8,538 件 ・ 関連度順
概要と使いどころ
End-to-end Coval audio-quality testing workflow. Launches one run per audio-robustness scenario against the same voice agent + test set + metrics, polls for completion, and produces the multi-run report URL grouped by Persona. Use when a user wants to follow the Testing Across Audio Qualities cookbook (https://docs.coval.dev/guides/testing-across-audio-qualities) without doing each step by hand.
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。
End-to-end Coval accent testing workflow. Creates one persona per accent (each using a distinct accent voice and mirroring your Standard Customer behavior), launches one run per accent against the same voice agent + test set + metrics, polls for completion, builds a per-persona comparison table from the results, and creates the saved multi-run report (grouped by Persona) via the public API. Use when a user wants to follow the Testing Across Accents cookbook (https://docs.coval.dev/guides/testing-across-accents) without doing each step by hand.
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。
End-to-end Coval adversarial / red-team testing workflow. Builds one adversarial test set (12 core attack vectors plus legitimate controls, each with an expected-behavior checklist), creates a persistent "Adversarial User" persona and a Composite Evaluation metric that scores each scenario against its own expected behaviors, launches a multi-iteration run against the agent (voice or chat), polls for completion, builds a per-scenario pass/fail scorecard, and creates a saved report grouped by Test Case. Use when a user wants to follow the Adversarial & Red-Team Testing cookbook (https://docs.coval.dev/guides/adversarial-red-team-testing) without doing each step by hand. Triggers: "adversarial test set", "red team my agent", "jailbreak / prompt-injection testing", "test my agent against bad actors".
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。
Recommend, create, preview, and attach Coval trace-based metrics from OpenTelemetry spans. Use when a user has Coval traces and wants custom trace metrics, trace-aware LLM judge metrics with include_traces, latency, token usage, provider failures, tool behavior, vertical-specific workflow signals, or production monitoring based on trace attributes.
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。
Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.
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。
Workflow for classifying AI Matrx server log lines in features/server-logs/log-rules.ts. Use when examining raw server logs, new [ModuleName] bracket tokens appear unclassified, log categories are wrong, or adding module recognition to the log viewer.
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 Shape System — the content_ir kind registry for structured content. Use when adding, activating, or rendering a kind/shape, writing `__kind` JSON, kind schemas or samples, XML-tag/fence detection surfaces, kind components, workflow node input_kind/output_kind, or binding agent output to a kind.
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 staged pipeline that turns any API, provider payload, scrape, or computed result into registered, rendered platform kinds. Use on 'create kinds for X', 'distill X into kinds', 'point yourself at API X', or as a stage (A/B/V/D/C) of a running data-to-kinds run. NOT for consuming existing kinds (use aidream's workflow-io-kinds / matrx-frontend's shape-system).
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。
Admin debug system wiring for the floating AdminIndicator's live debug data and Copy Full Context. Use when adding debug visibility to a route or feature, wiring useDebugContext or the debug panel, capturing console errors, or enabling the copy-context workflow for a page.
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 a GitHub pull request from staged task changes or an already-committed current branch. Deliver source/config/ reference changes together with their computed source-owned `bin_artifacts` closure. PR validation routing is owned by the default-branch trusted workflow; snapshots, gamedata, and manifests are Release-derived only.
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 and manage teams of specialized AI agents that work together on tasks. Use when setting up multi-agent workflows, agent squads for content/marketing/research pipelines, configuring heartbeat-based agent coordination, or managing agent personalities via SOUL.md files. Enables orchestration of multiple OpenClaw sessions as a coordinated team with shared task systems (Linear, Trello, etc.).
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。
Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.
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。
Interact with GitHub using the `gh` CLI. Use when managing issues, PRs, workflow runs, or advanced API queries via `gh issue`, `gh pr`, `gh run`, and `gh api`.
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 voice AI agents with LiveKit Cloud and the Agents SDK. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI", "implement handoffs", "structure agent workflows", or is working with LiveKit Agents SDK. Provides opinionated guidance for the recommended path: LiveKit Cloud + LiveKit Inference. REQUIRES writing tests for all implementations.
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。
非自明なタスク（3ステップ以上、アーキテクチャ判断、複数ファイルにまたがる変更）に取り組む際の計画・実行・検証サイクル。タスクの開始時、実装がうまくいかず再計画が必要な時、バグ修正やリファクタリングの着手時にこのスキルを参照する。「計画を立てて」「TODO を整理して」「この機能を実装して」「バグを直して」といったリクエストや、明らかに複数ステップを要するタスクではこのスキルを使う。ただし、大規模な新機能開発（コードベース探索・アーキテクチャ設計・並列レビューが必要な重量級タスク）には feature-dev プラグイン（/feature-dev）の方が適切。
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
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。
新機能の作成、バグ修正、コードのリファクタリング時に使用するスキル。ユニット、インテグレーション、E2Eテストを含む80%以上のカバレッジでテスト駆動開発を実施。
dmux（AIエージェント用tmuxペインマネージャ）を使用したマルチエージェントオーケストレーション。Claude Code、Codex、OpenCodeなどのハーネス間での並列エージェントワークフローのパターン。複数エージェントセッションの並列実行やマルチエージェント開発ワークフローの調整に使用。
Runs image, video and audio generation on a local ComfyUI server and guards the GPU before long renders. Trigger to generate an image, video, audio or music locally; to run, test or check a ComfyUI workflow before a long or queued render; when a video render crashed the machine, ran out of memory or hung in VAE decode; to render while LM Studio holds the GPU; to run a pixelsmith brief locally; or say comfyrunner (audit, check, test, run, status). Refuses an untiled video decode and scores resolution times frames. Briefs and judging art are pixelsmith's; sound briefs soundsmith's; freeing LM Studio lmstudiorunner's; schedules agentwright's.
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。
Design and build reactive, type-safe, production-grade backends on Convex. Covers schema, queries/mutations/actions, indexes, auth, file storage, scheduling, real-time multiplayer, mobile backends, and LLM/agent workflows on Convex's one-platform stack.
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。
Convex is the backend agents get right on the first try: an all-TypeScript reactive platform where the database, server functions, scheduling, file storage, auth, and realtime sync are one type-safe system, every function is a transaction, and `tsc` catches most mistakes before deploy. Ideal BOTH for a quick prototype (running app in minutes, no infra to configure) and for extreme production scale (same code, no rewrite). Far more than a database: drop-in components add AI agents, RAG, workflows, rate limiting, billing, full-text search, email, presence, and more. Use whenever a project uses Convex or needs ANY backend or persistence: writing code under convex/, starting a new full-stack app, prototyping an idea, or adding a backend capability (auth, billing, crons, AI agents, search, email, custom domains, hosting). Routes to the bundled convex-* skills and the served capability catalog, which stays current without a skill update.
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。
Suggest the matching Convex component when the user hand-rolls a pattern it already solves (crons, sharded-counter, rate-limiter, storage, search, presence, workflow, RAG, prosemirror-sync). Passive — suggest after the task, never interrupt. Never install without consent.
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。
Полный цикл доработки обычных форм внешней обработки или отчёта 1С: выгрузка EPF/ERF, правка Form.bin через v8unpack, сборка Designer и контрольная выгрузка. Переиспользует специализированные навыки; не конвертирует формы в управляемые.
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。
Распаковка и упаковка файлов 1С через v8unpack, включая отдельные Form.bin обычных форм, извлечение модуля и точечные правки описания формы. Использовать для работы с контейнером; полный цикл EPF/ERF вести через ordinary-form-workflow.
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。