「cloud」の検索結果

Identify and annotate cloud cost implications of architectural decisions. Use when reviewing infrastructure changes or designing new services.

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。

Publish the octop-memory Python package: cut a release branch from develop, bump version, update CHANGELOG / README, open a PR to main; after merge, Actions tag on main (PyPI + GitHub Release) and sync main into develop. Use when the user asks to publish, release, bump version, cut a release, or run /publish.

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。

Go-based security techniques from "Black Hat Go" extended with macOS, Cloud, Mobile, IoT, Supply Chain, API, Web3, AI/ML, Red Team, ATT&CK, and LLM chapters. 186 techniques, 36 tools, 33 defenses across 37 chapters. Includes adversarial bisimulation games with Ungar (order-dependent) and join-semilattice structures. AAIF-compatible multiplayer agent games for human-agent security exercises.

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 AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications.

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。

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

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。

Bridge layer connecting the Agentic AI Foundation (AAIF) governance structure — Linux Foundation stewardship of MCP, goose, AGENTS.md — to the plurigrid/asi skill graph. Formalizes AAIF-compatible skill registration, IPSIE identity profiles, and the cross-protocol interoperability surface. Maps the AAIF platinum member ecosystem (AWS, Anthropic, Block, Bloomberg, Cloudflare, Google, Microsoft, OpenAI) to specific ASI skill integration points.

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。

Systematic process for analyzing and modernizing legacy applications to comply with the 12-Factor App methodology. Covers code analysis, configuration externalization, dependency management, and container/Kubernetes best practices.

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。

When setting up local LLM inference without cloud APIs. When running GGUF models locally. When needing OpenAI-compatible API from a local model. When building offline/air-gapped AI tools. When troubleshooting local LLM server connections.

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。

Publish the octop-gateway Python package: cut a release branch from develop, bump version, update CHANGELOG / README, open a PR to main; after merge, Actions tag on main (PyPI + GitHub Release) and sync main into develop. Use when the user asks to publish, release, bump version, cut a release, or run /publish.

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。

GTM prospecting, enrichment, outreach, and Deepline Play work/audits. Providers: adyntel,affinity,ai_ark,akta,allegrow,amplemarket,apify,attention,attio,aviato,bettercontact,bigquery,bluesky,bounceban,brave,browserbase,builtwith,cbinsights,clay,clickhouse,cloudflare,contactout,contextdev,crunchbase,crustdata-v3,customer_db,databricks,dataforseo,datagma,dealroom,deepline_ip_to_company,deepline_native,deeplineagent,discolike,dropleads,edges,emailbison,emailguard,enformion,enigma,exa,findymail,firecrawl,fireflies,firmable,forager,fullenrich,fundable,generic_http,getleads,gong,google_ads_audiences,google_workspace,govfiles,grain,hackernews,harvestapi,heyreach,hubspot,hunter,icypeas,instantly,intercom,ipqs,kaspr,kernel,leadmagic,lemlist,limadata,linkedin_ads_audiences,luma,lusha,meta_audiences,millionverifier,nooks,notion,openmart,opensosdata,openwebninja,outreach,parallel,peopledatalabs,pitchbook,podscan,polymarket,postgres,predictleads,prospeo,quickenrich,rapidapi,redshift,rocketreach,salesforce,salesforge,….

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。

Puts a web page on the internet for free, with no terminal and no paid plan — a folder of HTML/CSS/JS, or a page Claude just built. Checks the page for the things that silently break it once it's live (wrong filename, broken image paths, capitalisation that works on your computer and 404s on the host, API keys left in the JavaScript), then walks through publishing it on Cloudflare Pages, Netlify, GitHub Pages or Render, and connecting a custom domain. Use when the user says "publish my website", "put my page online", "deploy my HTML", "host my site for free", "sube mi página web", "publicar mi página", "quiero subir mi página a internet", "dónde subo mi HTML", "hosting gratis", "free hosting", "custom domain", "dominio propio", or has a web page and doesn't know where to put it. For a web app, an API or anything with a backend, use /all-deploy 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。

