Data & Analytics

whyzsm Bundle

Use CloudBase document database Web SDK only for confirmed NoSQL collection work. Query, create, update, and delete document data; if the task mentions PostgreSQL / CloudBase PG / app.rdb(), route to postgresql-development instead.

whyzsm Skill

This is the required documentation for agents operating on the CloudBase Relational Database through MCP. It defines the canonical SQL management flow with `querySqlDatabase`, `manageSqlDatabase`, `queryPermissions`, and `managePermissions`, including MySQL provisioning, destroy flow, async status checks, safe query execution, schema initialization, and permission updates.

arogyareddy Skill

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

arogyareddy Skill

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

bkywksj Skill

Tauri 本地数据库操作技能，使用 rusqlite 进行 SQLite 数据库操作。 触发场景： - 需要在桌面应用中持久化数据 - 需要使用 SQLite 数据库 - 需要设计本地数据表结构 - 需要执行 CRUD 数据库操作 触发词：数据库、SQLite、SQL、持久化、存储、表、查询、CRUD、数据

baixuanzhu Bundle

Java 代码质量与安全的工具化门禁助手。在完成任何 Java / Spring Boot 代码的编写、修改、 重构后，或用户要求提交前检查、代码写完验证、代码审查 / code review、修复扫描告警、 质量门禁、静态扫描、安全扫描（SQL 注入 / 弱加密 / 路径穿越 / XXE / SSRF / 硬编码密钥）时使用本技能—— 无论用户是否提到具体工具（PMD / SpotBugs / FindSecBugs / Java 规约 / lint / static analysis）。 本技能用 JVM 插件链（PMD 7 + 自带规则集、SpotBugs + FindSecBugs）实跑扫描并按严重级修复， 直到 Blocker/Critical 清零才算交付。 完成任意 Java 代码任务后建议激活本技能做交付前门禁。 不适用：非 JVM 语言、纯前端、无 Maven/Gradle 的项目、DDL / 架构设计。

baixuanzhu Bundle

MyBatis-Plus 开发助手。在 Java / Spring Boot 项目中开发任何数据库 增删改查（CRUD）、分页查询、条件查询、Mapper / DAO / Service 层、实体类与表映射、 联表 / 复杂查询写 XML、事务相关功能时使用本技能——无论用户是否提到 MyBatis-Plus （MyBatis-Plus / MyBatis Plus / MP / baomidou / CRUD / pagination / ORM / DAO / entity mapping）。 次级触发信号——代码或 pom 中出现：mybatis-plus-boot-starter、 extends BaseMapper / IService / ServiceImpl、 QueryWrapper / LambdaQueryWrapper / LambdaUpdateWrapper、 @TableName / @TableId / @TableField / @TableLogic、 MybatisPlusInterceptor / MetaObjectHandler、 selectPage / saveBatch / IPage、logic-delete-field / mapper-locations / @DS； 用户任务词或报错出现：分页失效 / total 为 0 / 返回全量、更新后字段没变 / 字段置 null 不生效、 逻辑删除 / 软删除、批量插入 / 批量导入 / saveBatch 慢、乐观锁、创建时间自动填充、 多租户 / 数据权限 / 分表 / 动态表名、雪花 ID / 主键策略、枚举存数据库、联表查询、 事务不回滚、Invalid bound statement (not found)。 依赖含 mybatis-plus-* 或代码出现上述令牌时必须使用；纯 MyBatis、无 ORM 或 ORM 未知， 先询问用户是否引入 MyBatis-Plus 再开发。 不适用于：已使用 JPA / Hibernate 的项目（不建议迁移）、表结构设计 / DDL、纯 SQL 性能调优 （连接池 / 索引 / 慢查询属 DBA 层）。

