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無料Orchestrating multi-session parallel execution via Claude Code Agent Teams API and Codex CLI Subagents — launch, manage, coordinate concurrent tasks. Use when parallel work is needed.
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。
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概要と使いどころ
Orchestrating multi-session parallel execution via Claude Code Agent Teams API and Codex CLI Subagents — launch, manage, coordinate concurrent tasks. Use when parallel work is needed.
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。
Go concurrency patterns for high-throughput web applications including worker pools, rate limiting, race detection, and safe shared state management. Use when implementing background task processing, rate limiters, or concurrent request handling.
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。
Comprehensive BubbleTea TUI code review for terminal applications. Use when reviewing charmbracelet/bubbletea, lipgloss, bubbles, or Wish SSH code; optionally reviews each area concurrently.
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。
CatColab Petri Nets - concurrent system modeling via places (states), transitions (events), and token flow. Foundation for process algebra, workflow, and chemical reaction networks.
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。
Use when writing asyncio Python code — async/await coroutines, concurrent I/O with asyncio.gather, task creation and cancellation, semaphore rate limiting, producer-consumer queues, async context managers, async generators, WebSocket servers, aiohttp web scraping, async database operations, run_in_executor for blocking calls, or testing async code with pytest-asyncio. Covers FastAPI and aiohttp patterns, synchronization primitives, timeout handling, and common pitfalls like event loop blocking and missing await.
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。
Use when building CLI applications with Typer and Rich — creating commands with Annotated parameter syntax, defining arguments and options, composing subcommands, async concurrent CLI tasks with semaphores, testing with CliRunner, PEP 723 shebang scripts, progress bars, Rich terminal output, or non-TTY display width handling.
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。
Swift 6.2 Approachable Concurrency — single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.
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。
Check semantic interference when concurrent changes or stacked PRs meet. Use after a merge or rebase, at a stack checkpoint, or when comparing changed source with a live run. Measure overlap and exercise the affected combined path; stack-hop owns publication and failed-checkpoint isolation.
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。
Drives headless Chrome via the Browserless.io API for scraping dynamic SPAs. Uses /content, /screenshot, and /pdf endpoints with stealth mode. Manages session tokens and concurrent connection limits.
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 concurrent scripted conversations against a target agent to measure whether it stays on task, responds correctly, and holds up in repeatable test cases.
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。
5-phase repeatable structure for autonomous agent sessions: context-load, tiered work-selection, coordination claim, execute, and persist-learning. Prevents duplicate work across concurrent sessions and ensures every run produces durable artifacts. Runtime-agnostic — Claude Code, gptme, Codex, or any persistent-workspace 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。
Use when scraping JavaScript-heavy pages or SPAs, crawling multiple URLs concurrently, extracting structured data with reusable CSS/JSON schemas, or building automated web data pipelines. Wraps the Crawl4AI library (`crwl` CLI and Python SDK) with schema-generation patterns for LLM-free extraction. Triggers on crawl4ai, crwl, scrape JS-heavy site, scrape SPA, headless browser scrape, schema-based extraction, batch crawl, sitemap crawl, web data pipeline. SKIP when a static HTML page can be read with `defuddle` / `fetch-web` — those are faster cold-start and don't need a browser.
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。
Execute pending tasks in dependency order with wave-based concurrent execution via Agent Teams
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。
Execute pending Claude Code Tasks in dependency order with wave-based concurrent execution and adaptive verification. Supports task group filtering and configurable parallelism. Use when user says "execute tasks", "run tasks", "start execution", "work on tasks", or wants to execute generated tasks autonomously.
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。
Policy for the cross-model council: when to hand off to an installed sibling plugin's own slash command (`/codex:*`) versus dispatching our `delegation-runner` (backend: codex|agy|…), which backend to pick, what permission posture to use, and the fan-out/cost discipline that applies regardless of backend — plus the council layer built on that substrate: which play to run, how a cast gets picked from the project roster, budget guardrails, and where project policy/commission config lives. Consult before delegating out to a peer agentic CLI, before choosing between a sibling plugin's command and our runner, before choosing a permission posture, before fanning out more than one external delegation concurrently, or before running a council play (`/…:council-run`).
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。
Fly one thought to its destination across concurrent agents, on whatever the project and harness already have. Lands only when the user has accounted for every detail, never on an agent's say-so.
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。
Use when a protocol, concurrent algorithm, or design needs a model-checked TLA+ or Alloy spec, or a TLC or Apalache trace needs reading. Not for choosing when to model: use validation-first-driven.
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。
Use when handling external API rate limits (e.g., OpenAI 429s, HubSpot or Stripe rate limits), preventing duplicate work from rapid event bursts (debouncing user actions), spreading load over time, ensuring per-tenant fairness, processing events in batches, limiting concurrent runs of the same operation, or assigning priority to important runs. Covers Inngest flow control: concurrency limits with keys, throttling, rate limiting, debounce, priority, singleton, and event batching.
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。
Bulk extract content from an entire website or site section. Use this skill when the user wants to crawl a site, extract all pages from a docs section, bulk-scrape multiple pages following links, or says "crawl", "get all the pages", "extract everything under /docs", "bulk extract", or needs content from many pages on the same site. Handles depth limits, path filtering, and concurrent extraction.
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 clean markdown from any URL, including JavaScript-rendered SPAs. Use this skill whenever the user provides a URL and wants its content, says "scrape", "grab", "fetch", "pull", "get the page", "extract from this URL", or "read this webpage". Handles JS-rendered pages, multiple concurrent URLs, and returns LLM-optimized markdown. Use this instead of WebFetch for any webpage content extraction.
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。
High concurrent SQLite access causing lock contention and missing indexes Keywords: sqlite, wal, indexes, performance
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。
Race condition and TOCTOU testing for web apps. Use when testing one-time operations, concurrent HTTP abuse, rate-limit bypass, Turbo Intruder gates, HTTP/2 single-packet attacks, and CWE-362-style synchronization gaps.
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。
Exploit Time-of-Check to Time-of-Use (TOCTOU) race conditions in web applications and APIs. Use this skill when testing transactional operations (e.g., applying coupons, transferring funds, redeeming rewards, or purchasing items) to bypass business logic and duplicate actions before the server updates its database state.
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。
Use when writing or reviewing error handling, floating-point math, concurrent code, remote calls, singletons/globals, hot-path data structures, or high-volume log statements
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。