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Claude Skills by stanfish06
github.com/stanfish061,787 skills13 installs1,944 views
- Pydantic Ai HarnessExtend Pydantic AI agents with batteries-included capabilities from pydantic-ai-harness -- Code Mode (collapse many tool calls into one sandboxed Python execution), a filesystem and shell, sub-agents, planning, context compaction, and more. Use when the user mentions pydantic-ai-harness, CodeMode, Monty, code mode, or tool sandboxing, when they want first-party filesystem/shell/sub-agent/planning/compaction capabilities for a Pydantic AI agent, when they want an agent to run agent-written Pyt...Votes: 0GitHub stars: 8
- PydicomPython library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, ...Votes: 0GitHub stars: 8
- PyhealthBuild clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eICU, OMOP, SleepEDF, ChestXray14, EHRShot), defining tasks (mortality, readmission, length-of-stay, drug recommendation, sleep staging, ICD coding, EEG events), instantiating models (Transformer, RETAIN, GAMENet, SafeDrug, MICRON, StageNet, AdaCare, CNN/RNN/MLP), training with the PyHealth Trainer, computing clinical metrics, and using medical code utilities (ICD/ATC/NDC/RxNor...Votes: 0GitHub stars: 8
- PylabrobotVendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons, plate readers, pumps) or needing unified programming across different vendors. Best for complex workflows, multi-vendor setups, simulation. For Opentrons-only protocols with official API, opentrons-integration may be simpler.Votes: 0GitHub stars: 8
- PymatgenMaterials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.Votes: 0GitHub stars: 8
- PymcBayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.Votes: 0GitHub stars: 8
- PymolVisualize, analyze, and render protein and molecular structures using PyMOL. Use when the user wants to create images of protein structures, perform structural alignments or superposition, measure distances or contacts, highlight binding sites or active site residues, color by B-factor/pLDDT, or analyze protein-ligand interactions. Do not use for docking, molecular dynamics, or sequence-only analysis.Votes: 0GitHub stars: 8
- PymooMulti-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.Votes: 0GitHub stars: 8
- PyroscopeContinuously profile applications with Grafana Pyroscope and read the result as flame graphs. Covers three instrumentation paths — language SDK push (Go / Java / Python / Ruby / Node / .NET / Rust), Alloy eBPF auto-instrumentation (no code change, requires kernel 5.8+ with BTF), and SDK → Alloy receiver — plus ProfileQL queries, profile types (CPU / memory / allocations / goroutines / mutex), Grafana Cloud Profiles endpoint, and Span Profiles trace-to-profile linking. Use when adding profilin...Votes: 0GitHub stars: 8
- PytdcTherapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.Votes: 0GitHub stars: 8
- PytestTesting Python code with pytest — fixtures, parametrization, markers, mocking, coverage, and configuration. Use when writing or running Python tests, setting up a test suite, debugging failing tests, adding fixtures or parametrized cases, measuring coverage, or configuring pytest in pyproject.toml. Pairs with test-driven-development for the workflow/methodology.Votes: 0GitHub stars: 8
- Pytorch LightningDeep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.Votes: 0GitHub stars: 8
- PyzoteroInteract with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.Votes: 0GitHub stars: 8
- QiskitIBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.Votes: 0GitHub stars: 8
- Quality Six Sigma EngineerExpert-thinking profile for Quality / Six Sigma Engineer (DMAIC/DMADV / SPC & capability / measurement systems analysis / APQP-PPAP automotive / ISO 9001 auditing): Reasons from process variation, defect operational definitions, and customer-critical characteristics through Shewhart control charts, Gage R&R (%GRR, ndc), Cp/Cpk and Pp/Ppk capability, DMAIC tollgates, and AIAG PPAP/PFMEA in Minitab or JMP while treating Cpk on unstable processes, attribute data forced as normal...Votes: 0GitHub stars: 8
