Coding standards, frameworks, refactoring, and code review (18.1K skills)
Use uv to create Python projects, manage packages and virtual environments, and install Python versions. Learn workflows for lockfiles, existing projects, monorepos, CI, and Docker, with commands for migrating from tools such as pip or Poetry.
Configure Maven builds for Java projects by choosing lifecycle phases and goals, defining profiles for different environments, and adjusting tests, resources, and modules. Use it to understand build commands, investigate failures, or tune project build settings.
Use this guide when building or refactoring React and Next.js applications. Its prioritized rules cover async work, bundle size, server and client data fetching, rerenders, rendering, and JavaScript performance, with examples to help agents improve code.
Support Java and Spring Boot development with project scaffolding, generated JPA layers and REST endpoints, security configuration, dependency checks, and JVM performance guidance. It includes Python tools and references for enterprise applications, microservices, and reactive services.
Reviews failed GitHub Actions job logs for a pull request or specific job URLs. It returns a concise summary of the likely root cause, error messages, test names, and relevant log excerpts, so you can see what needs attention.
Plan step tests for identifying an unknown control system. Get practical guidance on test duration, sampling rate, input size, and which input and output measurements to record for estimating system parameters from its response.
Review or build web UI components against practical guidance for accessibility, performance, animation, and visual stability. It helps identify issues such as missing labels, unstable image layouts, inaccessible focus states, and inefficient rendering patterns.
Compare and implement eviction policies for capacity-limited caches, including LRU, LFU, FIFO, S3FIFO, and ARC. Understand how hit handling and admission differ, avoid common implementation mistakes, and evaluate policies by replaying the same workload trace.
Configure Maven plugins for compiling Java, running unit and integration tests, checking code quality, packaging artifacts, and managing versions or releases. It explains plugin versions, shared settings, lifecycle phases, and common configuration pitfalls.
Calculate PI controller gains for a first-order process from its gain and time constant using Internal Model Control (IMC). Choose a response speed setting and get proportional and integral gains for control work.
Carry project knowledge between Lean 4 proof sessions with an MCP memory server. The skill stores and retrieves successful proof patterns, failed tactics, project conventions, theorem relationships, and user preferences, helping the agent use relevant past experience when working on similar goals.
Work with hex maps that use odd-r offset coordinates, where odd rows shift right. The skill explains how to find six neighbors, calculate distance between tiles, check adjacency, and list tiles within a chosen radius.
Use this guide to implement a quadrotor’s inner attitude loop. It explains how to turn desired horizontal acceleration into roll and pitch targets, then use PID feedback to calculate control moments, with guidance on integral state and gain adjustments.
Implement a quadrotor’s outer position-control loop and plan trajectories from takeoff, hover, fly, and land waypoints. It covers PID feedback for desired acceleration and thrust, plus a sampled state matrix with position, velocity, orientation, angular velocity, and acceleration.
Simulate a quadrotor’s physical motion by converting desired thrust and moments into motor speeds, modeling motor lag, and integrating translational and rotational equations of motion with RK45. The skill describes the state values and motor limits used in the simulation.
Turn supported natural language commands for a drone simulator into timed waypoints and segment modes. The parser handles takeoff, hovering, movement between coordinates, and landing, returning arrays that a trajectory planner can use.
Compute active and reactive power flows at both ends of an AC power line, accounting for transformer tap ratios and phase shifts. The skill also covers apparent power, bus balance aggregation, MVA limit checks, and branch loading calculations.
Navigate the TRL library codebase with a guide to its SFT, DPO, GRPO, and KTO trainers, shared utilities, configuration, and model wrappers. Use it to understand expected contracts and data flow before inspecting or changing trainer code.
Decode signed numeric fields in mainframe data when the final character encodes both the sign and last digit. Use the lookup table and decoding steps to recover positive and negative values, including zero, and avoid treating debit amounts as positive.
Helps implement discrete PID feedback loops that calculate control output from current, accumulated, and changing error. It covers output limits, integral windup prevention, and practical gain tuning for systems such as vehicle speed regulation or other feedback controls.
Read .xlsx workbooks with openpyxl or pandas, select the sheets and header rows you need, and convert rows into Python dictionaries. It also covers empty and merged cells and comma-separated values stored in a single cell.
Read and write YAML configuration files with safe parsing and clear error handling. The guidance includes readable output, preserving key order, handling missing or invalid files, and merging loaded settings over defaults, including vehicle parameters.
Use this skill to build and check mainframe-style batch programs with GnuCOBOL. It covers compile flags, sequential and fixed-length files, PIC fields, signed amounts, rounding, and a debug workflow for checking posting calculations.
Simulate vehicle motion over time by updating speed, position, and the gap to a vehicle ahead. Calculate a time-based safe following distance and estimate time to collision, then use those conditions to choose cruise, follow, or emergency modes.