
Claude Skills by stanfish06
github.com/stanfish06Interacts with live Hunk diff review sessions via CLI. Inspects review focus, navigates files, hunks, and exact lines, reloads session contents, adds inline review comments, and paints attention marks on character ranges. Use when the user has a Hunk session running or wants to review diffs interactively.
Expert-thinking profile for HVAC Engineer (load calc / psychrometrics / system selection / refrigeration / TAB & commissioning (ASHRAE 62.1, 90.1, Guideline 36)): Reasons from psychrometric state, parallel heating and cooling load paths, and vapor- compression thermodynamics through TRACE/HAP and EnergyPlus load models, ASHRAE 62.1/55/90.1 and Guideline 36 sequences, and TAB/commissioning per ASHRAE 15/34, while treating low ΔT syndrome, simultaneous reheat fight, coil-leaving...
Expert-thinking profile for Hydraulic Engineer (open-channel / pipe flow / water systems): Reasons from Bernoulli–Darcy–Weisbach, Moody diagrams, HEC-RAS/EPANET modeling, and pump/system curves while treating transient water hammer, air entrainment, and roughness aging as first-class failure modes.
Expert-thinking profile for Hydrogeologist (field hydraulics / aquifer testing / contaminant transport / MODFLOW modeling / remediation): Reasons from Darcy's law, mass conservation, aquifer heterogeneity, and coupled biogeochemical transport through Theis and Cooper-Jacob aquifer-test analysis, MODFLOW/MT3DMS modeling with PEST uncertainty, and low-flow geochemical sampling while treating wellbore-storage and skin artifacts, equivalent-porous-medium...
Expert-thinking profile for Hydrologist (rainfall-runoff modeling / flood forecasting / watershed hydrology / cold-regions & ecohydrology / uncertainty quantification): Reasons from hydrologic-cycle closure (P = ET + Q + ΔS + I), runoff-generation mechanisms, and channel routing through HEC-HMS, HEC-RAS, the National Water Model, and split-sample KGE/NSE/PBIAS calibration, while treating post-flood rating-curve shifts, radar QPE bias, snow/rain misclassification, and non-stationarity...
Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.
Generate an institutional-grade investment banking pitch deck (HTML)
Expert-thinking profile for Ichthyologist (field / museum / fisheries science / ichthyoplankton / eDNA): Reasons from meristic fin formulae, sagittal otolith annuli/daily increments, larval flexion staging, and ICZN type discipline through Eschmeyer's Catalog, FishBase/WoRMS, MiFish/12S eDNA with blank controls, FSA/TropFishR/SS3 stock assessment, and Darwin Core museum metadata while treating CPUE catchability...
IDA Pro 逆向分析辅助技能。当用户提到逆向、反编译、分析二进制/PE/ELF/APK/DLL/SO、破解、找密码、漏洞分析、病毒分析、firmware 固件分析,或需要分析 exe/dll/so/elf/macho/sys 等文件时,务必使用此技能。 Ensure to use this skill when the user wants to analyze any binary file, regardless of whether they explicitly mention "IDA" or "reverse engineering". This includes requests like "看看这个exe", "分析这个dll", "帮我破解", "找一下密码", "这个软件怎么注册", etc. Use the bundled scripts (scripts/start.ps1, scripts/open.ps1) for deterministic server management and file opening — do NOT write a...
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 when the user has a draft research idea and asks whether it is worth pursuing, asks to 'evaluate this idea', 'score this idea', 'assess feasibility', 'novelty check', 'is this a good research direction', or before committing to a paper scope.
Use for authorized assessment of federated identity systems including SAML, OIDC, OAuth2 flows, SSO misconfiguration, and token confusion issues.
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
Expert-thinking profile for Immunogeneticist (clinical laboratory / transplant histocompatibility / MHC population genetics): Reasons from HLA/KIR/FcγR diversity, haplotype LD, and epitope immunogenicity; adjudicates NGS typing, imputation fine- mapping, eplet/TCE matching, and DSA/crossmatch artifacts.
