Data & Analytics

Screens the whole China A-share market for liquid trend-pullback buy candidates and flags rule-based exit signals for the stocks you already hold.

Query Chinese A-share quotes, adjusted historical K-lines, financials, company news, concepts, industry taxonomies, limit-up details and long-hu seats through bundled Python scripts.

Spins up a local China A-share paper-trading service plus CLI so Claude can manage accounts, place orders, and run backtests.

Generates buy candidates and exit signals for China A-share mainboard stocks using a daily trend-pullback strategy, plus batch real-time price snapshots.

Writes and validates ggsql queries that fuse SQL with a grammar-of-graphics visualization spec.

Turns a parsed document plus a user intent into four auditable card types — blue facts, green explanations, yellow risks, and red actions — with mandatory source citation.

Scans Bilibili's AI videos daily, clusters trending topics, and produces an HTML digest plus a multi-engine, cross-verified intelligence report.

Searches, compares and validates real emission factors from Carbonstop's CCDB database for product carbon footprints, LCA and corporate GHG accounting.

Defines the implementation phase of a math-modeling project: Python/MATLAB code, result tables, publication-grade figures, flowcharts and a reproduction manifest, enforced by two independent QA gates.

A dbt workflow skill that discovers project conventions first, then mandates `dbt build` and output verification before calling a model done.

Give it a ticker and it renders a daily candle JPG with EMA 9/20 crossovers marked and an RSI 14 panel.

A skill that computes option delta, gamma, theta, vega and implied volatility via a Black-Scholes command-line script.

Pulls your live Interactive Brokers PMCC positions and generates a tactical collar (protective put) report for earnings and other high-risk events.

Turns pasted reel or account insights into plain-English guidance on what to make more of and what to stop.

A five-step pre-flight checklist — config diff, run naming, path verification, monitoring, and ETA — plus restart/kill cleanup for long GPU training runs.

A decision-tree-driven skill for labeling cell types in scRNA-seq data via manual markers, automated classifiers, or reference label transfer.

Turns one validated analysis template into N variable-swapped R/Python scripts across exposure × outcome pairs, then aggregates everything into a summary results matrix.

Turns Brand Registry SFR, Market Basket and Item Comparison exports into an actionable growth strategy report.

Measures your note vault's link graph and reports orphan rate, average degree, components, hubs, bridges and clusters — plus what each number means for retrieval.

Turns historical campaign data and a recent baseline into CPM/CVR/AOV estimates and backtested budget, revenue, and contribution-profit scenarios.