Results for “ats”

因果推論・効果検証（A/B テスト / ABテスト / オンライン実験 / リフト / SRM / CUPED、観察データの処置効果 / ATE / ATT / CATE / 傾向スコア / propensity score / IPW / 二重頑健 / DML / causal forest、準実験 / 差の差 / DiD / イベントスタディ / 操作変数 / IV / 2SLS / 回帰不連続 / RDD / 合成コントロール）を実行したら必ずセットで出す図と値のルーター。 proportions_ztest, chisquare, statsmodels.stats.power, dowhy, econml, causalml, doubleml, propensity, LinearDML, IV2SLS, rdrobust, rddensity, pysyncon, treat*post がコードに現れたとき、またはユーザーが「ABテストの結果を 見て」「施策の効果を推定して」「差の差で」「傾向スコアで揃えて」「閾値前後で比較して」と言ったときに使う。SRM・ バランス・並行トレンド・first-stage に言及がなくても適用する。SKILL.md のルーティング表で設計を特定し、対応する references/<設計>.md を読んでから実行する。実験でない群間比較の検定は statistical-inference-diagnostics、 予測モデルの解釈（SHAP 等）は predictive-modeling-diagnostics を使う。

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Agent fallback for CEngineServer_DumpNetStats (auto-generated, category: vfunc). Locate CEngineServer::DumpNetStats in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineServer_DumpNetStats, CEngineServer::DumpNetStats

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Agent fallback for CEngineClient_DumpNetStats (auto-generated, category: vfunc). Locate CEngineClient::DumpNetStats in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineClient_DumpNetStats, CEngineClient::DumpNetStats

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Agent fallback for CEngineClient_GetStatsAppID (auto-generated, category: vfunc). Locate CEngineClient::GetStatsAppID in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineClient_GetStatsAppID, CEngineClient::GetStatsAppID

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Guide market prediction workflows with LSTM, Transformer, and N-BEATS models using neural-trader commands and result storage. It explicitly identifies version 2.8.11 outputs as placeholders, so they cannot be treated as fitted models or evidence of prediction accuracy.

• Preparing market prediction model commands
• Checking whether training outputs are placeholders
• Organizing model run records

Find past discussions across existing screenpipe, Codex, Claude, Cursor, and Gemini CLI chats by title, workspace, or message text. With explicit authorization, send follow-up work to a specific supported chat; Gemini CLI supports search only.

• Finding a conversation using a remembered phrase
• Recalling what an agent previously said
• Sending follow-up work to a specific chat

Evaluate whether Google SecOps rules detect threats described in articles or supplied text. Generate simulated attack logs, identify coverage gaps, summarize matching rules, and create rules for uncovered threats, with user approval before adding them.

• Evaluate detection coverage for threats described in a blog
• Test existing rules with simulated attack logs
• Review matching rules and their alerting status

Prepare video clips with yt-dlp, whisper, and ffmpeg, covering downloads, speech transcription, subtitle files, trimming, and vertical formatting. Also includes methods for adding generated speech and sending finished videos through messaging APIs.

• Turning longer videos into vertical clips
• Creating and embedding subtitles from speech
• Adding narration made with text-to-speech

Send and reply to Lark messages, search conversation history, and retrieve attachments through an agent. The skill also supports creating group chats, managing members, and organizing important messages and conversations with bookmarks and pinned chats.

• Send messages and reply in threads
• Find past messages and download attachments
• Create group chats and manage members

Work out which applicant tracking system a job uses from its application link, and give the formatting rules that system parses safely. Use when asked which ATS does this company use, will my CV get through the ATS, is my CV ATS friendly, or how should I format for Workday, Greenhouse, Lever or Taleo. Produces the detected system with the evidence, a parsing-safe formatting checklist, the file type to upload, and a check of a supplied CV against the rules.

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Composite a generated creator track into a product layer, per beat — in the creator's zone on split beats (either side of a seam), full frame on creator beats, hidden on product beats — with the creator's voice as the audio (loudness -14 LUFS) and an optional ducked music bed, or a music-only or silent master for voiceless formats. Free, local ffmpeg. Pairs with footage-cutlist (the layer) and create-creator-takes-h3 (the creator). Use for split-screen (with an optional zoom and brand-colour seam bar), screen-insert and any creator-over-product format.

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Formats and parses locale-aware numbers, decimals, currencies, percentages, dates, durations, measurements, names, lists, byte counts, and URLs with Foundation FormatStyle and ParseableFormatStyle. Use when replacing legacy Formatter subclasses, designing reusable format APIs, using SwiftUI Text(_:format:), correcting availability, or testing user-facing formatted output across locales.

