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概要と使いどころ
Use after a verified Decisions harness audit when the user asks to apply safe fixes to harness drift, dead references, stale projected skills, duplicate routing, bloated state files, or invalid local config.
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。
Enterprise-grade code review agent. Reviews PRs, diffs, or code files for security vulnerabilities, performance issues, error handling gaps, architecture smells, and test coverage. Works with any language, any repo, no dependencies required.
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。
Write high-converting copy for any medium — landing pages, emails, ads, UX, sales pages, video scripts, and brand voice. Complete methodology with frameworks, templates, scoring rubrics, and swipe files. Use when writing or reviewing any user-facing text.
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 ad creatives (images and videos) extracted from competitor research. Use when given a directory of ad images, video files, or transcripts to evaluate ad quality, score visual and messaging effectiveness, assign a scale score for viral/engagement potential, and generate a cross-creative pattern summary. Triggered by requests like "analyze these ads", "score these creatives", "what hooks are competitors using", "evaluate the ad library", "give me a scale score", "analyze the ad folder", or "what's working in these ads".
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。
Multi-channel ABM automation that turns LinkedIn URLs into coordinated outbound campaigns. Scrapes profiles, enriches with Apollo (email + phone), gets mailing addresses via Skip Trace, then orchestrates email sequences, LinkedIn touches, and handwritten letters via Scribeless. The secret weapon for standing out in crowded inboxes.
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。
Render music videos from audio files and lyrics using Remotion. Accepts audio + LRC/JSON lyrics + title to produce MP4 videos with waveform visualization and synced lyrics display. Use when users mention MV generation, music video rendering, creating video from audio/lyrics, or visualizing songs.
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。
Transcribe audio to timestamped lyrics using OpenAI Whisper or ElevenLabs Scribe API. Outputs LRC, SRT, or JSON with word-level timestamps. Use when users want to transcribe songs, generate LRC files, or extract lyrics with timestamps from audio.
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。
Agent profiles, public channels, and direct messaging between AI agents via the a2achat.top 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。
Native video analysis using Google Gemini API. Upload and analyze video files — describe scenes, extract text/UI, answer questions about content, transcribe speech, identify objects and actions. Use when: (1) User sends a video file and wants it analyzed, (2) Video summarization or description needed, (3) Extracting text, UI elements, or information from screen recordings, (4) Answering questions about video content, (5) Comparing multiple videos, (6) Analyzing tutorials, demos, or walkthroughs.
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。
Other tools need perfect images. CellCog turns ideas into 3D models. From rough sketches, text descriptions, or product photos — production-ready GLB files for games, AR/VR, e-commerce, and 3D printing.
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。
Browse 4chan boards and extract thread discussions into structured text files. Use when you need to fetch catalog information or specific thread content (including post text and file metadata) from 4chan boards like /a/, /vg/, /v/, 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。
Use when working with Protocol Buffer (.proto) files, buf.yaml, buf.gen.yaml, or buf.lock. Covers proto design, buf CLI, gRPC/Connect services, protovalidate constraints, schema evolution, and troubleshooting lint/breaking errors.
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。
Resolve Drizzle migration merge/rebase conflicts in OneQuery by rewinding local-only migration history and regenerating migration metadata. Use when conflicts involve packages/db/src/migrations/meta/_journal.json, migration SQL files in packages/db/src/migrations/*.sql, or migration snapshots in packages/db/src/migrations/meta/*_snapshot.json.
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。
Activate when user expresses intent to start Sisyphus work (e.g., "okay then work like that", "let's execute this", "start working on this"). Extract ai-todolist.md content from GitHub comments/files, create branch, commit, and trigger GitHub Actions workflow. If no ai-todolist format found, load plan-writer skill 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。
Token-economy working rules for code, scripting, data and file tasks - build less, work lean, talk less; stdlib first, generate instead of enumerate. Use at the start of any task that writes or changes code, scripts or data files, or when the user says /occam, lean mode, or asks to save tokens.
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, audit, harden, review, or upgrade MCP servers and MCP Apps with revision-aware protocol profiles, explicit HTTP/deployment boundaries, capability-centered validation, bilingual reporting, and reproducible evidence. Use for MCP server architecture, JSON-RPC or Streamable HTTP bugs, security hardening, protocol-version migration, MCP Apps widget boundaries, review reconciliation, test planning, and public engineering evidence.
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。
Adversarially verifies DATA_MODEL.md property rows against cited Source files. Use after data-model-documenter when DATA_MODEL.md changed — inventories each property in added/changed catalog sections and classifies VERIFIED / REFUTED / UNVERIFIABLE. Triggers on "verify DATA_MODEL", "check catalog against source", "data model verification".
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, reviewing, or deploying Solidity smart contracts — token contracts, signature-gated claim systems, merkle-gated staking vaults, allocation modules, role-based proxies, or factory patterns. Triggers on edits to `*.sol` files, `hardhat.config.*`, `foundry.toml`, deploy scripts, or mentions of "smart contract", "Solidity", "Web3", "EVM", "Hardhat", "Foundry", "ERC20/721/1155", "merkle", "staking", or "on-chain". For security audits and adversarial review see security-engineering.
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 TypeScript frontend tests — Jest unit/integration tests for React components and hooks built with Chakra UI, React Query, Zustand, and Next.js App Router. Triggers on edits to `*.test.tsx`, React component/hook test files (`.tsx`, not `.ts`) under `**/__tests__/`, custom test render helpers, or mentions of "frontend test", "component test", "hook test", "React test", "UI test".
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 implementing analytics with PostHog in a TypeScript app — capturing events, identifying users, adding feature flags, tracking errors, or wiring API lifecycle telemetry. Triggers on edits to analytics integration files, or mentions of "PostHog", "analytics", "feature flag", "event tracking", "capture", "identify", "A/B test", or "experiment".
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 games or interactive software in Godot 4 with C# — designing scenes and nodes, writing gameplay code, handling input, physics, animation, UI, rendering, save systems, performance work, WebSocket-based multiplayer, or exporting to platforms. Triggers on "Godot", "GDScript", "C# Godot", "scene tree", Godot node types (Node2D, Node3D, Control, CharacterBody), "_Process", "_PhysicsProcess", "signal", "autoload", "RPC", "WebSocketMultiplayerPeer", "shader", "export preset", or any Godot 4 project files. For game design see game-systems-designer; for balance see game-balancer; for game-specific intake see game-design-shaper.
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 TypeScript backend tests — Jest unit tests for services/controllers (mocked Prisma) or Supertest integration tests against a real isolated PostgreSQL test database. Triggers on edits to `*.service.test.ts`, `*.controller.test.ts`, `*.integration.test.ts`, service/controller/API test files (`.ts`, not `.tsx`) under `**/__tests__/`, or mentions of "backend test", "service test", "API test", "database test".
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。
Measurement-driven code refactoring — profile before changing, measure after, keep only if metrics improve. Covers complexity reduction, extraction patterns, and bulk refactoring for mechanical changes across many files.
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 implementing features, fixing bugs, or refactoring code that may invalidate existing docs. Detects stale documentation by matching the code diff against in-repo doc files and applies targeted updates. Relevant when code changes rename, remove, or add APIs, fields, config keys, or CLI flags. Also applies when the user says "update docs", "check docs", or "are the docs stale", or when reviewing a branch for documentation accuracy.
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。