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Root-cause a failing or wrong empirical result with a disciplined reproduce → minimise → hypothesise → instrument → fix loop, instead of guessing-and-poking. Use when the user says "why is my regression wrong", "this number changed", "my script errors out", "the result won't reproduce", "debug this", "this estimate looks wrong", or "it worked yesterday". Tuned for research code (R/Stata/Python): type coercion, NA/merge blow-ups, factor levels, clustering/SE choices, weighting, collinearity/convergence, seeds, package-version drift. Use `--no-fix` to localize the root cause without editing shared or load-bearing files.

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Map a MetricFlow semantic_model or metric into ktx semantic layer sources. Covers the MetricFlow to ktx primitive table, `extends:` inheritance flattening, metric-type handling (simple / derived / ratio / cumulative / conversion), `model: ref('x')` resolution, and four worked examples. Load when the turn contains `.yml`/`.yaml` files with top-level `semantic_models:` or `metrics:`.

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Accept screenshot baseline changes and commit the updated version.json.

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Publish and update a game on itch.io: create the project page and upload builds with the butler CLI (butler push) to named channels. Use for itch.io publishing, butler push, channel naming for Windows/macOS/Linux/HTML5, versioning uploads, or shipping a jam or release build to itch.io.

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Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service, Fargate/Kubernetes/Cloud Run/Spring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS/Kubernetes/GKE/EKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.

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Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).

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Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).

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Fast non-interactive briefing before any meeting — auto-detects your next calendar event, pulls relationship history, surfaces open commitments, and produces a one-page brief in under 30 seconds. Use this whenever the user says "brief me", "give me a quick brief", "what's coming up", "background on my next call", "who am I meeting next", "brief me on Sarah", "I have a call in 10 min", "quick rundown", or right before walking into a meeting. Different from /minutes-prep — brief is the fast hook-fireable version that doesn't ask questions and doesn't set goals. Use brief when speed matters; use prep when the user wants to think hard about goals first.

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Research any company, product, or service from a URL plus description and build a comprehensive, evidence-bound AEO/GEO/AI-visibility prompt panel across buyer jobs, information acts, journey states, B0-B5 proximity, aided status, roles, locales, variants, partitions, surfaces, and measurement lanes. Use when a user wants prompts to track in ChatGPT, Claude, Gemini, Perplexity, AI search, or answer engines; wants an AI-visibility measurement design; or needs a versioned panel rather than an SEO keyword list.

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Select QA-approved canonical intent cells into a versioned AI-visibility tracking panel with partitions, variants, lanes, surfaces, locales, repetitions, separate exposure and priority weights, randomization, uncertainty, refresh rules, and campaign controls. Use after prompt QA or when revising an existing panel.

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Video-to-GIF conversion with FFmpeg two-pass optimization

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Routes any Feishu/Lark/Doubao operation, including recording lookup by date (按日期找会议录音), through the version-matched lark-cli domain guide embedded in the installed CLI, then executes and verifies the task. Use for 飞书/Lark/Doubao docs, drive, sheets, Base, wiki, minutes, meetings, calendar, IM, mail, tasks, approval, apps, auth/scope, resource URLs or tokens, and lark-cli troubleshooting. This is the single Lark entry point; use ima-copilot instead for Tencent IMA.

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Generates several distinct, clickable HTML interaction prototypes for one product surface into a Design Board and collects selection/remix feedback before implementation. Use for multiple UI versions, interaction alternatives, progressive-disclosure options, or when styling is fine but hierarchy/workflow/interaction feels off. Not for static visual-style calibration (use design-style-picker) or a settled CSS tweak.

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Transforms raw meeting transcripts into structured, evidence-based meeting minutes — merges multiple versions without losing content, reviews existing minutes against the transcript for missing items, and identifies anonymous speakers (Speaker 1/2/3, 发言人1). Triggers on 会议纪要, 会议记录, 整理纪要, 妙记转纪要, "write meeting minutes", "merge these minutes". Not for fixing ASR/STT errors first (use transcript-fixer).

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Reconcile controlled-substance records and prepare for an inspection — the count against the register, the discrepancy investigation, the documentation an inspector asks for, and the reporting obligations a shortfall triggers. Use when asked to reconcile controlled drugs, prepare for a DEA or controlled-drug inspection, investigate a discrepancy or suspected diversion, or audit the CD register. Produces the reconciliation, the discrepancy investigation record, the inspection-readiness checklist, and the escalation and reporting decision tree. A process framework only; reporting thresholds, timelines and obligations are set by law in your jurisdiction and must be verified there.