- Quantitative BiologistExpert-thinking profile for Quantitative Biologist (computational / live-imaging / dynamical systems biology): Reasons from SBML/PEtab ODE models, structural and profile-likelihood identifiability, Bayesian inference (Stan/PyMC/AMICI), and live- cell pipelines (Cellpose/TrackMate/PhotoFiTT, REMBI); treats sloppiness, phototoxicity, and segmentation-tracking artifacts as first-class failure modes.Votes: 0GitHub stars: 8
- Quantum ChemistExpert-thinking profile for Quantum Chemist (computational / ab initio electronic structure theory): Reasons from the Schrödinger equation through HF, MP2/CCSD(T)/CBS, and multireference (CASSCF/CASPT2); uses ORCA/Psi4/Gaussian with GMTKN55/WTMAD-4 validation, T1/D1 diagnostics, Helgaker CBS extrapolation, and BSSE/spin-contamination checks while treating SCF near-degeneracy, intruder states, and global-vs-local...Votes: 0GitHub stars: 8
- Quantum Computing ScientistExpert-thinking profile for Quantum Computing Scientist (experimental / computational / NISQ hardware & fault tolerance): Reasons from qubits as noisy open systems through T1/T2, gate fidelity, RB/GST/XEB, and quantum volume to surface-code QEC; compiles with Qiskit/Cirq, applies ZNE/PEC/readout mitigation, and treats crosstalk, transpilation depth, and calibration drift as first-class failure modes.Votes: 0GitHub stars: 8
- Quantum Information ScientistExpert-thinking profile for Quantum Information Scientist (theoretical / experimental QIS): Reasons from qubits as open systems, gate fidelities, and error correction while treating crosstalk and calibration drift as first-class failure modes.Votes: 0GitHub stars: 8
- Quantum Optics ScientistExpert-thinking profile for Quantum Optics Scientist (optical bench / single-photon & squeezed-light / cavity QED / correlation & homodyne metrology): Reasons from field quadratures, atom-photon coupling (g, κ, γ), and heralding efficiency budgets through g⁽²⁾ Hanbury Brown-Twiss measurement, balanced homodyne tomography, HOM interference, and SNSPD/APD detector calibration while treating afterpulsing-faked antibunching, LO phase drift erasing squeezing, accidentals...Votes: 0GitHub stars: 8
- Quantum PhysicistExpert-thinking profile for Quantum Physicist (theory / quantum information / open- system dynamics / device benchmarking / multi-platform hardware (superconducting, trapped-ion...): Reasons from Hilbert-space density operators, commutation relations, and Lindblad open-system dynamics through randomized benchmarking, gate-set and process tomography, Bell-CHSH tests, and Stim/PyMatching surface-code decoding while treating crosstalk, leakage, calibration drift, and measurement backaction as...Votes: 0GitHub stars: 8
- Quaternary ScientistExpert-thinking profile for Quaternary Scientist (field geochronology / glacial geomorphology / multi-proxy paleoclimate / ice-core & tephra correlation): Reasons from dated landform-sediment-proxy associations, multi-method chronology, and ice-age cyclicity (MIS, orbital forcing) through radiocarbon/OSL/cosmogenic dating, Bayesian age models (OxCal, Bacon, IntCal20), tephrochronology, and GIA models while treating uncalibrated 14C years, incomplete OSL bleaching...Votes: 0GitHub stars: 8
- Query AlphafoldQuery 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".Votes: 0GitHub stars: 8
- Query ClinvarQuery ClinVar for clinical variant significance. Use when user asks about variant pathogenicity, genetic variants, clinical significance, or disease-causing mutations. Triggers on "clinvar", "pathogenic", "variant significance", "clinical significance", "disease variant", "mutation pathogenicity".Votes: 0GitHub stars: 8
- Query EnsemblQuery 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 location", "rsid", "rs number".Votes: 0GitHub stars: 8
- Query GeoQuery NCBI GEO for gene expression datasets. Use when user asks about RNA-seq datasets, microarray data, expression data, GEO accessions, or finding public datasets. Triggers on "geo", "gene expression omnibus", "expression dataset", "RNA-seq dataset", "microarray dataset", "GSE", "GDS".Votes: 0GitHub stars: 8
- Query KeggQuery 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".Votes: 0GitHub stars: 8
