Découvrez les skills research health fitness, comparez leurs dépôts et consultez leurs instructions.
This skill should be used when redesigning golf practice station pages (driving range, short game, putting) to be goal-oriented and mobile-friendly. It provides the page structure, style patterns, and Trackman...
Create detailed implementation plans with bite-sized tasks for engineers with zero codebase context. Use this when design is complete and you need detailed implementation tasks for engineers with zero codebase...
SpatialData framework for handling spatial multi-modal and multi-scale data. Use this skill for questions about spatial omics data analysis, visualization, and the SpatialData Python ecosystem.
Your approach to handling app accessibility. Use this skill when working on files where app accessibility comes into play.
Your approach to handling safety verification. Use this skill when working on files where safety verification comes into play.
Your approach to handling app lifecycle. Use this skill when working on files where app lifecycle comes into play.
Collects the user's body weight and provide aggregations, charts and trends. Responds to commands like "today I'm 90Kg", "I gained 1Kg since yesterday", "What's my weekly average in the last 2 months?"
Describes the structure of the weight tracker database that allows to store and read weight records for the user
Intelligent, conversational interface for managing Linear workspace operations (issues, projects, teams, reporting)
Validate trip data quality using 4 algorithms: distance sum, fuel consumption, efficiency range, deviation
Gym/gymnasium API - custom environments, spaces, wrappers, vectorization, debugging
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When MiniMax-M2 needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc)...
Research documentation and evidence synthesis framework for MYCURE healthcare products using HIGH/MEDIUM/LOW confidence grading, triangulation methodology, and rigorous citation standards. Auto-activates for re...
Expert guidance on statistical analysis methodologies and Monte Carlo simulation for fantasy football. Use this skill when selecting regression approaches, designing simulations, performing variance analysis, o...
Expert guidance on machine learning and feature engineering for fantasy football player projection models. Use this skill when building predictive models, engineering features from player statistics, selecting...
Create Jupyter notebooks for FF Analytics following project conventions. Use this skill when the user requests analysis notebooks for player evaluation, roster health, trade scenarios, market trends, or project...
Design and structure development sprints with atomic, LLM-ready task files. This skill should be used when the user wants to plan a new development sprint, break down complex projects into executable tasks, or...
Drive quantitative analysis, factor diagnostics, and reporting for ATFT-GAT-FAN outputs.
Reviews designs for optical balance issues that mathematical precision misses. Covers typography kerning, visual alignment, spacing rhythm, color weight, and the human touch that distinguishes professional desi...
Use this skill when users need help analyzing LimaCharlie billing, investigating usage costs, comparing trends across organizations, or understanding what's driving their expenses.
Medical PowerPoint presentation generation with clinical data visualization. Creates professional presentations from FHIR resources, lab results, and clinical data. Use when generating patient summaries, care p...
FHIR R4 resource generation and validation for healthcare interoperability. Converts medical data into FHIR-compliant JSON resources (Patient, Observation, MedicationRequest, Condition, etc.). Use when creating...
Helps COOs, BPM Leads, and Transformation teams plan and sequence BPM initiatives using the wiki content as a baseline.
Turns BPM content into learning paths, micro-lessons, and exercises for analysts, managers, and process owners.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.