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Download audio recordings from Coval voice simulations. Use when user wants to listen to or analyze call recordings.

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。

Retrieve and analyze simulation results from a Coval run. Use when user wants to review evaluation outcomes or debug agent behavior.

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。

Build a compact Coval test set from product requirements, observed conversation failures or a coverage gap. Design realistic scenarios with separate expected behaviors, provenance and controlled voice/persona variation.

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。

Analyze a Coval audio-quality testing report from runs across different voice, speaking-style, volume, interruption, and background-noise scenarios. Use when a user provides a Coval report URL, report export, run IDs, screenshots, or metric summary and wants evidence-backed next steps such as prompt changes, tool handling fixes, STT/TTS adjustments, trace setup, or expanded audio-scenario coverage.

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。

Analyze a Coval accent testing report from runs across different speaker accents. Use when a user provides a Coval report URL, report export, run IDs, screenshots, or metric summary and wants evidence-backed next steps such as prompt changes, STT/confirmation adjustments, accent-robust routing, or expanded accent coverage.

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 or improve a Coval dashboard with metric visualizations backed by real data. Creates new dashboards from scratch or rebuilds existing ones by analyzing usage patterns, metric frequency, and data density. Use when user says "create a dashboard", "build a dashboard", "improve my dashboard", "add widgets", "visualize my metrics", "make a performance dashboard", or "dashboard for my runs".

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。

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

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。

FLOW framework integration: evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "seo flow", "evidence-led SEO", "find leverage optimize win", or wants stage-specific SEO prompts.

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。

E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps. Combines on-page product SEO with marketplace data from DataForSEO Merchant API. Use when user says "ecommerce SEO", "product SEO", "Google Shopping", "marketplace SEO", "product schema", "Amazon SEO", "product listings", "shopping ads", or "merchant SEO".

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。

Programmatic SEO planning and analysis for pages generated at scale from data sources. Covers template engines, URL patterns, internal linking automation, thin content safeguards, and index bloat prevention. Use when user says "programmatic SEO", "pages at scale", "dynamic pages", "template pages", "generated pages", or "data-driven SEO".

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。

Doctrine for fixing TypeScript errors against generated types (database.types.ts, api-types.ts). Use when fixing tsc or type-check failures or a type-errors batch, writing supabase .rpc()/.from() calls or DB shape guards, errors mention Json/unknown/Database, or you are tempted to cast or suppress.

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。

Reimagine UI posture — bold from-scratch reinvention of a screen. Use when asked to rethink or reinvent a UI, merge screens, change its core interaction model, break the frame rather than polish, or generate surprising new concepts.

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 exactly what the person typed in a Claude Code session (script, no agent context spent), have a fresh agent write a faithful structured summary under it, and optionally have an adversarial agent judge whether the working agent is still on track. Use at a checkpoint, before a handoff, after a compaction, when a long session may have drifted from what the owner asked, or when told to 'summarize what I said' or 'check we're on track'.

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。

Fleet worker contract for wiring assigned files to the v3 right-click menu. Use when handed files from pnpm check:context-menu, or told to 'wire the menu on X', 'do your assigned rows', or 'clear your shard'. NOT for an unassigned one-off menu wiring (use context-menu-v3).

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 interview primitive for putting open decisions to an owner. Use on 'grill me', 'stress-test this', or 'what do you need from me before you build this', and whenever a plan, scope, spec, vision, or question ledger needs owner rulings. NOT for steps only a human can perform (use a guided session).

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。

One-time recovery when a shared checkout has drifted far from GitHub main: hundreds ahead/behind, stacked worktrees and PRs, a dirty tree nobody owns. Use when tempted to reset or force-push. NOT for the ordinary 30-minute release loop (operations/INTEGRATION_MAINTAINER.md).

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 frontend Error Inspector capture system (captureError, lib/diagnostics/**). Use when wiring a new CapturedErrorSource or adapter, calling captureError from a new site, picking a red/orange/yellow tier or errorTierRules downgrade, or turning a console.error or swallowed catch into a captured error.

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。

Custom chat display for an MCP or agent tool's result, DB-loaded from tool_ui by default. Use when adding or customizing a tool visualization, making a tool result look good, rendering MCP tool output, or authoring a renderer for a tool that shows the generic view.

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 one association system (platform.associations) and schema-qualified table refs. Use when touching an M2M junction table, an associate_*/attach_*/tag_* RPC, FK columns used as tags, a 'things attached to X' list or card, or a PGRST205 / 42703 table-not-found on a bare .from().

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。

Redux state for agent execution and firing agent shortcuts. Use when editing features/agents/redux/, building agent UI, creating a conversation, touching assembleRequest or NDJSON stream state, wiring agent-state selectors, adding a per-conversation capability, or triggering a shortcut from a button, menu, or code (useShortcutTrigger, launchAgentExecution).

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。

Locate CEconItemView::CEconItemView in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the WeaponPaints gamedata entry "CEconItemView::CEconItemView" (symbol CEconItemView_CEconItemView). This is the CONSTRUCTOR of CEconItemView. Shortlist via allocation sites: callers of operator-new whose result is immediately stored with the CEconItemView vtable (RTTI), followed by zeroing and initialization of definition-index/quantity/attribute-list fields. Distinguish from subobject constructors of derived classes by the vtable identity. Trigger: CEconItemView_CEconItemView, CEconItemView::CEconItemView

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。

Find and patch the water jump velocity inside CCSPlayer_MovementServices_CheckJumpButton in CS2 binary using IDA Pro MCP. This patch changes the water jump velocity from 100.0f to 145.0f by modifying the immediate operand of a mov instruction. Use this skill when reverse engineering CS2 server.dll or libserver.so to locate and patch the water jump height value. Trigger: water jump patch, CheckJumpButton water velocity, jump height patch, water jump 145

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。