plaid-fintech
Expert patterns for Plaid API integration including Link token flows, transactions sync, identity verification, Auth for ACH, balance checks, webhook handling, and fintech compliance best practices. Use when: plaid, bank account linking, bank connection, ach, account aggregation.
vaex
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that don't fit in memory.
observability-monitoring-monitor-setup
You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful da
vaex
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.
query-writing
For writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations
sql-queries
Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or aggregations.
data-validation
QA an analysis before sharing with stakeholders — methodology checks, accuracy verification, and bias detection. Use when reviewing an analysis for errors, checking for survivorship bias, validating aggregation logic, or preparing documentation for reproducibility.
pandas-pro
Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation, missing value handling, groupby operations, or performance optimization.
query-writing
Used to write and execute SQL queries - from simple single-table queries to complex multi-table JOINs and aggregation operations.
databases
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.
jb-bendystraw
Bendystraw GraphQL API reference for querying Juicebox project data across all chains. Get project stats, payments, token holders, loans, NFT tiers, unified activity feeds, historical snapshots, and cross-chain aggregations.
sql-assistant
Comprehensive SQL query assistant for database operations, optimization, and troubleshooting. Use when Codex needs to write, debug, optimize, or explain SQL queries; analyze database schemas; or help with SQL-related tasks including joins, subqueries, aggregations, and performance tuning. Supports MySQL, PostgreSQL, SQLite, and other SQL dialects.
jb-loan-queries
Query REVLoans data via Bendystraw GraphQL. Use when: (1) displaying a user's loans across all revnets, (2) showing all loans for a specific revnet/project, (3) checking borrow permissions, (4) building loan management UIs. Covers LoansByAccount query, permission checking, and multi-chain loan aggregation.
simmer-copytrading
Mirror positions from top Polymarket traders using Simmer API. Size-weighted aggregation across multiple wallets.
aggregation-helper
Configure with aggregation helper operations. Auto-activating skill for Data Analytics. Triggers on: aggregation helper, aggregation helper Part of the Data Analytics skill category. Use when working with aggregation helper functionality. Trigger with phrases like "aggregation helper", "aggregation helper", "aggregation".
setting-up-log-aggregation
This skill sets up log aggregation solutions using ELK (Elasticsearch, Logstash, Kibana), Loki, or Splunk. It generates production-ready configurations and setup code based on specific requirements and infrastructure. Use this skill when the user requests to set up logging infrastructure, configure log aggregation, deploy ELK stack, deploy Loki, deploy Splunk, or needs help with observability. It is triggered by terms like "log aggregation," "ELK setup," "Loki configuration," "Splunk deployment," or similar requests for centralized logging solutions.
aggregating-performance-metrics
This skill enables Claude to aggregate and centralize performance metrics from various sources. It is used when the user needs to consolidate metrics from applications, systems, databases, caches, queues, and external services into a central location for monitoring and analysis. The skill is triggered by requests to "aggregate metrics", "centralize performance metrics", or similar phrases related to metrics aggregation and monitoring. It facilitates designing a metrics taxonomy, choosing appropriate aggregation tools, and setting up dashboards and alerts.
analyzing-logs
This skill enables Claude to analyze logs for performance insights and issue detection. It is triggered when the user requests log analysis, performance troubleshooting, or debugging assistance. The skill identifies slow requests, error patterns, resource warnings, and other key performance indicators within log files. Use this skill when the user mentions "analyze logs", "performance issues", "error patterns in logs", "slow requests", or requests help with "log aggregation". It helps identify performance bottlenecks and improve application stability by analyzing log data.
cloudbase-document-database-in-wechat-miniprogram
Use the CloudBase document database SDK for WeChat MiniProgram to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.
cloudbase-document-database-web-sdk
Use the CloudBase Document Database Web SDK to query, create, update, and delete documents. Supports complex queries, pagination, aggregation, and geolocation queries.
deduplication
Event deduplication with canonical selection, reputation scoring, and hash-based grouping for multi-source data aggregation. Handles both ID-based and content-based deduplication.
snapshot-aggregation
Daily compression of time-series data with merge logic for multiple pipeline runs, structured aggregation for dashboards, and storage estimation for capacity planning.
analytics-pipeline
Real-time analytics with Redis counters, periodic PostgreSQL flush, and time-series aggregation. High-performance event tracking without database bottlenecks.
python-scala-collections
Guide for translating Python collection operations to idiomatic Scala. Use when converting Python code that uses lists, dictionaries, sets, or involves collection transformations like map, filter, reduce, sorting, and aggregations.
axiom-sqlitedata
SQLiteData queries, @Table models, Point-Free SQLite, RETURNING clause, FTS5 full-text search, CloudKit sync, CTEs, JSON aggregation, @DatabaseFunction
axiom-sqlitedata-ref
SQLiteData advanced patterns, @Selection column groups, single-table inheritance, recursive CTEs, database views, custom aggregates, TableAlias self-joins, JSON/string aggregation
rails-query-object
Creates query objects for complex database queries following TDD. Use when encapsulating complex queries, aggregating statistics, building reports, or when user mentions queries, stats, dashboards, or data aggregation.