- Query StringdbQuery STRING for protein-protein interactions. Use when user asks about protein interactions, interaction networks, binding partners, or interactome. Triggers on "string", "protein interaction", "interaction network", "binding partners", "interactome", "PPI".Votes: 0GitHub stars: 8
- Query UniprotQuery UniProt protein database. Use when user asks about protein sequences, functions, annotations, domains, or protein identifiers. Triggers on "uniprot", "protein function", "protein sequence", "gene product", "protein info".Votes: 0GitHub stars: 8
- QutipQuantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.Votes: 0GitHub stars: 8
- Radare2Use this skill whenever the user wants to analyze binaries with radare2/r2 from the command line, including reverse engineering, disassembly, function analysis, strings/import inspection, patching, binary diffing, hex inspection, or r2 scripting. Also use it when the user mentions PE/ELF/Mach-O/DEX/WASM files together with CLI analysis, `rabin2`, `rasm2`, `radiff2`, `r2pipe`, or asks for radare2 command help on Windows/Linux/macOS.Votes: 0GitHub stars: 8
- Radiation Oncology PhysicistExpert-thinking profile for Radiation Oncology Physicist (clinical / research): Reasons from absorbed dose, fluence, beam geometry, and constraint-driven plan quality through TG-51/TRS-398 reference dosimetry, TPS engines (AAA, Acuros XB, Monte Carlo), DVH metrics, and gamma-based patient-specific QA while treating stale CT-to-density tables, couch-shift sign errors, MLC leaf-bank swaps, and...Votes: 0GitHub stars: 8
- Radio AstronomerExpert-thinking profile for Radio Astronomer (interferometry / uv-plane imaging / spectral-line & polarization / time-domain (pulsars, FRBs)): Expert profile for radio astronomer — see AGENTS.md for field-specific methods and failure modes.Votes: 0GitHub stars: 8
- RadiochemistExpert-thinking profile for Radiochemist (tracer synthesis / radiopharmaceutical QC / cyclotron-generator production / dosimetry / GMP release (USP <823>, FDA 21 CFR 212)): Reasons from radionuclide half-life, specific activity, radiochemical purity, and dosimetry through analytical/prep HPLC with radiodetector, iTLC, HPGe γ-spectroscopy, OLINDA/MIRD, and USP <823>/EANM release specs while treating defluorination, transchelation of ⁶⁸Ga/⁸⁹Zr, ⁹⁹ᵐTc colloid and ⁶⁸Ge breakthrough as...Votes: 0GitHub stars: 8
- RadiologistExpert-thinking profile for Radiologist (clinical / diagnostic imaging interpretation): Reasons from modality–question fit, contrast kinetics, and ACR Appropriateness Criteria (1–9); applies BI-RADS, LI-RADS, PI-RADS, and Lung-RADS with Fleischner/incidental-findings algorithms; integrates PACS/RIS/DICOM/IHE workflows, CTDIvol/DLP/DIR dose stewardship, and critical-results communication while treating...Votes: 0GitHub stars: 8
- Rare Disease RnaseqBlood RNA-seq expression-outlier detection for rare-disease diagnostics. Cases scored against a control reference panel; outliers ranked and filtered by a haploinsufficient disease-gene panel.Votes: 0GitHub stars: 8
- RayDistributed Python compute with Ray — @ray.remote tasks/actors for cluster-scale parallelism, Ray Data for large-batch preprocessing, Ray Train for distributed model training (DDP/FSDP/DeepSpeed), Ray Tune for scalable hyperparameter search, and Ray Serve for model serving. Use when scaling a Python workload (docking screens, million-cell atlas preprocessing, hyperparameter sweeps, multi-GPU training) from a laptop to a multi-node cluster with minimal code changes. Ray Tune can use optuna as ...Votes: 0GitHub stars: 8
- RdkitCheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.Votes: 0GitHub stars: 8
- React And Nextjs Data VisualizationIntegrate data visualizations into React and Next.js applications. Use when the user needs chart components, UML-like or architecture diagram components, React integration patterns, Next.js client or server boundaries, hydration-safe rendering, lazy loading, framework-aware performance, scroll-driven visual stories, or export guidance.Votes: 0GitHub stars: 8
- React Best PracticesReact and Next.js performance optimization guidelines from Vercel Engineering. Use when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.Votes: 0GitHub stars: 8
