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「arize」の検索結果

556 件 ・ 関連度順

概要と使いどころ

Archive, export, and notarize macOS apps using xcodebuild and asc. Use when you need to prepare a macOS app for distribution outside the App Store with Developer ID signing and Apple notarization.

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。

omega-bred/bluebubbles-chatgpt-agent82026年10月13日 更新

Search, summarize, and synthesize economics literature. find research gaps, position your contribution.

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。

zhouziyue233/great-econometrics82026年4月17日 更新

Create a study cheatsheet by extracting and synthesizing key concepts from lecture materials, homework, and past exams. Use this skill whenever a user asks for help making a cheatsheet, study sheet, formula sheet, exam reference sheet, or "one-pager" — especially when they upload lecture slides (PDF/PPTX/DOCX), problem sets, past exams, or scanned/handwritten notes. Trigger this even for casual phrasings like "help me prep for my final," "summarize my course materials into something I can bring to the exam," or "make me a study reference from these slides and homeworks." Tuned for math/science (formulas, proofs, theorems) and CS/engineering (code, algorithms). Processes one file at a time and persists intermediate summaries to disk to avoid blowing past the context window on large courses.

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。

wyc79/cheatsheet-creator-skill82026年8月11日 更新

dod-mosa

無料

Knowledge base from the OUSD(R&E) guidebook Implementing a MOSA in DoD Programs (Feb 2025). Use for the Modular Open Systems Approach as a DoD acquisition + design discipline: the statutory/regulatory basis (10 U.S.C. 4401–4403, FY2017/FY2021 NDAA, DFARS), the five OUSD(R&E) pillars, the plan→modularize→identify→define→standardize interface lifecycle, technical levers (WBS/MIL-STD-881F taxonomy, standards profiling, API-first software, COTS/cybersecurity), MOSA assessment metrics and tools (PART/OAAT/KOSS/SEAM/MAUT), technology-change and DMSMS management, roadmaps, MOSA across the six AAF pathways, and contracting/IP/data-rights mechanics. SCOPE LIMITS: this is U.S. DoD weapon-system acquisition policy, not a general open-architecture or interface-standards reference — it names standards (FACE, OMS, DISR) without reproducing them, is light on detailed engineering of any specific standard, and does not cover the underlying SE processes (use dau-se-guidebook / nasa-npr-7123) or general systems-engineering theory (use sebok).

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。

jgsystemsconsulting/jgs-se-knowledge-packs82026年10月9日 更新

Erfasst, ordnet und verdichtet bereitgestellte Notizen ohne Bindung an einen Speicherort oder eine Notiz-App.

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。

ellmos-ai/skills82026年10月12日 更新

retro

無料

Close a work session properly: reconcile it against the wider collaboration, inventory what was actually built from git log and recently-touched files, summarize the arc, classify each artifact as keep, one-off or promote-to-permanent, route the durable ones to memory, canon or a new skill, save the retro as a vault note, and hand back an enriched /compact block so working memory shrinks without losing the thread. Triggers: "/retro", "/rr", "wrap up the session".

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。

tonydzi/second-brain-starter-kit82026年10月12日 更新

report

無料

Generate a structured report on completed work, a feature area, or a topic. Saved to the reports directory. Invoked by saying "report", "generate report", or "summarize work".

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。

savedpixel/ai-agent-rules-generator82026年4月12日 更新

Read MIKE+ .res1d results via the mike-plus MCP server — list contents, summarize peaks, extract a single time series, or check which nodes flood (peak water level vs ground level). Use when an agent needs to inspect or pull numbers from MIKE+ network results (node water levels, link/reach discharge, velocities, flooding). No MIKE+ license or installation required.

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。

Zhonghao1995/Agentic-MIKE-Plus82026年8月16日 更新

Rewrite dense or technical text into a clear plain-language summary with a fixed structure (TL;DR, why it matters, key points, caveats). Use when the user asks to summarize, simplify, explain, "put this in plain language", or make something readable for a general / non-expert audience.

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。

K-Dense-AI/skill-101-webinar82026年8月19日 更新

DON'T USE THAT SKILL. IT'S JUST AN EXAMPLE. Summarize today's Gmail inbox by category with anonymized senders and subjects, then surface the top 3 emails to focus on next. Run only when the user types /email-summary.

