Azure Event Hubs SDK for Rust. Use for sending and receiving events, streaming data ingestion.
日本語の概要は準備中です。原文の説明を表示しています。
2,254 件 ・ 関連度順
概要と使いどころ
Azure Event Hubs SDK for Rust. Use for sending and receiving events, streaming data ingestion.
日本語の概要は準備中です。原文の説明を表示しています。
The PRIMARY development workflow for the Archon project (remote-coding-agent). Use this skill instead of any PRP skills when working on Archon code. Routes to 10 specialized cookbooks based on what the user is trying to do: RESEARCH — "how does the orchestrator work?", "where is session state defined?", "trace the workflow execution flow", "what is IWorkflowStore?" INVESTIGATE — "should we use Drizzle or Prisma?", "what's the best way to add WebSockets?", "can we migrate to Turso?", "how do other projects handle rate limiting?" PRD — "write a PRD for dark mode", "spec out the notification feature", "product requirements for webhook retry" PLAN — "plan the auth refactor", "design the caching layer", "create an implementation plan for #42" IMPLEMENT — "implement the plan", "execute .claude/archon/plans/auth.plan.md", "build the feature from the plan", "code this up" REVIEW — "review PR #123", "review my changes", "code review the diff" DEBUG — "debug the failing test", "why is streaming broken?", "root cause analysis on the timeout issue" COMMIT — "commit these changes", "commit the auth refactor" PR — "create a PR", "open a pull request for this branch" ISSUE — "report this to gh", "create a gh issue", "log it in github", "file a bug for this", "create a feature request" This skill triggers on ANY development task: researching, investigating, planning, building, reviewing, debugging, committing, or shipping code. NOT for: Running Archon CLI workflows in worktrees (use /archon instead).
日本語の概要は準備中です。原文の説明を表示しています。
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
日本語の概要は準備中です。原文の説明を表示しています。
直播辅助,弹幕管理 + 数据分析。
日本語の概要は準備中です。原文の説明を表示しています。
CCXT cryptocurrency exchange library for Python developers. Covers both REST API (standard) and WebSocket API (real-time). Helps install CCXT, connect to exchanges, fetch market data, place orders, stream live tickers/orderbooks, handle authentication, and manage errors in Python. Use when working with crypto exchanges in Python projects, trading bots, data analysis, or portfolio management. Supports both sync and async (asyncio) usage.
日本語の概要は準備中です。原文の説明を表示しています。
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).
日本語の概要は準備中です。原文の説明を表示しています。
Generate a complete Model Context Protocol server project in Java using the official MCP Java SDK with reactive streams and optional Spring Boot integration.
日本語の概要は準備中です。原文の説明を表示しています。
Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support
日本語の概要は準備中です。原文の説明を表示しています。
Run Claude Code programmatically without interactive UI. Triggers on: headless, CLI automation, --print, output-format, stream-json, CI/CD, scripting.
日本語の概要は準備中です。原文の説明を表示しています。
Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
日本語の概要は準備中です。原文の説明を表示しています。
Identify all files a specific author contributed to on a branch vs its upstream, tracing code through renames. Use when asked who edited what, what code an author contributed, or to audit authorship before a merge. This skill should be run as a subagent — it performs many git operations and returns a concise table.
日本語の概要は準備中です。原文の説明を表示しています。
Blockchain USDC payments via APay — pay services, manage budgets, open streaming channels, and handle x402 protocol.
日本語の概要は準備中です。原文の説明を表示しています。
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.
日本語の概要は準備中です。原文の説明を表示しています。
You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.
日本語の概要は準備中です。原文の説明を表示しています。
Builds real-time features. SignalR hubs, SSE (.NET 10), JSON-RPC 2.0, gRPC streaming, scaling.
日本語の概要は準備中です。原文の説明を表示しています。
Builds gRPC services. Proto definition, code-gen, ASP.NET Core host, streaming, auth.
日本語の概要は準備中です。原文の説明を表示しています。
Performs file I/O. FileStream, RandomAccess, FileSystemWatcher, MemoryMappedFile, paths.
日本語の概要は準備中です。原文の説明を表示しています。
Architects Blazor apps. Hosting models, render modes, routing, streaming, prerender.
日本語の概要は準備中です。原文の説明を表示しています。
Creates or updates the active planning artifact under planning/active/ for any change-bearing workstream. Consumes the active spec when one exists. Defines ordered tasks, target paths, commands, and checkpoints.
日本語の概要は準備中です。原文の説明を表示しています。
Create safe, deterministic git worktrees for large or risky workstreams. Use when tasks are complex enough to warrant isolation from the main working tree.
日本語の概要は準備中です。原文の説明を表示しています。
Close out a completed workstream by updating README artifacts when needed, producing a commit message, and applying changelog-ready content when the work is ready for commit. Use after review when a stable checkpoint is ready.
日本語の概要は準備中です。原文の説明を表示しています。
Close out a completed workstream by updating README artifacts when needed, producing a commit message, and applying changelog-ready content when the work is ready for commit. Use after review when a stable checkpoint is reached.
日本語の概要は準備中です。原文の説明を表示しています。
Create safe, deterministic git worktrees for large or risky workstreams using the repository-owned runtime helper and Windows-safe defaults.
日本語の概要は準備中です。原文の説明を表示しています。
Detects and prevents code injection attacks targeting serverless functions (AWS Lambda, Azure Functions, Google Cloud Functions) through event source poisoning, malicious layer injection, runtime command execution, and IAM privilege escalation via function modification. The analyst combines static analysis of function code, CloudTrail event correlation, runtime behavior monitoring, and IAM policy auditing to identify injection vectors across the expanded serverless attack surface including API Gateway, S3, SQS, DynamoDB Streams, and CloudWatch event triggers. Activates for requests involving Lambda security assessment, serverless injection detection, function event poisoning analysis, or serverless privilege escalation investigation.
日本語の概要は準備中です。原文の説明を表示しています。