「entity」の検索結果

Plan and execute a brand transformation — from diagnosis to new brand definition to rollout. Use when the user says "rebrand", "rebranding", "brand refresh", "update the brand", "modernize the brand", "our brand is outdated", "we've outgrown our brand", "the brand needs to change", "brand transformation", "pivot the brand", "we're changing the brand", "the old brand doesn't fit anymore", or when a brand has evolved in direction, audience, or market position and needs its identity to catch up.

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Prevent Terraform/OpenTofu hallucinations by diagnosing and fixing failure modes: identity churn, secret exposure, blast-radius mistakes, CI drift, and compliance gate gaps. Use when generating, reviewing, refactoring, or migrating IaC and when building delivery/testing pipelines.

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Emit .harness/oia-manifest.json declaring layer alignment with the OIA v0.1 9-layer reference architecture. Self-describes the harness's MCP wiring, witness signing, audit log, identity posture (always 'none' at v0.1). --check verifies an existing manifest, --dry-run prints without writing, --json emits to stdout.

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Embody this digital identity. Read SOUL.md first, then STYLE.md, then examples/. Become the person—opinions, voice, worldview.

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Build and maintain a Karpathy-style LLM knowledge base — a self-compiling Obsidian markdown wiki where an Agent ingests raw sources, compiles cross-linked concept/entity/summary pages, answers queries against the corpus, lints the graph for health, and audits in-context human feedback filed from Obsidian or the local web viewer. Use when (1) scaffolding a new knowledge base for any research topic, (2) ingesting articles/papers/PDFs/web pages into raw/, (3) compiling or restructuring wiki articles from existing raw material, (4) answering questions against the wiki and filing durable answers back, (5) running lint passes for dead links / orphan pages / coverage gaps / audit shape, (6) processing human feedback from the audit/ directory and applying corrections. Not for general note-taking, daily journals, or non-wiki Obsidian use.

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Dung khi bat dau xay thuong hieu CA NHAN cho mot con nguoi cu the — founder, coach, creator: skill nay tao file .agents/personal-brand-context.md gom dinh vi ca nhan, niche, story arc, content pillar, chan dung nguoi theo doi, brand voice, visual identity va kho anh reference. Chay MOT LAN truoc moi skill personal brand 23-28. Kich hoat khi user nhac 'thuong hieu ca nhan', 'personal brand', 'ho so ca nhan', 'founder context', 'coach context', 'creator context', 'muon xay hinh anh ca nhan', 'bat dau lam personal brand'. Khong dung cho — thuong hieu DOANH NGHIEP hoac san pham thi dung skill product-marketing-context; dinh vi cong ty tren thi truong thi dung skill 58-positioning.

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Dung khi can chot QUY CHUAN NHIN cua thuong hieu de moi nguoi lam ra deu giong nhau — brand personality, he mau, typography, quy tac dung logo, phong cach hinh anh, quy tac component, kich thuoc an pham chuan, cach dat ten va to chuc file. Kich hoat khi user nhac 'brand guideline', 'brand book', 'brand identity', 'style guide', 'quy chuan thuong hieu', 'bang mau thuong hieu', 'moi nguoi lam ra mot kieu', 'khong biet dung font gi'. Khong dung cho — giong noi va cach hanh van thi dung skill 35-brand-voice; cham diem mot thiet ke da lam xong thi dung skill 47-design-review; dinh vi va thong diep thi dung skill 58-positioning.

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 starting work on a PERSONAL brand — a founder, coach, or creator, not a company: creates `.agents/personal-brand-context-global.md` covering story, expertise, audience, positioning, platforms, visual identity, and the asset inventory of style refs, face refs, logo, palette, and background, with region variants for US, EU, SEA, and LATAM. Skills 23 to 28 read it first. Trigger on 'personal brand setup', 'set up my founder brand', 'coach personal brand context', 'creator profile setup', 'the AI does not know my story', 'build my personal brand from zero'. Not for — a company or product brand, see `00-marketing-plan-global` and `product-marketing-context-global`; the 12-month strategy built on this, see `23-personal-brand-strategy-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。

Dung khi can TAO RA anh hoac prompt anh bang AI — anh thuong hieu ca nhan, logo, key visual campaign, anh dang hang ngay, editorial, infographic, mockup web, quote graphic. Tu doc brand identity trong context roi dung prompt, gen anh hoac xuat prompt cho MidJourney, DALL-E, Imagen, Leonardo. Co che do nhan anh reference va tra ve master prompt copy-paste duoc. Kich hoat khi user nhac 'thiet ke anh', 'lam logo', 've banner', 'prompt MidJourney', 'tao key visual', 'lam anh giong anh nay', 'gen anh AI', 'doi mau thuong hieu tren anh'. Khong dung cho — viet brief giao designer lam thi dung skill 42-brief-hinh-anh; quy trinh asset ca campaign thi dung skill 41-campaign-asset-list; video avatar AI thi dung skill 24-ai-avatar-production; UI wireframe tuong tac thi dung web-prototype; animation thi dung motion-frames.

