscript planning pipeline orchestrator: turn structured research input into a full manuscript plan. Use to run the multi-step workflow (innovation check, task/dataset/metric/analysis design, figure design, drafting, refinement) phase by…
原文の言語: 複数言語
Refinement loop for the bio-manuscript pipeline: three-reviewer iterative optimization (editor, computational, biological). Use when reviewing a manuscript plan, producing structured review comments, revising round by round, and tracking score and revision…
原文の言語: 英語
Step 7 of the bio-manuscript pipeline: draft the main manuscript text. Use when writing the Introduction, Results (around the figure logic), Discussion, and a Methods skeleton from the figure plan, metric system, and analysis system.
原文の言語: 英語
Step 4 of the bio-manuscript pipeline: design the evaluation-metric system. Use when extracting quantitative and qualitative metrics from literature or adjacent fields, organizing them into groups, and explaining what each metric measures and how to compute…
原文の言語: 英語
Generate a presentation package from a finalized bio-manuscript proposal. Use when producing a 10-15 slide, Markdown-first presentation outline (group-meeting / 组会 style) from FINAL_PROPOSAL.md plus demo or validation results.
原文の言語: 英語
Step 2 of the bio-manuscript pipeline: design the task system. Use when identifying the dominant task taxonomy in a field and organizing it into a staged Level 1-4 difficulty ladder to prepare for downstream dataset and metric design.
原文の言語: 英語
Decision guide for delegating to caveman-style subagents. Tells the main thread WHEN to spawn `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit), or `cavecrew-reviewer` (diff review) instead of doing the work inline or using vanilla…
原文の言語: 英語
Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as…
原文の言語: 英語
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk…
原文の言語: 英語
Show real token usage and estimated savings for the current session. Reads directly from the Claude Code session log — no AI estimation. Triggers on /caveman-stats. Output is injected by the mode-tracker hook; the model itself does not compute the numbers.
原文の言語: 英語
Scaffold a complete cave plugin bundle — generates .cave-plugin/plugin.json manifest and the standard directory structure (commands/, skills/, agents/, themes/, hooks/). Use when a user wants to create, publish, or package a cave plugin for the marketplace.…
原文の言語: 英語
Example skill loaded from resources_discover
原文の言語: 英語
Atheris is a coverage-guided Python fuzzer based on libFuzzer. Use for fuzzing pure Python code and Python C extensions.
原文の言語: 英語
Expert-thinking profile for Accelerator Physicist (experimental / beam physics): Reasons from beam optics, RF cavities, emittance budgets, and loss maps while treating halo and impedance-driven instabilities as first-class failure modes.
原文の言語: 英語
Expert-thinking profile for Acoustical Engineer (noise control / building & environmental acoustics / NVH / standards (IEC 61672, ISO 9613-2)): Reasons from source-path-receiver control, logarithmic decibel levels, and mass-law transmission loss through IEC…
原文の言語: 英語
Expert-thinking profile for Acoustics Physicist (wave acoustics / ultrasonics & underwater / transducer & array / impedance tube & anechoic / standards (ISO 10534, IEC 61672)): Reasons from impedance Z=p/u, Helmholtz number kL regime, and the sonar equation…
原文の言語: 英語
Expert-thinking profile for Actuarial Scientist (life / health / P&C / valuation / capital & accounting): Reasons from mortality tables (qx, period/cohort, select/ultimate) and Chain-Ladder/Mack reserving through GLM/GAM frequency–severity and Tweedie…
原文の言語: 英語
Expert-thinking profile for Additive Manufacturing Engineer (LPBF / DED metal AM / qualification): Reasons from melt-pool physics, VED, and thermal history through LPBF vs DED process selection, build orientation anisotropy, support design, powder lot…
原文の言語: 英語
Expert-thinking profile for Aerodynamicist (wind tunnel / CFD / flight vehicle external aerodynamics): Reasons from circulation, Cp distributions, and boundary-layer physics through Re/Mach similitude, NACA airfoil polars, stall classification, wind- tunnel…
原文の言語: 英語
Expert-thinking profile for Aeronautical Engineer (fixed-wing aircraft design / certification / flight test): Reasons from airfoil polars, drag buckets, and static margin through AVL/DATCOM stability derivatives, wind-tunnel blockage and wall corrections, FAR…
原文の言語: 英語
Expert-thinking profile for Aeronomy Scientist (remote sensing / MLT-thermosphere- ionosphere / ISR + resonance lidar / tides & coupling / empirical models (IRI, NRLMSIS)): Reasons from MLT lidar and ISR profiles through IRI/NRLMSIS benchmarks, treating…
原文の言語: 英語
Expert-thinking profile for Aerospace Engineer (margin management / aero-structures- propulsion-GNC / V&V (FAR/CS, DO-178C, NASA-STD) / CFD-FEA-flight test): Reasons from margin-managed factors of safety, mass properties, and the analysis-test-similarity V&V…
原文の言語: 英語