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Found 776 Skills
Embedded CAN/CAN-FD debugging tool for interface scanning, message monitoring, test frame transmission, log recording, database file decoding, and bus statistics. Automatically triggered when users mention CAN, CAN-FD, DBC decoding, bus packet capture, USB-CAN joint debugging, message transmission, bus statistics, PCAN, Vector, slcan, CAN interface scanning, CAN ID filtering, ASC logs, BLF files. Also compatible with explicit invocation via /can. Even if users only say "check CAN messages", "send a test frame" or "decode DBC", this skill should be triggered as long as the context involves CAN bus communication.
Design error handling strategies for TypeScript and Python applications — exception hierarchies, Result/Either types, retry patterns, error boundaries, and structured error logging. Use when designing error handling architecture, choosing between exceptions and Result types, implementing retry logic, or building error recovery flows. Activate on "error handling", "exception hierarchy", "Result type", "retry pattern", "circuit breaker", "error boundary", "Pokemon exception". NOT for debugging specific runtime errors, logging infrastructure setup, or monitoring/alerting configuration.
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Use when Meltwater Explore searches return noisy results, media monitoring is missing coverage, journalist contacts are outdated, influencer campaigns aren't tracking properly, social publishing isn't scheduling, Meltwater API or Mira AI isn't returning expected data, or CRM/BI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).
Implement Syncfusion React Circular Gauge for displaying KPIs, sensor data, speedometers, and real-time monitoring dashboards. Use this skill when users need to visualize quantitative measurements on a circular scale. Covers axes, pointers, ranges, customization, animations, print/export, accessibility, and internationalization.
Data validation using Great Expectations. Expectation suites, checkpoints, and data docs for pipeline monitoring.
Use for all ClawSweeper work: OpenClaw issue/PR sweep reports, commit-review reports, repair jobs, cloud fix PRs, @clawsweeper maintainer mention commands, trusted ClawSweeper-reviewed autofix/automerge, GitHub Actions monitoring, permissions, gates, and manual backfills.
Track, optimize, and control token consumption across multi-agent systems. Covers budget allocation, real-time monitoring, cost attribution, per-agent limits, and proactive cost optimization for production LLM deployments.
Build and operate predictive models for logistics networks—demand forecasting at SKU/location/lane granularity; inventory positioning and safety stock optimization interfaces; ETA and lead-time prediction; capacity and congestion signals; route and network flow forecasting at model-integration level; cold chain and perishables; promotion and seasonality; model monitoring, drift, and backtesting against operational KPIs (fill rate, OTIF, WMAPE/MAPE). Use for predictive logistics, demand forecasting logistics, ETA prediction, inventory positioning, safety stock optimization, OTIF forecast, lane demand, WMAPE, logistics ML, capacity forecasting logistics, or cold chain forecast—not pure OR/MIP without logistics domain (operations-research-algorithm-developer), supply chain strategy only (supply-chain-manager), WMS feature dev (wms-developer), fleet telematics ingestion (geospatial-telematics-developer), generic ML without logistics (data-scientist), or EDI document mapping (edi-engineer).
Brain-augmented web research. Sends brain context about a topic to Perplexity, which searches the web with citations and returns what is NEW vs what the brain already knows. Use for entity enrichment, current-state checks, deal monitoring, and freshness deltas. NOT for simple URL fetches (use web_fetch) or brain-only queries (use gbrain query).
A-share Market Daily Review System. Actively invoked when users mention needs such as market review, market analysis, or tomorrow's market prediction. Covers: Market Environment, Sentiment Cycle, Main Line Identification, Capital Monitoring, Post-Market Variables, Tomorrow's Combat Map. For research reference only, does not constitute securities investment consulting business or investment advice.
Detect DCSync attacks where adversaries abuse Active Directory replication privileges to extract password hashes by monitoring for non-domain-controller accounts requesting directory replication via DsGetNCChanges.
Router skill for LLMQuant credit workflows. Use when the user needs issuer credit review, spread regime analysis, high-yield stress monitoring, default risk, debt maturity, or covenant context.