Data & Analytics

is-bo Skill

Audit event semantics, consent, data quality, identity, privacy, delivery, and decision usefulness.

is-bo Skill

Verify tenant context propagation and isolation across data, cache, files, jobs, search, analytics, and administration.

is-bo Skill

Audit event semantics, consent, data quality, identity, privacy, delivery, and decision usefulness.

golemcloud Skill

Using golem:rdbms/mysql from a Rust Golem agent. Use when the user asks to connect to MySQL, run SQL, execute a MySQL transaction, or use MySQL from Rust agent code.

golemcloud Skill

Using golem:rdbms/ignite2 from a Rust Golem agent. Use when the user asks to connect to Apache Ignite 2, run SQL over Ignite, or use Ignite from Rust agent code.

golemcloud Skill

Using golem:rdbms/postgres from a Rust Golem agent. Use when the user asks to connect to PostgreSQL, run SQL, execute a Postgres transaction, or use PostgreSQL from Rust agent code.

spike-faye-lei Bundle

Master skill for legal teams using Claude. Loads the right reference for the user's question (privilege configuration, MCP hardening, MCP connector catalog, practice-area plugins, Microsoft 365 surfaces, managed agents, cold-start interview, verification, long documents, practice-area patterns, skill authoring) and routes to specialized starter skills (NDA triage, version diff, tabular review, meeting brief, citation verification, status synthesis). Auto-invokes when the user mentions legal work, contracts, redlines, NDAs, deal-room diligence, privilege, attorney-client, court filings, depositions, regulatory compliance, M&A diligence, Claude in Word/Excel/PowerPoint/Outlook, managed legal agents, or asks how to set up Claude for a law firm or in-house legal team.

shengdabai Bundle

DTC 运营与供应链优化引擎——仓储物流、库存管理、3PL 选择、发货时效、供应商管理。Use when user mentions: 运营, operations, 供应链, supply chain, 仓储, warehouse, 物流, logistics, 发货, shipping, 库存, inventory, 3PL, 履约, fulfillment, 供应商, supplier, 运营效率.

golemcloud Skill

Using golem:rdbms/mysql from a MoonBit Golem agent. Use when the user asks to connect to MySQL, run SQL, or use MySQL from MoonBit agent code.

golemcloud Skill

Using golem:rdbms/ignite2 from a MoonBit Golem agent. Use when the user asks to connect to Apache Ignite 2, run SQL over Ignite, or use Ignite from MoonBit agent code.

golemcloud Skill

Using golem:rdbms/postgres from a MoonBit Golem agent. Use when the user asks to connect to PostgreSQL, run SQL, or use PostgreSQL from MoonBit agent code.

gktuoktay Bundle

Excel (.xlsx) tabloları ve veri hesaplama dosyaları oluşturmak/okumak için yetenek.

gktuoktay Skill

Doküman ve dosya üretim süreçlerini yöneten orkestratör. PDF, Word, Excel, PowerPoint ve teknik analiz dokümanları üretir.

gktuoktay Skill

Endpoint güvenliği, rate limiting, SQL/NoSQL injection koruması, JWT ve yetkilendirme (authorization) zafiyet testleri.

howard-lynn-ye Bundle

Why an ETF's price series does not behave like the index it tracks - daily-reset leverage, NAV vs price, distributions, holdings files and fees. TRIGGER - "why is my 3x ETF down when the index is flat", TQQQ decay, SQQQ, leveraged ETF long term, inverse ETF, volatility drag, daily reset; premium to NAV, discount to NAV, iNAV, creation/redemption, "bond ETF trading below NAV"; ETF distribution, capital gains distribution, return of capital, "ETF dropped on the ex-date", phantom drop; ETF holdings file, constituents CSV, index reconstitution, Russell rebalance, "I used today's holdings for the backtest"; expense ratio drag, tracking difference vs tracking error, "ETF returned less than the index". SKIP for downloading price series and vendor adjustment defaults (market-data-sourcing) - holdings files stay here, for UNG, USO or VIXY roll yield and contango (futures-continuous-contracts), for auditing a finished backtest (research-integrity-guards), and for weights, Sharpe or drawdown (portfolio-and-risk).

howard-lynn-ye Skill

The C reference implementation of technical indicators, where every pure-Python port disagrees during warm-up and none of them say so. TRIGGER - import talib, pip install TA-Lib, ta-lib-python, talib.RSI, talib.MACD, talib.ATR, talib.ADX, talib.BBANDS, talib.OBV, from talib import abstract, talib.get_functions, unstable period, indicator warm-up, an indicator differing between two libraries or between backtest and live; "Exception: input array type is not double", a failed ta-lib C build or missing ta_libc.h. Memory is stale here: the install pain is solved - 0.7.1 (2026-07-16) ships 54 prebuilt wheels bundling the C library, including cp311-win_amd64 - while pandas-ta's repo, homepage and release history are all gone. SKIP for whether a signal actually predicts returns (factor-and-timeseries-research) and for leak-free signal construction generally (signal-construction). SKIP for choosing between libraries, or when no library is named - the domain skill's job.

