「stream」の検索結果

Author and run a durable AI chat agent with chat.agent from @trigger.dev/sdk/ai: the per-turn run loop, why you MUST spread ...chat.toStreamTextOptions() first, returning a StreamTextResult vs calling chat.pipe(), the two server actions (chat.createStartSessionAction + auth.createPublicToken), and wiring useChat to useTriggerChatTransport. Load this when building, modifying, or debugging a chat backend (the agent task or its lifecycle hooks) or its React transport, when declaring typed tools or custom data parts, or when migrating a plain AI SDK streamText route to chat.agent.

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。

直播切片：从电商直播录屏中找出高光片段（按时间戳 / 按字幕关键词 / 按停顿自动提议），批量导出 9:16 竖屏切片，自动模糊填充横屏画面、烧录标题与字幕、响度标准化，并给切片写标题与开头钩子。Use when the user has a livestream recording and wants 直播切片, 切片, highlights, clips, 高光片段, repurpose a live stream into short videos for 抖音 / 视频号 / TikTok.

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。

This skill should be used when the user asks to "fix mypy errors", "add type annotations", "fix type checking", "resolve no-untyped-def", "fix mypy type errors", or when working with type hints while respecting StreamFlow's forbidden type constraints (no Any, dict[str, Any], etc.).

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。

This skill should be used when the user asks to "write a test", "run tests", "add a test for", "test this function", "check test coverage", "run the test suite", or when writing pytest tests for StreamFlow features or bug fixes.

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。

This skill should be used when the user asks to "update the changelog", "add a changelog entry", "write a CHANGELOG entry", or when preparing a git commit in StreamFlow that requires updating the `## [Unreleased]` section of `CHANGELOG.md`.

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。

This skill should be used when the user asks to "write documentation", "add a doc page", "update RST files", "add a tutorial", or when writing or editing Sphinx RST documentation for StreamFlow.

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。

This skill should be used when the user asks to "write a commit message", "create a commit", "format a commit", "what commit type to use", or when preparing changes for a git commit in StreamFlow. Provides commit message format, type conventions, and examples.

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。

This skill should be used when the user asks to "add docstrings", "write error handling", "use naming conventions", "handle exceptions", or when writing new Python code for StreamFlow that requires docstring format, naming conventions, exception handling, or async cleanup patterns.

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。

Assesses upstream oil and gas assets with reserve estimation, production decline curves, and net asset value modeling. Use when evaluating E&P assets, analyzing reserve reports, or modeling upstream economics.

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。

Evaluates midstream assets with throughput analysis, fee-based vs commodity-exposed revenue, and contract structure assessment. Use when analyzing midstream investments, evaluating pipeline assets, or assessing gathering systems.

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。

TanStack Start full-stack React framework best practices for server functions, middleware, SSR/streaming, SEO, authentication, and deployment. Use when building full-stack React apps with TanStack Start, implementing server functions, configuring SSR/streaming, managing SEO and head tags, setting up authentication patterns, or deploying to Vercel/Cloudflare/Node.

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/redis TypeScript/JavaScript SDK, a serverless HTTP-based Redis client for Next.js, Vercel, Cloudflare Workers, edge runtimes, and Node.js. Use when adding a cache (cache-aside, write-through, TTL and expiration strategies), session storage and user sessions, a key-value store, leaderboards and rankings with sorted sets, counters, distributed locks, queues with lists, streams and consumer groups, sparse index-addressed arrays and ring buffers (ARSET, ARINSERT, ARRING, ARGREP, AROP), embeddings and nearest-neighbour vector search stored inside Redis (VECTOR commands via redis.vector, separate from @upstash/vector), JSON documents, pipelines and MULTI/EXEC transactions, Lua scripting, read replicas, or full-text search, typo-tolerant search, facets, aggregations, and search over Redis stream entries with Upstash Redis Search (different from regular FT.SEARCH; also available for TCP clients via @upstash/search-redis and @upstash/search-ioredis). Also use when migrating from ioredis or node-redis, when a Redis connection is needed from a serverless function without connection pooling, when integrating @upstash/ratelimit, or when the user says Redis cache, KV store, session store, serverless Redis, or Upstash Redis. Also use when building AI agents on Redis with Upstash AgentKit (agent memory, chat history, RAG tools, tool caching, chat persistence, resumable streams, distributed locks) for the Vercel AI SDK, TanStack AI, or Vercel Eve. Supports automatic serialization/deserialization of JavaScript types.