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 a marketing image GENERATED or an image prompt written — personal brand portraits, logos and monograms, campaign key visuals, day-to-day social graphics, editorial art, infographics, web hero mockups, and quote graphics. Reads brand identity from project context, composes an on-brand prompt, generates via gpt-image-2 when an API key exists, otherwise outputs paste-ready prompts for DALL-E 3, MidJourney, Leonardo, or Ideogram. Trigger on 'design an image', 'make me a logo', 'MidJourney prompt', 'key visual for the campaign', 'generate a graphic for this post', 'I need a visual and have no designer'. Not for — briefing a human designer on a static, see `42-image-brief-global`; a slide sequence, see `43-carousel-brief-global`; the brand rules themselves, see `46-brand-guideline-global`; scoring a finished design, see `47-design-review-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 for authorized Active Directory and Windows identity attacks including Kerberos, AD CS, BloodHound paths, NTLM relay, and domain privilege escalation research.

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 for a knowledge article, wiki page, or entity summary from the brain, or wants to search, list, or review merges across brain DB articles. Generates Wikipedia-style articles from entities, decisions, and emails.

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。

Your brand designer. Names the business (with the trademark, domain and handle checks to run before falling in love with a name), writes the voice, a one-line promise and a tagline, and briefs the look: colours, type, logo and the first things a customer sees, so they match the positioning the marketing director chose. Use when the user says "name my business", "brand this", "logo", "brand identity", "what should it look like", "tagline", or "brand voice".

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Establishes configuration ownership, validation, secret boundaries and environment isolation; not credential identity policy or live deployment.

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Enforce inward dependency flow, pure domain layers, and DTO-to-entity mapping in Flutter DDD architecture. Use when structuring layers or boundaries; defer navigation-only routing and feature implementation such as notifications.

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Draws architecture diagrams as editable draw.io files with a fixed house style, C4 levels, evidence-tagged shapes, and optional multi-view identity checks. Use when producing a system context, container, component, deployment, data flow, sequence, state, or ERD, or redrawing an ASCII or Mermaid one.

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。

文本实体依赖过滤器。识别文本中与其他令牌独立的实体，并对其进行过滤。 本SKILL使用依赖data_juicer，请在调用前安装好python环境并安装data_juicer，你可用以下指令进行安装： pip install py-data-juicer 当用户提到实体依赖过滤、文本实体检测、依存关系过滤、实体独立性过滤等需求时使用此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。

实体属性聚合工具。从多个文档中提取并总结给定实体的特定属性信息。 当用户提到从文档中提取实体信息、总结人物属性、聚合实体特征、提取文档中的实体信息、 根据文档总结实体属性（如总结某人物的主要经历、身份背景、成就等）等需求时使用此skill。 即使用户没有明确说出"聚合"或"实体"，只要任务涉及从多个文档中提取和总结某个主题/人物/实体的 特定属性，就应该使用此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。

Discover the active AWS profile, region, account, and caller identity before SageMaker or AWS work. Use when local AWS context is needed or unspecified; do not use for cloud-agnostic model planning.

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 this skill when visual quality and design identity matter for a PDF. CREATE (generate from scratch): "make a PDF", "generate a report", "write a proposal", "create a resume", "beautiful PDF", "professional document", "cover page", "polished PDF", "client-ready document". FILL (complete form fields): "fill in the form", "fill out this PDF", "complete the form fields", "write values into PDF", "what fields does this PDF have". REFORMAT (apply design to an existing doc): "reformat this document", "apply our style", "convert this Markdown/text to PDF", "make this doc look good", "re-style this PDF". This skill uses a token-based design system: color, typography, and spacing are derived from the document type and flow through every page. The output is print-ready. Prefer this skill when appearance matters, not just when any PDF output is needed.

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。

Progressive memory recall with 4 scope layers AND 3 depth layers. Scope: identity > project > room > deep. Depth: IDs only > summary > full. 10-50x token savings through fetch-on-confirmation pattern.

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。

JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.

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。

Generate exactly one finished CRT retro computer-interface illustration from an uploaded portrait, group photo, creature, object, or described theme. Use when the user wants anchored subjects re-authored as an exaggerated circa-1980s bitmap editorial caricature beneath early Macintosh or Minitel-style windows, optionally invoking the exact Chinese presets 街头怪诞, 巨像符号, or 冷面几何. Before generation, collect a named or image-derived palette and aspect ratio through a strict two-stage intake unless supplied. Preserve each intended subject as a distinct identity, one shared pixel lattice, restricted non-skin checkerboard midtones, low-facet geometry, unequal extraction windows, mandatory barrel-curved CRT edges, and the immutable tait-crt-interface-skill title-bar signature. Never trace, auto-pixelate, imitate photographic detail, omit, merge, or duplicate subjects, retry, resize, expose prompts, or ask users to choose a style preset.

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。

Maintain bounded, durable AI project memory in a repository's docs/ai/ pack. Use when Codex or Claude Code needs to create, read, update, or audit project memory (project-card, architecture, diagrams, runbook, handoff, gotchas, ADRs), install AGENTS.md memory rules, or sync a lightweight central LLM Wiki project entity for user-owned projects.

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。