「registry」の検索結果

Score your codebase 0-100 across complexity, coupling, cohesion, test coverage, documentation, churn hotspots, dependency health, and lint/type safety. Triggers: 'how healthy is this codebase', 'check code quality', 'score my project', 'find tech debt hotspots'.

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。

Four-phase skill for planning and executing large-scale codebase migrations using full-context AI analysis. Produces an impact map, ordered batch plan, subagent execution protocol, and cross-codebase validation pass. Optimized for Fable 5's 1M-token context window.

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 commodity pricing and trading systems including forward curves, option models, position management, risk metrics, and regulatory reporting. Triggers: 'review pricing models', 'audit trading system', 'evaluate VaR implementation', 'check commodity risk management'.

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。

Competitive intelligence and market positioning analysis. Researches competitors, compares features, pricing, and tech stacks, then produces a prioritized gap analysis with actionable roadmap..

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 compliance operations for regulatory change tracking, control mapping, policy management, audit readiness, and training compliance. Triggers: 'audit compliance program', 'assess GRC platform', 'review regulatory change management', 'check control framework'.

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 consumer modeling systems for purchase prediction, lifetime value estimation, multi-touch attribution, brand affinity, and switching cost analysis. Triggers: 'evaluate CLV model', 'review purchase prediction', 'audit attribution model', 'assess customer lifetime value'.

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 content cannibalization on a site — multiple URLs ranking (or impressing) for the same query, splitting click-through, diluting authority, and confusing Google about which URL is canonical for the intent..

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 content engagement metrics, audience retention, attribution models, A/B test results, and recommendation engine effectiveness. Triggers: 'audit content metrics', 'evaluate recommendation engine', 'review retention curves', 'assess content A/B 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。

Audit contract management codebases for clause extraction accuracy, obligation tracking completeness, risk scoring model quality, renewal management, SLA monitoring, liability exposure, force majeure handling, and IP assignment detection..

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。

Analyzes infrastructure costs at 1K-100K user scales by reading the actual codebase, auto-detecting cloud providers, modeling per-action costs, and projecting total monthly spend with optimization recommendations.

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 construction project management software for budget tracking accuracy, earned value management (EVM) formula correctness, risk factor modeling, schedule-cost integration, change order workflow completeness, and early warning detection..

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 an institutional-grade commercial real estate underwriting model — input schema (T-12 income, T-3 trailing, rent roll, debt terms, exit assumptions), calc engine (Cap Rate, NOI, Cash-on-Cash, IRR, DSCR, Debt Yield, ROI, Equity Multiple, levered & unlevered returns).

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 credit risk modeling software for scoring algorithm accuracy, regulatory compliance (ECOA, FCRA, SR 11-7), bias and disparate impact testing, model governance lifecycle, and explainability..

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 mental health crisis monitoring systems for risk signal detection accuracy, escalation protocol completeness, safety planning integration, crisis team coordination, and ethical guardrail enforcement..

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 emergency and crisis triage systems for call prioritization accuracy, resource dispatching algorithm quality, severity classification model evaluation, response time optimization, geographic coverage analysis, mutual aid protocol readiness, and post-incident review 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。

Audit precision agriculture and crop management software for yield prediction model accuracy, soil analysis integration, irrigation optimization algorithms, pest and disease detection pipelines, satellite and drone imagery processing, weather data integration.

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 curriculum management software for learning outcome alignment, pacing guide optimization, standards coverage mapping (Common Core, NGSS, state standards), differentiation support, assessment design quality, and content gap detection across grade levels and subjects..

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 government benefits processing software for eligibility determination, application workflow efficiency, document verification, error rates, appeal tracking, multi-program coordination, and ADA/Section 508 compliance..

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。

Discover shadcn-compatible components and registries across the entire ecosystem before writing any custom UI. Use PROACTIVELY before building tables, forms, modals, animations, dashboards, auth pages, or any UI component. Use when the user says "find a component for...", "is there something for...", "search registries", "what exists for...", or asks about shadcn blocks, Magic UI, Aceternity, ReUI, Animate UI, DiceUI, Tailark, AI Elements, or any other shadcn-compatible registry. Complements the official shadcn skill by surfacing registries beyond the user's configured `components.json` — use when exploring what's available to add, not just what's already installed.

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。

Presentation/Core/Engine split control plane — the canonical entry point for any work decomposing the Yuzu server into three binaries (presentation · core · engine) per ADR-0031-presentation-core-engine-decomposition / ADR-0032 (the admission interlock) / ADR-0033 (access-control spine). Use when the user says "/split", "/pce-split", "/decomposition", asks to plan or implement a split workstream (WS-A*, WS-B*, WS-X*), asks "what's our gap to the presentation/core split" or "is it safe to extract presentation/the engine yet", asks to audit split readiness, or starts work touching the seam (handlers calling stores directly, the INV-31-4 contract test, the Drogon port, `server/presentation` or `server/engine`, the `uce` DB grants, component service identity, or the ADR-0032 admission/grant/audit substrate — `use_case_run_id`, the release log, the capability-declaration registry).

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。

High Availability control plane for Yuzu — the canonical entry point for any work on ADR-2002 (active-active server tier, gateway-fronted routing, Postgres-backed coordination seam, HA Postgres storage). Use when the user says "/ha", "/high-availability", "/ha-matrix", asks to plan or implement an HA workstream (WS-0…WS-14), asks "what's our HA gap" or "is it safe to run a second replica yet", asks to audit HA readiness, or starts work touching the coordination seam (leader election / fenced epochs / transactional outbox), gateway intra-cluster routing, shared `AgentRegistry` presence, PKI/CA HA, or the `deploy/docker/*ha*` / `scripts/ha/` surface. The skill bundles the two-axis model, the safe-to-scale gate, the delivery matrix (current-state + reviewers + status), the per-workstream workflow, and the load order for the routed reference docs.

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。

Designs, deploys, and secures Google Cloud Agent Gateway solutions. Use when the user needs to configure multi-agent security, ingress (CLIENT_TO_AGENT), or egress (AGENT_TO_ANYWHERE) patterns involving Model Armor, IAP, and Agent Registry. Don't use for general Cloud Load Balancing or basic VPC setup not related to Agent Gateways.

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。

Troubleshoots Google Cloud Gemini Enterprise Agent Platform issues (Agent Gateway, Registry, Identity, Policies, Model Armor, Identity-Aware Proxy (IAP)). Use when agent requests fail with 403 (especially unauthorized egress), Agent Runtime queries return 500, or gateway/IAP logs show permission errors. Don't use for general Google Cloud Identity and Access Management (IAM) debugging or networking issues unrelated to the Agent Platform stack.

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。

Understand what SKMTC is, how its engine works, and the architectural invariants — for agents building or extending infrastructure *around* SKMTC rather than authoring generators or running the CLI. Covers the three-phase pipeline, the host/Worker boundary, cross-generator coordination, the manifest, the attribution / gen-maps (provenance) subsystem, the package graph, the dependency substrate, and the design decisions that make SKMTC behave unlike a typical codegen tool. Use this skill when the user asks "what is SKMTC", "how does the SKMTC engine work", "explain the SKMTC architecture", or is building platform infrastructure around SKMTC — a hosted generate API, a schema or generator registry, tracing or provenance tooling, a web app or SaaS that wraps the engine, or platform-level CI integration. This skill is the system mental model. It does NOT cover authoring generators (→ skmtc-generator), running CLI commands (→ skmtc-cli), or diagnosing broken runs (→ skmtc-debug).

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。