Technical analysis frameworks — candlestick patterns, Ichimoku cloud, technical indicators (RSI/MACD/EMA/Bollinger), harmonic patterns (Gartley/Bat/Butterfly/Crab), Elliott Wave, Chan Theory (缠论 bi/zhongshu/buy-sell points), Smart Money Concepts (BOS/FVG/Order Block), and Turtle Trading signals with ATR/Unit position sizing. Triggers: "技术分析", "K线形态", "蜡烛图", "一目均衡表", "RSI", "MACD", "布林带", "谐波形态", "艾略特波浪", "缠论", "分型", "笔", "中枢", "Smart Money", "BOS", "FVG", "海龟交易", "海龟信号", "K線形態", "蠟燭圖", "一目均衡表", "纏論", "ichimoku", "candlestick pattern", "K线形态识别", "形态识别", "识别K线", "识别形态", "harmonic", "Elliott Wave", "chan theory", "turtle trading", "SMC", "technical indicators", "技術分析", "海龜交易", "海龜信號", "諧波形態"

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 and query a local Markdown knowledge base ("vault"). TWO functions — (1) CONVERT raw files (PDF, Word/docx, PowerPoint/pptx, Excel/xlsx, csv/tsv, images, html, md/txt, json/yaml/code, audio/video) into clean Markdown with retrieval-friendly frontmatter; local-first (pandoc / python-pptx / openpyxl / pymupdf4llm / whisper), with cloud OCR (MinerU) only as a fallback. (2) ANSWER questions over the resulting vault with retrieval discipline — self-monitor coverage, flag missing/lossy content, and propose Maps-of-Content (MOCs). Triggers: "build/sync my local knowledge base", "convert these files to markdown for AI", "整理我的资料库", "把文件转成 md 给 AI 读", "本地知识库", "读我的本地 vault 回答", "这个主题我的资料里怎么说". Not for: one-off web research, or files that are already in a single doc you can read 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。

Import or register a local project with Agentuity Cloud. Requires authentication. Use for project management operations

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 stateful AI agents using the Cloudflare Agents SDK. Load when creating agents with persistent state, scheduling, RPC, MCP servers, email handling, or streaming chat. Covers Agent class, AIChatAgent, state management, and Code Mode for reduced token usage.

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。

Upload tailored resume to cloud or attach to user session. Handles final formatting and delivery.

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 launching Clownfish in GitHub Actions to create or update one guarded GitHub implementation PR from issue/PR refs, a ClawSweeper report, a custom maintainer prompt, or opt any PR into ClawSweeper-reviewed Clownfish automerge.

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。

Read, search, and manage Confluence Cloud pages, spaces, blog posts, comments, attachments, and labels. Use this whenever the user wants to find a page, read a doc, search the wiki with CQL, create or update a page, add a comment, list pages in a space, pull an attachment, or ask "what does the wiki say about X" — even if they don't say "API". Also use it for any *.atlassian.net/wiki URL, or a CQL string when the context is wiki content rather than tickets. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.

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。

Read and manage Jira Cloud issues, projects, boards, sprints, comments, and transitions. Use this whenever the user wants to search issues with JQL, create or update a ticket, transition an issue (move to In Progress / Done), add a comment, check a sprint or board, look up a project, or ask "what's in my Jira queue" — even if they don't say "API". Also use it for any *.atlassian.net URL, an issue key like "PROJ-123", or a JQL string. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.

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 whenever the user wants to find, shortlist, vet, or enrich US cybersecurity firms — pen-testing/red team, security audits, vCISO, SOC 2 readiness, incident response, managed SOC, IAM, cloud security, and AppSec. Triggers on "find me a pen-testing firm for our SOC 2 audit", "shortlist three vCISO services for our healthcare-tech startup", "we need an incident response retainer", or "pull contact info for these 8 security firm domains", even when described indirectly (we got breached, prepare us for the compliance audit, get us SOC 2 ready). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Skip in-house security hires, "how do I patch CVE-X" or "configure firewall Y" DIY questions, security-product reviews (CrowdStrike vs SentinelOne, etc.), generic security knowledge questions, consumer/personal security advice, non-US firms, individual freelancers and bug-bounty hunters.

