Claude Skills by stanfish06

Replay-first debug flow for SGLang serving problems. Use when a live or recent server shows health-check failures, latency or throughput regressions, queue growth, timeouts, distributed stalls, crash dumps, wrong outputs after deploys, or PD/EP/HiCache issues, and the job is to turn the problem into a replay plus the right next debug tool.

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box mo...

Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.

Write or explain **Admin GraphQL** queries and mutations for apps and integrations that extend the Shopify admin. Use when the user wants to **understand, design, or generate** the operation itself—even before deciding how to run it. Do **not** choose `admin` first for **app or extension config validation** —use **`use-shopify-cli`**. Do **not** choose `admin` first to **execute** Admin GraphQL **now via Shopify CLI** or for CLI setup/troubleshooting on store workflows—use **`use-shopify-cli`...

Run a pre-submission compliance check against your Shopify app's codebase. Reviews App Store requirements and surfaces likely issues before you submit for official review.

Use first when prompts mention Metafields or Metaobjects. Use Metafields and Metaobjects to model and store custom data for your app. Metafields extend built-in Shopify data types like products or customers, Metaobjects are custom data types that can be used to store bespoke data structures. Metafield and Metaobject definitions provide a schema and configuration for values to follow.

The Customer Account API allows customers to access their own data including orders, payment methods, and addresses.

Search Shopify developer documentation across all APIs. Use only when no API-specific skill applies.

Shopify Functions allow developers to customize the backend logic that powers parts of Shopify. Available APIs: Discount, Cart and Checkout Validation, Cart Transform, Pickup Point Delivery Option Generator, Delivery Customization, Fulfillment Constraints, Local Pickup Delivery Option Generator, Order Routing Location Rule, Payment Customization

Hydrogen storefront implementation cookbooks. Some of the available recipes are: B2B Commerce, Bundles, Combined Listings, Custom Cart Method, Dynamic Content with Metaobjects, Express Server, Google Tag Manager Integration, Infinite Scroll, Legacy Customer Account Flow, Markets, Partytown + Google Tag Manager, Subscriptions, Third-party API Queries and Caching. MANDATORY: Use this API for ANY Hydrogen storefront question - do NOT use Storefront GraphQL when 'Hydrogen' is mentioned.

Liquid is an open-source templating language created by Shopify. It is the backbone of Shopify themes and is used to load dynamic content on storefronts. Keywords: liquid, theme, shopify-theme, liquid-component, liquid-block, liquid-section, liquid-snippet, liquid-schemas, shopify-theme-schemas

Get started building on Shopify. Use when a developer asks to build an app, build a theme, create a dev store, set up a partner account, scaffold a project, or get started developing for Shopify. NOT for merchants managing stores.

Set up and connect a Shopify store from your AI assistant. Use when the user wants to: set up my Shopify store, connect my store, install Shopify plugin, get started with Shopify, manage my store, add products to my store, merchant onboarding, start selling online, Shopify setup help, create my first store, how do I set up an online store, import products, migrate from Square, migrate from WooCommerce, migrate from Etsy, migrate from Amazon, migrate from eBay, migrate from Wix, import from Go...

The Partner API lets you programmatically access data about your Partner Dashboard, including your apps, themes, and affiliate referrals.

The Payments Apps API enables payment providers to integrate their payment solutions with Shopify's checkout.

Add custom actions and blocks from your app at contextually relevant spots throughout the Shopify Admin. Admin UI Extensions also supports scaffolding new adminextensions using Shopify CLI commands.

Build your app's primary user interface embedded in the Shopify admin. If the prompt just mentions `Polaris` and you can't tell based off of the context what API they meant, assume they meant this API.

Build custom functionality that merchants can install at defined points in the checkout flow, including product information, shipping, payment, order summary, and Shop Pay. Checkout UI Extensions also supports scaffolding new checkout extensions using Shopify CLI commands.

Build custom functionality that merchants can install at defined points on the Order index, Order status, and Profile pages in customer accounts. Customer Account UI Extensions also supports scaffolding new customer account extensions using Shopify CLI commands.

Build retail point-of-sale applications using Shopify's POS UI components. These components provide a consistent and familiar interface for POS applications. POS UI Extensions also supports scaffolding new POS extensions using Shopify CLI commands. Keywords: POS, Retail, smart grid

Use for custom storefronts requiring direct GraphQL queries/mutations for data fetching and cart operations. Choose this when you need full control over data fetching and rendering your own UI. NOT for Web Components - if the prompt mentions HTML tags like <shopify-store>, <shopify-cart>, use storefront-web-components instead.

