「anti」の検索結果

Use when a PERSONAL brand needs AI avatar video at scale — three tool tiers, four workflows for single avatar, translation, batch, and hybrid, reference image intake, face, style, logo, and palette replacement, voice clone pairing, anti-detection, and a QA score, with disclosure-law variants for US FTC, EU AI Act, SEA, and LATAM, covering HeyGen and Synthesia. Trigger on 'AI avatar', 'HeyGen video', 'Synthesia', 'talking head AI video', 'translate my videos with AI', 'I cannot be on camera every day'. Not for — the words the avatar says, see `04-script-video-global`; audio-only voice clone and podcast, see `25-voice-clone-podcast-global`; a company product video edit, see `44-video-editor-brief-global`.

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 a leader must review or approve TEXT-based team output before it ships — content briefs checked for angle, pillar, and CTA, ad copy and creative checked for substantiated claims, on-brand tone, a hook inside the first 125 characters, and platform policy, ending in an Approve, Revise, or Redo verdict with point-by-point feedback. Trigger on 'review this brief', 'approve the ad copy', 'check ads before launch', 'review team output', 'is this good enough to publish', 'my team keeps sending me drafts'. Not for — reviewing a visual design, see `47-design-review-global`; evaluating a person over a period, see `65-team-performance-review-global`; writing the copy yourself, see `05-ad-copy-global`.

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 a campaign needs its full design asset list before anyone opens a tool — asset type, dimensions, channel, quantity, priority, owner, deadline, and status, with deadlines counted backward from launch day on a T-14 to D+1 timeline plus a naming convention. Trigger on 'campaign asset list', 'what does the designer need', 'list the design files', 'creative asset plan', 'how many banners do we need', 'the designer keeps asking what to make'. Not for — the spec for one individual image, see `42-image-brief-global`; a slide sequence, see `43-carousel-brief-global`; an urgent mid-campaign swap, see `48-quick-visual-brief-global`; resizing an existing master, see `50-asset-resize-global`.

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 customers should bring other customers — one-way versus two-way incentives, reward structure and economics, trigger moments, referral messaging, tracking and attribution, fraud controls, and anti-spam compliance by region: TCPA for US, GDPR for EU, PDPA for SEA, LGPD for LATAM. Trigger on 'referral program', 'refer a friend', 'word of mouth', 'viral loop', 'how do I get customers to bring friends', 'affiliate rewards'. Also use when the user has happy customers and no system to use them. Not for — running your own community space, see `28-community-building-global`; posting inside third-party communities, see `38-community-seeding-global`; email flow mechanics, see `14-email-marketing-global`.

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。

Posts content and articles to X (Twitter). Supports regular posts with images/videos and X Articles (long-form Markdown). Uses real Chrome with CDP to bypass anti-automation. Use when user asks to "post to X", "tweet", "publish to Twitter", or "share on X".

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。

Pre-write audit for skill violations: checks planned code against loaded skill anti-patterns before any file write. Use when writing Flutter/Dart/TS code or editing SKILL.md files with active project skills. Load as composite; on auto-fixed violation, also load +common/common-learning-log.

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。

Enforce WCAG 2.2 AA compliance with semantic HTML, ARIA roles, keyboard navigation, and color contrast standards for web UIs. Use when building interactive components, adding form labels, fixing focus traps, or auditing a11y compliance.

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。

Apply REST API conventions — HTTP semantics, status codes, versioning, pagination, and OpenAPI standards for any framework. Use when designing endpoints, choosing HTTP methods, implementing pagination, or writing OpenAPI specs.

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 Elixir/Phoenix changes before committing — bugs, security, Ecto, LiveView, and Oban anti-patterns, via parallel specialist agents. Use when asked to review changes, a component, a diff, or a PR.

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。

Detect N+1 query anti-patterns specifically — Repo calls inside Enum/for loops, missing preloads on associations. Use when N+1 is explicitly suspected, NOT for unrelated Ecto questions or wider database performance.

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。

Detect N+1 query anti-patterns specifically — Repo calls inside Enum/for loops, missing preloads on associations. Use when N+1 is explicitly suspected, NOT for unrelated Ecto questions or wider database performance.

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 the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.

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。

End-to-end academic paper writing workflow. Takes a research repository and produces a publication-ready LaTeX manuscript for top ML/AI conferences (NeurIPS, ICML, ICLR, ACL, AAAI, COLM). Covers repo understanding, structure planning, section drafting, citation management, anti-AI polishing, and conference formatting. Triggers on "write paper", "draft paper", "scholar writing", "paper writing workflow".

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。

This skill should be used when the user asks to "verify a fix", "reproduce failure", "diagnose issue", "check BEFORE/AFTER state", "VF task", "reality check", "check test quality", "mock-only tests", or needs guidance on verifying fixes by reproducing failures before and after implementation, or detecting mock-heavy test anti-patterns.

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 the user asks to review or clean up R code for tidyverse style, standardize formatting or names, remove redundant comments or wrappers, or make a behavior-preserving style pass. Also use when writing substantial new R package code if the user requests tidyverse style or the package already follows it. Not for routine small edits or general correctness, security, or test-quality reviews.

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。

Comprehensive guide for writing modern Neo4j Cypher queries. Essential for text2cypher MCP tools and LLMs generating Cypher queries. Covers removed/deprecated syntax, modern replacements, CALL subqueries for reads, COLLECT patterns, sorting best practices, set-based writes, and Quantified Path Patterns (QPP) for efficient graph traversal.

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。

실제 제품 route의 UI·UX copy를 검사해 제품 맥락 없이 반복된 생성형 기본 패턴, 브랜드 근거 없는 장식, 카드·그라데이션·아이콘 타일 남용, 번역투와 추상 카피를 rule ID와 line ref로 진단한다. 'AI slop 잡아줘', '템플릿 같아', '왜 AI가 만든 화면 같지?', 'anti-slop audit' 요청에 사용한다. 접근성 오류와 취향 차이를 별도 등급으로 구분한다.

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。

실제 제품 route의 UI·UX copy를 검사해 제품 맥락 없이 반복된 생성형 기본 패턴, 브랜드 근거 없는 장식, 카드·그라데이션·아이콘 타일 남용, 번역투와 추상 카피를 rule ID와 line ref로 진단한다. 'AI slop 잡아줘', '템플릿 같아', '왜 AI가 만든 화면 같지?', 'anti-slop audit' 요청에 사용한다. 접근성 오류와 취향 차이를 별도 등급으로 구분한다.

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。

Embedding strategies, ANN algorithms, hybrid search, RAG chunking strategies, and reranking for semantic search and retrieval.

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。

50+ named UX rules with numeric thresholds, 30+ UI styles catalog, industry anti-patterns, pre-delivery checklist

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。

Claude Code session analysis, tool call patterns, efficiency metrics, and anti-pattern detection

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。

Query the memory system for relevant learnings from past sessions using semantic search.

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。

Hierarchical memory organization for multi-session context retention. Wings (projects) > Rooms (domains) > Drawers (decisions). Semantic search across all memories with zero cloud dependency.

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。

CTO-level advisory - build vs buy decisions, tech debt quantification, team scaling, ADRs, technology evaluation (RICE), budget planning, TCO, vendor management, DORA/SPACE metrics

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。