1.4万 件 ・ 関連度順
概要と使いどころ
Leveraged-prototype dev loop (`pulp loop`) — focus marker plus normal watch/rebuild loop, with AOT analyzer guidance and deferred ar-swap/PR-monitor playbook. Use when porting an existing UI/bundle to Pulp, doing visual/behavioral parity work, or batching upstream framework gap fixes.
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Optional AAX support for Pulp, including developer-supplied Avid SDK setup, CMake enablement, DigiShell/AAX Validator workflows, and local AAX builds on macOS or Windows.
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Work with Pulp's SDF / MSDF / PSDF glyph atlases — building, sampling via SkSL, and the shared text-layout helpers.
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Prepare an outside contribution to Pulp or Forge that a maintainer can land with minimal rework — routing (Core vs Forge), local build and test on a plain Mac, the checks that are worth running without Shipyard/Tart/VMs, and the handoff format. Use when contributing without write access or without the maintainer CI fleet.
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Update Pulp's pinned Skia, Dawn, and optional V8 prebuilts as one milestone-matched render-toolchain release. Use for requests such as "update Skia/Dawn", "move to chrome/mNNN", "find the matching V8", "update the GPU toolchain", or "use the Skia/Dawn/V8 tuple that goes together". Distinguishes milestone-matched V8 releases from v8-builder's newer weekly LKGR releases, verifies exact upstream provenance and asset hashes, updates every Pulp mirror, and runs the provider-identity/ODR gates.
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Android platform development for Pulp — NDK cross-compilation, Oboe audio, Dawn/Skia GPU rendering, JNI bridge, touch interaction, emulator workflows, and end-to-end smoke validation. Covers build, deploy, debug, and the gotchas discovered during bringup.
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Optional Moonbase license-activation integration for Pulp — load-bearing compile settings, OpenSSL-at-configure caveat, the moonbase-pulp User-Agent contract, audio-thread gating + click-free fade, async start/pump, the interactive native (no-WebView) activation editor (frame-tick polling + the don't-rebuild-mid-event trap), loadable plugin/standalone formats, and headless screenshots.
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Judge whether a change made things better with demonstrable proxy measures tied to the mechanism it targets, not wall-clock time. Load before choosing acceptance measures for any before/after or A/B claim — CI and fleet speed-ups, build speed, DSP/audio quality, render fidelity. Each proxy names its data source, detection floor and sample size, and every zero is paired with a control on the same instrument.
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Step-by-step guide for building a JUCE audio plugin from scratch. Use when the user asks "how do I create a JUCE plugin", "set up a JUCE project", "add parameters to my JUCE plugin", "package my VST3", or "how do I wire up APVTS". Trigger on phrases like "create a JUCE plugin", "JUCE CMake setup", "AudioProcessor skeleton", "add APVTS parameters", or "codesign my plugin on macOS".
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三大闭环日常健检（v2.0）。快速读取系统状态文件（约1分钟），从三个层次输出健康仪表盘：①运营指标层（PENDING-EXPERIENCES/碎片积压/一致性检查日期/cascade/PENDING-SKILLS）②沙盘状态层（sandboxes/目录的 validated/draft/gap-found 分布）③D0覆盖率层（role-* Skills 有多少已有认知根行）。触发词：「三大闭环健康检查」「全系统健康报告」「整体系统健康」「三个闭环都健康吗」「三大闭环状态怎么样」。⚠️ 本 Skill 为快速只读健检，无 Full 模式。深度场景沙盘验证→skill-closure-verifier-meta；生成场景沙盘→scenario-sandbox-builder；单一Loop专项→对应专项Skill。
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从现有 role-* Skills 动态发现所有任务场景，为每个场景生成包含「认知根 D0 节点」和「认知反馈节点」的完整大闭环沙盘文件（status: draft），供 skill-closure-verifier-meta 做 Phase 2 验证。⚠️ 与 skill-sandbox-expander 的区别：后者从已有域的缺口扩充；本 Skill 从零发现所有场景，生成覆盖全体系的初始沙盘库。触发词：「场景沙盘生成」「为当前体系生成场景沙盘」「发现所有任务场景并建沙盘」「场景化沙盘覆盖」「从零建沙盘库」。
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Skill体系演进规划 Skill。基于CO-BUILD-LOG（决策轨迹）、PENDING-EXPERIENCES（踩坑模式）、PENDING-SKILLS（需求积压）和SYSTEM-BLUEPRINT（体系蓝图），主动分析Skill体系的演进方向——哪些Skill应该新建、哪些应该合并/拆分、哪些描述需要重写、哪些触发词需要调整、整体编排架构是否需要升级。对应产品侧的 product-evolution-planner。触发词：「Skill体系怎么演进」「Skill体系应该怎么完善」「有没有新的Skill需要建」「Skill体系演进建议」「主动分析Skill体系」「Skill体系下一步」。
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按需培养领域专家子智能体。通过调研→整理→自问自答反思→专家配置输出四阶段，将任何领域的知识转化为可 dispatch 的专家 Agent。Orchestrator 在识别到「现有审查能力不足」时触发。触发词：「需要X领域的专家」「这个任务需要X领域的深度审查」「培养专家」「我们没有X方面的专家」「expert-bootstrap」「build expert」「专家培养」。
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Diagnose and fix slow pyfixest regression GRIDS (many feols/fepois calls run sequentially) that stay slow despite demeaner_backend="cupy64" and an idle GPU. Use when: (1) a script looping dozens of pf.feols models on a 100k+ row panel takes ~1 min/model, (2) process inspection shows ~1-1.5 cores busy and nvidia-smi shows ~0% GPU utilization with a resident cupy context, (3) planning any worker prompt that will run a model grid (robustness variants x FE structures x domains). Root cause: per-model CPU-side single-threaded fixed costs (formulaic model-matrix build, interaction construction, singleton detection, cluster vcov) dominate wall time; GPU demeaning is a small slice. Fix: shard the model grid across OS processes and/or use pyfixest multiple-estimation syntax; mandate this IN THE WORKER PROMPT.