Choose when the user needs **Shopify CLI** to run or fix something now: validate app or extension config on disk (`shopify.app.toml`, `shopify.app.<name>.toml`, `shopify.extension.toml`); run or troubleshoot store workflows (`shopify store auth`, `shopify store execute`); inventory or product changes by handle, SKU, or location name; or CLI setup, auth, upgrade issues. Emphasize **commands and operational steps**, not only authoring GraphQL. Skip for API-only understanding or codegen with no ...

Help the user understand the current topic visually with concise diagrams, code-shape sketches, and focused HTML artifacts.

Expert-thinking profile for Signal Processing Engineer (DSP algorithm design / detection & estimation / spectral analysis / multirate & adaptive filtering / fixed- point bit-true sign-off): Reasons from the sampling theorem, LTI system functions H(z), and sufficient statistics for detection through Parks-McClellan filter design, Welch and multitaper spectral estimation, matched filters and CFAR detection, and bit- true fixed-point verification while treating aliasing, leakage and scalloping, ...

Inspect macOS signing, entitlements, and Gatekeeper issues. Use when diagnosing code signing, sandbox, hardened runtime, or trust failures.

Expert-thinking profile for Single-Cell Biologist (wet-lab / computational single-cell genomics): Reasons from assay chemistry, sample-level replication, cell-state manifolds, and metadata provenance; treats ambient RNA, doublets, dissociation stress, batch, and pseudoreplication as core failure modes.

Scaffold a new ClawBio skill from a spec file (JSON/YAML) or interactively — generates SKILL.md, Python skeleton, tests, and updates catalog.json

Browse and install community skills from the BioClaw Skills Hub. Use when a user's task is not covered by built-in skills, or when the user asks about available skills, advanced workflows, or specialized analysis pipelines. Triggers on "skills hub", "more skills", "install skill", "community skills", "find a skill for".

Read Slack context, route to the right Slack workflow, and prepare or perform Slack writes that match the user's intent.

Expert-thinking profile for Sleep Scientist (clinical / polysomnography / circadian & sleep physiology research): Reasons from Borbély Process S/C homeostatic–circadian integration, AASM v3 PSG scoring (1A/1B hypopnea rules), DLMO/forced desynchrony phase assays, MSLT/ICSD-3 hypersomnolence criteria, Cole-Kripke/Sadeh actigraphy, NSRR/SHHS cohorts, and CBT-I/CPAP trial design while treating first-night effect, actigraphy wake...

Smart File Renaming skill for Datasite deal rooms. Use this skill whenever a deal team wants to standardise document names, clean up scanned file names, normalise naming across similar document types, or improve the professionalism of the data room before going live. Triggers include: "rename the files", "clean up the file names", "standardise naming", "the file names are a mess", "fix the document names", "rename scanned documents", "make the naming consistent", "tidy up the data room", or a...

Python-based workflow manager for reproducible, scalable pipelines. Define rules with file-based dependencies; Snakemake resolves execution order and parallelism. Runs local, SLURM, LSF, AWS, GCP via profiles; per-rule conda/Singularity envs. For NGS pipelines, ML training, and multi-step file processing. Use Nextflow for Groovy dataflow or nf-core integration.

Expert-thinking profile for Soft Matter Physicist (experimental / computational / condensed matter): Reason from kT and mesoscale structure; couple rheology (TA Instruments, Anton Paar), scattering (SANS/SAXS/DLS/XPCS), and PIV to Flory-Huggins, de Gennes scaling, jamming, and active-matter hydrodynamics.

Expert-thinking profile for Soil Ecologist (field / lab biogeochemistry / molecular soil ecology): Reasons from soil food webs (nematode EI/SI/CI), PLFA phenotypes, amoA/nirK/nifH qPCR, and 16S/ITS/metagenomics through gross 15N pool dilution and C/N priming while treating tillage, compaction, and fire recovery, compositional bias, and DNA-activity gaps as first-class failure modes.

Expert-thinking profile for Soil Fertility Scientist (soil testing / nutrient management / 4R stewardship / liming & pH / precision-ag VRT): Reasons from plant- available nutrient supply, pH-governed availability, and CEC/base saturation through Mehlich-3 extraction, buffer-pH lime calculations with ECCE/ENM, 4R stewardship, and regional extension calibration while treating uncalibrated cross-extractant comparison, no-till stratification, environmental...

Expert-thinking profile for Soil Scientist (pedology / soil physics & chemistry / classification (USDA Taxonomy, WRB) / land evaluation): Reasons from CLORPT genetic horizonation, matric-potential water flow, and colloid exchange chemistry through Munsell pedon description, USDA Soil Taxonomy and WRB keys, buffer-pH lime calculation, and HYDRUS/RUSLE2/PHREEQC modeling while treating wrong-extractant nutrient values (Mehlich-3 vs Olsen)...

