1万 件 ・ 関連度順
概要と使いどころ
Use for the frontend phase after the API contract exists — deciding the screens as units of work (one job a person finishes in one go, per actor of the event timeline), collecting the views and commands each screen needs, keeping the screen map in frontend/README.md, building against the Lean CLI, then handing over to frontend-ux-review and the human screen check. Not for the spec-animation mockup (domain-mockup).
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 this when you need Chrome MV3-shaped APIs — bookmarks, tabs, windows, history, downloads, or top sites — in standalone OmOWright.
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 the network instead of the DOM. Snoop JSON API responses, wait for a request instead of sleeping, collect items while scrolling, record a QA flight trace (jsonl, HAR, screenshots), and intercept requests with routes.
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。
Fetch Airbnb income estimate (ADR, occupancy, monthly revenue) for any area using the official Airbnb GraphQL API — the same data the Airbnb host simulator shows. Input: station/area name. Output: per-night rate, avg nights, monthly estimate for entire_home and private_room.
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。
Execute model inference on GPU cloud providers. Handles code generation, deployment, execution, and result collection across HF Inference API/Endpoints, Colab, Modal, beam.cloud, Vast.ai, and RunPod. Use when running models on GPU, deploying to cloud, executing notebooks, or troubleshooting GPU execution failures. Triggers on "run on GPU", "execute model", "deploy to modal", "colab notebook", "beam deploy", "HF inference", "HF endpoints", "vast", "runpod".
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。
Structured competitor teardown skill. Use when scraping competitor sites, extracting pricing/features/positioning, or analyzing strategic gaps. For general research, see market-research.
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。
Deep web research skill using Firecrawl MCP. Use when estimating market size (TAM/SAM/SOM), analyzing trends, or scraping competitors. For competitor teardowns, see competitor-analysis.
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。
Multi-timeframe crypto technical analysis with scored trading signals, structured trade plans, and position sizing via Binance public API. Use when user asks to "analyze BTC", "what's the signal on ETH/USDT", "crypto analysis", "trade setup for SOL", "scan crypto pairs", "check the trend on BTC", "multi-timeframe analysis", "generate a trading signal", "what's the bias on ETH", "TA on BTC/USDT", "is it a good time to buy BTC", or "position size for a crypto trade".
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。
Busabase App-in-Skill review queue that scores candidate SME financing deals (revenue-based/RBF-style credit) with a deterministic, fully auditable rule-based rubric — never an LLM or API call. Use when the user invokes $kelly-deal-scorer or /kelly-deal-scorer, wants to review a deal-underwriting queue, score financing candidates, compute a composite score breakdown, see a suggested revenue-share rate range, or record approve/send-back/reject decisions for a private-credit or RBF-style lending pipeline.
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, analyze, repair, and audit finance three-statement models and operating forecasts. Use when the user invokes $kelly-finance, asks for 财务三表, 三表模型, income statement, balance sheet, cash flow statement, forecast model, budget model, financial projections, FP&A model, SaaS/unit economics forecast, fundraising model, board finance pack, investor model, model checks, balance-sheet balancing, cash runway, working capital, capex/depreciation schedules, debt schedules, scenario/sensitivity cases, or Excel/Sheets-ready finance outputs.
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。
Execute a single deterministic Python script to compute all derived financial metrics (EBITA, Invested Capital, Tax Rates, Summary Table) from extracted financial data.
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 pipeline step fails, an error occurs, schema validation fails, ffmpeg crashes, or API returns an error. Diagnose the root cause and attempt automatic recovery.
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 GoClaw AI agent gateway servers from Claude Code. Use this skill when the user mentions "goclaw", "gateway server", "AI agent platform", or wants to execute shell commands remotely on a server, manage AI agents, approve agent actions, inspect chat sessions, or administer multi-tenant AI infrastructure. Wraps the `goclaw` CLI to call REST + WebSocket APIs of GoClaw Gateway.
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 the user asks about speakers, talks, schedules, or CFP dates for any Devoxx or VoxxedDays conference. Covers: speaker bios/socials, talk topics/tracks/levels, daily program or room agenda, most popular talks, upcoming or past events, and CFP open/close dates. Queries the public CFP API at [event-slug].cfp.dev and the devoxxians.com event registry. Example triggers: who speaks about Kubernetes at Devoxx UK, what is on Wednesday in Room 8, find AI talks at Voxxed Zurich, when does the CFP open for Devoxx Belgium.
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。
当拿到一段 AI 回答、准备直接复制去用之前使用。把回答拆成可检验的声明（链接、库名与版本、论文 DOI、命令行参数、API 名、数字、引文），按"用错了会炸多大"排序，为每条配一条最直接的核验路径；产出声明台账、核验计划和"现在可以用 / 必须先核实"两栏。专门防住引用了不存在的库、论文或命令这种直接复制就会出事的情况；包名存在不等于可信（幻觉出的名字可能已被人抢注），DOI 能解析也要标题对得上。不替使用者背书，核不了就写核不了。与 ai-answer-triage 的区别：那边只分级、定先查哪几条，这里逐条给核验路径；要判断一整段 AI 代码能不能跑，用 ai-code-onboarding-checklist。
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。
Detect compromised O365 and Google Workspace email accounts by analyzing inbox rule creation, suspicious sign-in locations, mail forwarding rules, and unusual API access patterns via Microsoft Graph and audit logs.
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。
Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis to identify injection artifacts. Activates for requests involving process injection detection, code injection analysis, hollowed process investigation, or in-memory threat detection.
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。
Detects and prevents code injection attacks targeting serverless functions (AWS Lambda, Azure Functions, Google Cloud Functions) through event source poisoning, malicious layer injection, runtime command execution, and IAM privilege escalation via function modification. The analyst combines static analysis of function code, CloudTrail event correlation, runtime behavior monitoring, and IAM policy auditing to identify injection vectors across the expanded serverless attack surface including API Gateway, S3, SQS, DynamoDB Streams, and CloudWatch event triggers. Activates for requests involving Lambda security assessment, serverless injection detection, function event poisoning analysis, or serverless privilege escalation investigation.
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。
Detect OAuth access token theft and misuse by analyzing sign-in logs for impossible travel, new device patterns, token replay from unusual IPs, and anomalous scope requests via Microsoft Graph and Okta APIs.
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。
Detect unusual API call patterns in AWS CloudTrail logs using boto3, statistical baselining, and behavioral analysis to identify credential compromise, privilege escalation, and unauthorized resource access.
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。
Detecting compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible travel patterns, unauthorized resource provisioning, and credential abuse indicators using GuardDuty, Defender for Identity, and SCC Event Threat Detection.
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。
Discovering and accessing unprotected pages, APIs, and administrative interfaces by enumerating URLs and bypassing authentication controls during authorized security assessments.
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。
Conducts penetration testing of iOS and Android mobile applications following the OWASP Mobile Application Security Testing Guide (MASTG) to identify vulnerabilities in data storage, network communication, authentication, cryptography, and platform-specific security controls. The tester performs static analysis of application binaries, dynamic analysis at runtime, and API security testing to evaluate the complete mobile attack surface. Activates for requests involving mobile app pentest, iOS security assessment, Android security testing, or OWASP MASTG assessment.
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。
Configures pfSense firewall rules, NAT policies, VPN tunnels, and traffic shaping to enforce network segmentation, control traffic flow, and protect internal network zones in enterprise and small-to-medium business environments.
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。