Expert-thinking profile for Immunologist (wet-lab / translational immunology): Reasons from innate/adaptive immunity and MHC presentation; designs flow cytometry (FMO, gating, exhaustion panels), ICS, ELISpot (DFR), tetramer, and multiplex cytokine assays; validates epitopes via IEDB/NetMHCpan; reports per MIATA and MIFlowCyt.
Expert-thinking profile for Immunotherapy Scientist (translational / cellular & checkpoint immunotherapy): Reasons from antigen recognition and checkpoint circuits through CAR-T/bispecific design, ASTCT CRS/ICANS grading, flow cytometry release CQAs, iRECIST response assessment, COMPASS/TIDE biomarker modeling, and JACIE/FACT IEC accreditation while treating antigen escape, pseudoprogression, tonic signaling, and step-up...
improve a CLAUDE.md file using <important if> blocks to improve instruction adherence
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.
Guide for optimizing MSBuild incremental builds. USE FOR: builds slower than expected on subsequent runs, 'nothing changed but it rebuilds anyway', diagnosing why targets re-execute unnecessarily, fixing broken no-op builds. Covers 8 common causes: missing Inputs/Outputs on custom targets, volatile properties in output paths (timestamps/GUIDs), file writes outside tracked Outputs, missing FileWrites registration, glob changes, Visual Studio Fast Up-to-Date Check (FUTDC) issues. Key diagnostic...
Delivers changes incrementally. Use when implementing any feature or change that touches more than one file. Use when you're about to write a large amount of code at once, or when a task feels too big to land in one step.
Expert-thinking profile for Industrial Ecologist (MFA/SFA accounting / dynamic stock modeling / industrial symbiosis (EIP) / EEIO-LCA linkage / circular economy metrics): Reasons from mass balance closure, in-use stocks, and system boundaries through STAN (ÖNorm S 2096), dynamic MFA with Weibull lifetime distributions, EEIO tables (EXIOBASE, USEEIO) and pedigree-scored Monte Carlo while treating non-closing residuals, re-export trade hubs, downcounted informal-sector leakage, and...
Expert-thinking profile for Industrial Engineer (manufacturing / logistics / service operations / ergonomics & simulation): Reasons from takt, Little's Law, and ρ-stable queueing (M/M/c, Erlang C) through DMAIC/DMADV, VSM, line balancing, SLP/ALDEP/CRAFT layout, MTM/MOST, work sampling, RNLE/RULA/REBA, ISO 22400 OEE, and Arena/AnyLogic DES V&V; treats simulation warm-up/replication gaps, CRAFT non-contiguity, and OEE- without-takt red...
Expert-thinking profile for Industrial Microbiologist (wet-lab / bulk & GMP-adjacent fermentation, environmental & mining biotech, biocontrol): Reasons from SmF/SSF physiology, fed-batch μ/OTR–OUR/RQ, DoE media optimization, PAT (Raman soft sensors), ICH Q8/Q7 characterization, bioleaching, SVI/F/M filament ID, and phage (10⁴–10⁶ PFU/mL) plant hygiene; treats antifoam kLa penalty, F₀ CIP/SIP cold spots, DSP mass balance, and golden-batch vs biofilm red...
Cross-company industry comparison across multiple tickers
Expert-thinking profile for Infectious Disease Specialist (clinical / research): Reasons from the host-pathogen-antimicrobial triangle, source control, and local resistance through IDSA/CLSI M100 breakpoints, PK/PD targets (vancomycin AUC24 400-600, beta-lactam time-above-MIC), and diagnostics like MALDI-TOF, BioFire panels, and galactomannan while treating colonization-versus-infection...
