Results for “ma”

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming.

Generates a comprehensive, well-structured README.md file for a project by analyzing the workspace and following best practices.

Review C#/.NET code for design pattern implementation and suggest improvements without making changes.

Refactors Java methods by extracting code blocks into separate, well-named methods to improve readability and maintainability.

Identify, evaluate, and prioritize design opportunities using impact-effort frameworks and strategic criteria.

Select and design navigation patterns that match product structure, user tasks, and platform conventions.

Restores the most recent diagnosis snapshot saved by dbs-save, allowing users to continue a previous diagnostic session.

Provides RESTful API design patterns and best practices for creating endpoints, designing APIs, and implementing routes.

Scales Python ML workloads across clusters using Ray's distributed tasks, actors, data, and serving capabilities.

Runs the CAAM operator skill using Codex and the local shell, following the source skill's domain behavior and output expectations.

Runs the CASS operator skill in a Codex environment, using the local shell and referencing the source skill for domain behavior.

Runs the UBS operator skill in a Codex environment, reading the source skill for domain behavior and using the local shell.

Interact with MCP servers directly from the command line, including listing, calling tools, managing authentication, and generating client code.

Investigate bugs, features, or system behavior without making changes, gathering context and asking questions until the user approves a specific change.

Implementa gestión de estado reactiva en Flutter con Riverpod, cubriendo providers, notifiers, testing y estructura de proyecto.

Creates structured Jira tickets from incident root cause analysis findings, including severity classification and remediation steps.

Drafts a GitHub issue with YAML frontmatter and checkboxes, writing it to a local file for review.

Manages shadcn/ui components and projects, providing context, documentation, and usage patterns for building modern design systems.

Build reliable background processing and durable, long-running workflows using Inngest without managing infrastructure.

Diagnose and fix a bug through a disciplined reproduce, isolate, diagnose, fix, verify loop driven by evidence and one hypothesis at a time — not guesswork.

Write and review interface microcopy - errors, empty states, buttons, labels, and CTAs - that is clear, concise, human, and consistent with the product's voice.

Use TweetClaw through OpenClaw for X/Twitter automation workflows, including tweet search, reply search, follower export, media handling, monitors, webhooks, giveaway draws, and approval-gated posting.

When using npm to install packages, you will not be able to use an interactive shell, and it may be hard to confirm your actions.

Explore-phase writing — mines raw fragments without committing to structure. Use when the user wants to brainstorm material or gather fragments for a later article.

Sync tests with TestRail. Use when user mentions "testrail", "test management", "test cases", "test run", "sync test cases", "push results to testrail", or "import from testrail".

When to use ALO (fee-optimized) vs MARKET orders on Hyperliquid via Senpi, and standard order params for entry/exit/TP. Use when configuring execution.

Configure SPM packages, SwiftLint, and build settings for Swift projects. Use when managing Swift packages with SPM, configuring build settings, or enforcing Swift code quality.

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

Use when paired-end reads need to be reordered so mates appear consecutively, or when preparing BAM files for featureCounts by adding dummy reads for singletons.

Write modern C# code with advanced features like records, pattern matching, and async/await. Optimizes .NET applications, implements enterprise patterns, and ensures comprehensive testing.

PUA Loop — guided iterative development with recurring checks, completion evidence, and pause/abort markers. Use only when the user explicitly asks for loop/自动迭代 mode.

Gate de qualidade final do plugin civel. Aplica 4 validacoes (R1 fatos/competencia/foro, R2 fundamentacao legal vigente, R3 jurisprudencia real verificada, R4 forma/pedidos/tempestividade/valor da causa/gratuidade) antes de qualquer entrega. Use SEMPRE antes de entregar peca, recurso, manifestacao ou parecer; acionada pelo civel-master ao fechar qualquer ato. Tambem quando o operador disser revisao final, valida antes de entregar, /revisao-final.

Read BEFORE writing any code that builds or simulates OFDM systems. The default MATLAB patterns for OFDM (e.g., direct ifft/fft, awgn with 0 dBW power, missing symOffset) produce subtly incorrect results — always use ofdmmod/ofdmdemod instead of direct IFFT/FFT. This skill specifies the correct calling conventions for ofdmmod, ofdmdemod, ofdmChannelResponse, ofdmEqualize, and critical anti-patterns that must be avoided. Use when building OFDM transmitters or receivers, allocating subcarriers and guard bands, inserting pilots, computing SNR for OFDM, configuring fading channels (Rayleigh/Rician), estimating and equalizing channels, implementing timing and frequency synchronization, adding LDPC coding, designing resource grids, or setting up OFDM link simulations.

Step-by-step meal planning for a patient with obesity — from diet recall to calorie prescription to macronutrient targets. Use when a clinician asks "how do I plan a diet for my obese patient", "what calorie target for weight loss", "how many calories should I prescribe", "meal plan for obesity", "diet plan for overweight patient", or needs to build an individualised dietary prescription at the clinic.

Compare, cross-review, and merge competing plans from multiple agents into one executable direction with a clear handoff.

Runs NV-Segment-CTMR segmentation on CT or MRI NIfTI volumes and records label-map evidence.