Data & Analytics

starchild-ai-agent Bundle

View, filter, merge, convert, and analyze CSV files. Use when the user needs to work with CSV data — inspect structure, filter rows, merge files, compute stats, or convert to JSON/JSONL.

starchild-ai-agent Bundle

Compare two JSON or CSV snapshots by primary key and report added, removed, and changed records. Use for billing reconciliation, external-system sync checks, data quality audits, and scheduled drift monitoring.

starchild-ai-agent Bundle

Meta DEX Aggregator - aggregator of aggregators. Compares quotes across ParaSwap, Odos, KyberSwap, CowSwap, Matcha/0x, and 1inch to find the best swap price. Includes safety layer: price impact detection, gas-adjusted ranking, MEV protection flagging, slippage warnings, outlier quote rejection, built-in execution with verification, CowSwap order polling, historical quote logging, winner analytics, market orders, auto-verify, and retry logic.

cowork-os Skill

Load a CSV and provide insights

coco-research Bundle

Data & Analytics Super Intelligence Team

teoslayer Bundle

Exchange structured datasets with schema negotiation and metadata over Pilot Protocol. Use this skill when: 1. You need to share CSV, JSON, or Parquet datasets with schema information 2. You want to negotiate data formats and transformations before transfer 3. You need to maintain dataset lineage and provenance metadata Do NOT use this skill when: - You need to transfer unstructured files (use pilot-share instead) - You need real-time data streaming (use pilot-stream-data instead) - You need ML model files (use pilot-model-share instead)

kumaran-is Bundle

This skill should be used when designing database schemas for SQL or NoSQL databases. It provides normalization guidelines, indexing strategies, migration patterns, and performance optimization.

kumaran-is Bundle

Transforms slow PostgreSQL queries into fast operations through systematic EXPLAIN ANALYZE, indexing strategies, N+1 elimination, cursor pagination, and materialized views. Use when diagnosing slow queries, optimizing database performance, or designing index strategies — always profile before optimizing.

vishuwa2004 Bundle

Translate a streaming subagent run into task progress, analytics, and notifications while keeping partial results and cleanup tidy.

aradotso Skill

Easy Digital Downloads MCP server for sales analytics, order management, and product data via natural language

aradotso Skill

Build and query a self-improving context layer for AI data agents with ktx - combines warehouse metadata, metrics, and wiki knowledge

aradotso Skill

Easy Digital Downloads MCP server for sales analytics, product management, and customer data orchestration

aradotso Skill

Context layer for data agents that teaches AI how to query warehouses accurately with approved metrics, semantic layers, and business knowledge

aradotso Skill

Rust-native MCP server for Office document processing (Excel, Word, PowerPoint, PDF) with sub-millisecond performance

aradotso Skill

Executable context layer for data and analytics agents with skills, memory, and semantic layer for accurate warehouse queries

aradotso Skill

Rust-native MCP server for Office document processing (Excel, Word, PowerPoint, PDF) with sub-millisecond performance

malekokour Bundle

Reviews an assembled pharmacokinetic data package prepared for a dose-escalation or safety-review committee, checking that it is internally consistent with the listings it was built from, complete against what it is required to contain, and consistent with the previous cohort's package — producing a source-linked register of open items for a qualified clinical pharmacologist. Use this skill when someone asks to check, QC or sanity-check an already-assembled cohort PK package, escalation-meeting slide pack or interim PK summary before a human reviewer takes it forward — for example "check the cohort 3 PK pack against the interim listings" or "is anything missing from this package". Do not use for verifying NCA derivations themselves, for reviewing the PK sections of a CSR, or for any request to recommend, support, justify or decide whether to escalate, hold or stop a dose — real-time escalation decisions are excluded from this skill entirely.