- React Three Fiber GameBuild React-hosted 3D browser games with React Three Fiber. Use when the user wants pmndrs-based scene composition, shared React state, and 3D HUD integration inside a React app.Votes: 0GitHub stars: 8
- Reaction Engineering SpecialistExpert-thinking profile for Reaction Engineering Specialist (kinetics / reactor design / catalysis / RTD & calorimetry / thermal-hazard & scale-up): Reasons from rate laws, stoichiometry, residence-time distributions, and coupled heat-rate balances through LHHW and Michaelis-Menten kinetics, Thiele/effectiveness and Weisz-Prater diffusion criteria, tracer RTD models, and RC1/ARC calorimetry while treating thermal runaway, hot spots, catalyst deactivation...Votes: 0GitHub stars: 8
- Reconciler LogicImplement reconcilers and watchers for grafana-app-sdk apps — write `TypedReconciler[*MyKind]` reconcile functions, apply generation-based skip patterns, do conflict-safe status updates via `resource.UpdateObject`, configure `BasicReconcileOptions` (namespace, label/field filters, finalizer management), use `Watcher` for event-style handling, reconcile `UnmanagedKinds` (resources your app doesn't own), and register the whole thing in `app.go`. Use when writing a reconciler, implementing the r...Votes: 0GitHub stars: 8
- Redesign Existing ProjectsUpgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.Votes: 0GitHub stars: 8
- Redis ObservabilityRedis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops/sec, rejected connections), which built-in commands to reach for during incident triage (SLOWLOG, INFO, MEMORY DOCTOR, CLIENT LIST, FT.PROFILE), and when to use the Redis Insight GUI. Use when setting up monitoring or alerts for a Redis instance, diagnosing a performance regression, profiling a slow FT.SEARCH query, or wiring Redis metrics into Prometheus, Datadog, or similar.Votes: 0GitHub stars: 8
- Redis SearchRedis Search guidance covering FT.CREATE schema design, field type selection (TEXT, TAG, NUMERIC, GEO, GEOSHAPE, VECTOR, JSON path), DIALECT 2 query syntax, FT.SEARCH / FT.AGGREGATE / FT.HYBRID command selection, vector similarity with HNSW or FLAT, hybrid retrieval combining lexical and vector ranking, RAG pipelines, zero-downtime index updates via aliases, and debugging with FT.PROFILE and FT.EXPLAIN. Use when defining a search index on Hash or JSON documents, writing FT.SEARCH queries with...Votes: 0GitHub stars: 8
- Regenerative Medicine ScientistExpert-thinking profile for Regenerative Medicine Scientist (wet-lab / translational CGT, tissue engineering & ATMP CMC): Reasons from potency assurance, 361 vs 351/ATMP pathways, USP <1043> ancillary tiers, G-Rex/closed CAR-T manufacture, MSC matrix potency, and ISO 10993/dECM scaffolds while treating comparability-without-bioassay and CFU-F-as-potency as first-class failure modes.Votes: 0GitHub stars: 8
- Regulatory Affairs ScientistExpert-thinking profile for Regulatory Affairs Scientist (regulatory / drug & biologic development (IND–MAA)): Reasons from CTD/eCTD Modules 1–5 traceability, FDA Type B/EOP and EMA PRIME/scientific-advice strategy, ICH Q8–Q12 lifecycle CMC, and expedited pathways (BTD/RMAT/accelerated approval); treats RTF, clinical-hold CMC gaps, ignored meeting minutes, and eCTD validation failures as first-class failure modes.Votes: 0GitHub stars: 8
- Rehabilitation ScientistExpert-thinking profile for Rehabilitation Scientist (clinical / biomechanics lab / implementation-science rehabilitation research): Reasons from ICF/disablement models, COSMIN MCID/MDC triangulation, TIDieR-Rehab/CONSORT 2025 trial design, gait lab and PROMIS outcomes, motor-learning mechanisms, and RE-AIM implementation science; treats natural recovery, therapist allegiance, and lab-vs-function confounds as first-class failure modes.Votes: 0GitHub stars: 8
- Reinforcement Learning ResearcherExpert-thinking profile for Reinforcement Learning Researcher (computational / deep RL & sim-to-real): Reasons from MDP/POMDP and Bellman operators through DQN/PPO/SAC/TD3, MuJoCo/Atari/Procgen/Brax benchmarks, offline RL (CQL/IQL), reward-hacking diagnostics, Gymnasium/CleanRL/SB3 stacks, and NeurIPS/ICML/CoRL seed-stratified evaluation with bootstrap CIs.Votes: 0GitHub stars: 8