「latest」の検索結果

Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.

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Run the "get dependencies current" flow for this monorepo — sweep for available updates, triage into safe / deliberate / wait buckets, bump the pnpm catalog, and prove it with the typecheck + e2e gate. Use when asked to "update dependencies", "are we on the latest", "do the quarterly sweep", "bump deps", or when the recurring sweep ticket comes due. We run NO update bot on purpose (#141) — this skill IS the update process.

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Creates or adds Convex to an app. Use for new Convex projects, npm create convex@latest, frontend setup, env vars, or the first npx convex dev run.

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。

Integrate Convex static self hosting into existing apps using the latest upstream instructions from get-convex/self-hosting every time. Use when setting up upload APIs, HTTP routes, deployment scripts, migration from external hosting, or troubleshooting static deploy issues across React, Vite, Next.js, and other frontends.

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。

Creates or adds Convex to an app. Use for new Convex projects, npm create convex@latest, frontend setup, env vars, or the first npx convex dev run.

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。

Integrate Convex static self hosting into existing apps using the latest upstream instructions from get-convex/self-hosting every time. Use when setting up upload APIs, HTTP routes, deployment scripts, migration from external hosting, or troubleshooting static deploy issues across React, Vite, Next.js, and other frontends.

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。

TLS 1.3 (RFC 8446) is the latest version of the Transport Layer Security protocol, providing significant improvements over TLS 1.2 in both security and performance. It reduces handshake latency to 1-R

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Rebase onto latest upstream, checking for soft conflicts

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Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawhub CLI.

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Use when working on Nuxt 4+ projects - provides server routes, file-based routing, middleware patterns, Nuxt-specific composables, and configuration with latest docs. Covers h3 v1 helpers (validation, WebSocket, SSE) and nitropack v2 patterns. Updated for Nuxt 4.3+.

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Save the latest learning as a numbered markdown file under ~/.claude/learnings and update the learnings index with title and tags. Use when the user says "save", asks to record a learning, or wants the current insight stored for later.

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。

Track build processing, find latest builds, and clean up old builds with asc. Use when managing build retention or waiting on processing.

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 social media announcements for Discord, Twitter/X, Facebook, and LinkedIn from the latest changelog entry. Use when user asks to 'create release announcement' or 'create social posts' or share changelog updates.

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Use when the user wants to update, refresh, or reinstall the CopilotKit agent SKILLS (the SKILL.md files that teach this agent about CopilotKit). NOT for updating the CopilotKit codebase or project — this is specifically about refreshing the skills/knowledge this agent has loaded. Triggers on "update copilotkit skills", "update skills", "refresh skills", "skills are stale", "skills are outdated", "get latest skills", "my copilotkit knowledge is wrong", "copilotkit APIs changed", "skills seem old", "wrong API names", "reinstall skills", "skills not working right", "update your copilotkit knowledge".

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Deep, iterative internet research for current facts, source triangulation, contradiction checks, due diligence, competitive analysis, claim verification, "latest" lookups, and cited reports. Use when the user asks to browse, search, research the web, verify claims, compare sources, gather primary sources, investigate companies, people, products, technical topics, news, events, markets, or create AKBP-ready durable research evidence.

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。

Install and authenticate the flowctl CLI for Estuary. Use when setting up flowctl for the first time, troubleshooting authentication, upgrading to the latest version, or configuring programmatic access for CI/CD. Use when user says "install flowctl", "set up flowctl", "flowctl auth", "how to authenticate", "token expired", "not authenticated", "FLOW_AUTH_TOKEN", "CI/CD setup", "programmatic access", "upgrade flowctl", "flowctl not found", "command not found flowctl", "Exec format error", or "flowctl on Windows".

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We find that the evolution of cooperation differs markedly across base models, with societies of Cla

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Cuts the next minor release of Prisma Composer: bumps the root package.json version, propagates it to every workspace package in lockstep, and opens a PR titled "chore(release): v<next-version>". When a maintainer merges the PR, the `Publish to npm` workflow runs automatically and ships the new version to npm under dist-tag `latest`, plus a matching GitHub Release with auto-generated notes. Use when a maintainer asks to "cut the next minor", "bump to the next version", "open a release PR", or "prepare a publish PR".

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PVDetector, a training-free framework that detects PI attacks during LLM inference by measuring hidd GAP: no mappable capability in latest signal (our

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Datasets : ProntoQA, FOLIO, ProofWriter, ConditionalQA, StrategyQA Model : GPT-5 (Azure deployment) Config : max_attempts=3 , verify_timeout=10000ms B

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MegaTrain Full Precision Training of 100B+ Parameter LLMs on a Single GPU A RAM-centric architecture that stores parameters in host memory and treats

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Our large-scale experiment with 19 LLMs reveals that current models degrade documents during delegation: even frontier models (Gemini 3.

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In each setting, LLM-based methods substantially outperform classical baselines, achieving up to 68% recall at 90% precision compared to near 0% for t

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August 24, 2026 1 Introduction Reinforcement Learning (RL) has emerged as a highly effective approach for training Large Language Models (LLMs), yet i

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。