malekokour Bundle

Reviews the dose-escalation design of a first-in-human or early-phase study — increment sizes and what justifies them, sentinel and staggering arrangements against the mechanism's risk features, and whether stopping rules are specific enough to apply under pressure. It flags increments justified only by convention, levels whose predicted exposure passes the study's own exposure cap, and rules that require a judgment call rather than stating a trigger. Use it for an escalation schema in a protocol or amendment, or to prepare a design for safety-committee review. Example: "Please an escalation schema in a protocol or amendment." Do not use for starting-dose derivation, for nonclinical package adequacy, for late-phase dose-modification schemes, for deciding whether to escalate a live cohort, or to select or approve any dose.

zhou210712 Skill

主体合规追踪器——初始化、报告即将到来的截止日、更新状态、运行健康审计、 导出为 CSV。维护从主体清单构建的 compliance-tracker.yaml，按主体和 注册地计算申报截止日，呈现未来30/60/90天内的待办事项。当用户说"主体合规" "申报截止日""年报到期""主体追踪器""什么申报到期""主体健康"或"存续状态"时使用。

bdambrosio Bundle

Extract metadata/structured fields from each Note in Collection (SQL SELECT)

bdambrosio Bundle

Filter Collection by field conditions (SQL WHERE)

bdambrosio Bundle

Tests join primitive (INNER JOIN)

bdambrosio Bundle

Tests sort primitive (ORDER BY)

bdambrosio Bundle

Tests pluck primitive (SELECT single field)

bdambrosio Bundle

Creates test data for JSON SQL primitive tests

bdambrosio Bundle

Tests filter-structured primitive (WHERE clause)

bdambrosio Bundle

Tests project primitive (SELECT fields)

bdambrosio Bundle

Test JSON SQL primitives with search-web output

bdambrosio Bundle

Test JSON SQL primitives with semantic-scholar output

aiunlocked1412 Bundle

เขียน SQL วิเคราะห์ insight สรุป finding และออกแบบ dashboard — แปลงตัวเลขเป็น action

aiunlocked1412 Bundle

ตรวจช่องโหว่ OWASP Top 10 JWT SQL injection CSRF พร้อมเสนอวิธีแก้แบบ pentester

haomingz Bundle

Specialized utility for advanced manipulation, analysis, and creation of spreadsheet files, including (but not limited to) XLSX, XLSM, CSV formats. Core functionalities include formula deployment, complex formatting (including automatic currency formatting for financial tasks), data visualization, mandatory post-processing recalculation, and finance-focused Excel modeling workflows such as three-statement models, DCF valuation, and public comps analysis.

haomingz Bundle

CSV数据异常检测工具，使用Z-score、IQR（四分位距）、移动平均偏离三种方法进行扫描，并自动将检测到的异常点分类为「可解释」或「需关注」，输出详细的JSON报告。当用户需要异常检测、离群值排查或数据质量巡检，提及outlier detection、Z-score、IQR、移动平均偏离等关键词或直接上传CSV文件时触发。

haomingz Bundle

从学习材料（文本、Markdown、笔记）中提取核心知识点，生成符合间隔重复记忆原理的正面问题+反面答案闪卡，输出可直接导入Anki的CSV文件。当用户提到闪卡、Anki、记忆卡片、知识点提取、复习卡片、间隔重复，或需要将学习内容转换成问答对进行复习时触发。

haomingz Bundle

ETF多维对比工具：基于用户提供的净值CSV数据，自动计算并对比多只ETF或基金的年化收益率、最大回撤、夏普比率，并生成相关性矩阵图表。当用户需要对比基金风险收益、计算年化收益/最大回撤/夏普比率、进行相关性分析，或提到关键词如ETF对比、净值分析、风险收益、波动率、Sharpe Ratio、max drawdown时触发。

haomingz Bundle

对 CSV/Excel 数据执行线性回归（OLS）或逻辑回归（Logistic），一键输出完整统计结果（包含回归系数、R²、p值、VIF等）和中文通俗解读。当用户提及回归分析、拟合模型、查看系数显著性、R方、p值、共线性（VIF），或使用关键词如 回归、regression、OLS、logit、拟合、显著性 时触发。