Database Designer
v2.1.1
io.clawhub.alirezarezvani/database-designer
Database Designer - POWERFUL Tier Skill
“Data Analysis” 共 1,434 个结果
v2.1.1
io.clawhub.alirezarezvani/database-designer
Database Designer - POWERFUL Tier Skill
vmaster
io.github.PostHog/posthog/querying-posthog-data
Required reading before writing any HogQL/SQL or calling execute-sql against PostHog. Use whenever the user wants to search, find, or do complex aggregations PostHog entities (insights, dashboards, cohorts, feature flags, experiments, surveys, hog flows, data warehouse, persons, etc.) and query analytics data (trends, funnels, retention, lifecycle, paths, stickiness, web analytics, error tracking, logs, sessions, LLM traces). Also the first stop for a governed business or telemetry measure (MRR, activation, billable usage, active organizations, failure rates): check the semantic layer (canonical metrics in system.information_schema.metrics) before deriving from raw events or a typed domain tool. Covers HogQL syntax differences from ClickHouse SQL, system table schemas (system.*), available functions, query examples, and the schema-discovery workflow.
vmain
io.github.K-Dense-AI/scientific-agent-skills/datamol
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
vmain
io.github.K-Dense-AI/scientific-agent-skills/database-lookup
Query documented public database APIs with explicit endpoints, filters, pagination, and provenance. Use when a scientific, regulatory, financial, or other database-backed fact must be retrieved reproducibly from a named source rather than inferred from general knowledge.
vdev
io.github.code-yeongyu/oh-my-openagent/data-scientist
Expert data processing with a hybrid engine strategy: resident-kernel engines first - DuckDB plus a resident Python stack (Polars/numpy/matplotlib) in persistent js/py eval kernels where the harness has them, bun/uv one-shots elsewhere - and per-action placement judgment (in-memory vs streaming vs remote-in-place). Triggers: 'analyze the data', 'what is in this CSV/parquet/json', 'summarize this', 'group by', 'filter rows', 'sort by', 'join these files', 'merge datasets', 'time series trend', 'compare yesterday and today', 'distribution/histogram', 'correlation', 'clean duplicates', 'handle missing values', 'dataset larger than RAM', 'SQL query on files', 'DataFrame operations', 'chart/plot this data', DuckDB vs Polars selection, quick data exploration CLI. NOT for plain text/code inspection, configs, or tiny inline math.
vmain
io.github.sickn33/agentic-awesome-skills/database-security
Authorized database security assessment across PostgreSQL, MySQL, MSSQL, MongoDB, and Redis: exposure, authorization gaps, UDF/command execution paths, and misconfiguration review.
vmain
io.github.affaan-m/ECC/data-scraper-agent
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
vmain
io.github.TryGhost/Ghost/create-database-migration
Create a database migration to add a table, add columns to an existing table, add a setting, or otherwise change the schema of Ghost's MySQL database. Use this skill whenever the task involves modifying Ghost's database schema — including adding, removing, or renaming columns or tables, adding new settings, creating indexes, updating data, or any change that requires a migration file in ghost/core. Also use when the user references schema.js, knex-migrator, the migrations directory, or asks to "add a field" or "add a column" to any Ghost model/table. Even if the user frames it as a feature or Linear issue, if the implementation requires a schema change, this skill applies.
vmaster
io.github.PostHog/posthog/writing-dataclasses
House rules for Python dataclasses in PostHog: when to reach for one instead of a tuple or `dict[str, Any]`, which decorator to use (`@frozen` from `posthog.dataclasses`), how to name, construct, consume and evolve them, how to keep secrets out of `repr`, and when a function should accept a dataclass instead of its unpacked fields. Use when adding or changing a dataclass, returning or passing several values from a function, converting a tuple or dict payload, deciding `frozen=`/`slots=`/`kw_only=`, or passing a facade contract DTO through internal layers. Not for pydantic models used as HogQL/query schema, DRF serializers, or Django models.
vmain
io.github.TriliumNext/Trilium/evolving-the-data-model
Use when adding a DB migration or a new column/field to a Becca entity in Trilium ("add a migration", "new column on notes/attributes", "ALTER TABLE", "add a field to BNote/BAttribute/BBranch", schema change). Migrations are NOT dated .sql files — they are integer-versioned entries in the DESCENDING MIGRATIONS array in packages/trilium-core/src/migrations/migrations.ts (dbVersion is auto-derived from MIGRATIONS[0]), and the schema lives at packages/trilium-core/src/assets/schema.sql. Covers the full file chain for a column-add, the hashedProperties cross-instance sync-hash hazard, CLS-wrapped JS migrations, and the spec harness.
