「conditions」の検索結果

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code 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。

Dasel v3 query patterns for InstallAnywhere .iap_xml installer definitions — use when querying action sequences, discovering variables, resolving platform conditions, navigating panels, or comparing installer variants. Files are 2.5+ MB, 65,000+ lines — too large for context reads, requires structural dasel queries.

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。

Track and analyze US government shutdown liquidity impacts by monitoring TGA (Treasury General Account), bank reserves, EFFR, and SOFR data from FRED API. Use when user wants to (1) analyze current or past government shutdown effects on financial markets, (2) track liquidity conditions during fiscal policy disruptions, (3) assess "stealth tightening" effects, (4) compare shutdown episodes across different monetary policy regimes (QE vs QT), or (5) generate liquidity stress reports with historical context. Recommended usage frequency is weekly on Wednesdays after TGA/reserve data releases.

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。

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code 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。

Turns a theory into falsifiable, pre-registerable hypotheses, covering the DGP and DAG, identification, SATE versus PATE, counterfactual and directional framing, named estimands, justified SESOIs, the choice among NHST, equivalence, interval, and minimum-effect tests, scope conditions, and primary, secondary, and exploratory tiers. Use when the user asks to turn a research question or theory into hypotheses, whether a prediction is falsifiable, what the estimand is, or how to predict a null. Framing goes to narrative-building, the plan to pre-registration-writing.

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。

Turns a theory into falsifiable, pre-registerable hypotheses: DGP and DAG, identification, estimands, SESOIs, test choice among NHST, equivalence, and minimum-effect tests, scope conditions, and hypothesis tiers. Use when converting a research question into testable predictions or predicting a null.

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。

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code 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。

Diagnoses ArgoCD application sync failures and degraded states using the ArgoCD REST API and argocd CLI. Queries /api/v1/applications/{name} for sync status, resource health, and operation state. Provides automated remediation steps for OutOfSync, Degraded, and Missing resource conditions.

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。

Monitors ArgoCD application sync status via the ArgoCD REST API and argocd CLI. Detects OutOfSync conditions, tracks sync wave progress, and alerts on failed sync operations with detailed resource diff analysis using argocd app diff.

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 code simulation engine that spawns ghost personas to review your code before it ships. Each ghost walks through your code line-by-line from a different failure perspective: The Adversary (race conditions, double-submit, idempotency), The Enterprise Edge (business logic gaps, multi-currency, B2B tax exemptions, locale), Chaos Monkey (timeouts, partial failures, network partitions, OOM). Produces a chaos timeline, structured bug report with severity ratings, and three resolution tiers (quick fix, robust architecture, generated test suite). Use this skill whenever the user mentions code review, PR review, "find bugs", "what could go wrong", "will this break", "is this safe", "stress test", "edge cases", design review, pre-merge check, dry run, chaos test, or wants a second opinion on any code — even if they don't explicitly ask for "ghost personas" or "simulation". Also trigger when someone pastes a code snippet with any question about its correctness or safety.

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 real user interviews aren't possible (solo/hobby/dogfood projects) but persona work is still needed. Enforces epistemic discipline: adversarial spectrum, pre-committed stop conditions, speculation tagging. NOT a substitute for /mycelium:user-interview when real users are available.

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。

Builds regime detection models with hidden Markov, threshold, and Bayesian change-point methodologies for strategy adaptation. Use when modeling regime changes, detecting market shifts, or adapting strategies to market conditions.

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。

Structures preliminary transaction terms including price, consideration, conditions, reps/warranties, and indemnification. Use when drafting LOIs, preparing term sheets, or summarizing negotiated deal points.

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。

Assesses market receptivity for equity issuance with sector sentiment, volatility, and comparable recent offering performance. Use when timing equity offerings, analyzing market windows, or evaluating issuance conditions.

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。

Structures industry-level credit assessment with cyclicality analysis, regulatory risk, and sector-specific credit metrics. Use when analyzing industry credit conditions, evaluating sector risk, or building industry-level views.

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 concession terms with revenue sharing, performance requirements, hand-back conditions, and termination provisions. Use when evaluating concessions, analyzing PPP contracts, or assessing concession economics.

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。

Synthesizes DCM market activity with new issue spreads, fund flows, and market technical analysis for issuance timing. Use when analyzing debt market windows, timing bond issuance, or assessing market receptivity.

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。

Evaluates IG bond market conditions with spread analysis, maturity curve optimization, and investor demand assessment. Use when advising IG issuers, analyzing credit spreads, or timing IG bond offerings.

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。

Evaluates bond market liquidity with bid-ask spread analysis, dealer inventory assessment, and electronic trading penetration. Use when analyzing bond liquidity, assessing execution conditions, or evaluating venue 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。

Monitors market regime signals with volatility clustering, correlation dynamics, and liquidity condition assessment. Use when analyzing market regimes, detecting regime shifts, or adjusting strategy for market conditions.

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。

Evaluates middle-market lending environment with competition analysis, spread trends, and deal structure evolution. Use when analyzing middle-market lending, tracking competitive dynamics, or assessing market conditions.

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。

Evaluates optimal leverage with WACC minimization, rating impact, and financial flexibility assessment across market conditions. Use when optimizing capital structure, analyzing target leverage, or evaluating rating implications.

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。

Monitors EM capital flow dynamics with FDI, portfolio flows, reserve changes, and balance of payments analysis. Use when analyzing EM flows, tracking capital movement, or assessing EM investment conditions.

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 MySQL queries, perform CRUD operations, and manage transactions using @axiosleo/orm-mysql. Use when writing database queries, building where conditions, inserting/updating/deleting rows, managing transactions, or working with the ORM query builder in this project.

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。