Build repeatable data-to-Docs pipelines from Sheets and Drive sources. Use for automated status reports, template-based document assembly, and scheduled publishing workflows.
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。
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概要と使いどころ
Build repeatable data-to-Docs pipelines from Sheets and Drive sources. Use for automated status reports, template-based document assembly, and scheduled publishing workflows.
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, audit, harden, review, or upgrade MCP servers and MCP Apps with revision-aware protocol profiles, explicit HTTP/deployment boundaries, capability-centered validation, bilingual reporting, and reproducible evidence. Use for MCP server architecture, JSON-RPC or Streamable HTTP bugs, security hardening, protocol-version migration, MCP Apps widget boundaries, review reconciliation, test planning, and public engineering evidence.
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。
为最终稿创建不可变盲预测日志,并在已有预测时追加新版本。通过 cheat-score-blind 做隔离评分,再由主窗口复核落盘。触发词包括启动预测、start prediction、打分并预测、写预测日志。
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。
提议并执行 rubric 或 bucket 升级。两种模式:**完整 rubric bump**(最高风险动作,5 步强制 + 跨模型审核)和 **--bucket-only 轻量重校**(只换 bucket 边界,不动 rubric 公式)。**Phase 2 强制走 cheat-score-blind sub-agent 给校准池重打分**——不接受 self-scored fallback。触发词:"升级 rubric"/"bump rubric"/"更新公式"/"我想加一个维度"/"调整权重"/"重校桶"/"recalibrate bucket"。
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。
登记一条视频已拍摄。**建 video folder + 询问实际拍摄稿是否与 scripts/<id>.md 一致 + buffer +1**。与 cheat-publish 配对:拍了进队列,发了出队列。触发词:"拍了"/"拍了 X"/"shot"/"shot it"/"已拍 X"/"录完了"。
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。
从复盘评论数据派生 / 刷新账号的受众画像,写入 audience.md。这是和 rubric 平行的第二个派生物——rubric 答"怎么打分",persona 答"谁在看"。cheat-seed 选题 / 写稿时读它。**audience.md 含实绩信号,cheat-score-blind 硬禁读**。触发词:"构造受众画像"/"更新 persona"/"我的观众是谁"/"build persona"/"刷新受众画像"/"看看我的受众画像"。
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。
Choose the narrowest reliable browser surface across Codex Browser, signed-in Chrome, Playwright CLI, and platform scripts. Use for browser automation, logged-in workflows, UI inspection, screenshots, form filling, publish previews, or frontend QA.
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 splitting content work between a raw drafting model/window, an editor-in-chief, and the user's final taste review. It keeps prompts loose enough for judgment while preserving facts, account boundaries, and publish gates.
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 and integrate the machine-level core of a new EMULATORS emulator, including Computer and Emulator derivatives, memory and port maps, chip ownership and wiring, clock coordination, model configuration, commands, formatters, executables, and Visual Studio projects. Use when scaffolding a machine namespace, adding a model or regional variant, assembling existing components into a computer, or making a new emulator build and start.
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。
The LAW a council SEAT is bound by — deliberation protocol, pact obligations, governance, and decision-ledger recording — the discipline half of a seat. Trigger when: - Holding a seat on a bound council (architect, lead-maintainer, process-auditor, or a summoned guest). - Depositing an independent assessment, routing a decision, or recording assent or a finding. - Auditing whether the council honored the pact, the delegation table, or the barring lifecycle. - Prompt contains: /council, council seat, deliberation protocol, pact, delegation table, decision ledger, barring, merge-consent.
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。
Propose a UI change for human sign-off before building it. The default path deploys a rough live staging preview (with NUXT_PUBLIC_CROUTON_REVIEW=true) so the reviewer pins comments on the real running page. Use --static for the offline HTML/CSS mockup fallback (no deploy available, or speed over fidelity). Invoke for any task that adds/changes a .vue component, a layout, a page, or a theme.
