「oci」の検索結果

Derive an execution roadmap from a project's vision/spec docs by first principles, then diff that fresh derivation against the existing roadmap to prove the task ORDER is correct. Use this whenever the user wants to review, validate, re-derive, or sanity-check an execution roadmap or delivery plan; asks whether the tasks/epics are "in the right order"; suspects a task is scheduled before its prerequisite (a producer-after-consumer / dependency-inversion error like "OpenAPI after the web client that consumes it", OR a cross-cutting inherited default like observability/auth/tenancy scheduled after the feature work that inherits it — a seam-after-consumer error); wants to find missing tasks, circular dependencies, or over-fragmented epics; or wants to compact a plan to raise velocity. Also trigger on "review the roadmap", "re-derive the plan from the spec", "is this the right build order", "check the dependency graph of our epics", "which task should come first". It reads the vision + spec corpus, decomposes actors → use-cases → modules → epics → typed tasks, identifies cross-cutting inherited-default seams, builds a real dependency graph with hard + soft (seam) edges (deterministic helper), breaks cycles, topologically orders, compacts, and emits a derived roadmap PLUS a delta report against the current one — it never blindly overwrites a hand-crafted roadmap.

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Power batch-sprint helper — hosts the two behaviours that distinguish the `power` workflow track from spec-entry. (1) Per-ticket iteration: security runs once PER TICKET over workflow.json.tickets[] while the mechanical phases run once for the batch. (2) Commit split: at the commit phase, group the batch's working tree into ordered Conventional Commits via commit-split.mjs, closure last. Invoked within a `power`-track workflow; not a standalone feature. Opt-in via velocity.power_mode.enabled; requires git.

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Agile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use when writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing the backlog.

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Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nicho.

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Map Delphi classes to a relational database using TMS Aurelius ORM attributes. Use when the user asks to create entity classes, add Aurelius mapping to existing classes, fix or review mapping attributes, explain how a class is mapped, or work with associations, inheritance, automapping, nullable fields, blobs, or composite identifiers. Triggers on requests like "create Aurelius entities for...", "map this class to Aurelius", "add ORM mapping", "fix the mapping on this class", "how do I map a one-to-many in Aurelius".

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Save, load, update, delete, merge, and navigate entity objects using TMS Aurelius ORM (TObjectManager). Use when the user asks how to persist or retrieve data with Aurelius, manage object lifetime, work with associations or collections at runtime, handle transactions, use cached updates, or control concurrency. Does NOT cover query DSL or criteria/projections (those are in a separate skill). Triggers on requests like "save an entity with Aurelius", "load a customer from the database", "add items to a collection", "how do I update an object", "flush changes", "delete a record with Aurelius", "merge a transient object", "how do transactions work in Aurelius", "batch updates Aurelius".

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Find the first batch of foreign-trade prospect companies from public web, LinkedIn, and user-authorized data sources such as customs exports, trade show lists, association directories, CRM/Excel files, or historical customer data, then output a conservative, structured candidate list ready for lead screening.

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Add Wasp's built-in features to your app: auth, email, jobs, and more. These are full-stack, batteries-included features that Wasp handles for you. Use when the user wants to add meta tags, authentication (email, social auth providers), email sending, database setup, styling (tailwind, shadcn), or other Wasp-powered functionality.

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Create professional visual assets for GitHub repositories — architecture diagrams, social cards, and README banners.

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。

PIL + ffmpeg slideshow videos: product reviews, promos, TikTok/Reels/Shorts.

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Run 150+ AI applications in the cloud via the inference.sh platform. Triggers on "generate image with FLUX", "create video", "use Veo/Seedance", "run inference.sh", "infsh CLI", "single key for image+video+LLM". One API key covers image generation (FLUX, Reve, Seedream, Grok, Gemini), video (Veo, Wan, Seedance, OmniHuman, HunyuanVideo), LLMs (Claude, Gemini, Kimi, GLM-4), search (Tavily, Exa), 3D (Rodin), social (Twitter/X), and audio (TTS, voice cloning).

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Generates premium, multi-page, mobile-optimized (1:1 aspect ratio) PDF marketing brochures for exclusive retreats, workshops, luxury events, or any high-end product/service offering. Use this skill whenever a user asks to create a brochure, marketing PDF, event flyer, WhatsApp marketing material, social media brochure, or design a multi-page promotion document. Also trigger when users mention wanting to promote an experience, product, or service and need visual marketing material. Even if the user just says "make a brochure for my event" or "I need a PDF for my product," use this 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。

当用户在不确定情境下倾向于参考他人行为做决策、或发现自己在跟随群体行动却说不清原因时激活此 skill。 典型场景：看到"销量第一"标签就产生信任、新环境中观察别人怎么做自己就怎么做、被伪造的社会证据（罐头笑声、假好评）影响判断。 不适用于：有明确标准和专业知识的决策、刻意的社会学习与模仿、有意识地参考他人经验的理性比较。

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。

An autonomous social network built by agents, for agents.

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Play Clawing Trap - an AI social deduction game where 10 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。

The open-source social network for 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。

Expert-level exoplanet science covering detection methods, orbital dynamics, planetary atmospheres, habitability, and the search for biosignatures.

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-level special relativity knowledge. Use when working with Lorentz transformations, time dilation, length contraction, relativistic energy, mass-energy equivalence, spacetime, four-vectors, or relativistic mechanics. Also use when the user mentions 'Lorentz transformation', 'time dilation', 'length contraction', 'E=mc2', 'spacetime', 'four-vector', 'relativistic momentum', 'light cone', 'proper time', 'Minkowski', or 'relativistic velocity addition'.

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。

Adresse les commentaires de revue sur les PR (humain + bots). Mode auto-détecté selon le type d'issue. Usage: /review [<issue#>|<PR#>]

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Dashboard d'avancement des epics en cours. Thin wrapper sur les scripts bash qui agrègent les logs per-agent (.claude/state/epic_run/) et le state GitHub. Pas de LLM lourd. Usage: /report [<epic_N> ...]

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。

Conception pipeline for Codex. Equivalent to the repository's Claude skill: detect epic/task/bug mode, then delegate to the existing repo agents and workflows. Usage: /analyse [<issue#>] [<description>]

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。

Documentation regeneration for Codex. Equivalent to the repository's Claude skill: regenerate user-facing docs from current code state. Usage: /doc or /doc <issue#>

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Phase exécution. Détecte le mode (epic/task/bug) selon le type d'issue et lance le bon mécanisme : loop driver background pour epic, code-dev synchrone pour task/bug. Usage: /implement <issue#>

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。

Execution pipeline for Codex. Detect epic/task/bug mode and implement with Codex models only. Usage: /implement <issue#>

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。