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概要と使いどころ
Fornece orientação para treinamento RL agentico nativo do PyTorch usando torchforge, biblioteca da Meta que separa infraestrutura de algoritmos. Use quando você quer abstrações limpas de RL, fácil experimentação de algoritmos, ou treinamento escalável com Monarch e TorchTitan.
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。
Fornece treinamento distribuído de LLM nativo do PyTorch usando torchtitan com paralelismo 4D (FSDP2, TP, PP, CP). Use para fazer pré-treinamento de Llama 3.1, DeepSeek V3 ou modelos customizados em escala de 8 a 512+ GPUs com Float8, torch.compile e checkpoint distribuído.
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。
Instâncias GPU em nuvem reservadas e sob demanda para treinamento e inferência de ML. Use quando você precisar de instâncias GPU dedicadas com acesso SSH simples, sistemas de arquivos persistentes ou clusters multi-node de alto desempenho para treinamento em larga escala.
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。
Curação de dados acelerada por GPU para treinamento de LLM. Suporta texto/imagem/vídeo/áudio. Recursos incluem deduplicação fuzzy (16× mais rápida), filtragem de qualidade (30+ heurísticas), deduplicação semântica, redação de PII, detecção NSFW. Escala em GPUs com RAPIDS. Use para preparar datasets de treinamento de alta qualidade, limpar dados web ou deduplicar grandes corpora.
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。
Framework PyTorch de alto nível com classe Trainer, treinamento distribuído automático (DDP/FSDP/DeepSpeed), sistema de callbacks e boilerplate mínimo. Escala de laptop para supercomputador com o mesmo código. Use quando quiser loops de treinamento limpos com boas práticas integradas.
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。
API de treinamento distribuído mais simples. 4 linhas para adicionar suporte distribuído a qualquer script PyTorch. API unificada para DeepSpeed/FSDP/Megatron/DDP. Posicionamento automático de device, precisão mista (FP16/BF16/FP8). Config interativo, comando de launch único. Padrão do ecossistema HuggingFace.
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。
Consulte o banco de dados de grafo de código para entender relacionamentos de componentes, dependências e impacto de mudanças. Use quando o usuário pedir para "encontrar chamadores", "verificar dependências", "o que usa isso", "mostrar relacionamentos", "encontrar serializadores", ou ao ler código e precisar entender o que depende de um componente antes de fazer modificações.
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 rename, extract, split, move, or restructure code safely. Examples: "Rename this function", "Extract this into a module", "Refactor this class", "Move this to a separate file"
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。
[Utilities] Use when the user invokes, lists, saves, updates, or deletes a PROJECT-SPECIFIC saved prompt — a named, reusable procedure stored with the project rather than in the portable framework. `/custom-prompt list` prints every defined prompt with its description; `/custom-prompt <free-text request>` matches the request to the closest saved prompt and executes it only after a confirmation gate; `/custom-prompt save|update|delete ...` maintains the registry — save never stores raw wording, it drafts the best version of the prompt and confirms the name, description, inferred goal, and steps with the user first. Triggers: custom prompt, custom prompts, list custom prompts, save this prompt, save this prompt task, update this prompt, my saved prompt, project prompt, playbook, recipe, runbook.
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。
中国药品权威数据库查询 — NMPA(国家药监局) + CDE(药品审评中心) + DrugBank(英文名/ATC) + PubChem(化学结构) 多源融合,提供(通用名 ↔ 商品名 ↔ 英文名 ↔ 适应症 ↔ NMPA 批文号 ↔ 上市日期)精确映射。Make sure to use this skill whenever the user mentions 药品名 / 通用名 / 商品名 / NMPA / 国药准字 / 药监局 / CDE / drug brand name / generic name / drug registry / pharmaceutical lookup / drug verification / 药物核验 / 商品名对应 / drug cross-check / drug authority lookup. 在任何 medical / market-sizing / clinical / disease-research 报告生成阶段,**所有药品提及必须先调 lookup_drug() 验证**,严禁 LLM 凭训练记忆拼凑通用名↔商品名↔英文名对应关系。LLM 训练截止后药企会更换商品名、新药持续上市,记忆完全不可信。Iron Law:lookup 返回 None → 调用方必须 raise UnverifiedDrugError,不允许 fallback 到记忆。免费公开数据源,跨平台:Claude Code / Codex / Gemini CLI 三端均可 auto-trigger,实现仅依赖 httpx + beautifulsoup4 标准生态,不绑定任何厂商 SDK。
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。
Build, audit, and modify EMULATORS runtime `.fmt` formatter files and keep them synchronized with C++ `getInfoStructure()` producers and their `.hpp` field documentation. Use when adding, renaming, or removing `InfoStructure` attributes or nested structures; diagnosing missing console fields; reviewing formatter includes, formatter names, placeholders, arrays, nested invocations, or table parameters; or changing namespace-specific `.fmt` files under `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。
Verified lookup pack for crouton's schema→CRUD generation domain — the fieldsFile JSON format, the complete field-type catalog with aliases, the naming contract, the exact artifact list one generate run produces, the seed/default-layout pipeline, dialect defaults, and rollback semantics. Use when writing or reviewing a collection schema, when asking "what field types exist / what does `crouton config` actually generate / where did this file name come from / why did I get a pg schema", when a generated file's name or path doesn't match the docs, or when removing/regenerating a collection. Trigger phrases — "what field types are supported", "schema JSON format", "what files does crouton generate", "naming convention for collections", "rollback a collection", "dialect default". The generation WORKFLOW (steps + sign-off gates) lives in the `crouton` skill — this is the reference it doesn't carry.
