'capability' 검색 결과

Discover what a paired phone or wearable currently supports, then run the requested device, app, camera, media, or smart-home action. Check each device's published capabilities and permissions, and report the actual outcome or any execution errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check which actions a paired device supports
• Run supported device controls or app actions
• Use available camera or media actions

Create a new native Muse plugin package with its manifest and requested capability files, then validate it using the installed muse CLI. Receive a file inventory, validation results, and an installation proposal for later use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Package skills as a new Muse plugin
• Create a Muse plugin with command templates
• Define hooks or MCP server connections

Add interactive features to published Artifact pages using supported runtime capabilities, features granted by the viewer environment. Build saved checklists, shared data views, connector integrations, Claude-powered interactions, and file uploads or downloads with permission-aware behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build polls and checklists that save changes
• Create task boards with shared data
• Display connected data on an Artifact page

Plan game development workflows by matching engines, art and audio tools, automated playtests, packaging, publishing, and analytics to available tools and credentials. Compare options by cost, quality requirements, and offline availability.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a small Godot game for a game jam
• Combine AI-generated art with a simple game loop
• Choose tools for automated agent playtesting

Plan image and graphic design workflows by matching tasks to available tools, from AI generation and photo editing to logos, interface mockups, diagrams, and publishing. Compare requirements, costs, and offline options before combining providers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate and compose social sharing images
• Create logos and export size variants
• Draft interface wireframes and user flows

Reviews Cherry Studio code and documentation against product decisions, architecture rules, implementation checks, and conventions. It selects a review approach based on scope and available agents, then reports findings with guidance for fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing local changes or a branch
• Checking a pull request before merging
• Reviewing architecture documents and project skills

Inspect an agent’s current model, processing limits, workspace, tools, and message routing details. Diagnose unavailable capabilities, adjust permitted runtime settings, or keep temporary session notes, with advance notice before changes that affect the model or limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnose why a capability is unavailable
• Check capacity before a large task
• Adjust allowed model presets or iteration limits

Compare AAS skills against a project's capabilities, then record the chosen combination as a validated stack manifest. Inspect the result, identify catalog gaps, and optionally export evidence documenting the selection process.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a project-level AAS stack for Codex
• Compare candidate skills for each project capability
• Document selected skills and catalog gaps

Connect an AI agent to over 100 cryptocurrency exchanges and prediction markets through a local MCP server. Fetch prices, order books and account balances, or place and cancel orders when trading is explicitly enabled.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare prices and order books across exchanges
• Check account balances, orders and positions
• Try placing and canceling orders on a testnet

Add a new exchange integration to CCXT using TypeScript and established exchange templates. Follow guidance for unified methods, data conversion, authentication, sandbox settings, recorded API test data, documentation, and checks across generated language implementations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add an exchange that CCXT does not yet support
• Convert exchange responses into CCXT's common data format
• Record real API responses for regression tests

Trace SSH keys, tokens, and other credentials in Linux CTF environments. Connect each recovered artifact to the service that accepts it, then document the resulting privileges or movement to another host.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trace where recovered SSH keys and tokens are accepted
• Document privilege gains through sockets or sudo
• Explain movement between Linux challenge hosts

Examine container isolation in a CTF sandbox, a controlled security challenge environment. The skill checks kernel and runtime conditions, verifies whether an exploit crosses into host context, and preserves a minimal reproducible chain with evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review container isolation settings in a CTF environment
• Check kernel exploit prerequisites
• Verify whether a trigger crosses the container boundary

Evaluate whether a fine-tuned model is ready for release by checking training data, general capability loss, comparisons with the base model, and staged production rollout. Produces an evidence-based promotion or rejection report with one prioritized remedy when rejected.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deciding whether to release a fine-tuned model
• Checking whether training reduced general capabilities
• Reassessing a model against updated reference evaluations

Choose a model training method and configuration from paired response preferences or individual positive and negative ratings. Covers DPO, ORPO, KTO, and SimPO, including pair construction, repeated training rounds, and troubleshooting learning settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a training method for paired response preferences
• Select a method for individual positive and negative ratings
• Review learning settings when DPO training loses general capability

Finds a local MCP server, a connector that adds tools to an agent, when existing tools or simple code cannot handle a task. It selects packages requiring no environment variables and starts them after approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding a missing database or protocol client
• Adding a converter unavailable in current tools
• Starting a local MCP server without API key setup

Convert Simplicité text logs into structured JSON while keeping only the fields needed for troubleshooting. Preserve multiline errors and stack traces, and reduce the amount of log content passed to an AI agent for analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing large logs for AI analysis
• Extracting timestamps, severity levels, and messages
• Preserving multiline errors during conversion

Finds and retrieves paid financial datasets when free sources lack coverage or detail. Guides comparison of providers, success rates, prices, and required inputs, while keeping execution costs and remaining credits visible.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding financial data missing from free sources
• Comparing paid providers by cost and success rate
• Checking parameters before a paid data request

Evaluate threat intelligence platforms, which collect and organize cyber threat information. Define requirements, compare integrations and operating costs, plan practical trials, and use weighted scoring to select a platform and outline its rollout.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing requirements for TIP procurement
• Comparing platforms before a TIP migration
• Checking whether an existing TIP meets team needs

Create and tune Falco rules to detect possible container escapes, where a container gains access to its host. Define detection conditions, alert priorities, and output fields, then refine exceptions to reduce false positives.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing rules for suspicious host filesystem access
• Investigating noisy container escape alerts
• Reusing detection conditions through macros and lists

Analyze DNS logs to find signs of hidden data transfers. Use query length, character randomness, traffic volume, and response sizes to identify suspicious domains and support monitoring rules with Python, Suricata, and Splunk examples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating possible data theft through DNS traffic
• Ranking suspicious domains found in DNS logs
• Creating DNS tunneling detection rules

Identify runtime signs of attackers breaking out of Docker or Kubernetes containers. Review namespace changes, privilege abuse, sensitive host access, and unusual system calls to guide incident investigations and compare monitoring coverage across security tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a suspected Docker or Kubernetes container escape
• Choosing runtime behaviors to monitor for escape attempts
• Comparing escape detection coverage across security sensors

Compress large language models to 4-bit weights to reduce GPU memory use and accelerate inference. Covers loading compressed models, configuring quantization, and using Transformers or vLLM, with guidance on hardware requirements and backend choices.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running large models with limited GPU memory
• Compressing a model with domain-specific sample text
• Serving AWQ models with vLLM

Combine capabilities from multiple fine-tuned LLMs without retraining using mergekit. Choose a merging method, configure how models are blended, and evaluate the resulting model on tasks such as math, code generation, and conversation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combining math, coding, and conversation capabilities
• Blending two models at different ratios
• Comparing variants made with different merging methods

Design tests that assess an AI agent's capabilities and reliability. Covers repeated runs to measure variation, checks for required behavior, and adversarial testing to expose failures that ordinary successful examples may miss.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Measuring variation across repeated runs of the same test
• Checking whether an agent follows required behavior
• Testing responses to unexpected or adversarial inputs