「quality」の検索結果

Best practices for Matplotlib data visualization, plotting, and creating publication-quality figures in Python

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Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.

日本語の概要は準備中です。原文の説明を表示しています。

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.

日本語の概要は準備中です。原文の説明を表示しています。

Review working changes - code quality, security, library correctness, and standards auto-fix

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Rank multiple design solutions and explain why. Separate personal preference from quality judgment. Use when comparing design options, evaluating competing approaches, or making design decisions with clear reasoning.

日本語の概要は準備中です。原文の説明を表示しています。

Animation as communication. Feedback, orientation, emphasis, delight. If motion doesn't serve one of these four purposes, it shouldn't exist. Use when evaluating animation quality, designing transitions, or deciding whether motion adds or subtracts.

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Help other designers develop judgment without imposing your style. Use when mentoring designers, running design education, or building team-wide quality standards.

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Read a designer's taste through their typography decisions alone. Type is the fastest taste signal in any design. Use when evaluating design maturity, assessing portfolio quality, or understanding what typography reveals about design thinking.

日本語の概要は準備中です。原文の説明を表示しています。

Precise language for design feedback. Ban vague words. Name what you actually see. Use when giving design feedback, running critiques, or training teams to communicate about quality.

日本語の概要は準備中です。原文の説明を表示しています。

Micro-decision analysis. Catalog the border radii, spacing scales, type sizes, and state coverage that most people miss. Use when auditing design systems, evaluating craft quality, or training granular perception.

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Break a design system into its constituent decisions and evaluate each one. Use when auditing design systems, evaluating consistency, or understanding how a product maintains quality at scale.

日本語の概要は準備中です。原文の説明を表示しています。

Understand the constraints a design was built under and evaluate quality within that context. Use when reviewing work that had limited time, budget, or team size, or when assessing whether constraints were handled well.

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Alternative Slowbar coffee intelligence — scientific analysis from seed to cup using First Principle + System Thinking. Covers: varieties, terroir, cultivation, disease diagnosis, processing, roasting physics/chemistry, extraction science, brewing, business strategy, storytelling. ALWAYS trigger for coffee-related questions requiring scientific depth. DO NOT trigger for simple recipes or general food questions. Style: science-driven, farmer-first, quality-obsessed.

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Run the startcycle-graph pipeline: durable state, repair loop, quality gate, escalation. Generated from plugin-commands.json; invoke as $bdb-aos:graph.

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Study a merged or shipped tdmcp implementation and extract reusable learnings: code improvements, runtime/UX lessons, test gaps, docs updates, roadmap items, and harness changes. Use when the user asks to learn from a completed feature/project/PR/build, analyze what can be improved from an implementation, or turn a real installation experience into actionable tdmcp improvements. This is a post-implementation learning harness; it does not replace tdmcp-pipeline for building or tdmcp-quality-audit for broad repo audits.

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Quality-assure integrated tdmcp features: run the four PR gates + recipe/bridge tests, cross-boundary coherence checks (tool schema↔CLI↔docs↔registry, operator↔createable, bridge↔client), and live TouchDesigner validation (preview + post-cook error check) when the bridge is reachable. Use when validating/QA-ing/testing tdmcp tools, checking a feature actually cooks in TD, verifying CLI matches a tool, or gating a release.

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Ship the day's work in one repo: triage new issues, review every open PR (description, visual recap, adversarial reviewer, shipping pre-flight and quality gate), merge only after GO, then post a status recap. Use for "ship it", "ship day", "merge the ready PRs", "end of work block".

日本語の概要は準備中です。原文の説明を表示しています。

Run a broad SEO audit across technical SEO, on-page SEO, schema, sitemaps, content quality, AI search readiness, and GEO. Use as the umbrella skill when the user asks for a full SEO analysis or strategy.

日本語の概要は準備中です。原文の説明を表示しています。

Use when executing implementation plans with independent tasks in the current session — trigger phrases "execute the plan", "independent tasks", "parallel tasks", "subagents for the plan","split the plan into subagents". Dispatches a fresh subagent per task with two-stage review after each: spec compliance first, then code quality.

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Use when building React components, optimizing Next.js performance, implementing accessibility, or reviewing frontend code quality for modern web applications.

日本語の概要は準備中です。原文の説明を表示しています。

Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.

日本語の概要は準備中です。原文の説明を表示しています。

Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.

日本語の概要は準備中です。原文の説明を表示しています。

Use when choosing an animation engine, defining motion tokens, adding scroll effects or micro-interactions, or auditing motion for accessibility and performance. Covers engine selection (GSAP, Motion.dev, Anime.js, React-Spring, Three.js, CSS Native), DTCG motion tokens, and the anti-slop/a11y quality gate.

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Standards and workflows for writing, formatting, sanitizing, and publishing high-quality GitHub repositories, complementing openwiki-skill.

日本語の概要は準備中です。原文の説明を表示しています。