'pst' 검색 결과

ai-agent-campの教材をupstreamから安全に同期するスキル。 「教材を最新にしたい」「upstreamから更新」「コースを同期」「git pullしたい」「教材アップデート」等のリクエストで発動。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Lightweight guidance for using the Upstash Workflow SDK to define, trigger, and manage workflows. Use this Skill whenever a user wants to create workflow endpoints, run steps, or interact with the Upstash Workflow client.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Work with the @upstash/box SDK for sandboxed cloud containers with AI agents, shell, filesystem, and git. Use when building with Upstash Box, creating sandboxed environments, running AI agents in containers, or orchestrating parallel boxes.

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Work with the upstash-box Python SDK for sandboxed cloud containers with AI agents, shell, filesystem, git, cron schedules, snapshots, and a headless browser. Use when building with Upstash Box in Python, creating a sandbox or isolated environment to run untrusted or agent-generated code, running AI coding agents in containers, giving an agent a cloud dev environment with a shell and repository, browser automation from a box, scheduling recurring jobs inside a box, saving and restoring snapshots, or orchestrating parallel boxes.

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Rate limiting for serverless and edge apps with the @upstash/ratelimit TypeScript/JavaScript SDK backed by Upstash Redis. Use when adding a rate limiter or throttling to an API route, Next.js middleware, Vercel Edge, Cloudflare Workers, or any HTTP endpoint; returning 429 Too Many Requests; choosing between fixed window, sliding window, and token bucket algorithms; limiting per user, IP, API key, or tenant with prefixes and custom keys; protecting login, signup, form, or AI endpoints from abuse, bots, and brute force; using deny lists, ephemeral caching, analytics, timeouts, and multi-region rate limits; or estimating the Redis command cost of rate limiting. Also use when the user says rate limit, rate-limiting, throttle, quota, request limits, or traffic protection.

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Provision a zero-config, no-signup, temporary Upstash Redis database for an AI agent with a single POST to https://upstash.com/start-redis, with no account, API key, or SDK setup required. Use when an agent needs scratch Redis right now and the user has not provided credentials, for short-term memory across tool calls, conversation history, a sub-agent work queue, ranked recall, or a quick prototype or demo. Covers idempotent creation and re-fetching credentials, calling the database through the body-style REST API or the official SDKs, and telling the user how to claim it. The database lives 3 days unless the user claims it; not for production data, PII, or secrets.

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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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Work with the @upstash/box TypeScript/JavaScript SDK for sandboxed cloud containers with AI agents, shell, filesystem, git, cron schedules, snapshots, and a headless browser. Use when building with Upstash Box, creating a sandbox or isolated environment to run untrusted or agent-generated code, running AI coding agents in containers, giving an agent a cloud dev environment with a shell and repository, browser automation from a box, scheduling recurring jobs inside a box, saving and restoring snapshots, or orchestrating parallel boxes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Prepare and publish upstream issues, feature requests, discussions, pull or merge requests, and patch submissions in the channel the canonical project expects. Use when reporting a problem upstream, requesting a feature, contributing a change, or asking to submit upstream.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments, deleted items, and metadata using libpff, pst-utils, and forensic email analysis tools for legal investigations and incident response.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

NVIDIA DeepStream model-import guidance for bringing vision models from Hugging Face or NVIDIA NGC into DeepStream pipelines with export, TensorRT build, and benchmark steps.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments, deleted items, and metadata using libpff, pst-utils, and forensic email analysis tools for legal investigations and incident response.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ルート直下の `skills-lock.json` の `computedHash` を upstream リポジトリの最新状態と照合して更新する。`source` が `Fandhe-AI/<repo>` に完全一致しないエントリは clone せず skip (安全弁)。submodule 配下の `skills-lock.json` は触らない。contribute-skill のマージ後や upstream 同期後、「ハッシュ更新」「skills-lock 同期」などで使用。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ローカルで改修した `skills/<skill-name>/` を upstream リポジトリ (Fandhe-AI/agent-cli-skills 等) へ PR として投稿する。`skills-lock.json` の `source` を読み、`Fandhe-AI/` 以外への push は安全弁で中止。clone → 反映 → セキュリティチェック → ブランチ作成 → push → `gh pr create` を実行。マージ後は sync-skills-lock で hash 更新。「スキルを upstream に貢献」「外部リポジトリに PR」などで使用。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments, deleted items, and metadata using libpff, pst-utils, and forensic email analysis tools for legal investigations and incident response.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Discover a UI/UX design resource during planning through this catalog entry. It identifies the upstream skill, but its pattern data, templates, and search tools require a separate installation before the full workflow can run.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Considering UI/UX resources during design planning
• Checking whether the full skill is installed
• Finding guidance for installing the upstream bundle

Update Flask-AppBuilder in Apache Airflow’s FAB provider, including pinned versions, dependency locks, and documentation. Check compatibility tests and review copied security code, with asset and database migration updates when the upstream release requires them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Upgrade the FAB provider to a newer Flask-AppBuilder release
• Review upstream authentication fixes against Airflow's copied code
• Resolve compatibility failures after a dependency update

Update a customized NanoClaw installation with official changes. The skill stages and tests updates in a separate workspace, manages required migrations, restarts the detected service, and restores saved local state if the build or health checks fail.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Apply routine official updates to a customized installation
• Review and resolve conflicts before changing the live installation
• Apply selected upstream commits

Prepare a pull request to contribute local qm changes back to the shared project. Builds a clean contribution branch and checks commit history, files, authorship, and review materials for private organizational details before submission.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Contribute a local qm bug fix to the shared project
• Check outgoing commit history for private details
• Prepare a clean contribution branch from a private fork

Build PHP 8.3+ applications with Laravel or Symfony, including typed models, services, APIs, and tests. Use static analysis, which checks code without running it, alongside automated tests to verify the implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building APIs with Laravel or Symfony
• Separating business logic from controllers
• Creating typed data objects and domain models

Review Renovate pull requests that update GitHub Actions. Verify pinned commits against upstream version tags, inspect release notes for breaking changes, and check existing workflow settings before giving a clear recommendation on whether to merge.

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• Reviewing GitHub Actions updates proposed by Renovate
• Verifying pinned commits against upstream version tags
• Checking breaking changes and workflow compatibility

Translates LaTeX documents (.tex) to Typst (.typ), focusing on article-class documents. Use when asked to convert, port, migrate, or translate LaTeX to Typst. Covers document structure, text formatting, page layout, math equations and symbols, figures, tables, TikZ-to-CeTZ diagrams, bibliography, cross-references, footnotes, and code blocks. Includes comprehensive symbol mapping tables.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement. Use when the user asks for an efficient, performant, or profiled pipeline — or to benchmark, tune, or measure FPS.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill to bring a supported object-detection vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors export, TRT engine build, custom nvinfer bbox parser, multi-stream benchmark, and PDF report. Object detection models only.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.