「based」の検索結果

File-based workflow coordinator for Greek accounting. Defines processing pipelines, validation rules, and routine templates. No external APIs needed.

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。

Real-time monitoring of Greek AADE tax authority systems — tracks deadlines, rate changes, and compliance updates. File-based, OpenClaw-native.

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。

A-share short-term trading decision skill for 1-5 day horizon. Use when you need real-data market sentiment, sector rotation, strong stock scanning, capital flow confirmation, date-based short-term signal scoring, prediction logging, and next-day market comparison for CN A-share momentum trading.

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。

Productivity system based on Maya calendar with 13 natural tones for project management and personal development

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。

Guide for writing idiomatic Rust code based on Apollo GraphQL's best practices handbook. Use this skill when: (1) writing new Rust code or functions, (2) reviewing or refactoring existing Rust code, (3) deciding between borrowing vs cloning or ownership patterns, (4) implementing error handling with Result types, (5) optimizing Rust code for performance, (6) writing tests or documentation for Rust projects.

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。

A scoring scale for evaluating how well a CLI is designed for AI agents, based on the "Rewrite Your CLI for AI Agents" principles.

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。

Compare two local documents and convert differences into LLM-ready Markdown in one synchronous call. Supports PDF, Word, PPT, and image documents accepted by Calliper, and returns a structured markdown diff table suitable for change review, clause comparison, downstream extraction, and rule-based 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。

Use when writing, reviewing, or deploying Solidity smart contracts — token contracts, signature-gated claim systems, merkle-gated staking vaults, allocation modules, role-based proxies, or factory patterns. Triggers on edits to `*.sol` files, `hardhat.config.*`, `foundry.toml`, deploy scripts, or mentions of "smart contract", "Solidity", "Web3", "EVM", "Hardhat", "Foundry", "ERC20/721/1155", "merkle", "staking", or "on-chain". For security audits and adversarial review see security-engineering.

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 building games or interactive software in Godot 4 with C# — designing scenes and nodes, writing gameplay code, handling input, physics, animation, UI, rendering, save systems, performance work, WebSocket-based multiplayer, or exporting to platforms. Triggers on "Godot", "GDScript", "C# Godot", "scene tree", Godot node types (Node2D, Node3D, Control, CharacterBody), "_Process", "_PhysicsProcess", "signal", "autoload", "RPC", "WebSocketMultiplayerPeer", "shader", "export preset", or any Godot 4 project files. For game design see game-systems-designer; for balance see game-balancer; for game-specific intake see game-design-shaper.

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。

Appwrite TypeScript SDK skill. Use when building browser-based JavaScript/TypeScript apps, React Native mobile apps, or server-side Node.js/Deno backends with Appwrite. Covers client-side auth (email, OAuth, anonymous), database queries, file uploads, real-time subscriptions, and server-side admin via API keys for user management, database administration, storage, and functions.

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。

Appwrite CLI skill. Use when managing Appwrite projects from the command line. Covers installation, login, project initialization, multi-file project configuration, deploying functions/sites/tables/buckets/teams/webhooks/topics, flag-based list queries, non-interactive CI/CD mode, and generating type-safe SDKs.

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。

Launch Marcus multi-agent experiments with independent Claude agents in tmux panes. Use when the user says "build X with Marcus", "run a Marcus experiment", "spawn N agents with Marcus", "/marcus", or references the Marcus multi-agent framework. This skill handles experiment setup, config generation, and spawning independent Claude CLI agents that coordinate via the Marcus MCP server. Each agent runs in its own tmux pane with full autonomy. NOT for ClawTeam — this is specifically for the Marcus MCP-based multi-agent system. NOTE: "Marcus" is also the name of the MCP server that agents use for coordination. The /marcus skill launches experiments that USE the Marcus MCP server — they are complementary, not competing. The MCP server must be running before invoking this skill.

