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概要と使いどころ
Use this skill when the user needs Obsidian runtime debugging or developer introspection through official desktop Obsidian CLI developer commands, including devtools, console/errors capture, DOM/CSS inspection, screenshots, CDP calls, and controlled eval. Do not use for regular note CRUD, task/property editing, Sync/Publish administration, or community tooling outside the official CLI.
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 writing Swift code for Apple platforms - iOS, macOS, visionOS. Covers Swift 6 concurrency, actors, Sendable, async/await, SwiftUI, MVVM architecture, Metal GPU programming, RealityKit ECS, visionOS scenes, interpolation/animation, advanced collection types, property wrappers, Combine bridging, error handling, testing, and API design 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。
Use this skill when applying VCSDD to TypeScript/JavaScript projects. Provides fast-check property testing patterns, Stryker mutation testing, and vitest/jest integration for the VCSDD pipeline.
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 this skill when applying VCSDD to Python projects. Provides hypothesis property testing patterns, mutmut mutation testing, and pytest integration for the VCSDD pipeline.
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。
Exploit PHP object serialization vulnerabilities (Insecure Deserialization). This skill details how to identify unserialize() injection points and construct malicious serialized objects using Property Oriented Programming (POP) chains to achieve Remote Code Execution (RCE).
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。
Extract sensitive training data (PII, API keys, intellectual property, or code) directly from a deployed Large Language Model (LLM). This AI Red Teaming skill focuses on forcing models to regurgitate memorized, unredacted data from their massive internet-scraped datasets through repetition attacks, prefix continuation, and context window manipulation.
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。
Extract sensitive training data and internal capabilities from AI models through repeated programmatic querying. Use this skill when testing LLMs and ML models for data privacy leaks, intellectual property exposure, or unintended memorization. Covers membership inference, prompt extraction, training data reconstruction, and API boundary testing.
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。
Deep API security assessment beyond surface scanning. Covers the full OWASP API Security Top 10 (2023): Broken Object Level Authorization (BOLA / IDOR), Broken Authentication, Broken Object Property Level Authorization (mass assignment + excessive data exposure), Unrestricted Resource Consumption, Broken Function Level Authorization (BFLA / vertical privilege escalation), Unrestricted Access to Sensitive Business Flows, Server-Side Request Forgery via API parameters, Security Misconfiguration, Improper Inventory Management (shadow/zombie/deprecated endpoints, v1/v2 drift), and Unsafe Consumption of third-party APIs. Works across REST, GraphQL, gRPC, SOAP, and MCP servers. Discovers APIs from OpenAPI/Swagger specs, GraphQL introspection, gRPC reflection, .well-known endpoints, JS bundles, and traffic capture. Uses kiterunner, ffuf, schemathesis, restler-fuzzer, openapi-fuzzer, graphql-cop, clairvoyance, batchql, inql, jwt_tool, postman, mitmproxy, and manual http(action="request", ...) payloads. Every technique includes actual payloads, commands, and verification logic. Chains from /pentester or /codebase when API endpoints are discovered, chains into /web-exploit when classic injection points are found in API parameters, chains into /post-exploit when RCE is achieved, and chains into /ai-redteam when an LLM/AI endpoint is discovered (chat APIs, completion endpoints, RAG search, agentic tool-use, MCP servers).
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。
Frappe customization-surface guidance covering Custom Field, Property Setter, Client Script, Server Script, Workspace, Web Page, Page, Print Format, Report, Dashboard, Workflow, Role, Notification, Webhook, and related builder/admin DocTypes. Use when choosing or changing Frappe customization layers.
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。
Design token architecture - primitive/semantic/component tiers, naming grammar, CSS custom property delivery, and DTCG build pipelines
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。
CSS animation patterns - transitions, keyframes, scroll-driven timelines, @property, compositor-friendly properties, prefers-reduced-motion
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 tests from Allium specifications. Use when the user wants to propagate tests, generate test files from a spec, write tests for a specification, create property-based tests, produce state machine tests, check test coverage against spec obligations, or understand what tests a specification requires.
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 a task needs the judgment of a senior property & casualty claims adjuster — scoping a water-damage or auto-collision loss, deciding total-loss vs. repair on a damaged vehicle, drafting or checking a reservation-of-rights letter, deciding when a claim needs an SIU fraud referral vs. a routine recorded statement, or working out whether a coverage dispute should go to appraisal or litigation. A reasoning aid, not licensed adjusting authority.
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。
End-to-end affordable housing compliance and risk audit: analyze property management and waitlist operations, predict eviction risk with early warning models, review Fair Housing Act and HUD regulatory compliance, and model rent burden and subsidy accuracy across the portfolio..
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 residential rental property as an investment — 1-4 unit single-family / duplex / triplex / quadplex, condo, townhome. Triggers: "rental analysis", "rental underwriting", "cap rate calculator", "BRRRR", "DSCR loan".
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 real estate investment software for IRR/NPV/cap rate/cash-on-cash return calculations, pro forma income modeling (GPR, vacancy, rent growth, NNN pass-throughs), equity waterfall and promote structures, debt modeling (fixed/ARM/IO/construction loans).
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 MLS-compliant property listing copy in five length variants (tagline, MLS-short ≤250 char, MLS-long ≤4000 char, marketing description ~600-800 words, social caption) PLUS schema.org RealEstateListing JSON-LD for SEO/AEO syndication..
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 a tenant management system for eviction prevention and risk prediction. Triggers: building or reviewing property management platforms, affordable housing systems, or tenant services applications.
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。
Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need to programmatically configure Google Analytics accounts, provision properties, manage data retention, configure Measurement Protocol secrets, or manage Firebase and Google Ads links.
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。
F# testing patterns with xUnit, FsUnit, Unquote, FsCheck property-based testing, integration tests, and test organization best practices.
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。
You are a construction permitting specialist. Help contractors, developers, and property owners navigate the building permit process from application through final inspection.
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。
Drafts a state-court complaint for breach of a real property purchase agreement. Triggers when the user needs to initiate a lawsuit for breach of a real estate purchase contract, purchase agreement breach, or buyer/seller contract dispute. Covers caption, jurisdiction/venue, party allegations, chronological facts, contract elements, damages, and prayer for relief.
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。
Drafts a U.S. state-court complaint to establish the true boundary line between adjoining properties, with optional trespass/encroachment claims. Trigger when a user needs to initiate litigation over conflicting property descriptions, ambiguous deed language, or unauthorized encroachments by an adjoining landowner.
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。
Drafts Brownfields Agreements for contaminated-property transactions under CERCLA, EPA brownfields programs, and state voluntary cleanup programs. Structures BFPP liability protections, All Appropriate Inquiries documentation, remediation obligations, institutional controls, cost allocation, and long-term stewardship covenants. Use when drafting brownfields purchase agreements, prospective purchaser agreements, voluntary cleanup MOAs, or environmental covenant frameworks.
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。