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Found 2,412 Skills
Observe.AI platform help — enterprise contact center intelligence with Auto QA scoring on 100% of interactions, Agent Copilot real-time guidance, Coaching Copilot post-call performance management, VoiceAI and ChatAI virtual agents, screen recording, Insights Copilot. Use when setting up Observe.AI Auto QA scorecards for contact center agents, Agent Copilot not surfacing guidance during live calls, transcription accuracy issues or speaker attribution errors, comparing Observe.AI vs Balto or Cresta or CallMiner for contact center QA, integrating Observe.AI with Five9 or Amazon Connect or Talkdesk, or configuring compliance monitoring and regulatory audit trails. Do NOT use for building a general coaching program (use /sales-coaching) or reviewing a specific call transcript (use /sales-call-review).
Independent model QA expert who audits ML and statistical models end-to-end - from documentation review and data reconstruction to replication, calibration testing, interpretability analysis, performance monitoring, and audit-grade reporting.
Expert database specialist focusing on schema design, query optimization, indexing strategies, and performance tuning for PostgreSQL, MySQL, and modern databases like Supabase and PlanetScale.
Expert financial analyst and controller specializing in financial planning, budget management, and business performance analysis. Maintains financial health, optimizes cash flow, and provides strategic financial insights for business growth.
Expert data analyst and reporting specialist focused on transforming raw data into actionable business insights, performance tracking, and strategic decision support. Specializes in data visualizat...
Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Use when: user wants to optimize a Dockerfile, create or improve docker-compose configurations, implement multi-stage builds, audit container security, reduce image size, or follow container best practices. Covers build performance, layer caching, secret management, and production-ready container patterns.
Implements the Syncfusion React Bullet Chart component for KPI and performance indicator visualization. Use this when users need feature measure displays, comparative measures, target comparisons, or metric visualizations. Covers data binding, value bars, target bars, ranges, titles, tooltips, data labels, axis customization, orientation, and accessibility.
Account-level analysis via Longbridge — total market value, cash share, period P&L, single-stock contribution ranking, industry distribution, currency exposure, historical P/L curve. Requires longbridge login with trade scope. Triggers: "我账户表现", "我本月浮盈", "我哪只股票贡献最多", "我组合配置", "我货币暴露", "我账户行业分布", "账户全貌", "我賬戶表現", "我本月浮盈", "我哪隻股貢獻最多", "我貨幣暴露", "我賬戶行業分佈", "my account performance", "monthly P&L", "biggest contributor", "portfolio breakdown", "currency exposure", "industry mix", "account-level analysis".
Use when improving performance, latency, throughput, memory usage, or general efficiency. Start by defining target metrics, measuring comprehensively, attributing bottlenecks, validating with static analysis, and prioritizing macro-optimizations before micro-optimizations.
Cross-model benchmark for gstack skills. Runs the same prompt through Claude, GPT (via Codex CLI), and Gemini side-by-side — compares latency, tokens, cost, and optionally quality via LLM judge. Answers "which model is actually best for this skill?" with data instead of vibes. Separate from /benchmark, which measures web page performance. Use when: "benchmark models", "compare models", "which model is best for X", "cross-model comparison", "model shootout". (gstack) Voice triggers (speech-to-text aliases): "compare models", "model shootout", "which model is best".
Code review requires technical evaluation, not emotional performance.
Optimize MATLAB code for better performance through vectorization, memory management, and profiling. Use when user requests optimization, mentions slow code, performance issues, speed improvements, or asks to make code faster or more efficient.