Auto-detect biggest acceleration/deceleration inflections across all
Expert-thinking profile for Information Retrieval Scientist (ranking / evaluation (TREC, trec_eval) / BM25 + neural retrieval / search-log privacy): Reasons from the Probability Ranking Principle, ranked-list utility, and candidate-generation-versus- re-ranking separation through BM25 baselines, dense and cross-encoder retrieval, and TREC-style qrels evaluated with trec_eval and nDCG, while treating position-biased clicks, unjudged-as-nonrelevant pools, analyzer...
Initiate coverage — generate both research note (HTML) and Excel model
Expert-thinking profile for Inorganic Chemist (wet-lab / coordination & organometallic synthesis / solid-state & catalysis): Reasons from electron counting, ligand field theory, and HSAB matching through Schlenk/glovebox air-sensitive synthesis, SCXRD/checkCIF validation, Evans/EPR/XANES oxidation-state assignment, and hot- filtration leaching tests while treating paramagnetic NMR overinterpretation, mystery- oil misidentification, and...
Install or update DuckDB extensions. Each argument is either a plain extension name (installs from core) or name@repo (e.g. magic@community). Pass --update to update extensions instead of installing.
Expert-thinking profile for Instrumentation Engineer (I&C loops / 4-20 mA & HART / calibration & metrology / safety systems (ISA-84/IEC 61511)): Reasons from the process variable, its transduction chain, 4-20 mA loop integrity, and traceable calibration through ISA-5.1 P&IDs, NAMUR NE43 fault bands, ISO 5167 orifice sizing, and GUM uncertainty budgets while treating plugged impulse lines, double-applied square-root, ground-loop noise, and unrevalidated SIS...
Expert-thinking profile for Integrated Circuit Designer (custom analog/RF / mixed- signal / DRC-LVS-PEX signoff / corner & Monte Carlo / tapeout & silicon debug): Reasons from spec through Virtuoso schematic/layout, Calibre DRC/LVS/RCX, and foundry PDK corners across analog, mixed-signal, RF, and structured digital blocks; treats TT- only signoff, LVS-without-PEX, and common-centroid violations as first-class tapeout failure modes.
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 New Problem/Setting and aligns contributions with challenges. Use when the user asks to 'draft the Introduction', 'outline the Introduction', 'intro logic needs clarifying', 'help structure the paper story', or before writing any Introduc...
Iris is Redis's umbrella for AI-focused products. Use this skill when integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent, creating or searching long-term memories, configuring a memory store, or tuning background memory promotion. Code examples use the official `redis-agent-memory` (Python) and `@redis-iris/agent-memory` (TypeScript) SDKs.
Information Request List (IRL) Tracker skill for Datasite deal rooms. Use this skill whenever a deal team wants to compare VDR content against a buyer's information request list, track document delivery status, or build a due diligence tracker dashboard. Triggers include: "map the IRL", "track what's been provided", "check the information request list", "information gathering list", "IGL", "what have we delivered", "DD tracker", "due diligence tracker", "compare VDR against the request list",...
Expert-thinking profile for Isotope Geochemist (mass spectrometry (TIMS/MC-ICP- MS/IRMS/SIMS) / radiogenic geochronology / stable-isotope tracers / clean-lab separation chemistry): Reasons from fractionation theory, decay schemes, reservoir mixing, and closure assumptions through standard-sample bracketing, double-spike deconvolution, isochron/Tera-Wasserburg fitting with MSWD, and ISO Guide uncertainty propagation while treating Pb-blank and lab-air contamination, mass bias, Pb loss and...
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, measuring coverage, or configuring Jest in jest.config.*. Pairs with test-driven-development for the workflow/methodology. Works with React (Testing Library), Node.js, and any JS/TS project.
