'capabilities' 검색 결과

Set up and manage AlloyDB for PostgreSQL clusters, instances, and backups. Includes guidance for MCP integration, a way for agents to operate databases, plus references for application connections, Terraform, authentication, and AI search capabilities.

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• Create an AlloyDB cluster and primary instance
• Manage AlloyDB backups
• Automate database operations through MCP

Guide a newly connected user through an agent's capabilities with a brief greeting and gradual introduction. The skill adapts to whether they want a tour or immediate help, while explaining natural conversation, approvals, and access control.

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• Greeting users when a channel is first connected
• Introducing capabilities one at a time
• Explaining approvals and access control

Build and review Kubernetes Operators, controllers that keep custom resources in their desired state. Included tools check resource definitions and Go reconciliation code, then assess operational capabilities and suggest improvements.

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• Designing custom resource definitions for a new Operator
• Reviewing Go reconciliation code for common mistakes
• Assessing Operator capabilities and planning improvements

Connects supported AI clients, including Claude Code and Codex, to OpenWork through MCP, a protocol for accessing external tools. It guides account sign-in and verifies that tools for finding and running organization capabilities are available.

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• Connecting an AI client to OpenWork organization resources
• Signing in and verifying available MCP tools
• Switching organizations or troubleshooting authentication

Find and manage agent skills in the Gemini Enterprise Agent Platform Skill Registry, a catalog of available capabilities. The skill supports searching, uploading, updating, deleting, inspecting revision histories, checking operation status, and creating local starter files.

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• Search for skills that provide a needed capability
• Upload or update skills in the registry
• Inspect skill details and revision histories

Write SQL that uses BigQuery’s built-in machine learning and generative AI for forecasting, anomaly detection, identifying drivers of change, searching by meaning, and classifying or summarizing text stored in your data.

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• Forecasting future values from time-series data
• Detecting anomalies and investigating drivers of change
• Searching documents by meaning

Combine specialized language models without retraining using mergekit. The skill explains how to choose merging methods, configure each model’s contribution, compare resulting variants, and prepare a merged model for evaluation and deployment.

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• Combine math, coding, and conversation capabilities
• Compare model variants with different merge weights
• Choose a method for merging several models

Manage agents on a host by listing their capabilities, reading source code, and downloading or deploying agents in the smith namespace. Check available language model connections and their roles without exposing API keys.

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• Find available agents and check their capabilities
• Study existing agent source code
• Download and deploy smith agents for editing

Investigate how a limited Linux account could gain root, the system administrator's privileges. The skill guides checks of permissions, scheduled tasks, services, and known vulnerabilities, while outlining evidence defenders can monitor during authorized security assessments.

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• Assessing Linux privilege escalation paths
• Practicing privilege escalation in CTF challenges
• Reviewing sudo and scheduled task configurations

Build servers and clients for A2A, an open protocol that lets AI agents communicate across frameworks. Publish agent capabilities, exchange tasks and results, stream progress, and add notifications for workflows involving multiple agents.

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• Connect agents built with different frameworks
• Publish agent capabilities through an Agent Card
• Build a research, writing, and review workflow

Coordinate work across independent Squad installations by discovering their capabilities and delegating tasks across repositories. It guides context sharing, acceptance criteria, and progress tracking, while distinguishing persistent Squad teams from temporary groups of agents.

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• Finding another Squad with the capabilities a task requires
• Handing off work for features that span repositories
• Tracking delegated infrastructure or support requests

Inspect available APIs in Open-Science and find files, session status, and agent conversations within the current project. Check which host features are available before using them, and trace the inputs behind generated file versions.

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• Check which host APIs are available
• Find generated files and uploaded versions
• Inspect session status and conversation history

Configure Kode features by describing the changes you want. The skill inspects settings, adjusts status displays, response styles, and plugins, and verifies changes through settings checks and small practical operations.

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• Setting up or fixing the Kode status display
• Enabling TypeScript language support through plugins
• Changing the response style for a project

Compare models available through the HuggingFace router with chat-ui configuration, research missing models, and write short English descriptions of their architecture and capabilities. Add entries to both production and development configuration files and commit the changes.

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• Adding newly available router models to chat-ui
• Writing concise descriptions of model capabilities
• Updating production and development model entries together

Check which paid advertising integrations NotFair offers, connect ad accounts, and configure MCP connections for agent access. Verify available tools and whether a platform supports reading or changes, and investigate access problems.

