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概要と使いどころ
End-of-week reflection report. Mines your Claude Code transcripts from the last 7 days to produce a self-contained HTML file with (1) the topics/areas you explored, (2) distilled key learnings with live-searched further-reading links, and (3) a token/command/skill/ctx-stack usage summary. Use when the user says "week in review", "weekly review", "what did I learn this week", "my week", or runs /week-in-review.
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。
Act as a senior Amazon account growth operator that combines Amazon performance-drop analytics, Amazon growth-opportunity analytics, Amazon Ads data, retail readiness, BSR/rank signals, margin, inventory, and campaign/search-term evidence into a prioritized profitable growth action plan. Use when Codex needs to decide what to protect, fix, scale, reduce, pause, harvest, launch, or monitor for an Amazon brand, agency, marketplace, ASIN set, or account; when building daily, weekly, or monthly Amazon account operating plans; when reallocating ad budget; when deciding which ASINs are safe or risky to push; or when turning performance-drop and growth-opportunity findings into approval-gated actions with success/failure criteria.
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 Amazon Ads optimization analysis, recommendations, approval packets, demos, recordings, or public artifacts must preserve exact source KPIs while masking account/profile/project names, products, ASINs, SKUs, campaigns, ad groups, keywords, search terms, targets, placements, filenames, URLs, and source-derived identifiers. Produces masked approval packets only; it must not directly mutate Amazon Ads.
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。
Normalize and screen scattered foreign-trade leads into a conservative, structured lead pool that can flow into customer-intel research. Use when an operator has company names, websites, emails, or contact clues from search results and needs a standardized output with missing-field warnings, review flags, next-step suggestions, and customer-intel-ready JSON.
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。
Normalize an OpenClaw lead bundle into a conservative lead-screening package with missing-field warnings, manual-review reasons, and customer-intel-ready payloads.
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。
Continuously bridges DESIGN.md into the active planning phase. When the user is working on a UI phase, reads the project's DESIGN.md, extracts the relevant token slice, and appends it to findings.md under "## Design Context" so the agent sees design constraints in its attention window. Never edits DESIGN.md, never edits task_plan.md. Idles when DESIGN.md is absent.
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 all uncommitted work and commits not yet pushed on the current branch, fix credible findings, commit remaining changes, and push. Use when the user invokes `$push` or asks to review, commit, and push all current branch 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。
Add a new E2E test case to tests/e2e/prompts.yaml for LangSmith evaluation. Use when adding interaction pairs to test, covering new ANSM drug classes, or rebalancing eval coverage.
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。
Run the LangSmith evaluation suite and display pass/fail results
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 a small code or documentation change and return only evidence-backed correctness findings. Use in the Codex How To local plugin lab; do not modify files or post remote comments.
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。
复盘 v3（Workbench 门禁型）：启动本地 Workbench，用户在独立会话页确认想学的知识点和深度，按选择调研产出复盘文档； 同时落 2-3 条账本条目（记录/复盘/learnings.jsonl）供 bugfix/eng 开工回放与复发检测。 触发方式：用户说"总结知识"、"学习总结"、"复盘"、"可视化复盘"、"/forge-fupan"。
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。
Mark a rolling-wave slice done on explicit user authority, regardless of its current lifecycle status or missing implementation, finalization, review, verification, or child-project state. Use when the user says a slice is done, complete, finished, accepted, or should be marked done; capture available material learnings, update project state, and output roadmap progress without requiring earlier workflow steps.
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。
Report the NeatContext context and routing mode active in Codex, including missing-file or stale-routing warnings. Use when the user asks which context is connected or explicitly invokes this skill.
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。
Report the NeatContext context and routing mode active in the current Kimi Code session, including missing-file or stale-routing warnings. Use when the user asks which context is connected or explicitly invokes this skill.
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。
Save durable decisions, findings, plans, and implementation knowledge from the visible pi conversation into a new or existing NeatContext context. Use only when the user explicitly asks to preserve the current conversation as reusable context, or runs /neatcontext-save.
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。
Save durable decisions, findings, plans, and implementation knowledge from the visible Codex conversation into a new or existing NeatContext context. Use only when the user explicitly invokes this skill or asks to preserve the current conversation as reusable context.
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。
Save durable decisions, findings, plans, and implementation knowledge from the visible Kimi Code conversation into a new or existing NeatContext context. Use only when the user explicitly invokes this skill or asks to preserve the current conversation as reusable context.
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。
Investigate two separate areas of the codebase simultaneously and combine findings into a comparison report. Use when you need research on two independent topics at once, want to compare two subsystems, or need to understand how two components relate to each other.
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。
Research a technical topic thoroughly by exploring the codebase and summarizing findings. Use when asked to investigate how something works, research an area of the codebase, trace a data flow, or understand a component in depth.
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。
Enterprise-specific view across CopilotKit + AG-UI. "Enterprise" here = CopilotKit's COMMERCIAL surfaces (Premium / CopilotKit Enterprise / Intelligence Platform / paid tiers), NOT CopilotKit running inside a big company. Tracks the commercial product surfaces (from product-surface-scan — Enterprise Intelligence, Cloud, self-host license, threads/persistence tier, Inspector, premium UI/Angular SDK, analytics, security bundle, Slack/Teams), applies the free-vs-paid classifier to decide if an issue belongs here, surfaces cross-page product contradictions, and tracks enterprise questions/complaints, community-sourced prospects (with a sales owner), and enterprise reporters with prior-week trend. Elevated to the top of the weekly report. Runs standalone ("who's at enterprise this week") or invoked by weekly-report. Triggers on "enterprise report", "enterprise signals", "enterprise status", "who at enterprise this week".
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。
Generate songs, instrumentals, lyrics, podcasts using Mureka AI.
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。
Control Alexa devices via CLI - set alarms, play music, flash briefings, smart home 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。
Anonymous confessions from AI siblings.
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。
Talk to your Apple Health data — ask questions about your workouts, heart rate, activity rings, and fitness trends.
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。