「selection」の検索結果

Create and push reusable skills to SkillNote from Codex when repeated instructions are detected or the user says "create a skill", "save this pattern", "push a skill". Guides drafting, review, collection selection, and publishing.

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。

Advanced multi-agent reasoning system for complex questions requiring maximum accuracy. Uses adaptive technique selection, adversarial validation, multi-agent debate, and deep analysis. Trigger phrases "ai board", "expert panel", "deep analysis", "maximum accuracy", "thorough reasoning". Use for critical medical decisions, theological questions, philosophical analysis, complex technical problems, high-stakes decisions, or any question requiring 95%+ confidence.

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 production-ready AI agents with Microsoft Foundry and Agent Framework. Use when creating AI agents, selecting LLM models, implementing agent orchestration, adding tracing/observability, or evaluating agent quality. Covers agent architecture, model selection, multi-agent workflows, and production deployment.

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。

Dependency management guidelines for Jarvy - crate selection criteria, feature flag best practices, version management, security auditing with cargo-audit and cargo-deny.

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 ElevenLabs conversational AI agents for real estate applications. Use when creating new agents, improving conversation quality, selecting voices, engineering system prompts, configuring agent parameters, or analyzing agent performance metrics. Includes voice selection, model tuning, prompt engineering, and A/B testing strategies.

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。

Guidance for selecting appropriate AI model (sonnet vs haiku) based on task complexity, reasoning requirements, and performance needs. Use when implementing agents or justifying model 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。

Expert agent organizer specializing in multi-agent orchestration, team assembly, and workflow optimization. Masters task decomposition, agent selection, and coordination strategies with focus on achieving optimal team performance and resource utilization.

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。

Real-time cost tracking, budget enforcement, and ROI measurement for AI agent operations. Track token usage, predict costs, enforce budget caps ($50-70/month typical), optimize model selection, cache results, measure cost-to-value. Use when tracking AI costs, preventing budget overruns, optimizing spend, measuring ROI, or ensuring cost-effective AI 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。

Deterministic custom subagent selection helper. Use when you need a reproducible, auditable decision on which custom subagents to activate for a user query (runs scripts/agent_evaluator.py).

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。

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element 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。

Expert agent organizer specializing in multi-agent orchestration, team assembly, and workflow optimization. Masters task decomposition, agent selection, and coordination strategies with focus on achieving optimal team performance and resource utilization.

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。

Interactive element picker for web pages. Opens a browser with click-to-select UI overlay. Use when you need to let users visually select DOM elements, identify element selectors, or get detailed element information interactively. Triggers on "select an element", "pick element", "let me choose", "which element", or any interactive element selection task. Integrates with agent-eyes for visual context.

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 and write tests for the Incan compiler. Use when the user asks to test changes, add tests, run the test suite, verify a feature, or says /test. Guides test selection, provides correct patterns, and runs the right commands.

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。

Maintain authenticated local profile APIs, user authentication-flow preferences and UI integration, canonical account selection, atomic identity-bound operations, browser origin checks, and credential-management TLS 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。

Maintain the local RSA-PSS PS256 signing plugin, its public parser, refresh-engine composition, public JWKS, and strict core verification. Excludes portal or OIDC signer selection and remote KMS backends.

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。

Maintain portal public signing-key discovery at .well-known/jwks.json, reusable admin API directive parsing, opt-in admin private-key export, KMS key serialization, asymmetric issuer selection, base-path routing, and JWT verification tests. Excludes upstream OAuth provider JWKS consumption.

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。

Maintain authorization-policy OAuth login without an authentication portal, including provider selection, directive parsing, gatekeeper callbacks, opaque sessions, ACL checks, logout, lifecycle, TLS E2E tests, and embedding contracts. Upstream protocol and JWT verification remain with oauth-identity-provider.

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。

Maintain the local SQLite refresh-storage plugin, its public parser, atomic rotation and replacement, replay history, durability and lifecycle, and refresh-engine consumer tests. Excludes automatic portal backend selection and storage for OIDC or OAuth 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。

Maintain conditional authentication challenge policies, reusable authchal and user-transform FromDirectives parsers, safe claim substitution, GitHub ID/organization transforms, registered-factor inventory, passwordless WebAuthn selection, verified AMR access claims, and policy revalidation across portal login, refresh, OIDC, and direct 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。

Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming 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。

Partnership and co-marketing campaign planner — partner selection criteria, joint content strategy, cross-promotion plans, and co-branded assets. Use when "partnership", "co-marketing", "partner program", "cross-promotion", "joint venture", "co-branded", "partner campaign", or any request to plan or execute a marketing partnership.

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 webinar and event marketing — topic selection, promotion strategy, content production, registration flow, and post-event follow-up sequences. Use when "webinar", "event marketing", "virtual event", "live event", "workshop", "online event", or any request to plan, promote, or produce a webinar or marketing event.

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 and produce newsletter editions — content selection, subject lines, scheduling, and production with quality gates. Use when "newsletter", "plan newsletter", "newsletter content", "email newsletter", "weekly digest", or any request to create or manage a newsletter.

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。

Analytics and attribution setup — tracking plan, UTM conventions, dashboard design, and attribution model selection. Use when "analytics setup", "attribution", "tracking plan", "UTM", "marketing analytics", "dashboard setup", "measurement strategy", "how do I track", "which metrics", or any request to set up or improve marketing measurement and attribution.

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。