vmaster
io.github.garrytan/gbrain/data-loss-gate
Confirmation gate before any bulk delete, cleanup, or destructive operation that could result in data loss — shell-level (rm -rf, git rm, bulk sed) or brain-level (bulk forget, delete sweeps, purge-deleted, source removal, raw-SQL truncation). Presents a recoverability card and requires an explicit "yes" from the user before proceeding. Routing convention, not an operation-boundary enforcement.
vmain
io.github.affaan-m/ECC/scientific-db-uspto-database
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs. Use when a task needs official United States patent or trademark records from USPTO systems.
vmain
io.github.affaan-m/ECC/scientific-db-pubmed-database
Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring. Use when a task needs biomedical literature from PubMed rather than general web search.
vmain
io.github.affaan-m/ECC/database-migrations
Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate). Use when writing a schema or data migration, planning a rollback, or aiming for zero-downtime deployment.
vmain
io.github.github/awesome-copilot/migrating-oracle-to-postgres-data-access-code
Migrates .NET/C# data access code from Oracle to PostgreSQL (Npgsql). Replaces Oracle NuGet packages, rewrites OracleConnection/OracleCommand/OracleDataReader usage, fixes DbType mappings, updates stored procedure invocation patterns, and adapts connection string configuration. Use when migrating the application code layer of a .NET project during an Oracle-to-PostgreSQL database migration.
vmain
io.github.google/skills/data-manager-api-audience-ingestion
Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries. Use this skill when the user wants to upload audience members, remove specific users, or clear/replace an entire audience for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).
vmain
io.github.mukul975/Anthropic-Cybersecurity-Skills/implementing-pam-for-database-access
Deploy privileged access management for database systems including Oracle, SQL Server, PostgreSQL, and MySQL, covering session proxy configuration, credential vaulting, query auditing, dynamic credential generation, and least-privilege database roles. Use when securing DBA access, implementing database PAM controls, or auditing privileged database sessions.
vmain
io.github.mukul975/Anthropic-Cybersecurity-Skills/performing-sqlite-database-forensics
Performs forensic analysis of SQLite databases by examining B-tree page structures, recovering deleted records from freelist pages and Write-Ahead Log (WAL) files, decoding encoded timestamps, and extracting evidence from browser history, messaging apps, and mobile device databases. Use when recovering deleted or unallocated data from a SQLite database during digital forensics or mobile/browser evidence analysis.
vmain
io.github.mukul975/Anthropic-Cybersecurity-Skills/exploiting-excessive-data-exposure-in-api
Tests APIs for excessive data exposure (OWASP API3:2023) by intercepting raw API responses and comparing them against what the UI actually renders, looking for leaked PII, internal identifiers, debug data, or business-sensitive fields the frontend filters but the API still transmits. Use when auditing REST or mobile-app APIs for over-fetching, response filtering bypass, or unintended data leakage in endpoint responses.
vmaster
io.github.PostHog/posthog/suggesting-data-imports
Use when the user asks about revenue, payments, subscriptions, billing, CRM deals, support tickets, ad spend, production database tables, or other data PostHog does not collect natively — or wants to join or correlate PostHog product events with that external business data. Also use when a query fails because a table does not exist or returns no results for expected external data. The data warehouse can import from SaaS tools (Stripe, Hubspot, Zendesk, etc.), ad platforms, production databases (Postgres, MySQL, BigQuery, Snowflake), and other arbitrary data sources. Covers checking existing sources, identifying the right source type, and guiding the setup.
vmain
io.github.abhigyanpatwari/GitNexus/gitnexus-impact-analysis
Use when the user wants to know what will break if they change something, or needs safety analysis before editing code. Examples: "Is it safe to change X?", "What depends on this?", "What will break?"
vdevelop
io.github.HoangNguyen0403/agent-skills-standard/database-transactions
Define transaction boundaries, locking, and consistency guarantees for multi-step writes. Use when designing atomic operations, retries, idempotency, or concurrent write behavior.
vdevelop
io.github.HoangNguyen0403/agent-skills-standard/database-schema-design
Design relational or document schemas from access patterns, cardinality, and lifecycle. Use when modeling entities, choosing embed vs normalize, or shaping schema boundaries before implementation.
vdevelop
io.github.HoangNguyen0403/agent-skills-standard/database-query-performance
Diagnose database latency with explain plans, index ownership, and query-shape review. Use when a query is slow, an index is missing, or scans and N+1 patterns appear.