2.3万 件 ・ 関連度順
概要と使いどころ
Find and identify the CCSGameRules__sm_mapGcBanInformation global variable in CS2 binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or libserver.so to locate the GC ban information map structure by decompiling CCSPlayerController_ResourceDataThink's sub-function (Linux) or searching for the "Notification about user penalty" string (Windows).
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。
Locate CBasePlayerController::OnSimulateUserCommands in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "CBasePlayerController::OnSimulateUserCommands" (symbol CBasePlayerController_OnSimulateUserCommands). This is a non-virtual function - emit a byte signature (func_sig), not an offset. Locate it via cross-references, distinctive constants/strings in its body, or callers of related symbols; verify by decompilation before committing to a candidate. Trigger: CBasePlayerController_OnSimulateUserCommands, CBasePlayerController::OnSimulateUserCommands
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。
Locate CBaseIssue::CountPotentialVoters in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "CBaseIssue::CountPotentialVoters" (symbol CBaseIssue_CountPotentialVoters). This is a non-virtual function - emit a byte signature (func_sig), not an offset. Locate it via cross-references, distinctive constants/strings in its body, or callers of related symbols; verify by decompilation before committing to a candidate. Trigger: CBaseIssue_CountPotentialVoters, CBaseIssue::CountPotentialVoters
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。
Locate BuyState::OnUpdate in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "BuyState::OnUpdate" (symbol BuyState_OnUpdate). This is a non-virtual function - emit a byte signature (func_sig), not an offset. Locate it via cross-references, distinctive constants/strings in its body, or callers of related symbols; verify by decompilation before committing to a candidate. Trigger: BuyState_OnUpdate, BuyState::OnUpdate
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 a new find-XXXX preprocessor Python script from scratch (no existing SKILL.md), add configs/<GAMEVER>.yaml skill and symbol entries. Covers xref-string-based and LLM_DECOMPILE-based discovery patterns. Use when a GitHub issue or user instruction specifies a new function to find.
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。
Convert an existing find-XXXX SKILL.md into a preprocessor Python script, updating configs/<GAMEVER>.yaml and removing the old SKILL.md. Covers xref-string-based and LLM_DECOMPILE-based discovery 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。
Create a GitHub pull request from staged task changes or an already-committed current branch. Deliver source/config/ reference changes together with their computed source-owned `bin_artifacts` closure. PR validation routing is owned by the default-branch trusted workflow; snapshots, gamedata, and manifests are Release-derived only.
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。
Locate CBaseEntity_EmitSoundFilter_SoundName in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "CBaseEntity_EmitSoundFilter_SoundName" (symbol CBaseEntity_EmitSoundFilter_SoundName). The gamedata consumer stores a BYTE SIGNATURE for this entry - ALWAYS emit the func schema (func_sig), never vfunc fields. The function may be virtual; locating it via the owning class vtable (RTTI) is a fine strategy, but once found, read its head bytes and emit func_sig. Locate via cross-references, distinctive constants/strings, callers of related symbols, or vtable slots; verify by decompilation before committing. Trigger: CBaseEntity_EmitSoundFilter_SoundName, CBaseEntity_EmitSoundFilter_SoundName
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。
Best practices for Remotion - Video creation in React
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。
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against 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。
Use when implementing features or fixing bugs with strict Test-Driven Development (TDD). Activate for coding tasks that require new functionality, refactoring, or comprehensive test coverage, especially when the user mentions TDD or Test Driven 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。
Three.js post-processing - EffectComposer, bloom, DOF, screen effects. Use when adding visual effects, color grading, blur, glow, or creating custom screen-space shaders.
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 starting creative work (features, components, functionality, or behavior changes) to clarify user intent, requirements, and design before implementation.
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 Anthropic brand colors and typography to artifacts that need a consistent look-and-feel. Use when brand colors, style guidelines, visual formatting, or company design standards apply.
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 creative, research-backed domain name ideas and checks availability with competitor analysis, pattern recognition, and quality scoring. Use when brainstorming brandable domains for a product or 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。
Apple Human Interface Guidelines for Apple Vision Pro. Use when building spatial computing apps, implementing eye/hand input, or designing immersive experiences. Triggers on tasks involving visionOS, RealityKit, spatial UI, or mixed reality.
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。
Apple Human Interface Guidelines for Apple Watch. Use when building watchOS apps, complications, or workout features. Triggers on tasks involving Watch UI, Digital Crown, glanceable interfaces, or wrist-based interactions.
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。
Search domains, compare prices, find promo codes, get purchase recommendations. Use when user wants to buy a domain, check prices, or find domain deals.
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。
Collect and submit developer feedback to the LiveAvatar team. Use when: (1) A LiveAvatar integration is done, working, finished, or complete, (2) The user says "it works", "we're done", "that's it", "ship it", (3) The user is frustrated, stuck, or giving up — "this is broken", "this doesn't work", "I'm stuck", "I give up", "this is frustrating", "I want to report an issue", (4) The user explicitly asks to give feedback, report a bug, file an issue, or share a suggestion about LiveAvatar, (5) You've seen 3+ failed attempts at the same integration step, (6) You just finished writing or generating LiveAvatar integration code for the user.
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。
Enables Claude Code to collaborate with OpenAI Codex CLI on Windows. Use this skill when the user wants to get a second opinion from Codex, compare approaches between Claude and Codex, or leverage both AI assistants for collaborative problem-solving. This skill supports both non-interactive mode (automatic response retrieval) and interactive mode (visual pane splitting with tmux).
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。
複数の媒体（レポート・コード等）にまたがる大学の課題を，出題文・採点基準に照らして過不足なく仕上げる．要求を媒体へ割り当て，assignment プラグインの対応スキルへ委譲し，媒体間の継ぎ目を走査して一つの提出物として確定する．「この課題をやって」「課題を完璧に仕上げて」など，課題まるごとを任されたときに使う（単一媒体なら /assignment:report ・ /assignment:program を直接使う）．
Best practices for Remotion - Video creation in React
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。
Rebuild a degraded AI image to remove crunchy textures and repeated-edit artifacts while preserving identity, style, and composition. Use for clean remakes, not ordinary retouching or upscaling.
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。
任意の自動コンパクションではなく、論理的な間隔でタスクフェーズを通じてコンテキストを保持する手動コンテキストコンパクションを提案。