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。

phuryn/claude-template-session72026年7月10日 更新

Optimize a single Jetpack Compose @Composable function. Use when the user wants to improve, polish, animate, or refactor ONE Composable — keywords like "optimize this composable", "make this smoother", "add animation to this", "split this composable", "fix recomposition", "this composable is laggy", "polish this UI", or when user pastes/points to a single @Composable function. Analyzes the target for recomposition issues, missing animations, size/concern splits, and stability problems, then iterates with the user via AskUserQuestion to pick which optimizations to apply, then delegates implementation to the kta-compose-developer agent and summarizes changes. Input MUST be exactly one Composable (file path + function name, or function name alone).

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。

dantech0xff/dreams62026年9月21日 更新

Bootstrap a new Gradle module in any Kotlin Android project. Walks the user through choosing one of three module types — library module (`com.android.library`), feature module (regular Android library that hosts a feature/UI, install-time only), or dynamic feature module (`com.android.dynamic-feature`, on-demand/conditional/instant delivery). Use whenever the user wants to add a module, modularize code, extract a util/data/ui layer, create a new feature, set up Play Feature Delivery, or asks "should this be a library or feature module?". Discovers the project's existing conventions (plugin aliases, namespaces, sibling modules, version catalog) instead of hardcoding any. Pushes back on bad combos (e.g. utility code in a dynamic feature). Stops at scaffolding; app-level wiring is out of scope.

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。

dantech0xff/dreams62026年9月21日 更新

Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.

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。

netanel-abergel/pa-skills62026年5月10日 更新

AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use f

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。

ranbot-ai/awesome-skills62026年10月13日 更新

Join a Google Meet call, transcribe live captions, optionally speak in realtime, and do the followup work afterwards. Use when the user asks the agent to sit in on a meeting, take notes, summarize, respond in-call, or action items from it.

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。

openamer/openamer62026年10月13日 更新

Use OpenAI, Anthropic, Google Gemini, or OpenRouter models from Netlify Functions or Edge Functions without managing provider API keys or accounts — the gateway injects credentials automatically. Reach for this when you add an AI chatbot or completion endpoint, generate images or text with Gemini/GPT/Claude, summarize form submissions with AI, build an LLM-backed API route, stream a long AI generation, or wire up any server-side AI provider call on Netlify. Covers provider SDK setup, injected env vars, model availability, rate limits, credit costs, streaming for long generations, and local dev with netlify dev or the Vite plugin.

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。

bg-szy/TOP-SKILLS62026年9月8日 更新

Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.

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。

bg-szy/TOP-SKILLS62026年9月8日 更新

Generate structured changelogs from git history. Use when user asks "what changed recently", "generate a changelog", "summarize commits" or user wants to understand recent development activity.

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。

bouclem/skills62026年5月31日 更新

xcode-26

無料

Xcode 26 and Apple platform update notes with a focus on Liquid Glass, Foundation Models Framework, and Apple Intelligence. Use when asked to explain, summarize, compare, or implement Xcode 26 era framework changes across SwiftUI, UIKit, AppKit, Foundation, App Intents, StoreKit, MapKit, WidgetKit, visionOS, or Swift language features.

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。

JordanCoin/ios-skills-collection62026年9月10日 更新

Archive, export, and notarize macOS apps using xcodebuild and asc. Use when you need to prepare a macOS app for distribution outside the App Store with Developer ID signing and Apple notarization.

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。

JordanCoin/ios-skills-collection62026年9月10日 更新

Pixel-based motion and UI change analysis from frame sequences or screenshots using computer vision and visual comparison. Use when `.transition` or visual effects are not observable via MotionEyes logs, when you only have screenshots/video, when you need regression diffs across builds, or when you need to summarize on-screen changes without instrumentation. Do not use when MotionEyes traces are available and you need precise timing/values; use `motioneyes-animation-debug` instead.

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。

JordanCoin/ios-skills-collection62026年9月10日 更新

Archive, export, and notarize macOS apps using xcodebuild and asc. Use when you need to prepare a macOS app for distribution outside the App Store with Developer ID signing and Apple notarization.

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。

kvn8888/OpenFoodJournal52026年10月10日 更新

Operate the Teams meeting summary pipeline via FETIH CLI — summarize meetings, inspect pipeline status, replay jobs, manage Microsoft Graph subscriptions.

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。

MustafaKemal0146/fetih52026年10月11日 更新

Reads Copilot conversation history and extracts executive-ready success stories. Use when the user asks to study prior Copilot sessions, summarize what was done before, mine evidence, or quantify time, cost, risk, and priority alignment from GitHub Copilot history in any workspace or repository.

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。

AndrewBrown-USDA/aigb-skills-usda52026年10月10日 更新