数据库
数据库管理与查询
simplemem-skill
aiming-lab
Store and retrieve conversation memories across sessions. Use when asked to 'remember this', 'save conversation', 'add to memory', 'what did we discuss about...', 'query memories', or 'import chat history'. Also use proactively to preserve important dialogue context and decisions.
profiling-tables
astronomer
Deep-dive data profiling for a specific table. Use when the user asks to profile a table, wants statistics about a dataset, asks about data quality, or needs to understand a table's structure and content. Requires a table name.
architecture-paradigm-functional-core
athola
'Functional Core, Imperative Shell: isolate deterministic logic from
architecture-paradigm-service-based
athola
'Coarse-grained service architecture for deployment independence without
architecture-paradigm-event-driven
athola
'Asynchronous event-based communication to decouple producers/consumers
buying-signals-6
sachacoldiq
6 buying signals ranked by purchase correlation - Former Customers, New Leadership, High-Intent Website, Tech Stack Change, Expansion, and Hiring/Downsizing. Use when prioritizing outreach, building signal-based campaigns, or setting up intent tracking.
architecture-paradigm-space-based
athola
'Data-grid architecture for high-traffic stateful workloads with linear
architecture-paradigm-modular-monolith
athola
'Single deployable with enforced module boundaries for team autonomy
Data Agent - 数据分析师
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architecture-paradigm-hexagonal
athola
'Decouple domain logic from infrastructure using Hexagonal (Ports & Adapters)
query-validation
nimrodfisher
SQL query review and validation for correctness, performance, and best practices. Use when reviewing queries for logical errors, optimizing query performance, checking for SQL anti-patterns, or validating business logic implementation in SQL.
schema-mapper
nimrodfisher
Database schema understanding and relationship mapping. Use when exploring unfamiliar databases, documenting table relationships, identifying join paths, or generating ERD documentation for existing schemas.
programmatic-eda
nimrodfisher
Systematic exploratory data analysis following best practices. Use when analyzing any dataset to understand structure, identify data quality issues (duplicates, missing values, inconsistencies, outliers), examine distributions, detect correlations, and generate visualizations. Provides comprehensive data profiling with sanity checks before analysis.
decision-support
jmagly
Trade-off catalog: docs/common-tradeoffs.md
config-validator
jmagly
Migration guides: docs/config-migrations.md
lamindb
jimmc414
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
hmdb-database
jimmc414
"Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification."
query-writing
apconw
用于编写和执行 SQL 查询 - 从简单的单表查询到复杂的多表 JOIN 和聚合操作
schema-exploration
apconw
用于发现和理解数据库结构、表、列和关系
odoo-19
unclecatvn
Odoo 19 development knowledge base with 18 specialized guides covering Actions (ir.actions.*, cron jobs, server actions), Controllers (HTTP routing, endpoints, auth types), Data files (XML/CSV records, shortcuts, noupdate), API Decorators (@api.depends, @api.constrains, @api.ondelete, @api.onchange, @api.model), Module development (manifest, wizards, reports), Field types (Char, Text, Monetary, relational fields), Manifest configuration (manifest.py, dependencies, asset bundles), Mixins (mail.thread, mail.activity.mixin, mail.alias.mixin, utm.mixin), ORM Model methods (search, CRUD, domain filters, recordsets, prefetch), Migration scripts (pre/post/end hooks, data migration), OWL frontend components (hooks, services, lifecycle), Performance optimization (N+1 prevention, batch ops, read_group), QWeb Reports (PDF/HTML, paper formats, barcodes), Security/ACL (record rules, field permissions, multi-company), Testing (TransactionCase, HttpCase, mocking, query count assertions), Transactions (savepoints, UniqueViolation, serialization failures), Translations (i18n, PO files, translatable fields), XML Views (list/form/search, xpath inheritance, QWeb templates). Use when writing, reviewing, or debugging any Odoo 19 Python or XML code, creating or modifying modules, fixing performance issues, or looking up Odoo 19 API patterns and best practices.
analyzing-marketing-campaign
https-deeplearning-ai
Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.
context7-auto-research
freekmurze
Automatically fetches up-to-date documentation from Context7 when users ask about libraries, frameworks, APIs, or need code examples. Triggers proactively without explicit user request.
convex-helpers-guide
get-convex
Discover and use convex-helpers utilities for relationships, filtering, sessions, custom functions, and more. Use when you need pre-built Convex patterns.
auth-setup
get-convex
Set up Convex authentication with proper user management, identity mapping, and access control patterns. Use when implementing auth flows.