「spa」の検索結果

Analyze pre-trained generative diffusion models (Stable Diffusion, DALL-E, Flux) by computing quality metrics (FID, IS, CLIP score, precision/recall), inspecting noise schedules, extracting and visualizing attention maps, and probing latent spaces. Use when evaluating a pre-trained generative diffusion model's output quality, comparing noise schedule variants, analyzing cross-attention patterns for text-conditioned generation, interpolating between latent codes, or detecting out-of-distribution inputs.

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 reusable Shiny modules with proper namespace isolation using NS(). Covers module UI/server pairs, reactive return values, inter-module communication, and nested module composition. Use when extracting a reusable component from a growing Shiny app, building a UI widget used in multiple places, encapsulating complex reactive logic behind a clean interface, or composing larger applications from smaller, testable units.

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 runs /workspace-unfreeze on a frozen path to make it editable again. Not for automated or unattended runs: requires explicit human invocation.

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。

Analyze Ascend NPU schedule, operator dispatch, operator launch, and Host Bound profiling issues in Ascend profiling data. Use when need to diagnose device Free time, framework/operator dispatch latency, launch latency, PYTORCH_API/CANN_API launch gaps, aclrtSynchronizeStream stalls, task queue behavior, CPU scheduling interference, GC/lock pauses, CPU affinity, or schedule-side optimization actions.

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。

Work with the @upstash/vector TypeScript/JavaScript SDK, a serverless vector database for embeddings, similarity search, semantic search, and RAG (retrieval-augmented generation). Use when upserting, querying, fetching, ranging, or deleting vectors, upserting raw text against an index with a built-in embedding model, choosing dense, sparse, or hybrid indexes, filtering by metadata, organizing data with namespaces, running resumable queries, or connecting Upstash Vector to an AI or LLM application. Also use when the user asks for a vector store, vector search, nearest-neighbor or kNN search, embeddings storage, semantic cache, recommendations or similarity features, or a hosted vector index that needs no infrastructure.

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。

当用户想使用 HiAgent 观测(observe)能力（API Token、Trace Spans 查询）时，务必使用这个技能给出可直接执行的 cli-anything-hiagent observe 命令与排障步骤。尤其适用于用户提到 agent-harness、cli_anything、--json、workspace-id、custom-app-id、VOLC_ACCESSKEY/VOLC_SECRETKEY、observe token、observe trace，以及希望用命令行(cli-anything-hiagent / python -m cli_anything.hiagent_sdk)。trace-ai-process / trace-ai-history / alert-ai-process / RuleID / IsStream

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Pitfalls, examples, and edge cases for workers executing a Surogates subagent task. Loaded automatically when the dispatcher spawns a session bound to a Task (Session.task_id is set).

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The Arbor research-coordinator protocol: the OBSERVE -> IDEATE -> SELECT -> DISPATCH -> DECIDE cycle over a durable Idea Tree. Preloaded automatically on /auto-research sessions. The coordinator never edits code or runs commands — executors do that in isolated worktrees; the coordinator steers the tree with idea_tree / dispatch_experiments / merge_experiment.

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Makers 开发专家团前端工程师 Skill — React/Vue/Next.js/Nuxt/Astro 前端开发， 静态页面、SPA/MPA、Tailwind CSS 样式、前端工程化。 触发词：前端页面、UI 组件、React 开发、Vue 开发、Next.js 页面、 搭一个前端、SPA、静态站点、Tailwind 样式。

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。

Sets up a complete per-client workspace in Cowork with isolated context, preferences, deliverable templates, running notes, decision log, and automatic status reporting. For consultants, agencies, and professional services. Useful when onboarding a new client, during engagement kickoffs, for organizing existing client relationships, and when multiple clients need isolated context. Use when the user says "set up a client", "new client project", "client system", "client context", "client workspace", or "onboard a client".

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。

Dispatch to the right problem-solving technique based on how you're stuck

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。

Bootstrap new 33GOD ecosystem agents with standardized configuration. Use when creating new agents, spawning workers, deploying Yi nodes, or when the user says "spin up an agent", "create a new agent", "deploy a new worker", or needs a new agent for a specific pipeline role. Handles workspace creation, config injection, skill installation, provider mirroring, channel binding, and 33GOD ecosystem onboarding (GOD Docs, Plane, Bloodbank, memory).

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 legacy prompts or older framework flows reference `dispatching-parallel-agents` and you need the modern runtime to resolve that capability cleanly.

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。

Turn any context (blog URL, pasted article, PR diff, meeting notes, release notes, raw prompt) into a narrated explainer mp4 with slides, subtitles, and optionally a talking-head avatar. Uses a free local stack (Pillow + edge-tts + ffmpeg) with optional SadTalker for the avatar. Use when the user says "動画化", "explainer video", "解説動画作って", "ブログを動画に", "記事を動画化", "PRを動画で説明", "議事録を動画化", "context to video", or wants an mp4 from arbitrary text/source. Output is mp4 + srt under the user's chosen project workspace.

Run a retro for personal global ~/.copilot assets and turn incident learnings into updates for copilot-instructions, instructions, skills, agents, and hooks. Not for workspace/repository assets, VS Code User Data assets, or a private skills repository. Triggers on retro, retrospective, incident learning, error analysis, copilot setup, instructions update, インシデント, and 知見反映.

Build a customer-facing Azure Update PowerPoint from Azure Updates MCP results, including customer classification, Japan region stamps, UPDATE Points, speaker notes, and Verify-Pptx gate checks. Use when creating or updating an Azure Update / Azure アップデート customer deck, bootstrapping a new Azure Update PPTX workspace, reviewing Deploy Region support, or re-applying manifest JSON to an existing deck.

Use when hunting CI/CD bot comment command vulnerabilities where issue_comment or pull_request_review_comment triggers invoke privileged workflows without verifying the commenter's identity or authorization. Trigger on: "bot command injection", "issue_comment trigger", "@github-actions", "slash command CI", "CI bot command", "comment triggered workflow", "unauthenticated bot", "github-actions publish", "comment dispatch", no authorization check on workflow_dispatch from comment, chatops CI/CD, supply chain via PR comment.

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。

Explain what slushpile is, what each skill does, what order to run them in, where the workspace files live, and how to set up a voice agent. Use when the user asks how slushpile works, what to run next, or how to fix a workspace problem.

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。

Set up a slushpile workspace. Ingests an existing resume or LinkedIn export, interviews the user to fill the gaps, then writes profile.md, preferences.yaml, and stories.md. Run once per workspace, before any other slushpile 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。

pnpm workspace protocol, filtering, catalogs, shared dependencies, publishing, and CI/CD for monorepo management

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。

Scaffold a PhysicsIntern research workspace in the current folder. Run only when the user explicitly invokes it to set up a new physics/maths research workspace.

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。

Create a new component in the Modules folder from template with proper documentation and placeholders replacement.

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。

Add or update the code syntax in demo app from all components

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。

Launch some action before create push in git

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。