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求职 / 面试辅导(求职教练视角 — 求职定位与职业叙事 / 简历与 ATS 优化 / 求职渠道与内推策略 / 职场社交 / 行为面试与专业面试 / 面试心理与表达 / 谈薪与 offer 决策 / 校招与应届生 / 转行求职 / 特殊群体求职 / 求职教练的执业经营 — 涵盖中国大陆求职生态 + 海外英语区求职体系,两套差异极大) (Job-hunting & interview coaching — 求职教练 / 面试辅导师的实践视角(求职定位与职业叙事 / 简历与 ATS / 渠道与内推策略 / 行为与专业面试 / 谈薪与 offer 决策 / 校招与转行 / 求职教练的执业经营)) Master OS — automated mastery of Job-hunting & interview coaching — 求职教练 / 面试辅导师的实践视角(求职定位与职业叙事 / 简历与 ATS / 渠道与内推策略 / 行为与专业面试 / 谈薪与 offer 决策 / 校招与转行 / 求职教练的执业经营): top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on Job-hunting & interview coaching — 求职教练 / 面试辅导师的实践视角(求职定位与职业叙事 / 简历与 ATS / 渠道与内推策略 / 行为与专业面试 / 谈薪与 offer 决策 / 校招与转行 / 求职教练的执业经营) problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「求职」「找工作」「面试」「面试辅导」「求职辅导」

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Este skill deve ser usado para reescrever currículos com foco em compatibilidade ATS e impacto para recrutadores, e/ou auditar perfis LinkedIn para maximizar visibilidade e conversão profissional. Acionar em pedidos de otimização de currículo, melhoria para ATS, reescrita profissional do CV, adaptação para vaga-alvo, auditoria de compatibilidade ATS, aumento de taxa de entrevista, auditoria de perfil LinkedIn, otimização de headline/about/experiências LinkedIn, análise de SSI, ou alinhamento CV+LinkedIn.

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Refresh WhatsApp text into an Obsidian vault (data layer, dashboard, group labels, contact notes). Text only, never downloads media, and pulls the recent window the live companion bridge exposes rather than a full multi-year archive. Semi-automatic by design: it drives the live bridge and needs the phone nearby. Triggers: "/whatsapp-sync", "pull whatsapp".

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Author standardized AI cheatsheets in the awesome-cheatsheets format

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Create concise checklist cheatsheets from official tool docs. Use for docs URLs, setup guides, or updating existing cheatsheets. Don't use for long tutorials or API references.

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Create a study cheatsheet by extracting and synthesizing key concepts from lecture materials, homework, and past exams. Use this skill whenever a user asks for help making a cheatsheet, study sheet, formula sheet, exam reference sheet, or "one-pager" — especially when they upload lecture slides (PDF/PPTX/DOCX), problem sets, past exams, or scanned/handwritten notes. Trigger this even for casual phrasings like "help me prep for my final," "summarize my course materials into something I can bring to the exam," or "make me a study reference from these slides and homeworks." Tuned for math/science (formulas, proofs, theorems) and CS/engineering (code, algorithms). Processes one file at a time and persists intermediate summaries to disk to avoid blowing past the context window on large courses.

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Genera tickets profesionales de soporte para Meta Business Suite / WhatsApp Business API optimizados para recibir prioridad URGENTE 24hr resolution. Úsala SIEMPRE que el usuario mencione crear un ticket a Meta, escalar un caso WABA, apelar un ban o restricción, reportar un false positive, abrir caso de soporte WhatsApp Business, problema de onboarding, rechazo de template, errores de Cloud API, OTP delivery, verification stuck, BM restricted, display name rejection, o cualquier issue de una WhatsApp Business Account. También activa cuando el usuario dice frases como "ayúdame a redactar un caso para Meta", "necesito reportar esto a soporte", "hay que escalar esto a WhatsApp", "ticket para Meta", o describe un problema de una cuenta de cliente de Vambe sin pedir ticket explícitamente pero claramente necesita uno. También activa ante preguntas del tipo "¿cómo apelar esto?" o "¿qué hago si Meta dice X?" relacionadas con WABA, BM o verificación.

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Define when an agent may respond in shared chats with customers or partners and what it may send. Separate authorized routine replies from approval-only drafts while keeping internal information out of external messages.

• Setting response rules for customer group chats
• Keeping internal details out of partner replies
• Routing prices and commitments to approval-only drafts

Create, edit, and clean spreadsheet files, convert table formats, and add formulas, formatting, or charts. The workflow includes recalculating formulas and checking errors before delivering a spreadsheet that updates when its inputs change.

• Clean messy CSV data into a spreadsheet
• Add formulas and charts to an Excel workbook
• Create a spreadsheet template for data entry

Retrieve current cyber threat data, including malware indicators, addresses of attacker control servers, and vulnerabilities known to be exploited. Filter by threat type, source, severity, and date to identify relevant threats for review and reporting.

• Reviewing recently observed malware indicators
• Finding high-severity exploited vulnerabilities
• Checking attacker control server indicators

Generate a read-only security report on threats involving MCP connections and operations. It groups findings by threat, reports the highest severity, and supports table or JSON output with a configurable severity threshold for failure.

• Prepare security findings before a release
• Share a categorized threat report with a security team
• Check changes in MCP-related threats during periodic audits

Turn a job description and career history into a tailored resume that emphasizes relevant experience, skills, and achievements. Get clear formatting, keywords suited to applicant tracking systems, and suggestions for addressing gaps in the application.

• Tailoring a resume to a specific job
• Highlighting transferable skills for a career change
• Adjusting wording for applicant tracking systems