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概要と使いどころ
Use when modifying, removing, or refactoring code that lacks test coverage. Emphasizes the danger of untested changes and the RGR workflow to add characterization tests before modifications.
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。
Turn 'should never happen' into 'cannot happen' by defining owned inductive invariants and enforcing them at parse/construct/API/DB/lock/txn boundaries with a verification signal. Use when prompts mention invariants, impossible states, validation sprawl, cache/index drift, idempotency/versioning, retries/duplicates/out-of-order events, race/linearization bugs, loop correctness, or hardening another workflow (for example /tw-fix) with invariant checks first.
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。
Clarify ambiguous or conflicting requests by researching first, then asking only judgment calls. Use when prompts say "grill me", ask hard questions, request relentless interrogation, pressure-test assumptions, clarify scope/requirements, define success criteria, or request system-design/optimization decisions before implementation; stop before 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。
Comprehensive, measurement-driven performance optimization for latency, throughput, memory/GC, and tail behavior. Use when the user asks to optimize/speed up, reduce latency (p95/p99), increase throughput/QPS, lower CPU/memory/allocations/GC pauses, profile hot paths, or run a benchmarked perf pass (including JSONL/query-heavy code). Requires before/after measurement on a runnable workload (or an explicit `UNMEASURED` plan) plus a correctness gate.
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。
Validate and implement Sinclair ZX Spectrum 48K ROM-visible behavior in the EMULATORS repository, including reset and restart vectors, IM1/NMI handling, keyboard scanning and repeat, beeper and tape routines, screen/printer output, channels and streams, BASIC tokenization and execution, expression evaluation, memory movement, system variables, calculator stack, floating-point formats, ROM traps, localized ROM selection, and firmware/hardware timing contracts. Use when Codex reviews or edits ZX Spectrum ROM loading, KERNAL-style traps, keyboard, tape, screen, printer, BASIC files, tokens, system variables, startup, interrupts, or compatibility tests.
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。
Validate and implement Sinclair ZX81 video emulation in the EMULATORS repository for /mZX811, /mZX812, and /mZX813, including ULA character generation, Z80 display-file execution, M1/refresh/HALT/INT behavior, scanline timing, HSYNC/VSYNC, NMI generator and WAIT synchronization, SLOW and FAST modes, PAL/NTSC margins, collapsed display files, inverse video, high-resolution techniques, ROM-version interactions, and ULA revision boundaries. Use when Codex reviews or edits namespace ZX81 ULA, ULARegisters, MemoryVideoCode, Memory, PortManager, Screen, CPU interrupt timing, raster, ROM-specific video flow, or ZX81 video tests.
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 or extend a reusable hardware chip and its machine-specific wiring in EMULATORS, including registers, pins or logical signals, clocks, state machines, memory-mapped behavior, side effects, interrupts, DMA or bus requests, serialization, introspection, and chip tests. Use when adding a controller, timer, PIA, PPI, UART, video or sound device, custom ASIC, register bank, or a variant of an existing chip.
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。
Parse and interpret execution debug logs generated by the EMULATORS framework, correlating each CPU instruction block with its VIC-II, CIA, SID, interrupt, stop, raster, badline, and memory-access cycles. Use for .LOG traces from EMULATORS when diagnosing cycle timing, raster effects, CPU stalls, IRQ/NMI entry, instruction/chip synchronization, or when reconstructing execution around a PC or mapped register.
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。
Test or debug application use cases through their public Action API, including persistence, authorization failures, atomic rollback, and post-commit reactions. Use when adding regression tests for business operations.
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 capturing or restoring a learner's persistent profile to personalize teaching across sessions.
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 logging, scoring, and triaging a learner's persistent weak areas to drive intervention selection.
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。
Conduct reproducible web searches and decision-oriented research across official sites, search engines, news, papers, forums, social platforms, and public datasets. Use when Codex must investigate a person, organization, product, market, technical resource, reputation, career choice, or other current topic; compare candidates; verify claims; collect dated citations; distinguish facts from inference and anecdote; or write an evidence-backed research report.
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。
Add new capabilities or modify NanoClaw behavior. Use when user wants to add channels (Telegram, Slack, email input), change triggers, add integrations, modify the router, or make any other customizations. This is an interactive skill that asks questions to understand what the user wants.
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。
Add new capabilities or modify NanoClaw behavior. Use when user wants to add channels (Telegram, Slack, email input), change triggers, add integrations, modify the router, or make any other customizations. This is an interactive skill that asks questions to understand what the user wants.
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。
Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.
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。
Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.
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。
Audit and harden Convex authorization: identity-from-arg impersonation, missing per-document ownership checks, PII-leaking public queries, and writes into containers the caller doesn't own. Deterministic scan + canonical requireIdentity/requireOwner fix + tsc verify. Use for 'secure my app' / 'audit auth' / 'who can access this data', not generic code review.
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。
Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.
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。
Audit and harden a Convex app's authorization: identity-from-arg impersonation, missing per-document ownership checks, public queries leaking data by a client-supplied id, and writes into a parent/container the caller doesn't own. Scans for the 4 shapes, applies requireIdentity/requireOwner, verifies with tsc. TRIGGER on 'secure my app', 'audit auth/authz', 'who can access this data'. SKIP when there is no convex/ directory.
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。
Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization. Triggers: "transcription", "speech to text", "Azure AI Transcription", "TranscriptionClient".
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 Azure architectures for startups and enterprises. Use when asked to design Azure infrastructure, create Bicep/ARM templates, optimize Azure costs, set up Azure DevOps pipelines, or migrate to Azure. Covers AKS, App Service, Azure Functions, Cosmos DB, and cost optimization.
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 AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer
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。
When the user wants to audit or optimize an App Store or Google Play listing. Also use when the user mentions 'ASO audit,' 'app store optimization,' 'optimize my app listing,' 'improve app visibility,' 'app store ranking,' 'audit my listing,' 'why aren't people downloading my app,' 'improve my...
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。
When the user wants to audit or optimize an App Store or Google Play listing. Also use when the user mentions 'ASO audit,' 'app store optimization,' 'optimize my app listing,' 'improve app visibility,' 'app store ranking,' 'audit my listing,' 'why aren't people downloading my app,' 'improve my...
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。