baixuanzhu Bundle

MyBatis-Plus（baomidou）Java ORM 增强框架开发助手。 在 Java / Spring Boot 项目中开发任何数据库增删改查（CRUD）、分页查询、条件查询、 Mapper / DAO / Service 层、实体类与表映射、逻辑删除、批量插入、乐观锁、自动填充、 事务管理、SQL / XML Mapper 相关功能时使用本技能——无论用户是否提到 MyBatis-Plus （CRUD / pagination / ORM / DAO / database query / entity mapping / transaction）。 项目依赖已含 mybatis-plus（mybatis-plus-boot-starter 及 mybatis-plus-spring-boot*-starter 系列，覆盖 SpringBoot 2/3/4）或代码出现 BaseMapper / IService / ServiceImpl / LambdaQueryWrapper / LambdaUpdateWrapper / @TableId / @TableField / @TableLogic / saveBatch / selectPage 时必须使用本技能；纯 MyBatis、无 ORM 或 ORM 未知项目，先主动询问用户是否引入 MyBatis-Plus 再开发。 不适用于：已使用 JPA / Hibernate 的项目（不建议迁移）、数据库表结构设计/DDL、纯 SQL 性能调优 （连接池/索引/慢查询属 DBA 层）。

aizech Bundle

Retrieves and analyzes operational metrics from radiology information systems. Use when user mentions "radiology KPIs", "productivity metrics", "turnaround time analysis", "workload distribution", or needs operational analytics.

amplitude Skill

Analyzes what users ask AI agents about and how well each topic is served. Only use when the user has Amplitude Agent Analytics instrumented in their project. Use when the user asks "what are people asking the AI", "top AI topics", "where is the AI struggling", "AI coverage gaps", "what should we improve in our AI", or wants product insights from AI conversation patterns.

amplitude Skill

Given event_candidates YAML (output from discover-event-surfaces), generates a concrete instrumentation plan for priority-3 (critical) events. Acts as a Software Architect: discovers existing analytics patterns in the codebase, reads the hinted files to determine what variables are in scope, designs minimal chart-useful properties, and identifies the exact insertion point for each tracking call. Outputs a structured JSON trackingPlan. Use this as step 3 of the analytics instrumentation workflow, after discover-event-surfaces. Trigger whenever a user has event_candidates and wants to generate tracking code, asks "instrument these events", "generate tracking plan", "add analytics for these events", "where should I put the tracking calls", or any request to turn event candidates into concrete implementation guidance.

amplitude Skill

Monitors AI agent health across quality, cost, performance, and errors. Only use when the user has Amplitude Agent Analytics instrumented in their project. Use when the user asks "how are our AI agents doing", "AI quality check", "agent health", "AI errors", "agent performance", "LLM cost", or wants a proactive health report on their AI/LLM features.

amplitude Skill

Deep-dives into specific AI agent sessions or failure patterns to explain why something went wrong. Only use when the user has Amplitude Agent Analytics instrumented in their project. Use when investigating a specific session ID, debugging agent failures, understanding why quality is low, tracing tool errors, or when monitor-ai-quality surfaces an issue that needs root cause analysis.

amplitude Skill

Given a change_brief YAML (output from diff-intake), generates an exhaustive list of candidate analytics events to instrument. Takes the perspective of an engineer with a PM mindset — surfaces everything worth considering so a PM can decide what actually matters. Use this as step 2 of the analytics instrumentation workflow, immediately after diff-intake produces a change_brief. Trigger whenever a user has a change_brief YAML and wants to know what analytics events to add, or asks "what should I track for this PR", "what events should I instrument", "generate event candidates", or any request to surface analytics coverage gaps for a code change.

amplitude Skill

Discovers how analytics tracking calls are actually written in this codebase — the concrete SDK calls, function signatures, and import patterns used to send events. Use this skill whenever you need to understand the existing analytics instrumentation patterns before adding new tracking, when someone asks "how do we track events here?", "show me the analytics setup", "what's the analytics pattern in this codebase?", or any time the instrument-events or discover-event-surfaces skills are about to run and you need to know the correct coding style to follow. Outputs a deduplicated list of patterns with generalized examples and the file paths where each pattern appears, plus the dominant event and property naming conventions inferred from those call sites. Always use this skill before writing any analytics instrumentation code.

