2,519 件 ・ 関連度順
概要と使いどころ
Run structured prompt-injection attack and defense experiments against an LLM-integrated app before production by measuring attack success and testing detection or recovery pipelines.
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。
Run a real-task benchmark suite against OpenClaw agents so model or harness changes can be compared before they hit production workflows.
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。
Run realistic enterprise-style IT scenarios before trusting an automation agent in production 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。
Use DeepAgents to build long-running task agents with a batteries-included harness for planning, tools, and workflow structure.
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。
Uses Lynis to run an on-host security audit and turn the findings into a prioritized hardening checklist for an agent or operator. Invoke it when a machine is about to become internet-facing, after base image changes, or whenever you need a quick read on hardening drift instead of a generic vulnerability scan.
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 Cloudsplaining when an agent needs to flag privilege-escalation paths and overbroad IAM permissions before an AWS policy change reaches production.
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。
Validates Ansible playbooks in check mode using ansible-playbook --check --diff and the Ansible Python API. Detects idempotency issues, undefined variables, and unreachable hosts before production runs.
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。
Amplication is an open source developer platform for generating production-ready backend services and scaffolding from a visual workflow. This skill fits agents that need to help with service generation, codebase setup, schema-driven backend work, or self-hosted Amplication 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。
Agno is a high-performance Python framework for building, running, and managing agentic software at scale. It provides a three-layer architecture — framework, runtime, and control plane — enabling developers to go from agent prototype to production API in roughly 20 lines of code.
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。
Expert VSL (Video Sales Letter) and product marketing video storyboard writer. Use when creating sales videos, product demos, explainer videos, social media video content, or marketing video scripts. Use when asked to "write a video script", "create a VSL", "storyboard a sales video", or "script a product demo". Produces storyboard scripts optimized for handoff to motion designer and Remotion video production.
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。
Master orchestrator that chains all Remotion video creation skills together in a single automated pipeline. Takes a creative brief and produces a complete, production-ready Remotion video project. Use when starting a new video from scratch, when asked to "create a video", "make a video", "build a complete video", or "video from idea to code".
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。
Expert logging guidance based on Boris Tane's loggingsucks.com philosophy. Use when implementing logging, adding observability, debugging production issues, or reviewing code that includes log statements. Covers wide events architecture, structured logging, smart sampling, and high-cardinality field design.
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。
Bridges asset requirements from motion design specs to production-ready assets. Parses specs for required assets, recommends free/paid sources, provides format conversion guidance, generates validated import code, and offers asset preparation checklists. Use when preparing assets for Remotion projects or when asked "where to get assets", "how to prepare assets", "asset formats for Remotion".
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 starting a new project. Genesis finds real production failures from similar GitHub repos, then builds a working MVP immediately - not just documents. Two modes: fast-mvp (5 min research cap, builds right after) and deep-research (full analysis). Success = user can run the project. Triggers on: "genesis init [vision]", "I want to build X", "scaffold", "new project", "set up project", "start building", "create a tool", "make a CLI", "bootstrap", "בנה פרויקט", "צור פרויקט", "התחל פרויקט".
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。
Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
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。
Create distinctive, production-grade frontend interfaces with high design quality that avoids generic AI aesthetics. Use when the task involves `build web components`, `create frontend interface`, `build web page`, `build web application`, `frontend design`, `create UI component`, or `design web interface`.
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。
Converts a Stitch screen, a local HTML file, or a URL into production-ready Next.js 15 App Router components — Server vs Client split, dark mode via CSS variables, TypeScript strict, ARIA, and responsive mobile-first layout. Only the Stitch route needs an API key.
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。
Extracts a Stitch design and generates production code artifacts — CSS custom properties with dark mode tokens, a Tailwind v4 @theme block, and a semantic design system document. Run this before framework conversion skills.
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 custom AI agents in Claude Code from a user's problem statement. This skill analyzes the user's use case, asks smart clarifying questions, researches the internet for similar agents (GitHub repos, blogs, Claude Code community patterns), and then architects and builds production-ready Claude Code agents — including subagents, skills, hooks, slash commands, MCP integrations, and CLAUDE.md configuration. Use this skill whenever the user wants to create an agent, build an automation workflow, set up a Claude Code subagent, design a multi-agent system, or says things like 'build me an agent for...', 'automate this with Claude Code', 'I want a subagent that...', 'help me create a workflow', 'set up an agent pipeline', or any variation of wanting Claude Code to do something specialized. Also trigger when the user mentions agent architecture, agent SDK, agentic workflows, or task delegation in Claude Code — even if they don't use the word 'agent' explicitly.
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。
Builds depletion models with production decline, reserve replacement economics, and terminal value analysis for finite-life assets. Use when modeling depletion, analyzing resource longevity, or evaluating reserve life 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。
Organizes virtual data room structure with document indexing, access permissions, activity tracking, and Q&A management. Use when setting up VDRs, managing document production, or tracking buyer diligence 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。
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 renewable energy project economics with PPA structures, merchant tail risk, and production profile analysis. Use when analyzing wind/solar projects, evaluating PPA terms, or modeling renewable energy cash flows.
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。
AI-assisted debugging specialist with deep knowledge of modern debugging tools, observability platforms, and automated root cause analysis. Implements Cursor Debug Mode methodology — structured hypothesis ranking, targeted code instrumentation, human-in-the-loop reproduction gate, log-confirmed root cause, and mandatory 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。