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概要と使いどころ
Builds PIK and PIK toggle models with compound interest analysis, cash vs PIK election scenarios, and leverage impact assessment. Use when modeling PIK instruments, analyzing toggle mechanics, or evaluating accrued interest impact.
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 interest rate hedging programs with swap analysis, cap/floor evaluation, and hedge accounting documentation. Use when designing rate hedges, comparing hedging instruments, or analyzing hedge effectiveness.
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。
Processes LP interest transfer requests with GP consent evaluation, ROFR administration, and transfer documentation requirements. Use when managing LP transfers, evaluating transfer requests, or coordinating interest assignments.
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。
Coordinates tender offer execution with offer terms, election mechanics, proration, and transfer documentation for LP interests. Use when managing tender offers, structuring LP elections, or coordinating interest transfers.
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。
Navigates LP transfer requirements including GP consent, ROFR compliance, and partnership agreement transfer provisions. Use when managing LP transfers, obtaining GP consent, or navigating transfer restrictions.
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 pre-trade compliance with restricted list screening, position limits, and regulatory constraint verification. Use when running pre-trade compliance, screening restricted securities, or verifying trading limits.
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 distressed debt opportunities with recovery analysis, liquidity assessment, and potential restructuring outcomes. Use when screening distressed situations, analyzing stressed credits, or evaluating workout scenarios.
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 capital control regimes with repatriation restrictions, investment caps, and regulatory approval requirements. Use when assessing capital controls, evaluating repatriation risk, or analyzing investment restrictions.
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。
Specifies standards for RestController classes, including API route mappings, HTTP method annotations, dependency injection, and error handling with ApiResponse and GlobalExceptionHandler.
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。
API security testing and validation for REST/GraphQL/gRPC endpoints, contract testing, load testing, fuzzing, and Postman/Bruno/Hurl 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。
Plan a multi-stop tour route with waypoint optimization, drive/walk time estimation, and POI discovery along the route using OSM data. Covers geocoding, nearest-neighbor and TSP-based ordering, time/distance matrix calculation, and itinerary generation with points of interest. Use when planning a road trip or walking tour with multiple destinations, optimizing visit order to minimize travel time, discovering sites along a route, or comparing driving versus walking versus public transport 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。
Restore legibility to an auto-generated graph diagram that has outgrown its canvas - rendering at single-digit percent scale with sub-pixel labels. Covers the levers that measurably reduce layout units (source-level label wrapping, invisible chain links so unconnected nodes stop spreading into one row, per-cluster splitting, layout direction picked by rendering both and measuring) and the rejected ones (raising the render font is a no-op because layout engines measure in text units; a topology heuristic for direction regressed 13 of 38 diagrams). Use when a generated Mermaid/Graphviz/DOT diagram is too small to read; not for hand-authoring a small diagram.
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。
Implement AI-powered anomaly detection for operational metrics using time series analysis (Isolation Forest, Prophet, LSTM), alert correlation, and root cause analysis. Reduce alert fatigue by intelligently identifying true anomalies in system metrics, logs, and traces. Use when operations teams are overwhelmed by alert volume, when detecting complex multi-metric anomalies beyond static thresholds, when seasonal patterns make thresholds ineffective, or when needing to predict issues proactively before they impact users.
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。
Consistent agent behavior after restart — progressive identity loading, working context reconstruction from persistent artifacts, fresh-vs-continuation detection, calibration through centering and attunement, and identity verification for coherence. Addresses the cold-start problem where an agent must reconstruct who it is and what it was doing from evidence rather than memory. Use at the start of every new session, after a session interruption or crash, when agent behavior feels inconsistent with prior sessions, or when persistent memory and current context appear contradictory.
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 a tensegrity system by identifying compression struts and tension cables, classifying type (class 1/2, biological/architectural), computing prestress equilibrium, verifying stability via Maxwell's rigidity criterion, and mapping biological tensegrity (microtubules, actin, intermediate filaments). Use when evaluating tensegrity in architecture, robotics, cell biology, or any system with isolated compression in continuous tension.
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。
Verify which process actually owns a TCP port before assuming your fresh restart succeeded. Use when: (1) you killed an old server and started a new one but behaviour matches the OLD code/data, (2) `pkill -f pattern` returned 0 but old behaviour persists, (3) you embedded a new asset/binary but the served version is stale, (4) any "I just restarted X but I'm getting old results" situation. `pkill -f` matches against the process command line — if the live old process was started with `--port 0` (auto-assigned) and got the port you now want, the pattern won't match it. Always verify with `lsof -i :PORT` before debugging deeper.
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。
Restore working context saved earlier by /context-save. (gstack).
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。
"Interpret macroeconomic indicators including GDP, inflation, unemployment, interest rates, and exchange rates to assess economic health and predict trends. Use this skill when the user needs to evaluate a country's economic outlook, understand monetary/fiscal policy impacts, or contextualize business decisions within the macroeconomic environment — even if they say 'is the economy doing well', 'what do rising interest rates mean for us', or 'explain today's economic data'.".
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 hunting GitHub Actions cache poisoning vulnerabilities where an attacker can inject malicious content into the CI/CD cache and have it restored by a privileged downstream workflow. Trigger on: "cache poisoning", "actions/cache", "actions/setup-node", "node_modules cache", "GitHub Actions cache", "pnpm cache", "LRU eviction", "10GB limit", "Cacheract", "poisoned cache", "workflow cache attack", supply chain via CI cache, "ng-renovate", "cache stuffing", scheduled workflow cache restore, shared cache key, "hashFiles package.json", cross-workflow cache, PR workflow release workflow same key, "npm install prefer-offline", Cacheract, Gato-X, supply chain npm token.
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。
Identify and exploit Mass Assignment vulnerabilities in APIs. Use this skill when testing REST APIs or application forms that directly map user-supplied JSON or POST input to internal database objects. An attacker can inject undocumented variables (e.g., `is_admin`, `verified`) to illegally modify restricted properties.
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 filtering Django querysets - FilterSet, custom filters, Django REST Framework integration, explicit 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。
Use when building Django REST APIs with TurboDRF - model Meta configuration, role-based and field-level permissions, multi-tenant predicates, router wiring, management commands, settings, or troubleshooting
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 building Django REST APIs with django-ninja - Pydantic schemas, routers, CRUD endpoints, authentication, pagination, file uploads, async views, OpenAPI docs, or migrating from DRF
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。
Turn any still image into a professional motion graphic through the Novoads API on Seedance 2.5. Covers how to read a reference image, motion vocabulary for any image type — UI, marketing hero, flat-lay, key art, collage, product, character — the prompt clauses that control camera, timing, frozen regions and text fidelity, and the upload mechanics. Use whenever the user supplies an image and wants it animated, moving, or turned into video — including "animate this", "turn this into a motion graphic", "make this move", "この画像動かして", "モーショングラフィックにして", "I want the cards to pop in", "I want the bars to slide up", or when they describe motion beats for a static image. Also use when asked to write a Seedance prompt for an existing image. Do NOT use for text-to-video with no source image, restyling existing footage (this skill takes no video input), cloning a reference video (use clone-video-ad), or a product photo that should seed a new scene rather than move as-is (use novoads-api).