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概要と使いどころ
Search, score, scan, and import agent skills from GitHub repositories that contain SKILL.md, CLAUDE.md, .cursorrules, and similar agent skill files. Discover community skills across many tool and provider categories, evaluate relevance with heuristic scoring, check for malware or hardcoded secrets, and install into Hermes, Claude Code, Gemini CLI, or OpenCode agent directories.
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。
Inspect and prepare the selected PR queue against its exact current base, repair authorized defects with contributor credit, and report full versus partial validation. Use for maintainer pre-greening; merging requires separate owner authorization and the shared merge gates.
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。
SPARC development workflow (Specification, Pseudocode, Architecture, Refinement, Completion). Use when: new features, complex implementations, architectural changes. Skip when: simple fixes, documentation, configuration.
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。
Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan
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 a historical backtest using npx neural-trader with Rust/NAPI engine (8-19x faster) and walk-forward validation; Ed25519-sign the result for paper→live tamper evidence (ADR-126 Phase 4)
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 a heavy neural-trader job (long walk-forward, big Monte-Carlo, parameter sweep, model training) on the Anthropic Managed Agent cloud runtime instead of locally
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。
Mean-variance portfolio optimization via Conjugate Gradient — 40-60× faster than the legacy Neumann path (ADR-126 Phase 3, ADR-123 Wedge 8)
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。
Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy. Use when the user asks about market conditions, wants to pick a strategy for current conditions, or before running a backtest/signal that should be regime-aware.
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。
Assess portfolio risk using npx neural-trader — VaR, CVaR, Sharpe, position sizing, circuit breaker status
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。
Export cost-tracking telemetry in Prometheus textfile or webhook JSON formats — for external observability (Grafana, Datadog, custom dashboards)
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。
Drive an authentication flow once, sanitize cookies through AIDefence, and vault a reusable cookie handle in browser-cookies for future 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。
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
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。
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
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 reviewing image assets, icon libraries, or components that render illustrations to identify culture-specific content that may need locale overrides or replacement with neutral alternatives.
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。
ACTIVATES ONLY on an explicit user request for the ulw-plan workflow: the user themselves saying ulw-plan, ulw plan, /skill:ulw-plan, or asking in their own words for a work plan before coding. NEVER self-activates: a bare ulw/ultrawork run, an agent-side routing decision, or reading this file is not a request, and the plan-gated reviewers (metis/momus) stay locked without a user request plus a written .omo/plans plan file. Explore-first planning consultant (Prometheus) that grounds in the codebase, asks only the forks exploration cannot resolve - or researches them to best practice when the intent is fuzzy - waits for explicit approval, then writes ONE decision-complete work plan a worker executes with zero further interview. Triggers: ulw-plan, ulw plan, plan this, make a plan, plan before coding, interview me, break this down, start planning, plan mode.
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 ChatGPT Library when the user mentions their Library, asks to find or work with a Library-backed file, Site, or named file that may be in the Library, or wants to organize Library folders, restore a previous version, or share a native Library file or folder. Also use it when the user wants a user-facing file or reusable artifact created or updated, even if they do not mention the Library. It can search and read Library content, bring files into local workflows, save new deliverables, and update existing Library files while preserving their identity and version history.
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 creating, editing, or inspecting a spreadsheet or workbook (Excel, Google Sheets, or CSV), or when the task calls for a reusable budget, model, tracker, or structured data the user can sort, calculate, or update. Also use for questions that require inspecting an existing workbook; not for quick arithmetic or a small one-off table in chat unless requested as a spreadsheet.
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。
Publish a reusable native Muse Idea with idea.share when the user explicitly asks to share or publish an Idea or asks for a muse.ai/ideas link. Never offer it unprompted. Not for pages or write-ups, sending a result to someone, social posts, or sharing an artifact.
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 the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use /code-review for that.
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 data-driven 2D character rigs for local animation: parts, pivots, layers, constraints, views, and reusable rig packages.
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 reusable 2D character pose libraries, action cycles, and expression states for data-driven animation.
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。
Generate expressive, multilingual narration with fish.audio (S1 / S2-generation models) and reuse cloned voices via reference_id. Use when the user prefers fish.audio/Fish Audio TTS, wants a specific playground voice model, or needs high-emotion voice-clone narration.
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。
Generate neural narration audio using Azure AI Speech (REST text-to-speech). Use when synthesizing voiceovers or narration in OpenMontage. Optional cloud TTS provider — preferred when AZURE_SPEECH_KEY is configured; the local piper_tts remains the default offline path. Shares one Speech resource with azure_stt.
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 composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.
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。