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Found 850 Skills
Select, configure, and operate portfolio management systems for advisory firms, covering model portfolios, UMA/sleeve management, drift monitoring, rebalancing, and custodian data feeds. Use when the user asks about choosing a PMS platform, building or distributing model portfolios, implementing UMA or sleeve-based management, setting drift monitoring thresholds, aggregating held-away assets, reconciling PMS with custodian records, configuring PMS-based billing, or troubleshooting custodian feed issues. Also trigger when users mention 'portfolio management system', 'Orion', 'Black Diamond', 'Tamarac', 'Addepar', 'Advent APX', 'model portfolio', 'sleeve management', 'rebalancing engine', 'custodian feed', or 'PMS migration'.
Meltwater platform help — media intelligence, social listening, media relations (journalist database + outreach), influencer marketing, social media management, consumer intelligence, Mira AI, API, and integrations. Use when Meltwater Explore searches return noisy results, media monitoring is missing coverage, journalist contacts are outdated, influencer campaigns aren't tracking properly, social publishing isn't scheduling, Meltwater API or Mira AI isn't returning expected data, or CRM/BI integrations aren't syncing. Do NOT use for cross-platform social listening strategy (use /sales-social-listening), cross-platform media relations strategy (use /sales-media-relations), cross-platform influencer marketing strategy (use /sales-influencer-marketing), or email deliverability (use /sales-deliverability).
Design and run a monitoring system for a website or web app. Use this skill when setting up uptime checks, defining SLOs, configuring error tracking, choosing what to alert on, designing on-call rotations, or fixing alert fatigue. Triggers on monitoring, alerts, uptime, SLO, SLA, error rate, on-call, pager, alert fatigue, observability, dashboards, what should we monitor. Also triggers when an incident reveals a gap in monitoring.
Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.
Interactive config wizard for NeMo Evaluator Launcher (NEL). Use when the user wants to create a new evaluation config from scratch, set up an evaluation from existing configs, or modify a NEL config (deployment, tasks, multi-node, interceptors). ALWAYS triggers on mentions of creating configs, setting up evaluations, configuring models for evaluation, or modifying NEL YAML files. Do NOT use for monitoring, debugging, or analyzing already-running evaluations.
Create and run LangWatch experiments for pre-deployment batch testing. Use when the user wants to test an agent against a dataset, compare prompts or models, benchmark quality, detect regressions, or add a CI quality gate. Do not use for production monitoring or guardrails.
Acts as the persistent supervisor, launching and monitoring the automated review campaign. Use when running a long-running, continuous security review campaign that needs autonomous coordination. Don't use for executing individual review stages directly.
Uses the user's own paid TikHub API to research public social-media creators, accounts, posts, videos, comments, transcripts, topics, and performance data, then exports traceable JSON, Markdown, CSV, or Excel assets. Activate this Skill whenever the user mentions terms like Shengjiang Research, cross-platform research, influencer research, benchmark accounts, post scraping, comment scraping, transcripts, TikHub, Douyin, Xiaohongshu, WeChat Channels, TikTok, YouTube, Bilibili, Weibo, Instagram, X, Reddit, Zhihu, or public social media data monitoring. Always disclose API charges and show a request-count and cost preview before conducting paid batch collection.
Inspects Google Cloud Filestore capacity and utilization, evaluates storage scaling rules, and performs capacity autoscaling (scale UP for low free space or scale DOWN for cost optimization). Use when monitoring Filestore instance headroom, resizing instance shares, configuring automated growth/shrink thresholds, or preventing out-of-space outages. Don't use for Cloud Storage (GCS) buckets, Persistent Disk block storage, or NetApp Volumes.
MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), building eval datasets from traces, setting up trace ingestion and production monitoring, aligning judges with MemAlign from domain expert feedback, or running optimize_prompts() with GEPA for automated prompt improvement.
Social Engagement Benchmark for cross-platform social media engagement benchmark collection, research, monitoring, analysis, and export. Use when the user asks to scrape, extract, collect, export, monitor, research, analyze, or find browser-visible cross-platform social media data for this workflow: Collect comparable engagement metrics for creators, brands, competitors, or campaigns. Covers searches such as Social Engagement Benchmark, cross-platform social media engagement benchmark scraper, cross-platform social media engagement benchmark extractor, cross-platform social media engagement benchmark export, cross-platform social media engagement benchmark research. Supports public or authorized browser-visible data through BrowserAct.
Staged rollout orchestration and monitoring for Google Play releases. Use when implementing gradual release strategies.