'best practices' 검색 결과

Rust best practices. Use when reading or editing any .rs file, designing a crate's public API, choosing an error type, splitting a workspace, or writing async code on tokio. Triggers - "rust best practices", "is this idiomatic", "should this be a newtype", "anyhow or thiserror", "why does the borrow checker", "review this Rust".

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TypeScript best practices. Use when reading or editing any .ts or .tsx file, designing a module's public types, fixing a type error, choosing between type and interface, or setting up tsconfig, and whenever a diff reaches for any, as, ! or @ts-ignore. Triggers - "typescript best practices", "is this type safe", "how should I type this", "review this TS", "any vs unknown".

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Apply modern web development best practices for security, compatibility, and code quality. Use when the task involves `apply best practices`, `security audit`, `modernize code`, `code quality review`, or `check for vulnerabilities`.

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Reference guide for using Xpoz effectively. Load this skill whenever working with Xpoz MCP tools, SDKs, or CLI — it ensures correct query syntax, optimal field selection, proper pagination, and best practices for every Xpoz interaction. Covers authentication, query syntax (boolean operators, date filtering), response modes (fast/paging/CSV), field selection, tracking setup, and all platform tool references (Twitter, Instagram, Reddit, TikTok). Use for ANY Xpoz-related work, not just explicit best-practices questions.

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Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.

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Expert guide for crafting high-quality video prompts for Ozor.ai, the AI video generation platform. Use this skill whenever the user mentions Ozor, wants to create a launch video, product demo, feature announcement, explainer video, social ad, release notes video, investor update, tutorial, or any marketing video. Also trigger when the user asks for help writing video prompts, improving video output, structuring video scenes, choosing video formats, or wants best practices for AI video creation. Trigger on phrases like 'make a video', 'create a launch video', 'video for my product', 'Ozor prompt', 'video best practices', 'explainer video', 'product demo video', 'social clip', 'announcement video', or any request involving short-form video content for products and marketing.

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Technical research methodology with YAGNI/KISS/DRY principles. Phases: scope definition, information gathering, analysis, synthesis, recommendation. Capabilities: technology evaluation, architecture analysis, best practices research, trade-off assessment, solution design. Actions: research, analyze, evaluate, compare, recommend technical solutions. Keywords: research, technology evaluation, best practices, architecture analysis, trade-offs, scalability, security, maintainability, YAGNI, KISS, DRY, technical analysis, solution design, competitive analysis, feasibility study. Use when: researching technologies, evaluating architectures, analyzing best practices, comparing solutions, assessing technical trade-offs, planning scalable/secure systems.

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Research a skill domain before building or improving a skill. Searches academic papers, practitioner blogs, and GitHub skill repos in parallel to find current best practices, domain gotchas, and existing skill patterns. Called by universal-skill-creator and improve-skills before writing any skill. Also load directly when the user asks to research a domain for a skill, find existing skills on a topic, discover best practices for a skill, check what research exists before building an agent skill, or says "what does current research say about", "find best practices for".

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Research recommended practices for a chosen technology using official documentation and maintainer sources. Get a cited recommendation that explains version context, local project constraints, uncertainties, and the next steps for planning or implementation.

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• Check official guidance for a chosen technology
• Research version-specific migration advice
• Gather evidence before implementation planning

Review Python, JavaScript/TypeScript, and Go code for security issues using guidance for the project's languages and frameworks. Get prioritized findings, suggested improvements, or help writing new code with safer defaults.

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• Review an existing application's security
• Create a report organized by severity
• Write new code with safer defaults

Review Python, JavaScript/TypeScript, and Go code for security issues using guidance for the project's languages and frameworks. Get prioritized findings, suggested improvements, or help writing new code with safer defaults.

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• Review an existing application's security
• Create a report organized by severity
• Write new code with safer defaults

Organize PyTorch training code with LightningModule and Trainer. This skill guides training, validation, logging, model checkpoint saving, early stopping when progress stalls, and configuration for running the same model across multiple GPUs.

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• Organize existing PyTorch training code
• Add validation and metric logging
• Save the best models and stop stalled training

Review Python, JavaScript/TypeScript, and Go code against security guidance for the languages and frameworks in use. Identify important weaknesses, suggest improvements, and produce prioritized reports with code references, or apply secure defaults when writing new code.

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• Review existing code for security weaknesses
• Create a security report organized by severity
• Write new code with secure defaults

Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.

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Code quality guidelines and best practices for writing clean, maintainable code. Covers naming, structure, error handling, testing, and code review standards. Use when writing code, reviewing, refactoring, or asking "how should I name this", "best practice for", "clean code".

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Code quality guidelines and best practices for writing clean, maintainable code. Covers naming, structure, error handling, testing, and code review standards. Use when writing code, reviewing, refactoring, or asking "how should I name this", "best practice for", "clean code".

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Apply npm/pnpm supply-chain hardening when adding a dependency, editing package.json/.npmrc/pnpm-workspace.yaml, reviewing a lockfile change, or configuring CI install steps. Covers the 17 practices from lirantal/npm-security-best-practices.

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Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.

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Perform language and framework specific security best-practice reviews and suggest improvements. Use when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go), and not for general debugging or non-security tasks.

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Review how tests use mocks, substitutes for external services or resources. Identify excessive mocking and missing cleanup, suggest more realistic tests, and check whether automated checks consistently catch problems and prevent regressions.

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• Reviewing tests with too many mocks
• Checking mock cleanup between tests
• Improving realistic API mocks

Guides agents working on Remotion videos built with React to relevant rules and code examples. It covers animation, captions, audio, scene transitions, charts, asset handling, and other common tasks involved in composing and adjusting a video.

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• Add captions and animated text to a Remotion video
• Adjust audio timing, volume, and scene transitions
• Build animated charts or audio visualizations

Create mathematical and geometric animations in Python with Manim Community Edition. Use guidance, examples, and scene templates to structure animations, display equations, plot graphs, control cameras, and render two-dimensional or three-dimensional scenes.

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• Animating equations and derivations
• Creating function graphs and area visualizations
• Building 3D surfaces with camera movement

Create mathematical animations in ManimGL using Python, with guidance for equations, graphs, 3D scenes, and camera movement. Includes interactive development workflows, examples, and templates for testing changes and rendering scenes to video.

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• Animate equations and mathematical derivations
• Visualize functions and graphs
• Build 3D scenes with camera movement

Build prompts for FLUX image generation and editing, with guidance on model selection, lighting, composition, text, and precise colors. It also covers structured scene descriptions using JSON and editing with multiple reference images.

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• Writing prompts for image generation
• Specifying brand colors and text
• Editing with multiple reference images