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• Connecting an advertising account to NotFair
• Configuring an ads MCP connection
• Checking available tools and read or change capabilities

Discover the tools, workflows, specialist agents, and hooks available in a configured workspace. Interactive guidance and topic-specific commands help you choose relevant capabilities, inspect usage examples, and understand customization options.

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• Find workspace capabilities that match a task
• Browse development workflows and specialist agents
• Understand active hooks and their roles

Integrate WebMCP tools, app capabilities that AI agents can call, directly into an existing web application. Inspect its source code, preserve existing validation and permissions, and verify tool discovery, execution, and actual changes in application state.

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• Exposing existing app features to AI agents through WebMCP
• Reusing form validation and authorization in agent tools
• Checking tool discovery and execution with Stagehand

Use this skill when the user wants to invoke the read-only doca_caps CLI to ask what DOCA sees on this host — listing DOCA devices and PCIe addresses, listing representor devices, asking which DOCA libraries are available on the current OS, checking per-device per-library capabilities, scoping output to a specific PCIe address, or capturing a side-effect-free capability snapshot for debug or install smoke-test. Trigger even when the user does not explicitly mention "doca_caps" or "capabilities print tool" — typical implicit phrasings include "what does DOCA actually see on this box", "is my BlueField PF visible to DOCA", "is Flow available on my RHEL host", "enumerate VF representors for pf0", "doca_caps: command not found", or "empty output for RDMA, is the tool broken". Refuse and route elsewhere for DOCA installation (doca-setup owns it; never walk the steps), library-internal capability matrices (Flow pipe creation, RDMA verbs features), streaming telemetry / DTS, or modifying the shipped binary.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

LoongCollector E2E Testing Framework Development Guide. Use this rule when you need to understand E2E testing framework architecture, develop new test behavior functions, or extend testing capabilities. Contains detailed BDD testing framework usage, test behavior function development and registration workflows, and comprehensive reference of existing testing capabilities. Example: When adding custom test behaviors for new plugins, use this rule to understand how to write and register new test functions. Example: When developing E2E tests, use this rule to understand the e2e framework.

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Designing in-product tours, tooltips, and contextual help that teach product capabilities without becoming friction. Trigger logic, tour architecture, contextual placement, completion tracking. Honest about tooltip-spam (visual noise that users develop blindness to), one-and-done (help invisible at the moment of need), and contextual-when-needed (surfaces help at the moment friction occurs) patterns. Triggers on product tour, in-product tooltip, contextual help, walkthrough, feature tour, hint system, in-app guidance, tour platform. Also triggers when feature adoption is low, when users miss key product capabilities, or when an in-product help system is being scoped for the first time.

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Expert guidance on macOS platform capabilities. Covers sandboxing, app extensions, menu bar apps, and background execution. Use when implementing system integration features.

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Capify an existing project. Scans the repo for already-installed MCP servers, skills, rules, hooks, sub-agents, and plugins (across .claude, .cursor, .codex, .gemini, etc.), consolidates them into shared top-level directories (skills/, rules/, hooks/), and synthesizes a sound capabilities.yaml from the inventory. Use whenever the user says "bootstrap capa", "capify this project", "onboard capa onto an existing repo", "inventory my agent setup", or asks how to turn an ad-hoc Claude/Cursor/Codex configuration into a capabilities file. Use even when the user only mentions one provider — discovery should still sweep all of them.

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Phase 3 of the prd-taskmaster pipeline: smart mode selection and user handoff. Detects installed capabilities (superpowers, ralph-loop, task-master-ai, playwright, research providers), recommends ONE execution mode (A/B/C) with reasoned justification, appends the task-execution workflow to CLAUDE.md, surfaces a structured AskUserQuestion multi-option picker for user agency, and dispatches the chosen mode. Mode D (Atlas Fleet) is selectable only when detect_capabilities returns tier=premium (licensed atlas-launcher detected); otherwise it is a locked Atlas Pro teaser. Plan Mode is NOT used (spec section 13.5): AskUserQuestion is the sole user-agency mechanism. Declares HANDOFF complete so EXECUTE can follow.

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Display shinkoku's current capabilities, supported personas, and known limitations. Use when the user asks "what can you do?", "what's supported?", or similar questions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.