2,369 件 ・ 関連度順
概要と使いどころ
Design the smallest viable test to validate or invalidate a critical assumption. Based on Torres's assumption testing framework, organized by Gilad's AFTER model (Assessment → Fact-Finding → Tests → Experiments → Release Results).
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 the Microsoft.Extensions stack correctly across Generic Host, dependency injection, configuration, logging, options, HttpClientFactory, and other shared infrastructure patterns.
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, debug, modernize, or review ASP.NET Core applications with correct hosting, middleware, security, configuration, logging, and deployment patterns on current .NET.
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 HTMLHint in .NET repositories that ship static HTML output or standalone frontend templates. Use when a repo needs a focused CLI lint gate for DOM structure, invalid attributes, and basic HTML correctness checks on static pages.
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 ESLint in .NET repositories that ship JavaScript, TypeScript, React, or other Node-based frontend assets. Use when a repo needs a configurable CLI lint gate for frontend correctness, import hygiene, unsafe patterns, or framework-specific rules.
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 and review Blazor applications across server, WebAssembly, web app, and hybrid scenarios with correct component design, state flow, rendering, and hosting choices.
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 uncommitted changes need to be split into atomic, conventional commits ordered for review. Triggers on "commit this", "make commits", "clean up commits", "commit the changes". In Hedgehog, each Loop step is already meant to be its own commit — this skill matters most when a Correction Protocol fast-forward touches several steps at once and those fixes need splitting back into per-step commits.
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。
Reviews code implementations for correctness, security, maintainability with confidence-scored findings (converted from agent)
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 verifying that a model in the imp inference engine produces coherent output without repetition loops, token-stuck states, or state corruption across turns or streams. Triggers on "degenerates", "check degeneration", "repetition loop", "own own own", "stuck token", "empty content", "multi-turn regression", "does it still work", "NIAH", and after enabling CUDA graphs / changing forward pass / MoE routing / KV cache or KV dtype / GDN state or scan / sparse attention / PDL / speculation (MTP, n-gram) / ragged prefill / batched-decode kernels (smallm, producer quantize) / FA2 softmax.
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。
Calculates borrower debt capacity with cash flow coverage, leverage multiples, and stress-tested servicing ability. Use when sizing debt facilities, analyzing leverage capacity, or determining optimal capital structure.
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 credit underwriting with financial ratio analysis, cash flow quality assessment, and downside scenario modeling. Use when underwriting credit, analyzing borrower quality, or writing credit opinions.
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 country-level investment risk with political stability, rule of law, corruption indices, and expropriation history analysis. Use when evaluating country risk, assessing political exposure, or scoring sovereign investment environments.
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 credit committee packages with borrower analysis, risk assessment, structuring proposal, and recommendation documentation. Use when preparing credit committee materials, presenting loan opportunities, or documenting credit decisions.
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 secondary-focused credit facilities with leverage terms, borrowing base mechanics, and portfolio pledging requirements. Use when analyzing secondary lending, structuring portfolio leverage, or evaluating fund finance options.
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 rating agency methodology application with loss model inputs, correlation assumptions, and tranche-level credit assessment. Use when analyzing structured product ratings, comparing agency methodologies, or assessing rating sensitivity.
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 financial and incurrence covenant packages with headroom analysis, definition review, and covenant-lite comparison. Use when analyzing loan covenants, negotiating covenant levels, or assessing borrower flexibility.
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 credit agreement provisions with borrower flexibility, lender protections, and documentation comparison analysis. Use when reviewing credit agreements, analyzing doc terms, or comparing loan documentation.
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。
Check that a locally running site's WebMCP tools register and execute correctly. Use to verify WebMCP tools, confirm document.modelContext tools appear on the right pages and auth states, or test @nekuda/webmcp-sdk tools in a browser.
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 health checks for framework artifacts modified during a pipeline. Validates hook syntax, security patterns (SE-01/SE-02), skill wiring, agent consistency, and routing correctness. Invoked as the final pipeline step when framework artifacts were created, modified, or deleted.
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。
Rust programming expert including ownership, borrowing, lifetimes, async Tokio patterns, error handling, trait system, performance optimization, testing, and production systems development
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 analyzing published content (blog posts, social media, newsletters) for sentiment, structural quality, hook effectiveness, readability, topic classification, and engagement correlation. Invoke for daily post analysis, content audits, or engagement driver identification.
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。
Applies general rules for Convex development, emphasizing schema design, validator usage, index-first query patterns, function registration, and correct handling of system fields.
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。
Token-range severity zones (Green/Yellow/Orange/Red/Critical) with detection checklist, early warning indicators, and corrective routing actions for context window degradation
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。