howard-lynn-ye Bundle

The polars wheel is now an empty 865 KB py3-none-any shim hard-pinned to polars-runtime-32, so a lockfile listing only polars does not pin the engine. TRIGGER - polars, "import polars as pl", LazyFrame, scan_parquet, collect(), pl.col, join_asof, group_by, with_columns, polars-runtime-32, polars-runtime-64, polars-lts-cpu, polars 2.0.0rc1, "pip download polars", vendored or air-gapped polars install, polars wheel has no compiled code, porting pandas merge_asof to polars.join_asof, polars sortedness. The runtime split landed at 1.34.0b2 on 2025-09-26, so install matrices, wheel audits and lockfiles written from memory are wrong. SKIP for market-data-engineering, the skill for storage formats and time-series stores. SKIP when the question is WHICH library to choose, or names no library at all - both belong to the domain skill.

howard-lynn-ye Bundle

Compute technical indicators and engineered features without leaking the future. TRIGGER - RSI, MACD, moving average, Bollinger, ATR, ADX, Ichimoku, PSAR, stochastic or any named technical indicator; TA-Lib, pandas-ta, pandas-ta-classic, ta, talipp, finta; choosing an indicator library or reconciling two that disagree; "does this indicator repaint"; warm-up, unstable period, or an indicator differing between backtest and live; zigzag, fractals, swing highs. SKIP for judging whether a finished signal predicts returns (factor-and-timeseries-research) and for the backtest that consumes it (backtesting-engines).

howard-lynn-ye Bundle

Store, join and parallelize market data you already hold, without corrupting it. TRIGGER - as-of join, merge_asof, join_asof, ASOF JOIN, "join quotes to trades", aligning signals to prices; reading or writing Parquet, Feather, HDF5 or CSV of market data; choosing between pandas, polars, DuckDB, pyarrow, dask or ray; a time-series store such as ArcticDB, QuestDB, ClickHouse, TimescaleDB or kdb; storing years of minute bars for thousands of tickers; a dataset too big for memory; partitioning; timestamps or timezones coming back wrong; float precision on prices or volume; "different numbers when I parallelise". SKIP for choosing a data VENDOR (market-data-sourcing) - this skill starts once the bytes are yours.

aaronjmars Bundle

Build a weekly token-consumption recap image from memory/token-usage.csv - this week + all-time totals, top skills, rendered as a shareable SVG card.

howard-lynn-ye Bundle

Estimate and use a credit rating transition matrix without producing negative probabilities or a five-year default rate that is five times the wrong number. TRIGGER - rating transition matrix, migration matrix, credit migration, cohort estimator, duration estimator, Aalen-Johansen, Nelson-Aalen generator, matrix power P^5, matrix root, square root of a transition matrix, six-month transition matrix, scipy.linalg.logm, expm, embedding problem, generator of a Markov chain, "negative probability in my transition matrix", "logm gave me a negative off-diagonal", structural zero, AAA never defaults, withdrawn rating, NR, rating withdrawal, notching, cumulative default rate, "5 times the one-year PD", transitionMatrix, pyratings. SKIP for pricing a default probability or a hazard rate (credit-risk-models), for CDS quotes and upfronts (cds-mechanics-and-upfront), for bond spreads (credit-spread-measures), and for regulatory PD floors and Basel calibration (banking-regulatory).

yeaight7 Skill

Use when adding or reviewing data quality tests for dbt models in warehouse-backed analytics projects. Covers dbt generic tests, singular tests (assert_*.sql), accepted-values macros, dbt_utils patterns, cross-system consistency tests, and warehouse-oriented validation. Use when writing data tests, creating assert_*.sql files, testing business logic, or validating referential integrity.

yeaight7 Skill

Use when creating or modifying dimensional dbt models in warehouse-backed analytics projects. Covers a four-layer warehouse architecture (sources/staging/core/marts), naming conventions, no-alias SQL rule, surrogate-key and missing-record patterns, incremental strategies, deduplication, and common project macros. Use when building fact tables, dimension tables, staging models, writing SQL, or designing tests.

davekilleen Bundle

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

desesbraker Skill

Automate YouTube tasks via Rube MCP (Composio): upload videos, manage playlists, search content, get analytics, and handle comments. Always search tools first for current schemas.

desesbraker Skill

Automate Supabase database queries, table management, project administration, storage, edge functions, and SQL execution via Rube MCP (Composio). Always search tools first for current schemas.

desesbraker Bundle

Transform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.

desesbraker Skill

Automate Google Analytics tasks via Rube MCP (Composio): run reports, list accounts/properties, funnels, pivots, key events. Always search tools first for current schemas.

affaan-m Skill

X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.

affaan-m Bundle

X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.

affaan-m Skill

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

affaan-m Skill

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

projectious-work Skill

Creating Excel spreadsheets programmatically with openpyxl — worksheets, data, formulas, charts, formatting, and named ranges. Use when generating financial models, data reports, dashboards, or any structured spreadsheet from data or templates.

projectious-work Bundle

SQL query patterns, schema design, and optimization — joins, CTEs, window functions, indexing, and anti-patterns. Use when writing or optimizing SQL queries, designing or reviewing a relational schema, reading EXPLAIN plans, choosing indexes, or implementing pagination, deduplication, or analytical queries.

projectious-work Skill

SQL style — snake_case, singular tables, named constraints, one-clause-per-line formatting. Use when writing or reviewing SQL, designing schemas, or naming tables, columns, constraints, and migrations.

desesbraker Skill

Client-side tracking with Analytics.js. Include track, identify, page, and group calls. Anonymous ID persists until identify merges with user.