database-conventions
Apply Grey Haven database conventions - snake_case fields, multi-tenant with tenant_id and RLS, proper indexing, migrations for Drizzle (TypeScript) and…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-04 00:13
17,348 results
Apply Grey Haven database conventions - snake_case fields, multi-tenant with tenant_id and RLS, proper indexing, migrations for Drizzle (TypeScript) and…
Apply Grey Haven's TanStack ecosystem patterns - Router file-based routing, Query data fetching with staleTime, and Start server functions. Use when building…
Export skill usage data to CSV or JSON format. Includes run metrics, reactions, and version hashes for external analysis.
W3C DID Core specification—DID/DID URL syntax, data model, core properties, verification methods, services, representations, and DID methods.
Patent Map: opens five kinds of maps by name after a plain-language interpretation of the Obsidian cases already ingested into the vault. The terrain is spread out according to bge-small-zh vectors.
Use when operating databases, writing migrations, designing schemas, managing transactions, creating indexes, using ORMs such as Prisma/Sequelize/TypeORM/Mongoose, or performing SQL/NoSQL operations.
A pattern recognition engine based on Chan Theory (Chan Zhong Shuo Chan), using the czsc library to automatically detect candlestick fractals, strokes, and centers, and generate buy/sell point signals such as first buy/first sell, second buy/second sell, third buy/third sell, etc. Supports multi-timeframe analysis and pattern classification (3/5/7/9/11-stroke patterns).
Corporate event-driven analysis: merger arbitrage spread calculation, major shareholder increase/decrease signals, equity incentive interpretation, private placement/rights issue impact assessment, A-share ST/delisting warnings
Fixed Income and Credit Analysis: credit bond ratings, spread analysis, default risk assessment, local government financing vehicle bond research, convertible bond pricing and strategies.
Eastmoney (东方财富) free, authentication-free data interfaces, covering capital flow, Dragon-Tiger List, margin trading and securities lending, block trades, number of shareholders, restricted share unlocking, industry and concept sectors, brokerage research reports, financial news, A-share/Hong Kong stock three major financial statements + key indicators, whole-market stock screening and code search; US stock financial reports are converted from SEC EDGAR by get_financial_statements. Eastmoney requests go through a shared IP...
Minute-level data analysis and backtesting. Retrieves minute candlesticks through OKX/Tushare/yfinance and can be used both for analysis and as input to the…
Machine-learning predictive strategy based on sklearn walk-forward training, feature engineering, and signal generation. Suitable for any OHLCV data.
Mootdx A-share market data via TCP-direct TDX servers. RETIRED 2026-10 — TDX servers stopped answering the client protocol, so this source is out of the…
Options strategy framework supporting Black-Scholes pricing, Greeks analysis, and multi-leg backtesting. Suitable for cryptocurrency and equity options.
Paid capability marketplace for global multi-asset data; use it when free Vibe-Trading sources lack coverage, depth, or provider quality, and keep free sources…
Shadow Account — distills profitable patterns from a user's trade confirmations (3-5 plain-language rules) → backtests across A-shares/HK/US/crypto multi-market → difference attribution → 8-section PDF report. Narrative: your shadow, without emotional noise.
MNE-Python for MEG/EEG/iEEG/fNIRS analysis pipelines, from loading raw signals to epoching, preprocessing, time-frequency analysis, inverse modeling, and reporting. Use when working with mne.create_info, mne.io.RawArray, mne.Epochs, mne.compute_covariance, mne.preprocessing.ICA, mne.time_frequency.psd_array_welch, mne.make_sphere_model, mne.Report, sensor/source-space workflows, or electrophysiology quality control.
📐 Zhan Mingming · Will the big client run away — a checkup on customer and revenue concentration. How much of your money is "lost the moment one person gets unhappy": how much a few big clients account for, how much one channel brings in, how much one product supports. Calculate "how many months you can last after losing the biggest one", and give a risk list and a forbidden-actions list. Trigger: /zmm-concentration, /big-client risk, /concentration, "will the big client run away", "one client accounts for…
📐 Zhan Mingming · Where did this month's money go — revenue anomaly attribution. If there's less money this month (or more), is it because there are fewer customers, each person buys less, or the unit price changed — the actions for these three causes are completely opposite, and if you can't tell them apart you'll do the wrong thing. It also identifies "silent erosion": dropping just a little each month, each single month looking like normal fluctuation, but fatal when accumulated. Trigger methods: /zmm-revenue, /where did the money go, /revenue attribution, "why is there less this month", "revenue dropped…
📐 Zhan Mingming · Post-publish Retrospective —— short video retrospective skill. After publishing, pull back the real platform data, do attribution discussion against the predictions made before publishing, and write verified patterns into skill memory —— let the system learn "why this one went viral". Trigger method: /zmm-retro, /data is out, /retrospective, /zmm-retrospective, "this one's data is out", "why did this one go viral", "why didn't this one go viral", "let's do a retrospective" Post-publis…
Read an ibl.ai agent's conversation history and summaries via the platform API — list conversations with sentiment/topic/user/date filters, get general…
Read ibl.ai analytics via the platform API across agents, content, and users — overview KPIs, users, topics, transcripts, costs, courses, programs, and audit —…
Convex Migrations component (@convex-dev/migrations) — online, batched data migrations for Convex databases. Define migrations that transform documents…
Use when you need to know whether an IFC file is valid, interpret a buildingSMART validation report, or understand what "schema-conformant" and "normative"…