amplitude Skill

End-to-end analytics instrumentation workflow for a PR, branch, file, directory, or feature. Reads the code, discovers what events should be tracked, and produces a concrete instrumentation plan — all in one shot. Use this skill whenever a user wants to add analytics to a PR, asks "instrument this PR", "add tracking to this branch", "what analytics does this file need", "instrument the checkout flow", "run the full instrumentation workflow", or any request that implies going from code changes to a tracking plan. Also trigger when the user gives you a PR link, branch name, file path, or feature description and mentions analytics, events, or instrumentation. This is the main entry point for the analytics workflow — prefer it over calling the individual steps (diff-intake, discover-event-surfaces, instrument-events) separately.

halojerry Skill

Use this skill any time a .xlsx file is involved -- as input, output, or both. This includes: creating spreadsheets, financial models, dashboards, or trackers; reading, parsing, or extracting data from any .xlsx file; editing, modifying, or updating existing workbooks; working with formulas, charts, pivot tables, or templates; importing CSV/TSV data into Excel format. Trigger whenever the user mentions 'spreadsheet', 'workbook', 'Excel', 'financial model', 'tracker', 'dashboard', or references a .xlsx/.csv filename.

halojerry Skill

Use this skill to build a multi-element Excel dashboard — Dashboard sheet on open, multiple formula-driven KPI cards, multiple charts, sparklines, and conditional formatting — from CSV or tabular input. Trigger on: 'dashboard', 'KPI dashboard', 'analytics dashboard', 'executive dashboard', 'metrics dashboard', 'CSV to dashboard', 'data visualization'. Output is a single .xlsx. Scene-layer on officecli-xlsx: inherits every xlsx hard rule. DO NOT invoke for: a single budget tracker / one-sheet CSV-with-formatting (use xlsx), a 3-statement / DCF / LBO financial model (use financial-model), a weekly report with ≤ 1 chart and < 10 rows (use xlsx).

halojerry Skill

Use this skill when the user wants to build a financial model — 3-statement model, DCF valuation, LBO, SaaS unit economics, sensitivity / scenario analysis, debt schedule, or fundraising projections — in Excel. Trigger on: 'financial model', '3-statement model', 'P&L + BS + CF', 'DCF', 'WACC', 'NPV', 'terminal value', 'LBO', 'debt schedule', 'cash sweep', 'MOIC', 'IRR / XIRR', 'sensitivity table', 'scenario analysis', 'ARR model', 'unit economics', 'CAC / LTV', 'cap table forecast'. Output is a single formula-driven .xlsx. This skill is a scene layer on top of officecli-xlsx — it inherits every xlsx v2 rule (4-color code, visual floor, number formats, cache-drift, Known Issues, Delivery Gate minimum cycle). DO NOT invoke for a simple budget tracker, CSV dump, or operational KPI sheet — route those to officecli-xlsx base.

posteyai Bundle

Read what a post or an account actually did, say what the numbers support, and turn that into the next content decision. Includes the checks that stop a number being read as a result when it is not one.

znlgis Bundle

Read and write Microsoft Word (.docx) and Excel (.xlsx) files by converting to/from plain text or Markdown. Use when the task mentions reading a Word/Excel document, extracting text from .docx/.xlsx, creating a .docx/.xlsx, or "读 Word", "读 Excel", "生成 docx", "写 xlsx". Pure-Python via bundled scripts; no MS Office or MCP required.

somnio-software Skill

Audits and optimizes a repository's Claude Code configuration so path-scoped rules load lazily and CLAUDE.md stays a lightweight always-loaded index. First maps the real project tree (domains, monorepo package roots, extensions, generated/frozen areas) so every path glob is derived from and validated against actual files — stale globs that match zero files and over-broad ones are caught. Three areas: (1) migrate .claude/rules/**/*.md frontmatter to the native lazy-load `paths:` YAML-array form (away from eager `globs:` or red-flagged CSV `paths:`) with accurate, tree-validated patterns; (2) slim CLAUDE.md files to an index + rule map and delete redundant @import-only shells; (3) audit/install the PreToolUse(Write) hook that works around the read-not-create caveat. Audits first, shows a report, asks for confirmation, then applies. Pass --audit-only to skip applying.

timsmykov Bundle

Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain formats are reference-only and unknown formats fail closed.

