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Found 523 Skills
ALWAYS LOAD WHEN WORKING WITH PYSIDE6, QT, OR DESKTOP GUI CODE. PySide6 desktop apps: Manager→Service→Wrapper architecture, qasync integration, signals, system tray, testing.
Signal-gated HODLMM yield allocator. Reads aibtc.news signals and Quantum Readiness Index alongside live HODLMM APR to compute a risk-adjusted yield score, then executes a Bitflow swap to prepare wallet for HODLMM deposit when conditions align.
Smart Money Signal Copy Trade v1.0 — onchainos Agentic Wallet + Cost-Aware TP + Dev/Bundler Safety + Session Risk Control. Triggers when the user mentions smart money strategy, signal strategy, copy trading, whale tracking, KOL copy trading, on-chain signal trading, co-riding addresses, take profit / stop loss, risk preference, or wants to automatically buy/sell based on smart money signals. Runtime file: bot.py (includes Web Dashboard http://localhost:3248) Config file: config.py (hot-reload)
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).
Investigate Kubernetes workload, node, and control-plane issues using OTel telemetry (EDOT). Use when diagnosing pod failures (CrashLoopBackOff, OOMKilled, Error), node pressure, resource exhaustion, image pull failures, admission rejections, autoscaling anomalies, or correlating K8s state with application signals. OTel ingest path only — the legacy ECS Kubernetes integration shape is out of scope.
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
Use to define schemas, topic tags, and lineage metadata for enriched signals.
Performs Technical Due Diligence on startups. Analyzes code (if available) or evaluates public signals (hiring, blogs) to assess technical risk and team maturity.
Use when asked to "shape up", "run a shaping session", "set an appetite", "scope a project without estimates", "betting table", or "ship in fixed cycles". Helps teams escape estimate-driven development and Scrum fatigue. The Shape Up method (created by Ryan Singer at Basecamp/37signals) uses fixed time boxes, variable scope, and collaborative shaping to ship meaningful work predictably.
Pattern reference for building Deco storefronts. Covers how a site uses the framework (@deco/deco) and apps (deco-cx/apps) together — CMS wiring via __resolveType, section patterns (loaders, LoadingFallback, JSDoc annotations for admin), client-side patterns (invoke proxy, signals, islands, analytics), and app composition (site.ts factory, AppContext, theme, images). Based on analysis of production sites like osklenbr. Use when building new sections, wiring CMS data, creating islands, setting up analytics, composing apps, or understanding how sites connect to the Deco ecosystem.
Record and analyze post-trade outcomes for signals generated by edge pipeline and other skills. Track false positives, missed opportunities, and regime mismatches. Feed results back to edge-signal-aggregator weights and skill improvement backlog.
Read Telegram channels and groups for financial news and market research using tdl (read-only). Use this skill whenever the user wants to read Telegram channels, export messages from financial Telegram groups, list their Telegram chats, search for news in Telegram channels, or gather market intelligence from Telegram. Triggers include: "check my Telegram", "read Telegram channel", "Telegram news", "what's new in my Telegram channels", "export messages from", "list my Telegram chats", "financial news on Telegram", "crypto Telegram", "market news Telegram", any mention of Telegram in context of reading financial news, crypto signals, or market research. This skill is READ-ONLY — it does NOT support sending messages, joining channels, or any write operations.