在使用 js-reverse-mcp 做前端 JavaScript 逆向时使用,适用于签名链路定位、页面观察取证、运行时采样、本地补环境复现与证据化输出。优先适配当前环境里的 js-reverse_* 工具,需要更强的浏览器/CDP/Hook 面时联动 jshookmcp。
Generate, validate, and review k6 test scripts — load, stress, spike, soak, smoke, breakpoint, functional, and protocol. Covers HTTP, WebSocket, gRPC, browser, all executors, thresholds, checks, custom metrics, the k6-testing library, k6 Cloud execution, and the xk6 extension ecosystem; uses the xk6-docs CLI (with grafana.com web fallback) for docs lookup and validates every script by running it. Use when writing, generating, validating, or debugging any k6 or load-test script (including plai...
Convert a grover_base checkpoint (encoder-only or encoder + vocab heads) into a hybrid checkpoint by adding a randomly-initialized cMIM decoder + latent_dist, then continue pretraining on the user's corpus as hybrid (vocab + contrast). Effectively kermt-continue-pretrain with a one-time ckpt-conversion step prepended.
Continue pretraining from an existing KERMT checkpoint. The skill validates the user's checkpoint and pretrain CSV, prepares the data into shard/vocab/features form, then launches pretrain_ddp.py inside the kermt container (detached for long runs). Auto-dispatches `--pretrain_mode` based on the checkpoint type (grover_base vocab-only, cmim, or hybrid).
Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint (grover_base / cmim / hybrid / finetuned). Writes one .npy per readout type (atom_from_atom, bond_from_atom, atom_from_bond, bond_from_bond) plus canonical_smiles.npy and validity.npy. Calls task/extract_embeddings.py (which featurizes SMILES on the fly — no pre-computed features needed).
Finetune a pretrained KERMT encoder on a labeled CSV. The skill validates the input checkpoint (must be a pretrain ckpt — grover_base / cmim / hybrid), validates the labeled CSV, prepares the data (clean + features + optional split), then launches main.py finetune inside the kermt container (detached for hours-scale runs). Hyperparameters come from agent/config/defaults_finetune.json with per-flag CLI override.
Run predictions with a finetuned KERMT checkpoint on a SMILES-only CSV. The skill validates that the input ckpt has task FFN heads (refuses pretrain ckpts with a redirect to kermt-finetune), validates the CSV, prepares the data (clean + rdkit_2d features), then launches main.py predict inside the kermt container (blocking, minutes-scale).
Check progress for a detached KERMT run (pretrain, finetune, or any kermt_run_detached invocation). Reads run.json, queries docker for container state, tails the pretrain/finetune log, and parses progress lines (epoch, step, val loss).
Pretrain a fresh KERMT model from scratch on a user-provided corpus. Builds a new vocabulary from the corpus, instantiates the model architecture from defaults, and launches pretrain_ddp.py inside the kermt container (detached for long runs). Unlike kermt-continue-pretrain, no starting checkpoint is loaded — the model is randomly initialized.
Bootstrap the KERMT agent environment — verify host docker + nvidia-container-toolkit, build the kermt:latest image from the repo's Dockerfile if it doesn't yet exist, and run a GPU smoke test inside the container. Every other kermt-* skill depends on this; invoke it first.
Expert-thinking profile for Knowledge Representation Researcher (ontology engineering / description logics / semantic web (OWL 2, SPARQL, SHACL) / OBDA / neuro-symbolic integration): Reasons from model-theoretic semantics, the expressivity-vs- decidability-vs-scalability tradeoff, and competency questions through OWL 2 profiles, reasoners (HermiT, Pellet, ELK), ROBOT/Protégé pipelines, and SHACL validation while treating unsatisfiable classes, silent OWA-vs-CWA semantic mixing, hallucinated...
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, storage, and workflow integrations.
Expert-thinking profile for Landscape Ecologist (spatial pattern analysis / connectivity modeling / landscape genetics / remote sensing / disturbance ecology): Reasons from scale-explicit pattern-process feedbacks, configuration over composition, and functional rather than graphical connectivity through FRAGSTATS, landscapemetrics, Circuitscape resistance surfaces, NLMR neutral models, and block cross-validation, while treating MAUP grain artifacts, classification error...
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.