'adapter' 검색 결과

claude-flow를 agentic-flow@alpha의 확장으로 재구성해 중복 구현을 줄입니다. 어댑터를 설계하고 기존 기능의 호환성을 확인하며 단계적으로 이전합니다.

• 에이전트·작업 관리의 중복 구현 정리
• 기존 API를 유지하는 어댑터 설계
• 학습·공유 메모리·MCP 도구 통합

Refactor claude-flow into an extension of agentic-flow@alpha to reduce duplicate implementations. Plan adapter layers, migrate agent and task management, and connect learning, shared memory, and tools while checking compatibility with existing functionality.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Consolidate duplicate agent and task management code
• Design an adapter that preserves existing APIs
• Integrate learning, shared memory, and MCP tools

Design custom laboratory parts as adjustable build123d models and export STEP, STL, and DXF fabrication files. Check mating dimensions against standards, test geometry, and visually review holders, mounts, microfluidic parts, and other research fixtures before fabrication.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing holders for microplates, cuvettes, and tubes
• Creating mounts and adapters for optical tables
• Modeling microfluidic chips and molds

Run diffusers generation pipelines from a terminal and save their outputs. Inspect accepted inputs without downloading model weights, apply LoRA adapters during generation, run remotely through HF Jobs, and inspect software and GPU environment details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running one-off generation or batch jobs from a terminal
• Checking a new model's basic operation
• Inspecting accepted inputs before running a pipeline

Connect cognee to additional databases and data sources through community packages. The skill covers installing and registering adapters, importing data through connectors, configuring monitoring, and developing extension packages with examples and tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connect cognee to Qdrant or another database
• Import data from Slack or Gmail
• Configure monitoring with Keywords AI

Investigate and fix agent behavior in TradingAgentsCN by checking active database prompt templates, prompt assembly code, and output processing. Apply targeted changes and verify them with focused tests, template checks, and workflow logs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating prompt changes that do not affect runtime behavior
• Synchronizing database templates with prompt assembly code
• Tracing incorrect dates or price references in position analysis

Connect NanoClaw to Matrix rooms and direct messages through Chat SDK. The skill installs and registers the adapter, applies a compatibility patch, configures bot credentials, and checks the build and channel registration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding Matrix rooms as a NanoClaw chat channel
• Setting up direct messages with a dedicated bot
• Configuring a bot for a chosen Matrix homeserver

Connect NanoClaw to a real phone number for SMS and AI voice calls through Dial. The skill installs the channel adapter, guides account sign-in and phone pairing, and configures who can contact the agent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Contact a NanoClaw agent by SMS
• Set up an AI phone receptionist
• Restrict the line to a paired owner phone

Add email conversations to NanoClaw using Resend and Chat SDK. Install and test the email adapter, configure sending credentials and incoming email notifications, then connect your address to an agent for ongoing replies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding email as a NanoClaw communication channel
• Connecting your email address to a chosen agent
• Setting up replies through incoming email webhooks

Connect NanoClaw directly to WhatsApp using the Baileys adapter and phone-based QR or pairing-code authentication. Supports conversations, file exchange, reactions, and approval commands, with different setup and response behavior for dedicated and personal numbers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Chat with an agent on a dedicated WhatsApp number
• Use an agent in a personal self-chat
• Exchange images, audio, and documents

Uses OpenCLI to inspect and interact with Chrome pages, including logged-in websites. Agents can fill forms, extract page data, inspect captured network requests, take screenshots, and manage Chrome tabs, groups, and windows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Filling forms and clicking controls on logged-in websites
• Extracting page text and taking screenshots
• Inspecting network requests for API investigation

Create and render TanStack Table v9 tables in octane. The skill covers project configuration, column definitions, and rendering headers, rows, and cells, with guidance for sharing table features and reusable interface components.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a basic table in octane
• Render table headers, rows, and cells
• Configure Vite and TSRX for the adapter

Save web content as readable Markdown, a plain-text format for structured notes. Supports X posts, YouTube transcripts, Hacker News discussions, and general pages, with optional local downloads of images and videos.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Saving a web article as Markdown
• Keeping a YouTube transcript as a reference
• Archiving a Hacker News discussion

Diagnose failures in GKE HorizontalPodAutoscaler (HPA), which adjusts Pod counts automatically. Investigate missing metrics, unexpected scaling behavior, and slow reactions, then receive proposed configuration fixes or commands for review before deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating unknown metrics and HPA errors
• Diagnosing workloads that will not scale up or down
• Troubleshooting scaling to and from zero

Helps connect json-render to a writable Jotai atom, a unit that holds application state. Covers adapter setup and sharing a Jotai store so json-render and React components read and update the same values.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Manage json-render state with a Jotai atom
• Share an existing Jotai store with json-render
• Share state between useAtom() and json-render

Connect json-render interfaces to XState Store for state management. The skill shows how to adapt an atom, a container holding application state, so json-render reads and writes through it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting json-render screens to XState Store
• Using an existing atom as the source of UI state
• Setting up a StateStore adapter and StateProvider

Validate FASTQ sequencing files, run local quality checks, and interpret reports to decide whether trimming is needed. Optionally remove adapters or low-quality read ends while preserving original reads and their quality reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check sequencing quality before downstream analysis
• Summarize quality reports across multiple samples
• Assess whether adapter or quality trimming is needed

Guides migration of historical SWE-Marathon agent configurations to the shared Codex runtime. It preserves native tasks, verification rules, and scoring while outlining environment checks and restrictions on retired execution methods.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Migrating historical SWE-Marathon agent configurations
• Preserving task and scoring rules during migration
• Checking the native environment before a full run

Develop and troubleshoot plugins that connect external memory services to Nexent. Define plugin settings, implement search and ingestion, map errors, test with simulated network responses, and verify deployment, authentication, and runtime monitoring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding an external memory service to Nexent
• Reviewing an existing memory adapter
• Testing plugins without live service connections

Review and structure Rust backend changes using hexagonal architecture, which separates business rules from external interfaces. Check dependency direction, place authorization policy in domain services, and keep database operations and external clients behind defined interfaces.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing layer boundaries before Rust backend changes
• Moving permission decisions into domain services
• Separating database and external client implementations

Refactor claude-flow into an extension of agentic-flow@alpha to reduce duplicate implementations. Plan adapter layers, migrate agent and task management, and connect learning, shared memory, and tools while checking compatibility with existing functionality.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Consolidate duplicate agent and task management code
• Design an adapter that preserves existing APIs
• Integrate learning, shared memory, and MCP tools

Build or extend a custom Mirage VFS adapter for a user's API, database, object store, or application data. Use when connecting a new resource to Mirage, implementing a backend, or packaging a reusable adapter. For reading or editing data in an existing mount, use the filesystem workflow instead.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

[omh] Lost track of agent sessions and worktrees: normalize Codex, Claude Code, Hermes, OpenCode, Cursor, MCP host, worktree, and wrapper session metadata into one drift-aware inventory. Use when the user says: harness-session-inventory, harness session inventory, session inventory, session adapter, session adapters, harness sessions, mcp inventory, mcp config inventory.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Configures and runs agents with different adapters including Claude, OpenAI, CrewAI, Lyzr, and GitHub Models. Supports local execution, remote git repos, and one-shot prompts. Use when the user wants to run an agent, switch LLM providers, configure adapter settings, or launch agents from git repositories.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.