logging-migrator
Migrate logging infrastructure with format standardization, structured logging, and aggregation setup
log-analysis
Structured log analysis and aggregation expertise for observability and troubleshooting
market-research-aggregator
Market intelligence aggregation skill for synthesizing market data from multiple sources
Customer Feedback Aggregation
Aggregate and analyze customer feedback from multiple sources for product insights
colloidal-stability-analyzer
Colloidal stability assessment skill for evaluating nanoparticle dispersion stability through zeta potential, aggregation kinetics, and shelf-life prediction
mongodb
MongoDB schema design, aggregation pipelines, indexing strategies, and performance.
using-document-databases
Document database implementation for flexible schema applications. Use when building content management, user profiles, catalogs, or event logging. Covers MongoDB (primary), DynamoDB, Firestore, schema design patterns, indexing strategies, and aggregation pipelines.
siem-logging
Configure security information and event management (SIEM) systems for threat detection, log aggregation, and compliance. Use when implementing centralized security logging, writing detection rules, or meeting audit requirements across cloud and on-premise infrastructure.
github-skill-forge
一个"制造技能的技能"。这个工具自动化了将任意 GitHub 仓库转换为标准化 Trae 技能的全过程,是扩展 AI Agent 能力的核心工具。
observability-testing-patterns
Observability and monitoring validation patterns for dashboards, alerting, log aggregation, APM traces, and SLA/SLO verification. Use when testing monitoring infrastructure, dashboard accuracy, alert rules, or metric pipelines.
QE Test Execution
Parallel test execution orchestration with intelligent scheduling, retry logic, and comprehensive result aggregation.
setup-timescaledb-hypertables
Step-by-step instructions for designing table schemas and setting up TimescaleDB with hypertables, indexes, compression, retention policies, and continuous aggregates. Instructions for selecting: partition columns, segment_by columns, order_by columns, chunk time interval, real-time aggregation.
cloudbase-document-database-web-sdk
Use CloudBase document database Web SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.
mongodb
Guide for implementing MongoDB - a document database platform with CRUD operations, aggregation pipelines, indexing, replication, sharding, search capabilities, and comprehensive security. Use when working with MongoDB databases, designing schemas, writing queries, optimizing performance, configuring deployments (Atlas/self-managed/Kubernetes), implementing security, or integrating with applications through 15+ official drivers. (project)
perf-prof
Analyze Linux system issues with perf-prof. perf-prof is a system-level analysis tool built on perf_event; events are processed in memory in real time and it can run for long periods with low overhead. Typical trigger scenarios: (1) high CPU usage and hotspot analysis (2) abnormal process states (many D/S states) (3) latency jitter or slow responses (4) memory leaks or abnormal growth (5) slow block device I/O (6) virtual machine performance issues (7) event aggregation and statistics (8) custom script analysis. Core analyzers: profile (CPU sampling), task-state (process state analysis), multi-trace (latency analysis), kmemleak (memory leak detection), blktrace (I/O latency), top/sql (aggregation/statistics), kvm-exit (virtualization exits), rundelay (scheduling delay), syscalls (system call timing), python (custom script analysis). Suitable for performance debugging, kernel/application development and debugging, and learning or understanding Linux kernel mechanisms (scheduling, memory, I/O, interrupts, etc.).
mongodb
Provides comprehensive guidance for MongoDB database including document operations, queries, aggregation, indexes, and best practices. Use when the user asks about MongoDB, needs to work with MongoDB collections, write queries, or design MongoDB schemas.
elasticsearch
Provides comprehensive guidance for Elasticsearch including indexing, searching, aggregations, mappings, and cluster management. Use when the user asks about Elasticsearch, needs to implement search functionality, work with Elasticsearch queries, or manage Elasticsearch clusters.
mongodb
Work with MongoDB databases using best practices. Use when designing schemas, writing queries, building aggregation pipelines, or optimizing performance. Triggers on MongoDB, Mongoose, NoSQL, aggregation pipeline, document database, MongoDB Atlas.
cell-free-expression
Guidance for cell-free protein synthesis (CFPS) optimization. Use when: (1) Planning CFPS experiments, (2) Troubleshooting low yield or aggregation, (3) Optimizing DNA template design for CFPS, (4) Expressing difficult proteins (disulfide-rich, toxic, membrane).
solublempnn
Solubility-optimized protein sequence design using SolubleMPNN. Use this skill when: (1) Designing for E. coli expression, (2) Optimizing solubility of designed proteins, (3) Reducing aggregation propensity, (4) Need high-yield expression, (5) Avoiding inclusion body formation. For standard design, use proteinmpnn. For ligand-aware design, use ligandmpnn.
SECUpdates
Security news aggregation. USE WHEN security news, security updates, breaches.