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。

Launch Marcus multi-agent experiments with independent CLI agents in tmux panes. Use when the user says "build X with Marcus", "run a Marcus experiment", "spawn N agents with Marcus", "/marcus", or references the Marcus multi-agent framework. This skill handles experiment setup, config generation, and spawning independent agent CLI processes that coordinate via the Marcus MCP server. Each agent runs in its own tmux pane with full autonomy. NOT for ClawTeam — this is specifically for the Marcus MCP-based multi-agent system. NOTE: "Marcus" is also the name of the MCP server that agents use for coordination. The /marcus skill launches experiments that USE the Marcus MCP server — they are complementary, not competing. The MCP server must be running before invoking this skill. The Marcus MCP server is agent-agnostic; this skill supports both Anthropic's claude CLI and OpenAI's codex CLI as agent harnesses (selected via --harness).

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。

Launch Marcus multi-agent experiments with independent CLI agents in tmux panes. Use when the user says "build X with Marcus", "run a Marcus experiment", "spawn N agents with Marcus", "/marcus", or references the Marcus multi-agent framework. This skill handles experiment setup, config generation, and spawning independent agent CLI processes that coordinate via the Marcus MCP server. Each agent runs in its own tmux pane with full autonomy. NOT for ClawTeam — this is specifically for the Marcus MCP-based multi-agent system. NOTE: "Marcus" is also the name of the MCP server that agents use for coordination. The /marcus skill launches experiments that USE the Marcus MCP server — they are complementary, not competing. The MCP server must be running before invoking this skill. The Marcus MCP server is agent-agnostic; this skill supports Anthropic's claude CLI, OpenAI's codex CLI, and Google's gemini CLI as agent harnesses (selected via --harness).

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。

以固定的九节结构生成美国司法意见书的详细法学院案件简报：记忆钩子、事实、程序历史、 法官投票、判决要旨、逐意见分析、五个未来适用假设情形、评论和已核实的关键引文。 还构建投票表、跨案件一致性表、基于视角的评论，以及 article、Beamer 和案例教科书章节格式的 LaTeX。 当有人要求简报案件、分析或解释意见、为学生总结决定、从判决要旨生成假设情形、 评论判决、制表法官投票方式，或将案件分析转换为 LaTeX 时使用。触发词包括 "brief this case"、"case brief"、"explain the holding"、"what did the court hold"、 "hypotheticals based on"、"critique this opinion"、"vote table"、"Beamer presentation"、 "chapter brief"，以及在教学情境中对司法意见或最高法院决定的任何引用。 需要网络搜索来核实引文、投票和判决要旨。

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。

Drafts an Appellee's Response Brief defending the trial court's judgment and arguing for affirmance. Covers standard of review analysis, record-based rebuttal, authority distinction, and procedural compliance. Trigger when drafting appellee briefs, response briefs, answering briefs, or defending trial court judgments on appeal.

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。

Triage a bug or issue by exploring the codebase to find root cause, then create a GitHub issue with a TDD-based fix plan. Use when user reports a bug, wants to file an issue, mentions "triage", or wants to investigate and plan a fix for a problem.

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。

Develop interactive PaperJS applications for visual drawing, animation, and vector graphics. Create canvas-based experiences with JavaScript and PaperJS framework.

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。

Suggest better variable, function, and class names based on context and conventions.

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。

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer

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。

Triage GitHub issues through a label-based state machine. Use when user wants to create an issue, triage issues, review incoming bugs or feature requests, prepare issues for an AFK agent, or manage issue workflow.

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。

Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory

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。

Select and implement the right Azure compute platform for a workload. Decision tree guides choice based on workload characteristics, scaling needs, and operational maturity. Covers serverless, PaaS, containers, Kubernetes, and IaaS patterns.

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。

Implement signal-based reactive state management in Angular v20+. Use for creating reactive state with signal(), derived state with computed(), dependent state with linkedSignal(), and side effects with effect(). Triggers on state management questions, converting from BehaviorSubject/Observable patterns to signals, or implementing reactive data 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。