'persistent' 검색 결과

Retrieve earlier decisions, preferences, and saved resources from OpenViking across sessions. Store durable information, import documents or repositories, and manage deletion, with guidance on how project memory is shared between directories and repository clones.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recall decisions from earlier sessions
• Save preferences and lasting decisions
• Import files, URLs, or Git repositories for later use

Build and modify Java plugins for Minecraft servers running Paper, Spigot, or Bukkit. The skill covers commands, event handling, minigames, and saved player progress, with checks for configuration, task cleanup, and server API compatibility.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add server commands and event listeners
• Implement team battles and arena minigames
• Build quests, perks, and saved player progression

Turn documents into a growing Markdown wiki and a knowledge graph, a map of entities and their relationships. Preserve source text, update linked pages as new material arrives, and answer questions with supporting evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a reusable knowledge base from documents
• Trace relationships between terms and topics
• Answer questions with source evidence

Build systems that use Pinecone to find documents for AI answers or retain agent memories across sessions. Guides index setup, data loading, meaning-based and keyword search, memory separation, and end-to-end checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an AI assistant that answers from documents
• Keep agent facts and decisions across sessions
• Combine meaning-based search with exact terminology

Review every project in a .NET solution for Oracle dependencies, classify its migration status, and create a saved PostgreSQL migration plan with a project inventory and an order that prioritizes shared libraries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an Oracle-to-PostgreSQL migration across multiple projects
• Identifying Oracle dependencies in a .NET solution
• Deciding migration order based on project dependencies

Build a lasting Markdown knowledge base for project decisions, architecture, and session discoveries. Search pages by keywords and tags, use results to answer with citations, and check for outdated content, broken links, and structural problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preserving project decisions across sessions
• Finding past debugging discoveries
• Checking knowledge pages for broken links and stale content

Set up an agent that replies in Slack or Microsoft Teams using CopilotKit's guided CLI workflow. It covers project preparation, agent creation, channel configuration, a persistent host process, and verification with a real message.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a first agent that replies in Slack
• Connecting an agent to Microsoft Teams
• Checking channel setup through a real reply

Implement and customize managed CopilotKit Channels so agents can reply in Slack or Microsoft Teams. It covers channel handlers, persistent runtime connections, Teams setup, and checks for silent failures such as missing permissions or incompatible package versions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Customizing mention and reaction handlers
• Adding a managed Channel to an existing project
• Setting up a Microsoft Teams connection

Monitor selected GitHub Actions checks on an SGLang pull request until they pass on its latest commit. Diagnose failures, push small validated fixes, and retry only failed jobs within defined limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Monitor selected PR checks until they pass
• Separate code failures from infrastructure problems
• Apply small fixes and track the resulting checks

Turn academic papers and research reports into investment signals and trading strategies. Coordinate existing tools to extract formulas, implement rules, test them on historical data, store results, and monitor whether their effectiveness declines over time.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract investment signals from a research paper
• Implement and test trading rules on historical data
• Evaluate and store research results

Build detection rules for suspicious Windows scheduled tasks by correlating Sysmon and Windows Security logs. Examine parent processes, file paths, encoded commands, and remote task creation to uncover persistent access and movement between systems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspicious scheduled task creation
• Hunting for tasks that run encoded commands
• Detecting remote task creation across systems

Build detections for fileless attacks on Windows using process activity, script logs, and endpoint monitoring. Investigate suspicious PowerShell, code injected into running processes, WMI persistence, and registry-based execution with logging guidance and detection query examples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building detections for suspicious PowerShell activity
• Hunting for code injection into running processes
• Monitoring WMI persistence and registry-based execution

Investigate Active Directory authentication logs with Splunk and KQL queries to find signs of Golden Ticket attacks, which use forged Kerberos authentication tickets. Examine encryption mismatches, missing ticket requests, unusual lifetimes, and account inconsistencies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Hunting for forged tickets after credential theft
• Investigating encryption mismatches in authentication logs
• Checking for persistent access after incident response

Investigate suspicious email forwarding and hidden inbox rules that may expose messages after an account compromise. The skill guides log analysis, validation, and reporting, helping analysts document evidence, assess risk, and recommend response actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating external forwarding after an account compromise
• Checking rules that delete security alerts
• Hunting for rules that forward executive emails

Investigate attacks that make legitimate Windows applications load malicious DLL files. This skill examines loading events, digital signatures, file hashes, and unusual locations, then checks process behavior to document suspicious cases and guide remediation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating alerts about unsigned DLL files
• Hunting for persistent threats using legitimate applications
• Checking suspicious DLL loading paths

Map threat groups and their attack techniques to MITRE ATT&CK, a catalog of adversary behavior. Generate Navigator visualization files, compare groups, and overlay detection coverage to identify gaps that can guide defensive planning.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Profiling the attack techniques used by a specific threat group
• Comparing techniques across multiple threat groups
• Finding detection gaps against a target adversary

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Keep project decisions, debugging notes, and session discoveries in a lasting Markdown wiki. Organize pages with tags and categories, connect related notes with links, and retrieve information through keyword searches.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording architecture decisions and their context
• Finding notes from earlier debugging sessions
• Saving discoveries at the end of a session

This retirement notice directs users from the removed `$ralph` command to `$ultragoal`. It explains how the replacement's single-goal workflow covers persistent progress tracking, implementation, verification evidence, and resuming work previously handled by Ralph.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Update instructions that still reference $ralph
• Find the replacement for the retired workflow
• Check how the successor tracks and resumes work

Explains how to replace the removed $pipeline command with $plan for planning and $team for coordinated parallel work. This retirement notice provides migration guidance rather than an executable workflow of its own.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Updating instructions that still reference $pipeline
• Choosing separate commands for planning and parallel execution
• Finding the command for persistent goal runs

Audit a site's SEO, plan related topic groups and internal links, and create page briefs and article drafts with metadata and structured data. Save findings and deliverables locally so later sessions can continue from previous work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Audit technical SEO issues across key site pages
• Plan topic groups and internal links
• Create page briefs and SEO article drafts

Run machine learning workloads on Modal's cloud GPUs without managing servers. Guides Python configuration for training, inference, batch processing, and API deployment, including automatic scaling, persistent storage, scheduled jobs, and troubleshooting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running GPU inference without managing servers
• Deploying a model as an automatically scaling API
• Processing large batches in parallel

Build and operate AutoGPT agents that carry out multi-step workflows. Covers a visual editor for connecting processing blocks, scheduled and webhook triggers, deployment, execution monitoring, and benchmarks for evaluating agent performance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an AI workflow in a visual editor
• Run agents on a schedule or external event
• Add custom agent abilities with Forge

Design memory systems that help AI assistants retain conversation information and retrieve it when relevant. Explore short-term, long-term, and entity memory, along with memory consolidation, prompt integration, storage lifecycle management, and separation between users.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing an assistant that remembers across conversations
• Storing and updating facts about people or other entities
• Adding relevant memories to prompts