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概要と使いどころ
Manage knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.
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 this skill whenever the user asks for an HTML-first visual design deliverable or design judgment: interactive prototype, slide deck, motion demo, infographic, dashboard, landing page, whitepaper, changelog, business card, social cover, brand system, design critique, multi-variant exploration, or export to MP4, GIF, PPTX, PDF, or SVG. It is optimized to make AI agents do the routing, template selection, verification, and export prep so humans spend less time prompt-engineering. Do not use for production web apps, SEO sites, backend systems, or pure copy edits.
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。
Review owned or authorized code for security using structure-first evidence: AST/structure maps, call graphs, complexity, Source/Sink flow, and defensive findings. Use when asked for security review, vulnerability review, AST structure map review, SAST triage, Source/Sink, taint flow, parser/scanner hardening, CI/CD security, LLM/agent tool boundary review, 脆弱性レビュー, 構造マップ, セキュリティレビュー.
API security automation skill for REST, GraphQL, gRPC, and WebSocket APIs. Covers OpenAPI/AsyncAPI ingestion, authenticated fuzzing, OWASP API Top 10 (BOLA, BFLA, mass assignment, SSRF), schema diffing, GraphQL introspection abuse, JWT and OAuth misuse, rate-limit and replay testing. Use to automate API assessments with safe, scoped, evidence-backed findings.
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。
Apollo Client GraphQL patterns — normalized cache and type policies, queries, mutations with optimistic updates, pagination, fragments, subscriptions, and Suspense hooks
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。
URQL GraphQL client patterns — the exchange pipeline, document and normalized caching, queries, mutations, subscriptions, and authentication
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。
React Native Skia GPU-accelerated 2D graphics - Canvas, declarative drawing, shaders, image filters, Paragraph text, Atlas batch rendering, Reanimated animations
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。
GraphQL API server with Apollo Server — schema, resolvers, context, error handling, data sources, plugins
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。
GraphQL server for Fastify with Mercurius — loaders, subscriptions, federation, JIT compilation
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。
GraphQL Yoga v5 server, Envelop plugins, subscriptions, error masking
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。
Adds professional packaging and motion graphics to videos. Use when the user asks to add intros, outros, subtitles, transitions, watermarks, or lower thirds to a video. Supports multiple styles and custom options, no API key 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。
Crystal structure fundamentals — lattices, space groups, Miller indices, and reading crystallographic data correctly.
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。
Structural and functional brain connectivity — tractography, functional networks, and graph-theoretic analysis.
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 Symphony's `linear_graphql` client tool for raw Linear GraphQL operations such as comment editing and upload flows.
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。
Locates candidate encryption keys in a binary by finding high-entropy fixed-size regions (16/24/32 bytes) near cryptographic constants or crypto API references, and surfacing printable key/passphrase strings. Activates for requests to extract encryption keys, find an AES key in a sample, or recover hardcoded crypto material.
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。
Load, run, and test VST3 / AU / CLAP / LV2 plugins from Pulp code. Use when working on `core/host/` (scanner, plugin_slot, signal_graph), when adding a new format backend, when wiring a plugin into a SignalGraph, or when writing an integration test that needs a real plug-in binary.
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。
Traces and documents signal paths, bus/aux architecture, and sidechain connections in audio systems. Surfaces hidden coupling between audio components. Use when the user asks to trace a signal chain, explain audio routing, understand an audio graph, locate sidechain sources, or describe how audio flows through a plugin or engine. Trigger on phrases like "trace this signal chain", "explain this audio routing", "what calls what in this audio graph", "where does the sidechain come from", "how does audio flow through this plugin".
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。
Meta-orchestrator — dispatches to the right skill for the task. Use before any non-trivial work.
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 graph-informed implementation plans before writing code. Use before any non-trivial task. Skip for small changes (≤2 files, <20 lines, no hub/bridge).
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 integration and e2e tests after unit tests pass. Use after /supergraph:fix when unit tests are green.
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。
Plan-aware graph-enhanced code review before merge. CRITICAL issues block merge. Use after fix/verify.
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。
Convert current conversation context into a structured Product Requirements Document (PRD) and optionally post it to GitHub Issues. Use before /supergraph:plan when requirements came from a conversation, user story, or feature discussion rather than a formal spec.
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。
Apply a formal state machine to issues — assign category (bug/enhancement/question/spike) and state (needs-triage → needs-info → ready-for-agent → ready-for-human → wontfix). Issues marked ready-for-agent become inputs to supergraph:plan. Use when processing a backlog, reviewing new issues, or preparing work for automation.
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。