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Use when asked 帮我做述职 PPT, 述职 PPT 大纲, 年终述职怎么讲, 10 分钟述职讲稿, 述职 PPT 每页写什么, or turn a written year-end review into a 述职 presentation. Produces a slide-by-slide 述职 PPT outline with a conclusion-first headline per slide (结论先行), the chart or visual for each, a timed speaking script (讲稿) that fits the slot, a one-slide version for a short slot, and a rehearsal and Q&A checklist. For writing the review itself use cn-year-end-review; for a promotion to the next level use cn-promotion-defence.

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Simplify code that works — remove speculative abstraction, dead flexibility, and needless indirection while keeping behaviour identical and verified. Use when a feature has just landed ('now simplify it'), when AI-generated code arrives over-engineered, when a file has grown hard to follow, or as the cleanup pass before review. Produces a smaller, flatter version with identical behaviour, plus a ledger of what was removed and why it was safe. For finding bugs use code-review-checklist / ai-code-review — this skill assumes it works and makes it simple.

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Make a genuinely good drink from the bottles already on your shelf — no special trip, no 12-ingredient recipe. Use when asked what can I make with [spirits], cocktail from what I have, I've got [bottles] what can I drink, or make me a drink without buying anything. Produces two or three cocktails you can build right now with ratios, a method, sensible substitutions for what you're missing, and a zero-proof version — scaled to how many you're making.

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Use when asked 回复询盘, 外贸询盘怎么回, 帮我回客户邮件, 阿里国际站询盘回复, 客户只问价格怎么回, 跟进没回复的客户, or reply to a foreign-trade inquiry from a Chinese exporter. Produces a reply email in English (or the buyer's language) with a Chinese version for the sales team, a read of the inquiry's quality and the buyer's likely type, the questions to qualify the buyer, a price or quotation approach without underselling, and a follow-up sequence for no reply, with export-control and sanctions checks flagged.

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Use when asked 怎么给老师发消息, 跟班主任沟通, 孩子在学校被欺负怎么跟老师说, 对老师的做法有意见, 请假怎么写, 家长群里怎么说话, or write a message from a parent to a teacher in China. Produces a ready-to-send WeChat or note message in Chinese, polite and specific, for the situation (asking, leave, a concern, a disagreement, bullying, thanks), a calmer version if the parent is upset, what to say if the teacher calls back, the escalation path if it is not resolved, and 家长群 etiquette.

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Send your position to a meeting instead of your body — a one-page brief carrying your stances, fallbacks, red lines, tradables, and delegation limits, readable by the colleague (or agent) representing you. Use when you can't attend a decision-making meeting, when double-booked, when briefing someone to negotiate for you, or 'what would you need from me to represent me?'. Produces the clone brief plus a 60-second verbal version for the person carrying it.

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Turn a list of changes, commits, or PRs into clean release notes / a changelog entry. Use when asked to write release notes, a changelog, or a version announcement from raw changes. Produces a Keep-a-Changelog-style entry grouped by type (Added/Changed/Fixed/etc.), written for users — surfacing breaking changes and upgrade notes up top. To go straight from a raw git log use changelog-generator instead.

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Respond to a brand or executive impersonation incident — deepfaked executives, cloned support lines, fake apps, spoofed domains, or AI-generated scam content wearing your name. Use when a deepfake of a leader is circulating, customers report a fake version of your product or support channel, or to prepare the impersonation playbook before it happens. Produces an incident response: verification protocol, takedown sequencing by platform, customer and public communications, and the hardening plan. For general crisis comms use press-release/pm-crisis skills; for security incidents inside your systems use security-incident-response.

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Decide when to buy a big-ticket item to get the best price — the sales cycles, model-refresh timing, and 'buy now vs wait' math for the specific thing you want. Use when asked when's the best time to buy [item], should I wait for a sale, is now a good time to buy, or when do [products] go on sale. Produces the typical discount calendar for that category, whether a new model/version is due (and if the current one will drop), a buy-now-vs-wait recommendation for your timeline, and price-tracking tactics — flagging that timing is a guide, not a guarantee.

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。