Expert-thinking profile for Solar Physicist (heliophysics / MHD / multi-wavelength remote sensing / space weather (SDO, PSP)): Reasons from magnetic field topology, plasma beta, reconnection, and radiative transfer through DEM inversion, NLFFF/PFSS extrapolation, coronal seismology, and WSA-ENLIL forecasting while treating single- channel AIA temperature claims, HMI disambiguation ambiguity at the PIL, limb projection artifacts, and...

MinHash/FracMinHash sketching for alignment-free comparison of genomes and metagenomes. Use for fast all-vs-all genome similarity and ANI estimation across thousands of genomes without alignment, taxonomic classification of metagenomes against GTDB/NCBI reference databases (sourmash gather/tax), and sequencing-cohort QC (contamination or duplicate detection). Complements upstream assembly/QC pipelines (snakemake-workflow-engine, nextflow) and feeds downstream phylogenetics; distinct from alig...

Expert-thinking profile for Space Weather Scientist (observational / computational / operational heliophysics): Reasons from Dungey coupling and prolonged southward Bz through ICME vs. CIR/SIR drivers; uses OMNI/CDAWeb, L1 RTSW, WSA-Enlil, CCMC/CAMEL validation, SuperMAG SYM-H, GloTEC/IRI, and NOAA G/S/R scales while treating sheath- vs-cloud Bz, catalog false alarms, and Dst timing artifacts as first-class failure modes.

Spatial omics workflows with SpatialData and Squidpy alongside scanpy, anndata, and napari-viz. Use when working with Visium, Xenium, CosMx, MERFISH, Slide-seq, spatial transcriptomics, spatial proteomics, tissue images linked to AnnData, spatial neighbor graphs, spatial autocorrelation, ligand-receptor proximity, image features, or napari-spatialdata.

Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea.

Runs the Spec-Kit (GitHub SDD) artifact pipeline — constitution, spec, clarify, plan, tasks, analyze, implement — using its templates. Use when a feature needs a versioned spec/plan/tasks set under specs/NNN-feature/, when requirements must be pinned before any code, or when checking spec-plan-tasks consistency before implementing.

Expert-thinking profile for Spectroscopist (wet-lab / optical & magnetic spectroscopy (UV-Vis/fluorescence/IR-Raman/NMR/EPR/XAS) / peak assignment & quantitation / instrument QC &...): Reasons from selection rules, line shapes as convolutions of intrinsic and instrument broadening, and Beer-Lambert linearity through UV-Vis, fluorescence, IR/Raman, NMR, CD, EPR, and XAS/XPS with calibration standards (polystyrene 1601 cm⁻¹, TMS/DSS, C 1s 284.8 eV) while treating inner filter effects, baseline...

Expert-thinking profile for Spintronics Physicist (thin-film fab / magneto-transport / spin dynamics (ST-FMR, MTJ/SOT) / micromagnetics): Reasons from spin-orbit coupling, spin diffusion length, exchange and DMI, and spin-dependent transport through MTJ/TMR characterization, ST-FMR and harmonic-Hall torque measurement, nonlocal spin valves, and Valet-Fert and MuMax3/OOMMF modeling, while treating barrier pinholes and shunt paths...

Expert-thinking profile for Sports Scientist (applied / field & lab / team & individual performance monitoring): Reasons from periodization and session- RPE/ACWR/GPS load monitoring, VALD force-plate readiness, SWC/TE decision bands, and IOC/STROBE-SIIS/CERT/CONSORT reporting while treating pseudoreplication, Hawthorne reactivity, and single-metric injury claims as first-class failure modes.

Generate and normalize 2D sprite animations. Use when the user asks for full-strip generation from approved source frames, consistent anchor and scale normalization, or preview assets for browser-game animation.

The standard Python SQL toolkit and ORM — 2.x style only. Covers declarative models with DeclarativeBase/Mapped/mapped_column, engine and session lifecycle, CRUD with select() and Session.scalars(), relationships and eager loading (selectinload vs joinedload), transactions, async engines, and Alembic migrations. Use when defining database models in Python, querying relational databases (PostgreSQL, SQLite, MySQL) from application code, wiring a database into FastAPI, fixing N+1 or DetachedIns...

SQLite expert for WAL mode, query optimization, embedded patterns, and advanced features. Use when working with .sqlite/.db files, SQLite schema design or migrations, PRAGMA tuning, FTS5 full-text search, JSON1, EXPLAIN QUERY PLAN, SQLITE_BUSY or locking errors, or choosing between SQLite and a client-server database.

Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for standard RL experiments, quick prototyping, and well-documented algorithm implementations. Best for single-agent RL with Gymnasium environments. For high-performance parallel training, multi-agent systems, or custom vectorized environments, use pufferlib instead.

Use when starting Zoom work.