'stability' 검색 결과

Improve Remotion Studio rendering performance by limiting which components update with every frame. The skill guides on-demand timeline reads and React.memo usage, helping keep stable components from rerendering unnecessarily while preserving updates where the displayed frame matters.

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• Reduce unnecessary rerenders on every frame
• Read the current frame only when an event needs it
• Move frame-dependent rendering into a small child component

Validate and convert crystal and molecular structures, compare symmetry assignments, and build phase diagrams showing relative stability from local calculation data. Preserve sources and parameters while analyzing materials data or planning limited Materials Project queries.

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• Validating crystal structures in CIF files
• Comparing symmetry assignments across tolerances
• Converting structure files and checking information loss

Prepare and run molecular dynamics simulations with OpenMM, then analyze molecular motion with MDAnalysis. Examine protein flexibility, structural changes, and protein–ligand contacts through calculations and plots of simulated trajectories.

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• Investigating protein stability after a mutation
• Measuring structural changes and flexibility
• Tracking protein–ligand contacts

Simulate a uniform gas mixture in a closed, insulated reactor at constant volume or pressure. Calculate ignition delay from the peak temperature rise rate, export temperature and species histories, and check conservation and numerical stability.

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• Calculate ignition delay at constant volume or pressure
• Inspect temperature and species histories
• Compare ignition delays across reaction mechanisms

Review AI skills and bundles without running their code. Checks for data leaks, suspicious permissions, hidden code, and system changes across desktop and mobile platforms, then reports flagged actions, risk scores, and suggested mitigations.

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• Review an AI skill before installing it
• Check a skill bundle for data leaks and suspicious actions
• Inspect Android and iOS threats in skill files

Prepare GRPO reinforcement learning configurations for tasks with programmatically checkable answers, such as math, code, and structured output. Design and inspect reward functions, then select training variants when runs show instability or exploit flaws in scoring.

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• Preparing GRPO training for tasks with automatic correctness checks
• Designing rewards for output format and correctness
• Inspecting reward scores before training

Compare job offers using salary, equity, benefits, and working conditions. Build side-by-side tables for first-year and ongoing compensation, then score career growth, team culture, and other factors according to personal priorities.

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• Compare total compensation across job offers
• Weigh career growth against working conditions
• Assess equity terms and company stability

Plan and configure large language model training with OpenRLHF to better match human preferences. Covers training method selection, distributed GPU setup, inference acceleration with vLLM, and troubleshooting memory or training stability issues.

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• Choosing a method for training models on human preferences
• Setting up PPO training with a reward model
• Configuring GRPO training without a critic model

Guides large language model reinforcement learning with miles, covering environment setup, low-precision training, consistency between training and inference, and speculative decoding, where a smaller model proposes tokens for a larger model to verify.

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• Configure reinforcement learning for large MoE models
• Investigate instability in FP8 training
• Set up speculative decoding for faster rollout generation

Build and train Mixture of Experts models, which activate selected specialist networks for each input. Use DeepSpeed or HuggingFace workflows to configure routing, balance workloads, distribute experts across GPUs, and optimize inference.

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• Designing MoE models for a limited compute budget
• Implementing Mixtral-style expert routing
• Adjusting expert workloads and training stability

Diagnose failing or intermittent Playwright tests by reproducing errors and examining execution traces. Classify the cause, apply a targeted fix, and run the test ten times to check stability, with recommendations to prevent recurrence.

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• Fixing a Playwright test that fails consistently
• Investigating tests that pass only sometimes
• Debugging failures limited to CI

Guide substantial Swift changes in cmux with rules for package boundaries, dependency direction, state management, concurrency, and API documentation. Structure code so public package types can be tested without launching the app.

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• Extracting a large app feature into Swift Packages
• Reviewing dependencies between UI, domain models, and services
• Restructuring state management and Swift 6 concurrency

Prepare a long play session with timed observation checkpoints and logs for memory growth, stability, and player fatigue. It creates the testing protocol and analysis template; a human plays the game and records the findings.

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• Prepare an endurance test before release
• Check for recurring memory issues after a fix
• Track crashes and performance over a long session

Track tests that pass and fail on unchanged code using GitHub CI history. Score their instability over multiple runs, propose reasoned skips in a pull request, maintain a tracking issue, and summarize findings in Slack.

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• Investigate tests that alternate between passing and failing
• Propose temporary skips with evidence and reasons
• Track quarantined tests in one GitHub issue

Investigate service errors in Sentry by project, environment, and time period. Rank problems by event counts and affected users, compare releases or earlier periods, and report findings with links and a clear search scope.

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• Reviewing errors affecting production
• Checking changes after a release
• Comparing service stability across periods

Sets up AFL++ to test C/C++ programs with varied generated inputs, a technique called fuzzing. Covers running tests across CPU cores, monitoring progress, reducing input collections, and reproducing crashes for investigation.

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• Running C/C++ fuzzing across multiple CPU cores
• Exploring further after libFuzzer progress stalls
• Monitoring fuzzing progress and stability

Improve a web page’s loading speed, response to user actions, and visual stability. The skill guides targeted fixes for LCP, INP, and CLS, with code examples, measurement methods, and checklists for each metric.

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• Speeding up the display of a page’s main image
• Reducing delays after clicks and keyboard input
• Preventing layout shifts from images, ads, and fonts

Add, repair, and strengthen tests for existing code using the project's testing framework. Covers regression cases, boundary conditions, flaky tests, and coverage gaps, with validation that links requested behaviors to specific tests.

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• Add unit tests for existing code
• Repair failing or flaky tests
• Cover regression cases, boundaries, and error paths

Make specific C# behavior testable by adding a minimal way to replace time, randomness, or other external dependencies. Preserve public APIs and production behavior, then run repeatable tests without real file access or waiting.

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• Testing deadlines and delays with controlled time
• Testing file operations without touching real files
• Testing random or environment-dependent behavior

Configure dependency injection in .NET MAUI, a way to supply objects with the services they need. Covers service registration, instance lifetimes, page and ViewModel constructors, Shell navigation, platform implementations, and test substitutions.

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• Register services, Pages, and ViewModels
• Choose shared or freshly created service instances
• Connect Shell navigation with constructor injection

Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity, complexity, and risk management. No API key or registration required. Use when working with hedge fund data, systemic risk monitoring, financial stability research, hedge fund leverage or leverage ratios, counterparty concentration, Form PF statistics, repo market data, or OFR financial research data.

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Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

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MiCA compliance evidence and stablecoin risk scoring. Use when the user asks about stablecoin compliance, MiCA status, peg stability, or needs verifiable evidence for audit workflows.

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Comprehensive guide for dependency injection (DI) in Golang. Covers why DI matters (testability, loose coupling, separation of concerns, lifecycle management), manual constructor injection, and DI library comparison (google/wire, uber-go/dig, uber-go/fx, samber/do). Use this skill when designing service architecture, setting up dependency injection, refactoring tightly coupled code, managing singletons or service factories, or when the user asks about inversion of control, service containers, or wiring dependencies in Go. For a specific DI library, → See `samber/cc-skills-golang@golang-google-wire`, `samber/cc-skills-golang@golang-uber-dig`, `samber/cc-skills-golang@golang-uber-fx`, or `samber/cc-skills-golang@golang-samber-do` skills.

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