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 Solana trading applications combining DFlow trading APIs with Helius infrastructure. Covers spot swaps (imperative and declarative), prediction markets, real-time market streaming, Proof KYC, the DFlow Agent CLI for autonomous trading, transaction submission via Sender, fee optimization, shred-level streaming via LaserStream, and wallet intelligence.

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 streaming durable workflow updates to a UI in real time — live order status pages that animate as steps complete, AI agent token streaming from a function to the browser, log tailing for long-running jobs, or human-in-the-loop approval flows that publish a prompt and wait for a user reply. Covers Inngest v4 native realtime: defining typed channels, publishing from inside step.run, minting subscription tokens via server actions, and consuming the stream from React/Next.js client 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。

Pick the right Pulp Stream for a given I/O task, wire async callbacks correctly without deadlocking the worker, and avoid the backpressure / cancellation footguns in `pulp::runtime::AsyncStream`.

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 a task needs the judgment of a Data Engineer — designing an idempotent pipeline operation so retries and backfills don't corrupt data, choosing event-time over processing-time partitioning for time-series aggregation, enforcing schema compatibility rules before an upstream change propagates downstream, adding automated data quality checks to a pipeline, or deciding between batch and streaming architecture for a specific freshness requirement.

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。

Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact analysis for a BigQuery table or view. - Assessing the consequences of modifying, deleting, or pausing updates to a BigQuery asset. - Identifying downstream dependencies (tables, dashboards, processes) of a BigQuery asset. Don't use for: - General BigQuery querying or data analysis (use BigQuery-related tools instead). - Non-BigQuery assets (e.g., Cloud Storage files) unless they are part of the BigQuery lineage. - Creating or modifying lineage links directly.

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。

Reports how local Git branches are progressing toward canonical upstream inclusion as a compact terminal table plus a browser-rendered HTML report, with branch purpose, stack dependencies, Git Machete topology, ahead/behind counts, change-request status, and next action. Use when asked for upstreaming status, local branch submission progress, which branches have change requests, or what remains before they can land.

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Rebases every local branch of a fork onto a moved upstream, flags the ones upstream has superseded, and rebuilds the mixdown branch that combines them. Use after fetching a fork's upstream and finding it has advanced far, been force-pushed, or rewritten its history; when several stacked or sibling branches all need bringing forward at once; when a branch was cut from a mixdown and now carries merge commits it should not have; or when asked to rebase all branches, re-mix, or bring a whole worktree set up to date.

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。

Manage agent-skill lifecycles across local, global, project, Skill Hub, skills.sh, GitHub, plugin-cache, and system roots. Use when searching, recommending, installing, updating, upgrading, syncing, merging, auditing, deduplicating, cleaning, packaging, publishing, or validating skills; choosing project versus global scope; verifying upstream source, stars, or installs; or working with skill-upgrade, check_upstreams.ps1, sync-pull/push, junctions, skills-lock.json, or skill-upstreams.json. Do not use for ordinary software-package upgrades or non-skill file cleanup.

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。

Manage Agent Skills across Codex, Claude Code, local/global/project roots, Skill Hubs, GitHub, skills.sh, and managed plugin caches. Use when searching, installing, updating, upgrading, syncing, merging, auditing, deduplicating, cleaning, packaging, publishing, validating, resolving upstream sources, choosing runtime or scope, or working with skill-upgrade, check_upstreams.ps1, Claude Code plugins, skills-lock.json, or skill-upstreams.json. Do not use for ordinary software-package upgrades or non-skill file cleanup.

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。

Applies standard AI review policy guidelines for upstream (design) phase reviews.

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。

Applies standard AI review policy guidelines for midstream (implementation) phase reviews.

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。

Applies standard AI review policy guidelines for downstream (test/QA) phase reviews.

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。