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。
Swap the external provider/library that backs a crouton package (e.g. the map renderer, geocoder, editor engine, storage SDK) while keeping the package's public API stable so consuming apps need no changes. Use when asked to "change the X provider", "replace library Y in package Z", "switch from <vendor A> to <vendor B>" inside packages/. Encodes the keep-the-API-stable playbook + the gotchas (dist .d.ts over docs, generator templates, fixtures, dup-dep type clashes).
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。
Test or debug application use cases through their public Action API, including persistence, authorization failures, atomic rollback, and post-commit reactions. Use when adding regression tests for business operations.
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, revise, and validate publication-ready academic paper figures and tables. Use for LaTeX tables, related-work comparison tables, result tables, notation/dataset/taxonomy tables, precise source-data-driven experiment plots from CSV/JSON/logs, generated conceptual figures such as system overviews/pipelines/architectures/threat models, captions, artifact specs, source-data traceability, and paper-ready PDF/SVG/PNG/LaTeX exports. Do not use for prose-only paper writing, self-review, reviewer response, rebuttal drafting, or external literature-management workflows.
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 codebase or subsystem for architecture simplification - shallow or pass-through modules, scattered concepts, naming drift, sibling workflows that disagree, weak test seams. Use when the user asks what to simplify or restructure. Not for a narrow fix or for implementing an already chosen design.
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 the deliverable is authored or edited prose whose wording matters (docs, READMEs, release notes, public copy) or when the user asks to tighten, de-AI, or review writing. Not for chat answers, code review, or explanations of current 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。
Audit and convert images to WebP format. Checks public/assets/ for PNG/JPG files, verifies <img> tags have width/height, and generates cwebp conversion commands.
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。
intake 成果物を Notion へ初回公開したいとき、ヒアリングをやり直さず Notion 側だけ更新して再公開したいときに使う。
A deliberately leaky demo skill used to show what skill-sanitizer catches before you publish. Do not ship this.
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 folders of Markdown/text research notes, Obsidian vaults, paper cards, invention notes, or memory exports as a practical knowledge map. Use when asked to find center topics, noisy or low-signal notes, possible contamination, overgrown topic groups, orphan notes, cleanup actions, or a useful public knowledge-hygiene workflow.
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。
Conduct reproducible web searches and decision-oriented research across official sites, search engines, news, papers, forums, social platforms, and public datasets. Use when Codex must investigate a person, organization, product, market, technical resource, reputation, career choice, or other current topic; compare candidates; verify claims; collect dated citations; distinguish facts from inference and anecdote; or write an evidence-backed research report.
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, rename, and polish a GitHub repository across its local checkout and remote settings. Use when Codex needs to synchronize a local and GitHub repository name, set the description, homepage URL, or topics, create repository branding and a GitHub social preview, restructure a README, or prepare and publish a cohesive repository identity. Uses GitHub CLI for supported remote operations and delegates visual identity work to $create-context-aware-logos.
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。
Distributed machine learning, data mining, and iterative HPC with Exasol. Covers end-to-end ML pipelines (DISTRIBUTE BY + SET scripts + BucketFS), per-entity federated training with partial_fit and ctx.reset(), batch inference, map-reduce ensemble training, distributed ensemble and SON algorithm for frequent itemset mining (Apriori, FP-Growth, association rules, market-basket analysis), Lua execute script orchestration for iterative algorithms (k-means, SGD, gradient descent), scikit-learn model training, parallel hyperparameter search, per-entity forecasting, anomaly detection, model lifecycle in BucketFS (pickle/joblib/ONNX versioning), GPU acceleration via CUDA SLCs (PyTorch/TensorFlow/RAPIDS), and ML-specific performance tuning (skew, OOM, multi-pass chunking).
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。
Add Slack as a channel. Can replace WhatsApp entirely or run alongside it. Uses Socket Mode (no public URL needed).
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。