fcsouza Bundle

Use when tracking player events, implementing retention analytics, building engagement funnels, measuring D1/D7/D30 retention, or setting up gameplay telemetry. Triggers: analytics, telemetry, events, retention, D1 D7 D30, funnel, engagement, session tracking, player behavior.

helloeveryboby Skill

微软 Office 官方套件全能助手。精通 Word 文档排版、Excel 数据分析与公式、PowerPoint 演示设计、Outlook 邮件管理及 OneNote 笔记整理。当用户需要创建文档、处理表格、制作幻灯片、管理邮件或整理笔记时，应启用此技能。

cockroachlabs Bundle

Monitors CockroachDB background job health by identifying failed, paused, and long-running jobs using SHOW JOBS and SHOW AUTOMATIC JOBS. Surfaces schema changes, backups/restores, automatic statistics collection, and SQL stats compaction jobs without DB Console access. Use when investigating schema change delays, failed backups, or automatic job issues.

cockroachlabs Bundle

Diagnoses live CockroachDB cluster performance issues by identifying long-running queries, busy sessions, and active transactions using SQL-only interfaces. Use when users report cluster slowness, high CPU, or need to find runaway queries and their source applications without DB Console access.

cockroachlabs Skill

Guides benchmarking and comparing explicit multi-statement transactions versus single-statement CTE transactions in CockroachDB, with fair test methodology, contention analysis, and performance interpretation. Use when comparing transaction formulations, benchmarking CockroachDB workloads under contention, investigating retry pressure, or deciding whether to rewrite multi-step application flows into single SQL statements.

cockroachlabs Bundle

Guides application developers in designing correct and performant transaction patterns for CockroachDB, covering transaction lifetime, implicit vs explicit transactions, retry handling with exponential backoff, pushing invariants into SQL, selective pessimistic locking, set-based operations, connection pooling, prepared statements, keyset pagination, follower reads, and separating business logic from database logic. Use when building applications on CockroachDB, designing transaction workflows, handling retries, optimizing application-layer database interactions, or configuring connection pools.

cockroachlabs Bundle

Ranks and analyzes statement fingerprints using aggregated SQL statistics from crdb_internal.statement_statistics to identify slow, resource-intensive, or error-prone query patterns. Use when investigating historical performance trends, identifying optimization opportunities, or diagnosing recurring slowness without DB Console access.

databricks-solutions Bundle

Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities. This skill MUST be invoked when the user mentions: "DBSQL", "Databricks SQL", "SQL warehouse", "SQL scripting", "stored procedure", "CALL procedure", "materialized view", "CREATE MATERIALIZED VIEW", "pipe syntax", "|>", "geospatial", "H3", "ST_", "spatial SQL", "collation", "COLLATE", "ai_query", "ai_classify", "ai_extract", "ai_gen", "AI function", "http_request", "remote_query", "read_files", "Lakehouse Federation", "recursive CTE", "WITH RECURSIVE", "multi-statement transaction", "temp table", "temporary view", "pipe operator". SHOULD also invoke when the user asks about SQL best practices, data modeling patterns, or advanced SQL features on Databricks.

databricks-solutions Bundle

Create and query Databricks Genie Spaces for natural language SQL exploration. Use when building Genie Spaces or asking questions via the Genie Conversation API.

databricks-solutions Bundle

Builds Python-based Databricks applications using Dash, Streamlit, Gradio, Flask, FastAPI, or Reflex. Handles OAuth authorization (app and user auth), app resources, SQL warehouse and Lakebase connectivity, model serving integration, and deployment. Use when building Python web apps, dashboards, ML demos, or REST APIs for Databricks, or when the user mentions Streamlit, Dash, Gradio, Flask, FastAPI, Reflex, or Databricks app.

databricks-solutions Bundle

Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions across teams and tools.

databricks-solutions Bundle

Create and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL exploration, and Supervisor Agents (MAS) for multi-agent orchestration. Use when building conversational AI applications on Databricks.

databricks-solutions Skill

Create Databricks AI/BI dashboards. CRITICAL: You MUST test ALL SQL queries via execute_sql BEFORE deploying. Follow guidelines strictly.