「table」の検索結果

Find and identify the CBaseTrigger::StartTouch and CBaseTrigger::EndTouch overridden virtual functions in the CS2 server binary using IDA Pro MCP. Use this skill when reverse engineering server.dll or libserver.so to locate the trigger-volume touch-list add/remove handlers by RTTI-walking CBaseTrigger's and CBaseEntity's primary vtables and diffing them slot-by-slot to find CBaseTrigger's overrides, then identifying which two overridden slots implement "add pOther to the touching-entities list" (StartTouch) versus "remove pOther from the touching-entities list" (EndTouch). Trigger: CBaseTrigger_StartTouch, CBaseTrigger_EndTouch

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Locate BuyState::m_doneBuying, exposed as BuyState::DoneBuying, in the loaded CS2 server binary. Emit a structmember offset, never a function or vtable slot. Trigger: BuyState_DoneBuying, BuyState::DoneBuying

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Locate BuyState::m_isInitialDelay, exposed as BuyState::InitialDelay, in the loaded CS2 server binary. Emit a structmember offset, never a function or vtable slot. Trigger: BuyState_InitialDelay, BuyState::InitialDelay

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。

Find and identify the CBaseEntity_GetChangeAccessorPathInfo_1 virtual function in CS2 binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or libserver.so to locate the second GetChangeAccessorPathInfo override by scanning CBaseEntity vtable slots near the known CBaseEntity_GetChangeAccessorPathInfo_2 slot for an implementation identical to CBaseEntity_GetChangeAccessorPathInfo_2. Trigger: CBaseEntity_GetChangeAccessorPathInfo_1

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Find and identify the CGameSceneNode::GetSkeletonInstance virtual function's vtable slot, plus the CBaseAnimGraph::m_skeletonInstance and CSkeletonInstance::m_animationController struct member offsets, in the CS2 server binary using IDA Pro MCP. Use this skill when reverse engineering server.dll or libserver.so to locate the scene-node accessor that returns a node's CSkeletonInstance* (or null if the node isn't a skinned model), and the two related struct-member offsets used by CounterStrikeSharp's animation-graph memory patches. Trigger: CBaseAnimGraph_m_skeletonInstance, CGameSceneNode_GetSkeletonInstance, CSkeletonInstance_m_animationController

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Use when the user wants to work with PDF files, including text/table extraction, merging, splitting, rotation, watermarking, creation, form filling, encryption/decryption, image extraction, or OCR for scanned PDFs.

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Finds what changed in Claude — docs, release notes, changelogs, GitHub and community posts on Claude Code, claude.ai, Cowork, the API and models — and turns each change into adopt rows for your setup, plus a fit card for a new model or feature and a monthly bench of your skills against public skill and plugin repos (build, adopt or skip). Trigger on what changed since a date or version, a weekly sweep, features worth adopting, a feature that broke unannounced, a stale model table, what a new model or feature is good for, or how your skills compare with popular or little-known skill and plugin repos; or say scoutwright (sweep, since, watch, adopt, fit, bench, sources, refresh). Outside research is researchscribe's; applying a row, skillwright's; config, rigwright's; schedules, agentwright's; tier picks, promptwright's.

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Paces a Claude subscription's usage — how fast to spend this week, what can still run at N% weekly, whether planned work fits before a reset. Reads the 5-hour, weekly, per-model and CI-minutes meters, sets a spend mode (normal, pace, turbo, overnight, work-day, owner-away, reset-eve) and re-cuts waves that don't fit. Also when something ate usage overnight, CI minutes run low, context runs high (compact or clear?), a new model needs a measured baseline, or which skill or subagent used tokens; or say pacewright (check, mode, fit, context, uba, baseline, spend, refresh). The plan table is dispatchwright's; the handoff, handoffwright's; one artifact's cost, skillwright's slim; the meter statusline, rigwright's; a scheduled check, agentwright's.

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Sets up Convex auth, identity mapping, and access control. Use for login, auth providers, users tables, protected functions, or roles in a Convex app.

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Plans Convex schema and data migrations with widen-migrate-narrow and @convex-dev/migrations. Use for breaking schema changes, backfills, table reshaping, or zero-downtime rollouts.

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 and generate Convex database schemas with proper validation, indexes, and relationships. Use when creating schema.ts or modifying table definitions.

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Builds reusable Convex components with isolated tables and app-facing APIs. Use for new components, reusable backend modules, integrations, or component boundary work.

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 and execute Convex schema migrations safely, including adding fields, creating tables, and data transformations. Use when schema changes affect existing 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。

Generates DDD Value Objects for PHP 8.5. Creates immutable, self-validating objects with equality comparison. Includes unit 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。

Write clear, testable acceptance criteria in Given-When-Then format following INVEST principles and BDD 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。

Generates DDD Domain Events for PHP 8.5. Creates immutable event records with metadata, past-tense naming. Includes unit tests.

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Generates CQRS Commands and Handlers for PHP 8.5. Creates immutable command DTOs with handlers that modify state. Includes unit tests.

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Analyzes PHP code for encapsulation violations. Detects public mutable state, exposed internals, Tell Don't Ask violations, getter/setter abuse, and information hiding breaches.

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。

Generates DTO (Data Transfer Object) for PHP 8.5. Creates immutable objects for layer boundaries, API requests/responses, and data serialization. Includes unit 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。

Write JavaScript code in the style of Dan Abramov, co-creator of Redux and React core team member. Emphasizes predictable state management, composition over inheritance, and developer experience. Use when building React applications or managing complex state.

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。

Law-driven abstraction protocol: evidence first, seam test, minimal algebra, executable law check.

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。

When the user requests information about academic benchmarks, datasets, or research papers, particularly in machine learning, deep learning, or logical reasoning domains. This skill enables systematic research of academic benchmarks by searching web sources, downloading and analyzing arXiv papers, extracting key metadata (number of tasks, training availability, difficulty levels), and compiling comparative summaries. It triggers on requests involving dataset comparisons, benchmark analysis, or academic paper research for table creation.

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Use when you need to apply Java concurrency best practices — including thread safety fundamentals, ExecutorService thread pool management, concurrent design patterns like Producer-Consumer, asynchronous programming with CompletableFuture, immutability and safe publication, deadlock avoidance, virtual threads and structured concurrency, scoped values, backpressure, cancellation discipline, and observability for concurrent systems. Part of the skills-for-java 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。

Protocol-based dependency injection for testable Swift code — mock file system, network, and external APIs using focused protocols and Swift 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。