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。

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

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。

Drive and verify the Kody app with a Feature Map and one CLI. Use when changing UI, account routes, preview deploys, or proving a Cloud Agent change with a real origin, session, and /health SHA.

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。

Personal AI Infrastructure (PAI) - PAI System Template MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. === CORE IDENTITY (Always Active) === Your Name: [CUSTOMIZE - e.g., Kai, Nova, Atlas] Your Role: [CUSTOMIZE - e.g., User's AI assistant and future friend] Personality: [CUSTOMIZE - e.g., Friendly, professional, resilient to user frustration. Be snarky back when the mistake is user's, not yours.] Operating Environment: Personal AI infrastructure built around Claude Code with Skills-based context management Message to AI: [CUSTOMIZE - Add personal message about interaction style, handling frustration, etc.] === ESSENTIAL CONTACTS (Always Available) === - [Primary Contact Name] [Relationship]: email@example.com - [Secondary Contact] [Relationship]: email@example.com - [Third Contact] [Relationship]: email@example.com Full contact list in SKILL.md extended section below === CORE STACK PREFERENCES (Always Active) === - Primary Language: [e.g., TypeScript, Python, Rust] - Package managers: [e.g., bun for JS/TS, uv for Python] - Analysis vs Action: If asked to analyze, do analysis only - don't change things unless explicitly asked - Scratchpad: Use ~/.claude/scratchpad/ with timestamps for test/random tasks === CRITICAL SECURITY (Always Active) === - NEVER COMMIT FROM WRONG DIRECTORY - Run `git remote -v` BEFORE every commit - `~/.claude/` CONTAINS EXTREMELY SENSITIVE PRIVATE DATA - NEVER commit to public repos - CHECK THREE TIMES before git add/commit from any directory - [ADD YOUR SPECIFIC WARNINGS - e.g., iCloud directory, company repos, etc.] === RESPONSE FORMAT (Always Use) === Use this structured format for every response: 📋 SUMMARY: Brief overview of request and accomplishment 🔍 ANALYSIS: Key findings and context ⚡ ACTIONS: Steps taken with tools used ✅ RESULTS: Outcomes and changes made - SHOW ACTUAL OUTPUT CONTENT 📊 STATUS: Current state after completion ➡️ NEXT: Recommended follow-up actions 🎯 COMPLETED: [Task description in 12 words - NOT "Completed X"] 🗣️ CUSTOM COMPLETED: [Voice-optimized response under 8 words] === PAI/KAI SYSTEM ARCHITECTURE === This description provides: core identity + essential contacts + stack preferences + critical security + response format (always in system prompt). Full context loaded from SKILL.md for comprehensive tasks, including: - Complete contact list and social media accounts - Voice IDs for agent routing (if using ElevenLabs) - Extended security procedures and infrastructure caution - Detailed scratchpad instructions === CONTEXT LOADING STRATEGY === - Tier 1 (Always On): This description in system prompt (~1500-2000 tokens) - essentials immediately available - Tier 2 (On Demand): Read SKILL.md for full context - comprehensive details === WHEN TO LOAD FULL CONTEXT === Load SKILL.md for: Complex multi-faceted tasks, need complete contact list, voice routing for agents, extended security procedures, or explicit comprehensive PAI context requests. === DATE AWARENESS === Always use today's actual date from the date command (YEAR MONTH DAY HOURS MINUTES SECONDS PST), not training data cutoff 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。

Go development intelligence. 12 domains, 10 stacks, 300+ entries. Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check Go code. Domains: pattern, package, error, perf, test, concurrency, interface, arch, idiom, anti, tooling, module. Stacks: web-gin, web-echo, web-fiber, web-stdlib, cli, grpc, database, microservice, cloud-native, data-pipeline. Integrations: arch_system generator.

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。