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。
Roblox and Luau game code standards. Writes, reviews, and fixes Script, LocalScript, and ModuleScript code and game systems such as shops, DataStore saves, RemoteEvents, combat, NPCs, and UI. Use when a request involves Luau code or a Roblox Studio project, even when Roblox is never named, when a game bug is reported with no file named, and when the user asks to keep these standards active. Also covers Rojo, Argon, Azul, Script Sync, Studio MCP, and community libraries such as ProfileStore, Knit, Trove, and Fusion. Applies to requests written in any language. Not for plain Lua outside Roblox (Neovim, LOVE, Defold, other engines) or for game design with no Luau to write or review.
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。
Draws an interactive HTML Architecture Viewer for any code flow the user names. Walks through seven research-driven steps (flow, name, repo research, lens colors, evidence flags, lens+mechanism per stop, build) and verifies links, claims, and generated artifacts before delivery.
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。
spec-drift issue が起票され diff トリアージが必要なとき、C11 が再構成した issue 単位の完全 diff を hunk 化し name/type/required/enum/semantics 各軸の影響を before/after/evidence 付きで判定して triage-report を出したいときに使う。
Audit, rename, and polish a GitHub repository across its local checkout and remote settings. Use when Codex needs to synchronize a local and GitHub repository name, set the description, homepage URL, or topics, create repository branding and a GitHub social preview, restructure a README, or prepare and publish a cohesive repository identity. Uses GitHub CLI for supported remote operations and delegates visual identity work to $create-context-aware-logos.
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。
Deploy and use the Exasol Text AI Extension (TXAIE) with notebook-connector. Covers `deploy_license`, `initialize_text_ai_extension`, the `PYTHON3_TXAIE` language container, the Extraction API classes `StandardExtractor`, `NamedEntityExtractor`, `TopicClassifierExtractor`, `PipelineExtractor`, and `BranchExtractor`, named-entity, zero-shot classification, and feature extraction runs, default-model installation, and result-table querying such as `TXAIE_AUDIT_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。
Deploys and monitors ransomware canary files across critical directories using Python's watchdog library for real-time filesystem event detection. Places strategically named decoy files that mimic high-value targets (financial records, credentials, database exports) in locations ransomware typically enumerates first. Monitors for any read, modify, rename, or delete operations on canary files and triggers immediate alerts via email, Slack webhook, or syslog when interaction is detected, providing early warning before full encryption begins.
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 and prevent public-over-private name resolution in npm, PyPI, and Maven.
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 strategic-consultant-grade meeting minutes from transcripts or notes in Japanese OR English (matching the source language), then run a self-review loop (max 3 iterations) that checks for internal contradictions, action-item omissions, speaker-name errors, and date/day-of-week mistakes before reporting completion. Use this skill whenever the user asks to draft meeting minutes, summarize a transcript, or document a meeting discussion — including Japanese-language transcripts (議事録 / 会議メモ / 文字起こし) and English-language transcripts.
FreeCAD MCPツールを使って3Dモデリングを行う際に、ツールの正しい実行順序を参照・適用するためのスキル。 複数ステップのモデリング（コーヒーカップ・ボトル・穴あきプレート・スイープ形状など）を行うとき、 ブール演算・シェル化・フィレット・パターン・ミラーを組み合わせるときは必ずこのスキルを参照すること。 FreeCAD MCPツール（create_box, combine_by_name, shell_body, add_fillet, extrude_sketch など）を 1つ以上呼び出す可能性があるモデリング作業であれば、迷わずこのスキルを使うこと。
하나의 긴 메서드를 grouping(Reorder/Chunk)·comment로 정돈해 책임을 드러낸 뒤 Arlo Belshee 6단계 네이밍(완전정직 이름 → Extract Method → Intent Revealing → Domain Abstraction)을 하나의 연속 흐름으로 관통하는 self-contained 워크플로우. "이 긴 메서드 이름이 하는 일을 안 드러낸다", "메서드 이름부터 정직하게 만들어서 쪼개줘", "이름 주도로 이 메서드 리팩토링" 요청 시 사용. 단, 여러 파일에 흩어진 개별 이름 스멜의 배치 교체는 /naming-process, 클래스 분리·도메인 이동 같은 대규모 구조 변경은 /system-wide-refactoring이 적합. /intent-revealing-names로 호출.
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。
Arlo Belshee의 6단계 네이밍 프로세스와 Clean Code 네이밍 규칙을 적용해, 여러 파일에 흩어진 개별 이름 스멜(타입 반복·-er/-Utils·불용어·축약어 등)을 탐지하고 배치 교체하여 코드 가독성 향상. 단, 하나의 긴 메서드를 통째로 관통(grouping→extract→rename)하는 것은 /intent-revealing-names가 적합. /naming-process로 호출.
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。
Bulk-localize subscription and in-app purchase display names across all App Store locales using asc. Use when you want to fill in subscription/IAP names for every language without clicking through App Store Connect manually.
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。