skills.homescapability registry 搜索

查询中

搜索技能

为您的 Agent 寻找最完美的能力。

热门搜索

python ai web scraper mcp pdf git docker typescript

结果数

53,183

符合搜索条件的技能

当前页

1528

共 2660 页

关键词

ai

按名称、标签或描述搜索

lab-tools

9

fungi-identification

Feldbestimmung von Pilzen anhand morphologischer Merkmale, Sporenabdrucke, Lebensraumanalyse und saisonalem Kontext mit einem Sicherheit-zuerst-Ansatz. Umfasst Hut-, Lamellen-, Stiel- und Sporeneigenschaften, Verwechslungspartner- Differenzierung, Toxizitaetsrisikobewertung und die kritische Regel absoluter Sicherheit vor dem Verzehr. Verwenden beim Antreffen eines unbekannten Pilzes, beim Sammeln essbarer Pilze und der Notwendigkeit die Art vor dem Verzehr zu bestaetigen, beim Beurteilen ob Pilze in Garten oder auf dem Grundstueck schaedlich sind oder beim Unterscheiden einer essbaren Art von einem gefaehrlichen Verwechslungspartner.

pjt222

research

lab-tools

9

sharpen-knife

Sharpen and maintain knives using whetstones, field stones, and improvised abrasives. Covers blade anatomy, bevel assessment, whetstone technique (coarse to fine progression), stropping, sharpness testing, field sharpening methods, and ongoing edge maintenance. Use when a knife fails the fingernail test, when cutting tasks require excessive pressure, before a trip where a sharp blade is essential, after heavy use, or when a blade has visible nicks or a rolled edge. Applicable to bushcraft blades, folding knives, and garden cutting tools.

pjt222

research

lab-tools

9

collect-preserve-specimens

Collect and preserve insect specimens following museum-grade standards including legal compliance, collection methods, humane dispatch, dry pinning, wet preservation, labeling, storage, and curation. Covers permit requirements, protected species regulations, sweep nets, beating trays, pitfall traps, light traps, Malaise traps, aspirators, ethyl acetate killing jars, freezing, pin placement by order, wing spreading, ethanol preservation for soft-bodied specimens, specimen labeling with locality and date, storage with pest management, and database entry. Use when building a reference collection for taxonomic study, preserving voucher specimens for ecological research, preparing specimens for identification by specialists, or curating an existing collection.

pjt222

research

lab-tools

9

label-training-data

Set up systematic data labeling workflows using Label Studio or similar tools. Implement quality controls, measure inter-annotator agreement, manage labeler teams, and integrate labeled data into ML training pipelines. Use when starting a supervised ML project that requires labeled training data, when model performance is limited by insufficient labeled examples, when labeling text, images, audio, or video, or when implementing active learning to prioritize the most valuable examples.

pjt222

research

lab-tools

9

collect-preserve-specimens

Collect and preserve insect specimens following museum-grade standards including legal compliance, collection methods, humane dispatch, dry pinning, wet preservation, labeling, storage, and curation. Covers permit requirements, protected species regulations, sweep nets, beating trays, pitfall traps, light traps, Malaise traps, aspirators, ethyl acetate killing jars, freezing, pin placement by order, wing spreading, ethanol preservation for soft-bodied specimens, specimen labeling with locality and date, storage with pest management, and database entry. Use when building a reference collection for taxonomic study, preserving voucher specimens for ecological research, preparing specimens for identification by specialists, or curating an existing collection.

pjt222

research

lab-tools

9

maintain-hand-tools

Maintain the 8 essential garden hand tools through sharpening, handle care, rust prevention, and seasonal storage. Covers bypass secateurs, hori-hori, hand fork, trowel, pruning saw, sharpening stone, watering can, and soil rake. Use after each garden session for quick cleaning, monthly during the growing season for sharpening and oiling, at end of season for winter storage preparation, before spring for pre-season readiness checks, or whenever a tool feels dull, stiff, or shows rust.

pjt222

research

lab-tools

9

troubleshoot-print-issues

Diagnose and fix common 3D printing failures through systematic symptom analysis. Covers adhesion, stringing, layer shifts, warping, and under/over-extrusion issues. Use when a print fails during the first layer or partway through, finished prints have quality defects (stringing, blobs, gaps), dimensional accuracy issues occur (warping, elephant foot), layer adhesion fails, or new material or hardware changes are causing inconsistent results.

pjt222

research

lab-tools

9

implement-audit-trail

Implementar funcionalidad de registro de auditoría para proyectos R en entornos regulados. Cubre registro de eventos, seguimiento de procedencia, firmas electrónicas, verificaciones de integridad de datos y cumplimiento de 21 CFR Parte 11. Usar cuando un análisis R requiere cumplimiento de registros electrónicos (21 CFR Parte 11), cuando se necesita rastrear quién hizo qué y cuándo en un análisis, al implementar seguimiento de procedencia de datos, o al crear registros de análisis a prueba de manipulaciones para envíos regulatorios.

pjt222

research

lab-tools

9

neuroskill-dnd

NeuroSkill Do Not Disturb automation — EEG-driven focus detection that activates OS-level DND when sustained attention exceeds a threshold. Shows rolling average, sample window, and OS state. Supports force-override on/off. Use when managing focus-based DND automation or checking DND status.

