「deterministic」の検索結果

Agent fallback for C_BaseEntity_SetInterpolationPhase (auto-generated, category: func). Locate C_BaseEntity::SetInterpolationPhase in the CS2 client module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: C_BaseEntity_SetInterpolationPhase, C_BaseEntity::SetInterpolationPhase

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。

Agent fallback for CBaseCombatCharacter_OnKilled (auto-generated, category: func). Locate CBaseCombatCharacter::OnKilled in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseCombatCharacter_OnKilled, CBaseCombatCharacter::OnKilled

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。

Agent fallback for CBaseEntity_Activate (auto-generated, category: vfunc). Locate CBaseEntity::Activate in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_Activate, CBaseEntity::Activate

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。

Agent fallback for CBaseEntity_ctor (auto-generated, category: func). Locate CBaseEntity::CBaseEntity in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_ctor, CBaseEntity::CBaseEntity

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。

Agent fallback for CAM_Command_CommandHandler (auto-generated, category: func). Locate CAM_Command_CommandHandler in the CS2 client module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CAM_Command_CommandHandler, CAM_Command_CommandHandler

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。

Agent fallback for CBaseEntity_CollisionRulesChanged (auto-generated, category: vfunc). Locate CBaseEntity::CollisionRulesChanged in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_CollisionRulesChanged, CBaseEntity::CollisionRulesChanged

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。

Agent fallback for CBaseAnimGraph_GetAnimationController (auto-generated, category: func). Locate CBaseAnimGraph::GetAnimationController in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseAnimGraph_GetAnimationController, CBaseAnimGraph::GetAnimationController

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。

Agent fallback for CBaseEntity_dtor (auto-generated, category: func). Locate CBaseEntity::~CBaseEntity in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_dtor, CBaseEntity::~CBaseEntity

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。

Agent fallback for BotAdd_CommandHandler (auto-generated, category: func). Locate CCSBotManager::BotAddCommand in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: BotAdd_CommandHandler, CCSBotManager::BotAddCommand

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。

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

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 context files (CLAUDE.md, .claude/ tree, READMEs, docs) for broken references and verifiably stale content. Runs a deterministic offline link/path checker first, then a bounded semantic review where every finding must cite evidence. Reports findings; fixes only on request. Use when the user says "docs check", "/docs-checker", "check the docs for stale content", "audit CLAUDE.md", or when a scheduled cloud routine fires.

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。

Creates integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Generates DB-agnostic xUnit tests with deterministic seed data that validate behavior consistency across both database systems. Use when creating integration tests for a migrated project, generating test coverage for data access layers, or writing Oracle-to-PostgreSQL migration validation 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。

Verifies complex outputs with Verify. API responses, scrubbing non-deterministic values.

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。

Create safe, deterministic git worktrees for large or risky workstreams using the repository-owned runtime helper and Windows-safe defaults.

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 sequence complex implementation work into deterministic, testable steps for this repository. Use when the user asks for planning, roadmap breakdown, execution strategy, effort estimation, or multi-step delivery coordination across domains.

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 sequence complex implementation work into deterministic, testable steps. Use when the user asks for planning, roadmap breakdown, execution strategy, effort estimation, or multi-step delivery coordination across domains.

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。

Create safe, deterministic git worktrees for large or risky workstreams. Use when tasks are complex enough to warrant isolation from the main working tree.

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 after building a feature — explore it in a real browser to find what nobody predicted, then turn each finding into a deterministic test that guards it forever. Covers the agentic pass, what to generate vs hand-write, and how to skip honestly when a capability is missing.

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。

[BETA] AEM Cloud Service expert skill — migrate javax.inject.@Inject fields in Sling Model (@Model) classes to injector-specific annotations (@ValueMapValue / @OSGiService / @SlingObject). Self-discoverable (scan for @Model classes with field-level @Inject); the replacement is chosen deterministically from each field's declared type. Use for "fix @Inject in HeroModel.java", "modernize my Sling Models", or when scanning an AEM project for @Inject misuse. Detailed decision table, companion-annotation handling, import management, and file-level skip policy are in recipe.md. This skill is in beta. Verify all outputs before applying them to production projects.

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 deterministic seed data for development and testing with factory functions, realistic fixtures, and database reset scripts. Use for "data seeding", "test fixtures", "database seeding", or "mock data generation".

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 for sensemaking, frame revision, anomaly handling, questioning strategy, and ambiguity diagnosis with the Data/Frame model before action is chosen. NOT for deterministic classification, settled execution planning, or situations where the frame is already stable.

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。

Debugs recorded DAG lineage through historical inspection, deterministic decision replay when prerequisites hold, and clearly labeled counterfactual or live re-execution. Activate on "debug DAG", "replay execution", "inspect node state", "compare runs", or "execution diff". NOT for live monitoring (use dag-runtime + websocket-streaming), failure analysis (use dag-ops), or general code debugging.

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。

Diagnose when intuitive judgment, agent confidence, or expert routing can be trusted by classifying environment validity, feedback quality, and task-boundary fit. Use for confidence calibration, agent routing, expertise audits, and escalation design. NOT for deterministic implementation tasks, pure syntax debugging, or domains with explicit verifiable answers.

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。

Diagnose when intuitive judgment, agent confidence, or expert routing can be trusted by classifying environment validity, feedback quality, and task-boundary fit. Use for confidence calibration, agent routing, expertise audits, and escalation design. NOT for deterministic implementation tasks, pure syntax debugging, or domains with explicit verifiable answers.

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。