「db」の検索結果

This skill should be used when the user asks for a "sensitivity reader", "authenticity reader", "cultural review", "is this portrayal okay", "real people in my novel", "defamation", "can I use song lyrics", "epigraph permission", "permissions", "quote permission", "fair use", "AI disclosure", "do I need to disclose AI", "send to my editor", "editorial round", "Word file for my editor", "editor review copy", "co-author", "collaborate on a book", "shared world", "back up my book", "does this echo my source", "similarity check", "check overlap with my earlier books", or wants to run human editorial, ethics, permissions, or collaboration workflows around a story project. NOT for contracts or selling rights (use publishing), or reader feedback rounds and review copies for readers, including the GitHub review-copy setup (use feedback-triage).

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。

Evaluating and implementing cookie-less tracking alternatives for a post-cookie era. Covers the Privacy Sandbox APIs (Topics, Attribution Reporting, Protected Audiences), server-side analytics, and privacy-preserving measurement techniques.

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。

Handles GDPR Art. 10 criminal conviction and offence data classification including official authority requirements, national law derogations, and comprehensive register restrictions. Covers controller obligations for criminal background checks and offence records. Keywords: criminal data, Art 10, conviction data, offence records, criminal background, DBS check.

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。

Art direction for open world and sandbox games in Blender with biome landmarks, traversable scale, and discovery props.

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。

Researches an open-ended question — options, possible solutions, prior art, trade-offs, or how something works — and produces a durable, evidence-backed, adversarially-validated report that recommends an option without committing the team to any artifact. Use when you want to research approaches, weigh options, survey prior art or the state of the art, or understand how something works before committing to a direction. Does not diagnose a bug, failure, or root cause — use investigate. Does not specify a feature — use plan-a-feature. Does not create or update a coding standard — use coding-standard. Does not compare two concrete artifacts for gaps — use gap-analysis. Does not assess an existing module's architecture — use architectural-analysis. Does not capture feedback on Han's own skills — use han-feedback.

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 comprehensive code review on local source files. Use this skill when the user asks to review, audit, inspect, evaluate, or check code, even if they never use the word "review." Does not post comments to GitHub pull requests — use post-code-review-to-pr for that. Does not analyze architectural structure or module boundaries — use architectural-analysis for that. Does not explain code or a PR to build understanding before reviewing — use code-overview for a written overview, or code-walkthrough to be paced through it one step at a time. Does not map bounded contexts or domain boundaries — use ddd-analysis for that. Does not capture feedback on Han's own skills — use han-feedback for that.

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 implementing feedback mechanisms for AI responses.

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。

Triage TestFlight crashes, beta feedback, and performance diagnostics using asc. Use when the user asks about TF crashes, TestFlight crash reports, beta tester feedback, app hangs, disk writes, launch diagnostics, or wants a crash summary for a build or app.

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。

Map this codebase into project memory — a code graph of every symbol and how they connect, plus a written profile of stack, layout, conventions and workflows. Re-run any time to refresh both in place. Use when memory is newly installed on an existing project, or when the project has changed enough that the stored map is stale.

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。

微信公众号 HTML 生成。把 Markdown 转成可粘贴到微信公众号后台的 HTML，内置 15 种经典媒体/科技产品/中文公众号风格。 触发方式：/dbs-wechat-html、/公众号HTML、「生成公众号 HTML」「做微信公众号版本」「微信排版」 WeChat Official Account HTML generator. Converts Markdown into WeChat-ready HTML with 15 built-in publishing styles.

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 for writing, reviewing, debugging, testing, or optimizing Python code that uses PyArrow arrays, schemas, Tables, RecordBatches, RecordBatchReaders, compute kernels, Dataset scans, Parquet, or Arrow IPC and C data interfaces. Trigger on schema drift, null/type semantics, chunking, batch streaming, predicate projection pushdown, conversion, and memory ownership. Do not use for pandas-only transformations, Polars-only expressions, generic SQL, Arrow Flight service design, C++/Rust Arrow, or Parquet work that does not use PyArrow.

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。

Expert SurrealDB 3 architect and developer skill (tracks v3.1.4+). SurrealQL mastery, multi-model data modeling (document, graph, vector, time-series, geospatial), schema design, security, deployment, performance tuning, SDK integration (JS, Python, Go, Rust, Java, .NET, C, PHP, Swift, Kotlin, Ruby), Surrealism WASM extensions, SurrealML scope coverage (preview), built-in MCP (v3.1+) and standalone SurrealMCP, LangChain Python integration, editor tooling (LSP v0.1.6, tree-sitter, CodeMirror v1.0.6, VS Code/JetBrains/Neovim/Zed), and ecosystem integrations (Surrealist v3.9, Surreal-Sync, SurrealFS, SurrealKit v0.7, n8n, Agent Skills, setup-surreal). Universal skill for 30+ AI agents.

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。

Full-spectrum product research pipeline. Runs competitive analysis, technology trend scouting, user feedback analysis, and feature ideation. Trigger on: research, competitive research, market research, feature discovery, what should we build next, technology trends, user feedback, app store reviews, GitHub issues analysis, competitive landscape, product 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。

Cloudflare Sandboxes SDK for secure code execution in Linux containers at edge. Use for untrusted code, Python/Node.js scripts, AI code interpreters, git operations.

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。

Send feedback or a bug report to the WOZCODE team. Bug reports are tagged for triage and auto-attach session context (session id, anonymous id, OS, arch, Node version).

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。

Convert any public web page into clean, structured Markdown. Preserves headings, links, images, code blocks, and tables while removing ads, navigation, and clutter. Perfect for content archival, knowledge base building, and research note-taking.

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。

Aggregate news from Google News, Tavily, and Exa to get comprehensive coverage of any topic. Cross-references multiple news sources, identifies publication velocity, detects emerging stories, and provides citation-ready news intelligence.

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。

Prepare for sales conversations with comprehensive account intelligence — company news, hiring signals, product launches, social activity, and decision-maker profiles. Combines firmographic data, news monitoring, and social signals for sales-ready briefings.

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。

Track thought leaders and industry voices across LinkedIn, Twitter, and YouTube. Monitor publishing cadence, content themes, engagement patterns, and audience growth for competitive positioning and relationship-building intelligence.

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。

Research and collect social proof — testimonials, case studies, user reviews, social mentions, and community endorsements across platforms. Useful for marketing teams building trust content, landing pages, and sales collateral from authentic customer voices.

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。

Research potential leads with verified contact information, professional backgrounds, company context, and social presence. Combines LinkedIn profiling, email verification, company enrichment, and social signals for sales-ready prospect intelligence.

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。

Research industry newsletters, email publications, and WeChat articles to discover content leaders, track topics, and identify distribution opportunities. Covers newsletter discovery, content analysis, audience research, and partnership prospecting.

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。

Extract full transcripts and captions from YouTube videos for content analysis, summarization, note-taking, and repurposing. Supports multiple languages and auto-generated captions. Ideal for research, content creation, and accessibility workflows.

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。

Research local markets by combining Google Maps reviews, Xiaohongshu local content, Weibo discussions, and web search. Covers customer sentiment by location, local competition analysis, neighborhood trends, and location-specific brand perception.

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。