Explorar skills

Generate a bias-free, ATS-optimized, skills-based job description for 2026. Runs a banned-word filter on gender-coded ("rockstar/ninja/guru/aggressive/dominate"), age-coded ("digital native/young/recent grad"), and ability-coded ("walk the floor") language; enforces skills-based requirements (drops "5+ years required" to "3 years preferred" unless regulatory); auto-injects pay transparency block f

Handle ethical requirements, IRB approval, trial registration, and pre-analysis plans for RCTs. Use when user mentions: research ethics, IRB, informed consent, trial registration, pre-analysis plan, PAP, data security, vulnerable populations, research transparency.

Configure over-the-air mobile updates — Shorebird for Flutter, CodePush or EAS Update for React Native — with update channels, staged rollout, forced vs optional update policies, rollback procedures, crash-rate monitoring, and CI integration

Activates FinancialModelBuilder for building complete financial models from scratch. Use when you need a 3-statement model (P&L, balance sheet, cash flow) built with assumptions, a revenue model with multiple drivers, a unit economics model, a startup runway model, or a scenario analysis with sensitivity tables — all with clear assumptions and audit trail.

飞书妙记：妙记相关基本功能。1.查询妙记列表（按关键词/所有者/参与者/时间范围）；2.获取妙记基础信息（标题、封面、时长 等）；3.下载妙记音视频文件；4.获取妙记相关 AI 产物（总结、待办、章节）；5.上传音视频生成妙记，也支持将本地音视频文件转成纪要、逐字稿、文字稿、撰写文字等产物；6.更新妙记标题（重命名妙记）；7.替换妙记逐字稿中的说话人。遇到这类请求时，应优先使用本 skill。飞书妙记 URL 格式: http(s)://<host>/minutes/<minute-token>

Analyze energy load forecasting systems including demand prediction models (ARIMA, Prophet, LSTM), weather API integration, peak shaving strategies, demand response program optimization, renewable intermittency handling, net load duck curve management, model validation with MAPE/RMSE accuracy metrics, and time-series data pipeline quality for utility and ISO/RTO operations.

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.

Analyze vendor management systems for performance scorecards, third-party risk assessment, SLA enforcement, vendor rationalization, and relationship governance. Evaluates vendor tiering strategies, risk taxonomy (financial, cyber, compliance, geopolitical), continuous monitoring with BitSight/SecurityScorecard, ITIL supplier management alignment, diversity program tracking, and lifecycle managemen

Guidance for identifying, prioritizing, and acting on buying signals to improve outbound targeting, ABM, and paid media performance

Passive domain reconnaissance using Python stdlib. Subdomain discovery, SSL certificate inspection, WHOIS lookups, DNS records, domain availability checks, and bulk multi-domain analysis. No API keys required.

Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.

Analyze commodity pricing and trading systems including forward curves, option models, position management, risk metrics, and regulatory reporting. Use when: 'review pricing models', 'audit trading system', 'evaluate VaR implementation', 'check commodity risk management', 'assess ETRM system', 'review derivatives valuation', 'analyze energy trading platform', 'evaluate hedge accounting'.