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Found 181 Skills
Fetch and analyze Linear issue with all related context. Use when starting work on a Linear ticket, analyzing issues, or gathering context about a Linear issue.
Reproduce a bug from a Linear ticket with a failing test. Expects the full ticket context (title, description, comments) to be provided as input.
fix a Linear ticket end to end, fetch it, branch, plan with confirmation, implement, review. Triggers: fix a Linear ticket, work on a Linear issue, implement a Linear ticket, resolve a Linear bug. Flags: --base <branch> (default main) and an explicit ticket ID.
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 model.
Implements Syncfusion Flutter Gauge widgets (SfLinearGauge, SfRadialGauge) for data visualization and measurement displays in Flutter apps. Use when building speedometers, progress indicators, KPI dashboards, or radial/linear measurement UIs. This skill covers gauge axes, pointers, ranges, annotations, and customization for both linear and radial gauge types.
Systematically find root causes and fix bugs. Use when debugging errors, investigating test failures, reproducing bugs from issue trackers (GitHub, Linear, Jira), or when stuck on a problem after failed fix attempts. Also use when the user says 'debug this', 'why is this failing', 'fix this bug', 'trace this error', or pastes stack traces, error messages, or issue references.
Use when asked to create a code walkthrough, explain how code works linearly, generate a walkthrough for a PR or codebase, or when user says /walkthrough. Triggers on "walkthrough", "explain the code", "how does this work", "walk me through".
Creates modern CSS gradients using Tailwind CSS including linear, radial, conic, mesh gradients, animated gradients, glassmorphism, and gradient text effects. Use when users request "gradient background", "tailwind gradient", "modern gradient", "mesh gradient", or "animated gradient".
Prevents generic AI/GPT UI patterns when generating frontend code. Use this skill whenever generating HTML, CSS, React, Vue, Svelte, or any frontend UI code to enforce clean, human-designed aesthetics inspired by Linear, Raycast, Stripe, and GitHub instead of typical AI-generated UI.
Universal fallback for executing actions across 1,000+ apps when no other skill is available. Use this skill ONLY when user requests an action on an app/service not covered by other skills (e.g., Notion, Asana, Trello, HubSpot, Airtable, Linear, Monday, Zendesk, Intercom, Stripe, Shopify, QuickBooks, Zoom, Microsoft 365, Dropbox, Box, Figma, Jira, Confluence, etc.). Do NOT use if another skill already handles the service. Triggers on requests to connect to external apps, execute actions on third-party services, or when user asks "can you actually do X" for an unsupported service.
Implement Syncfusion WPF Linear Gauge (SfLinearGauge) in Windows Presentation Foundation applications. Use this when working with linear meters, thermometer displays, or progress indicators with scales. This skill covers scale configuration, adding pointers (bar or symbol), creating colored ranges, customizing labels and ticks, setting horizontal or vertical orientation, and implementing thermometer-style visualizations.
Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary/ordinal/multinomial), mixed-effects models, Cox proportional hazards survival analysis, Kaplan-Meier estimation, and comprehensive model diagnostics. Extracts odds ratios, hazard ratios, confidence intervals, p-values, and effect sizes. Designed to solve BixBench statistical reasoning questions involving clinical/experimental data. Use when asked to fit regression models, compute odds ratios, perform survival analysis, run statistical tests, or interpret model coefficients from provided data.