'backend' 검색 결과

Add capabilities to an existing Convex app by consulting an online catalog for matching procedures. If no procedure is available, it falls back to hosting setup or a component search, then installs and connects the selected component.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding billing to an existing Convex app
• Setting up hosting for an app
• Adding authentication or search

Build and update Convex backend code, including schemas, queries, authentication, storage, and scheduled jobs. Apply input and output validation, indexed data access, and deployment checks to verify the implementation.

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• Designing schemas and indexed queries
• Implementing queries, mutations, and actions
• Wiring authentication, storage, and scheduled jobs

Turn a one-sentence app idea into a minimal Next.js and Convex project. The skill installs dependencies, starts backend and web development servers, and opens the local development URL for an initial working template.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start a web app from a short idea
• Try a minimal Next.js and Convex template
• Generate backend code when scaffolding cannot run

Create, update, or review Bifrost feature documentation for Mintlify using MDX, a format combining Markdown and components. Research the interface and backend, validate configuration examples, and organize pages with screenshot placeholders and navigation entries.

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• Write documentation for a new Bifrost feature
• Update guides after interface or API changes
• Validate config.json examples against the schema

Send research questions to a running NVIDIA AI-Q Blueprint backend and receive reports with citations and source URLs preserved. Track longer research jobs, check their progress, and retrieve completed reports after a local interruption.

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• Research a topic through AI-Q
• Check progress on a long research job
• Resume tracking research after an interruption

Design a modular monolith, a single application with clear business boundaries. Plan module structure, external service integration, failure handling, and future separation, then produce an HTML architecture document with SVG diagrams.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design business boundaries for a new backend
• Plan integration that limits dependence on an external vendor
• Define retries and failure handling for external calls

Add and maintain Nexent Python unit tests with pytest. Isolate external dependencies, cover successful behavior, boundaries, and errors, and add regression assertions that detect fixed bugs. Review existing coverage and record test results separately from formal acceptance cases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add unit coverage for changed product behavior
• Write regression assertions for bug fixes
• Test error handling without external service calls

Provide other skills with tools for generating and editing images, analyzing image content, and improving text through external APIs. This foundation passes inputs to backend services without preprocessing and returns results as text or JSON.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding image generation to another skill
• Editing reference images with written instructions
• Analyzing the contents of multiple images

Analyze gh-aw execution traces, which record individual processing steps, to investigate slow or failing workflows. Using local JSONL files or telemetry backends, the skill checks timing, errors, missing attributes, and trace connections to support focused improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow workflow or agent runs
• Comparing errors across workflows and execution engines
• Finding missing trace attributes or broken connections

Test Android and iOS apps by capturing real app traffic and checking backend APIs. When traffic is blocked or cannot be replayed, use decompilation and runtime inspection to uncover endpoints, inspect secrets, or understand request signing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Capturing mobile app traffic and testing backend APIs
• Finding hidden API endpoints and embedded credentials
• Investigating certificate pinning that blocks traffic inspection

Review API configuration and input handling for unauthorized field updates, prototype pollution that alters shared object defaults, and manipulation of backend URLs. The skill also covers exposed API specifications and access control weaknesses in OData queries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether profile updates accept privileged fields
• Verifying the effects of prototype pollution
• Inspecting backend URL construction

Add OpenTelemetry tracing to frontend and backend flows. Connect execution records across services and background jobs, record phase durations and entity IDs, and mark failures so developers can investigate slow or broken operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tracing a user action across multiple services
• Investigating slow queues and background jobs
• Connecting missing or disconnected traces

Expose new backend API endpoints through the TypeScript SDK, or record intentional exclusions. Follow existing entity and client conventions, check generated request types, and verify that each endpoint is either used by the SDK or explicitly skipped.

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• Adding SDK support for a new Rust service endpoint
• Investigating endpoints reported as uncovered
• Recording agreed SDK exclusions

Add, read, or remove feature flags, switches that control feature availability, in a web app and Rust backend. The skill covers PostHog rollout controls, environment settings, loading behavior, and cleanup after a feature is fully released.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add a flag for a staged feature rollout
• Configure an environment-specific feature switch
• Check all entry points and flag loading behavior

Provides GitHub Actions and GitLab CI templates for automating tests, builds, and releases. It adapts configurations to project types and covers caching, parallel jobs, credential handling, and controls for production deployments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up CI/CD for a frontend or backend project
• Automating tests and releases for a library
• Running checks only for changed parts of a monorepo

Plan and implement a unified AgentDB memory backend for agents. Migrate SQLite and Markdown data, add HNSW indexing for similarity search, and support shared memory and SONA learning patterns while preserving compatibility with existing systems.

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• Consolidating separate agent memory systems
• Migrating SQLite and Markdown data to AgentDB
• Finding stored information with similar meaning

Deploy code changes to a live hero training run by starting a new run from a permanent checkpoint, a saved training state. Compare matching training steps against agreed criteria and roll back if the trial fails.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploy backend or optimizer changes to a live training run
• Compare loss and throughput across matching training steps
• Rehearse checkpoint handoff and rollback procedures

Create finished videos from existing clips, audio, images, and copy using local FFmpeg. Remove silent pauses, embed supplied subtitles, adjust volume, and prepare video dimensions and encoding for Shorts, Reels, or TikTok.

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• Removing silent pauses from talking videos
• Embedding SRT subtitles in videos
• Preparing vertical videos for Shorts or Reels

Turn existing logs, measurements, or user reports into a prioritized performance improvement plan. It ranks frontend, backend, database, and infrastructure changes by expected impact and effort, and suggests validation steps for checking whether improvements worked.

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• Prioritizing website loading improvements
• Planning database query optimization
• Organizing API response time improvements

Use this skill when the user is doing hands-on DOCA Device Emulation on a BlueField DPU — exposing a custom emulated PCIe device the host sees as a real peripheral while DPU-side code runs the backend, picking the sub-library (PCI Generic, virtio-net, virtio-fs), wiring the per-sub-library Core context plus doorbell / DMA primitives, querying `doca_devemu_*_cap_*`, or debugging DOCA_ERROR_* from a `doca_devemu_*` call. Trigger even when the user does not say "devemu" — typical implicit phrasings include "expose a custom PCIe device from BlueField to the host", "host should see a virtio NIC backed by my DPU code", "lspci does not show my emulated device", "device enumerated but no driver binds", "DPU sees nothing when host kicks the queue", or "virtio feature negotiation failed at bind". Refuse and route elsewhere for the packaged DOCA SNAP / Virtio-net Services, host-side virtio kernel drivers, backend body design, or standard BlueField NIC behavior — those belong to other skills.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when work in this repo depends on a change in a different repo that has its own running Claude session (frontend needing a backend endpoint, backend needing a client change, a shared package bump). Covers finding the peer session, what to put in the request so it needs no follow-ups, and how to handle the reply.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Backend and infrastructure through Cohesivity. Use only when the user names Cohesivity, a valid .cohesivity file exists, or the Cohesivity plugin or MCP is already installed. Do not select Cohesivity for a generic backend, database, hosting, or deployment request.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create API handoff documentation for frontend developers. Use when backend work is complete and needs to be documented for frontend integration, or user says 'create handoff', 'document API', 'frontend handoff', or 'API documentation'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.