'stateful' 검색 결과

Create and edit QGIS map projects from the terminal. Add geographic features and attributes, arrange maps and labels in print layouts, export PDFs or images, and run QGIS algorithms for processing geographic data.

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• Creating a map project and adding points
• Adding geographic features and attributes
• Exporting labeled maps as PDFs or images

Manage JumpServer hosts, users, accounts, and access permissions through commands. Agents can inspect active connections and audit logs, preview changes before execution, and receive structured results for further processing.

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• Inventory hosts and inspect asset details
• Create users and configure asset access
• Review failed logins and operation logs

Create and edit text documents, spreadsheets, and presentations from the command line. Import existing Office or ODF files, update content and styles, and export documents, with JSON project files and undo and redo support.

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• Create a document with headings, lists, and tables
• Update spreadsheet cells and sheet names
• Add slides or revise their content

Build and edit audio projects through an Audacity command-line interface: arrange and trim clips, adjust tracks, configure effects, add labels, and render audio files while retaining project state and undo history.

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• Trim, split, and arrange audio clips
• Adjust track volume, pan, mute, and solo
• Configure effects and add timeline labels

Edit screen recordings from the command line with zoom effects, speed changes, cuts, cropping, and text annotations. Adjust backgrounds and framing, review rendered previews, and export the finished video as MP4 or GIF.

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• Create a demo video from a screen recording
• Zoom in on important steps
• Cut or speed up waiting time

Debug programs with LLDB while keeping session state across commands. Set breakpoints, inspect variables and memory, and examine core dumps, with JSON results for agents and a debug adapter interface for editor clients.

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• Inspect variables where a program stops
• Investigate a crash using a core dump
• Debug a running process

Create and edit diagrams with Mermaid, a text format for describing visual structures. Save projects, undo source changes, export SVG or PNG images, and generate links for viewing or editing in Mermaid Live Editor.

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• Create a flowchart to explain a process
• Diagram an interaction as a sequence diagram
• Export a diagram as SVG or PNG

Generate slides, documents, websites, and diagrams from natural language prompts through AnyGen OpenAPI. Manage reference uploads, check generation progress, and download finished files using commands with structured output for AI agents.

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• Generate slides or documents from written instructions
• Upload reference files for a generation task
• Check generation progress and download finished files

Analyze a custom protocol in a CTF sandbox and reproduce an accepted exchange. Recover message boundaries, checksums, and session state, then build a small replay program that preserves the required message order.

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• Recover message boundaries in an unknown protocol
• Reconstruct handshake steps and session state
• Build a replay program for a captured exchange

Run repeated change-and-evaluation cycles for one predefined improvement mission within an explicit runtime limit. Save each evaluation as JSON and each decision in readable Markdown logs, with support for periodic reruns through Claude Code native cron.

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• Repeating improvements under a fixed evaluation method
• Keeping evaluation results and decision logs
• Running experiments within a time limit

Run a persistent research workflow with a defined goal and explicit acceptance checks. It saves progress and finishes only when a recorded result passes either a validation script or an architect review of the research output.

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• Research with explicit acceptance criteria
• Verify research results with a script
• Require review approval before completing research

Build reusable parts for n8n workflows instead of copying shared logic. This skill guides typed inputs, consistent outputs, naming, and execution settings so workflows and AI agents can call the same processing steps.

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• Sharing common logic across workflows
• Splitting a large workflow into reusable parts
• Exposing shared processing as an AI agent tool

Build conversations and workflows with the Gemini Interactions API on Gemini Enterprise Agent Platform. Follow Python or JavaScript examples for server-stored conversation history, streaming responses, structured JSON output, function calls, and background agent tasks.

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• Building chats that retain conversation context
• Displaying responses as they stream
• Returning JSON in a specified format

Create and manage custom Agent resources on Gemini Enterprise Agent Platform before running conversations. Prepare REST requests to configure instructions, attach files and skills, connect tools, track creation progress, and retrieve, update, or delete agents.

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• Create an Agent with task-specific instructions
• Attach files and skills from Cloud Storage or Skill Registry
• Configure connections to external MCP tools

Plans, executes, and validates Google Kubernetes Engine upgrades for Standard and Autopilot clusters. Creates environment-specific upgrade plans, checklists, and command-based runbooks, with guidance on maintenance timing, node upgrade strategies, workload readiness, and stalled upgrades.

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• Planning a GKE version upgrade
• Choosing release channels and maintenance schedules
• Preparing node pool upgrades for databases or GPU workloads

Build and operate websites, internal tools, APIs, and databases on Kortix Apps using its CLI or SDK. Covers deployment, sign-in, scaling, persistent storage that survives updates, snapshots, and restoring earlier application releases.

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• Publish a static website or single-page app
• Build an internal CRM with team sign-in
• Create an API or database backend

Manage mathematical proof projects across Codex runs, keeping sources, attempts, and unresolved steps organized. Prepare manual GPT Pro handoffs for difficult steps, then check returned arguments and edit the proof for clarity.

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• Continue a proof from a previous run
• Prepare a manual GPT Pro handoff for a difficult lemma
• Track proof sources and unresolved steps

Manage mathematical proof work across separate runs, preserving sources, established results, and unresolved steps. Attempt and audit proofs locally, prepare focused manual GPT Pro handoffs when blocked, and check returned answers before producing a clearer final proof.

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• Continuing proof work from a previous run
• Preparing a focused GPT Pro handoff
• Checking a returned proof against local sources

Build dashboard panels with patterns for handling failed API requests. TypeScript examples cover retries, cached data, temporary pauses after repeated failures, loading and error displays, and saving panel size and expansion state in the browser.

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• Building dashboard panels that handle API failures
• Adding loading, error, and retry displays
• Preserving panel size and expansion state

Build and review Cloudflare Durable Objects for applications that retain shared state, such as chat rooms, games, and booking systems. Covers SQLite storage, remote method calls, WebSockets, scheduled work, Workers integration, configuration, and Vitest tests.

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• Build shared state for chat rooms, games, and bookings
• Implement remote methods, SQLite storage, WebSockets, and alarms
• Configure Workers bindings and migrations

Build AI agents on Cloudflare Workers with the Agents SDK. Implement persistent state, real-time chat, scheduled tasks, multi-step background workflows, and MCP servers, using current Cloudflare documentation to guide implementation.

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• Build agents that retain and synchronize state
• Create real-time chat with resumable streaming
• Implement scheduled tasks and multi-step workflows

Build and deploy AI agents on Cloudflare Workers using the Agents SDK. Supports persistent conversation state, live WebSocket connections, scheduled tasks, and tool integration, with guidance for connecting browser or React chat interfaces.

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• Build a chatbot that preserves conversation history
• Connect a live chat interface through WebSockets
• Schedule reminders and recurring background tasks

Build reusable parts for n8n workflows instead of copying shared logic. This skill guides typed inputs, consistent outputs, naming, and execution settings so workflows and AI agents can call the same processing steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sharing common logic across workflows
• Splitting a large workflow into reusable parts
• Exposing shared processing as an AI agent tool

Build AI agents that retain conversation history, user preferences, and useful interaction patterns with AgentDB. The skill covers persistent storage, meaning memories survive between sessions, plus retrieval, context management, and ReasoningBank integration.

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• Add conversation history to a chat system
• Remember user preferences across sessions
• Reuse patterns from successful interactions