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Build human adjudication / hand-labeling sheets from LLM-pipeline data without evidence truncation. Use when: (1) preparing a CSV/Excel sheet for a human to rule on cases an LLM classifier or rater panel judged, (2) a labeler reports "there is no information to label from" or cells look empty in Excel, (3) excerpt columns cluster at one exact length (e.g. all 1,500 chars — a hard truncation cap). Covers: full rating-basis recovery, Excel 32,767-char cell cap, multi-line CSV mangling, ruling dropdowns, companion text files.
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Convert between LaTeX and Microsoft Word for academic manuscripts in either direction, and assemble .tex from mixed sources. Fires on: converting .tex/LaTeX to Word/.docx ("tex to docx", "latex to word", "tex2docx", "convert to word", "pandoc convert"); converting .docx manuscripts to LaTeX for editing and back ("convert to latex", "manuscript", "footnotes", "reference doc", the docx-to-tex-to-docx round-trip / academic paper editing pipeline); high-fidelity delivery where plain pandoc loses tables, mangles cross-references, or fails on custom macros — booktabs/regression tables, OMML equations, cleveref, \estauto, \@@input, \thanks, TikZ, native Word tables, longtable, siunitx; and building .tex from mixed PDF/docx/LLM-generated sources. Replaces and reroutes the retired skills manuscript-editing-template-latex, latex-to-docx-fidelity, tex2docx, and latex-from-mixed-sources.
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Generates networking boilerplate adapted to the project's chosen networking package (NGO, Mirror, Photon). Use when setting up multiplayer systems, syncing state, writing RPCs, building lobbies, or designing an authority matrix. Triggers on requests like "add multiplayer", "sync player health", "create an RPC", "set up lobbies", "make this networked", "add co-op", "replicate this across clients", "spawn networked objects", "handle player disconnect", "create a matchmaking system", or any task involving network state synchronization, remote procedure calls, or client-server architecture. Always reads ProjectConfig.yaml -> networking before generating code. If networking is "none", do NOT generate networking code.
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Create a complete feature module with folder structure, Assembly Definition (.asmdef), test assembly, and namespace. Use when adding a new feature, system, or module to a Unity project. Triggers on requests like "create a new feature", "scaffold a module", "add a combat system", "I need a health system", "set up inventory", "create a new module for X", "add a new system", "new feature folder", or any task requiring new folders, assemblies, or namespaces for a gameplay feature — even when the user just names a system they want to build from scratch. Reads ProjectConfig.yaml for folder_strategy and MCP availability.
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Orchestrate the narrative team: coordinates narrative-director, writer, world-builder, and level-designer to create cohesive story content, world lore, and narrative-driven level design.
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Run the critical path smoke test gate before QA hand-off. Executes the automated test suite, verifies core functionality, and produces a PASS/FAIL report. Run after a sprint's stories are implemented and before manual QA begins. A failed smoke check means the build is not ready for QA.
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Orchestrate level design team: level-designer + narrative-director + world-builder + art-director + systems-designer + qa-tester for complete area/level creation.
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Generates a comprehensive pre-release validation checklist covering build verification, certification requirements, store metadata, and launch readiness.
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Validates completeness and consistency of the project architecture against all GDDs. Builds a traceability matrix mapping every GDD technical requirement to ADRs, identifies coverage gaps, detects cross-ADR conflicts, verifies engine compatibility consistency across all decisions, and produces a PASS/CONCERNS/FAIL verdict. The architecture equivalent of /design-review.
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Unity 6 multiplayer and networking guide. Use when building multiplayer games, working with Netcode for GameObjects, NetworkManager, NetworkObject, NetworkBehaviour, RPCs (ServerRpc, ClientRpc), NetworkVariables, or Unity multiplayer services (Relay, Lobby). Covers client-server architecture, state synchronization, and scene management. Based on Unity 6.3 LTS documentation.
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