NeuroSkill-com

research

lab-tools

9

mulch

Record and retrieve structured project learnings using `mulch` CLI. Use when working on code and wanting to capture patterns, failures, decisions, conventions, references, or guides for future sessions.

normful

research

lab-tools

9

mlops-automation

Guide to refine MLOps projects with task automation, containerization, CI/CD pipelines, and robust experiment tracking.

MLOps-Courses

research

lab-tools

9

mylab-parameter-tuning

Use when the main loop is parameter generation -> batch experiments -> result collection -> comparison for a parameter experiment round.

mikumifa

research

lab-tools

9

notebook-workflows

Create, edit, and manage Jupyter/Colab .ipynb notebooks programmatically. Use when creating notebooks, adding/editing cells, parsing notebook output, handling Colab features (GPU, Drive mount), or converting notebook formats.

jayll1303

research

lab-tools

9

experiment-tracking

Set up selfhosted experiment tracking with MLflow or W&B. Use when deploying MLflow servers, configuring W&B selfhosted, logging metrics and artifacts, comparing experiment runs, managing model registry, or troubleshooting offline sync.

jayll1303

research

lab-tools

9

track-ml-experiments

Set up MLflow tracking server for experiment management, configure autologging for popular ML frameworks, compare runs with metrics and visualizations, and manage artifacts in remote storage backends for reproducible machine learning workflows. Use when starting a new ML project that requires experiment tracking, migrating from manual logs to automated tracking, comparing multiple training runs systematically, or building reproducible ML workflows with full lineage tracking.

pjt222

research

lab-tools

9

troubleshoot-print-issues

Diagnose and fix common 3D printing failures through systematic symptom analysis. Covers adhesion, stringing, layer shifts, warping, and under/over-extrusion issues. Use when a print fails during the first layer or partway through, finished prints have quality defects (stringing, blobs, gaps), dimensional accuracy issues occur (warping, elephant foot), layer adhesion fails, or new material or hardware changes are causing inconsistent results.

pjt222

research

lab-tools

9

label-training-data

Set up systematic data labeling workflows using Label Studio or similar tools. Implement quality controls, measure inter-annotator agreement, manage labeler teams, and integrate labeled data into ML training pipelines. Use when starting a supervised ML project that requires labeled training data, when model performance is limited by insufficient labeled examples, when labeling text, images, audio, or video, or when implementing active learning to prioritize the most valuable examples.

pjt222

research

lab-tools

9

evaluate-levitation-mechanism

Evaluate and compare levitation mechanisms for a given application through a structured trade study. Covers magnetic (passive diamagnetic, active feedback, superconducting), acoustic (standing wave, phased array), aerodynamic (hovercraft, air bearings, Coanda effect), and electrostatic (Coulomb suspension, ion traps) mechanisms. Use when selecting the most appropriate levitation approach for transport, sample handling, display, bearings, or precision measurement applications.

pjt222

research

lab-tools

9

maintain-hand-tools

Maintain the 8 essential garden hand tools through sharpening, handle care, rust prevention, and seasonal storage. Covers bypass secateurs, hori-hori, hand fork, trowel, pruning saw, sharpening stone, watering can, and soil rake. Use after each garden session for quick cleaning, monthly during the growing season for sharpening and oiling, at end of season for winter storage preparation, before spring for pre-season readiness checks, or whenever a tool feels dull, stiff, or shows rust.

pjt222

research

lab-tools

9

sharpen-knife

Sharpen and maintain knives using whetstones, field stones, and improvised abrasives. Covers blade anatomy, bevel assessment, whetstone technique (coarse to fine progression), stropping, sharpness testing, field sharpening methods, and ongoing edge maintenance. Use when a knife fails the fingernail test, when cutting tasks require excessive pressure, before a trip where a sharp blade is essential, after heavy use, or when a blade has visible nicks or a rolled edge. Applicable to bushcraft blades, folding knives, and garden cutting tools.

pjt222

research

第 1528 页 / 共 2660 页