Browse Skills — Page 87

database-cloud-optimization-cost-optimize

benjaminasterA/antigravity-awesome-skills

You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and ...

database-cloud-optimization-cost-optimize-v2

diegosouzapw/awesome-omni-skills

Cloud Cost Optimization workflow skill. Use this skill when the user needs You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

database-design

CloudAI-X/claude-workflow-v2

Designs database schemas, indexing strategies, query optimization, and migration patterns for SQL and NoSQL databases. Use when designing tables, optimizing queries, fixing N+1 problems, planning migrations, or when asked about database performance, normalization, ORMs, or data modeling.

database-design-v2

diegosouzapw/awesome-omni-skills

Database Design workflow skill. Use this skill when the user needs Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

database-design-v3

diegosouzapw/awesome-omni-skills

Database Design workflow skill. Use this skill when the user needs Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

database-designer

alirezarezvani/claude-skills

Use when the user asks to design database schemas, plan data migrations, optimize queries, choose between SQL and NoSQL, or model data relationships.

database-lateral-pivot

wgpsec/AboutSecurity

数据库横向移动与跨库攻击。当已获取一个数据库权限（PostgreSQL/MySQL/MSSQL）需要横向到其他数据库或内网服务时使用。覆盖 PostgreSQL dblink 跨库连接、MSSQL Linked Server 横向、MySQL 联邦引擎跨库、数据库→SSRF→内网探测。当目标网络隔离但数据库可通信时（数据库通常有比应用服务器更宽松的网络策略），这是突破隔离的关键路径。发现任何数据库间通信需求、内网数据库横向、跨库查询场景都应使用此技能

database-lookup

K-Dense-AI/scientific-agent-skills

Search 78 public scientific, biomedical, materials science, and economic databases via REST APIs. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD), earth/environment (USGS, NOAA, EPA), chemistry/drugs (PubChem, ChEMBL, DrugBank, FDA, KEGG, ZINC, BindingDB), materials (Materials Project, COD), biology/genomics (Reactome, UniProt, STRING, Ensembl, NCBI Gene, GEO, GTEx, PDB, AlphaFold, InterPro, BioGRID, Gene Ontology, dbSNP, gnomAD, ENCODE, Human Protein Atlas, Human Cell Atlas), disease/clinical (COSMIC, Open Targets, ClinicalTrials.gov, OMIM, ClinVar, GDC/TCGA, cBioPortal, DisGeNET, GWAS Catalog), regulatory (FDA, USPTO, SEC EDGAR), economics/finance (FRED, World Bank, US Treasury), demographics (US Census, Eurostat, WHO). Use when looking up compounds, genes, proteins, pathways, variants, clinical trials, patents, economic indicators, or any public database API query.

database-migration

wshobson/agents

Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations, or implementing zero-downtime deployment strategies.

database-migration

benjaminasterA/antigravity-awesome-skills

Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data tr...

database-migration-plan

mohitagw15856/pm-claude-skills

Write a safe, zero-downtime database migration plan for a schema change. Use when asked to plan a database migration, design a zero-downtime schema change, document an expand/contract migration, produce a rollback procedure for a database change, or coordinate a database schema update with a deployment. Produces a structured migration plan covering migration objectives, backward compatibility analysis, expand/contract phase breakdown, exact SQL, rollback steps per phase, data validation queries, and a deployment runbook.

database-migration-v2

diegosouzapw/awesome-omni-skills

Database Migration workflow skill. Use this skill when the user needs Master database schema and data migrations across ORMs (Sequelize, TypeORM, Prisma), including rollback strategies and zero-downtime deployments and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

database-migrations

affaan-m/ECC

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).

database-migrations-migration-observability

benjaminasterA/antigravity-awesome-skills

Migration monitoring, CDC, and observability infrastructure

database-migrations-migration-observability-v2

diegosouzapw/awesome-omni-skills

Migration Observability and Real-time Monitoring workflow skill. Use this skill when the user needs Migration monitoring, CDC, and observability infrastructure and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

database-migrations-sql-migrations

benjaminasterA/antigravity-awesome-skills

SQL database migrations with zero-downtime strategies for

database-migrations-sql-migrations-v2

diegosouzapw/awesome-omni-skills

SQL Database Migration Strategy and Implementation workflow skill. Use this skill when the user needs SQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, and SQL Server. Focus on data integrity and rollback plans and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

database-migrator

OneWave-AI/claude-skills

Migrates databases between providers (Postgres, MySQL, Supabase, PlanetScale, MongoDB). Reads source schema, generates migration scripts, handles data type mapping, foreign keys, indexes, triggers, stored procedures. Validates migration with row counts and checksums. Generates migration-plan.md with step-by-step execution guide, rollback procedures, estimated downtime.

database-mongodb

HoangNguyen0403/agent-skills-standard

Apply expert schema design, indexing, and performance rules for MongoDB. Use when designing MongoDB schemas, creating indexes, or optimizing NoSQL query performance.

database-optimizer

Jeffallan/claude-skills

Optimizes database queries and improves performance across PostgreSQL and MySQL systems. Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.

database-optimizer-v2

diegosouzapw/awesome-omni-skills

database-optimizer workflow skill. Use this skill when the user needs Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

database-patterns

softspark/ai-toolkit

DB schema design and query tuning: normalization, indexing, N+1, transactions, EXPLAIN. Triggers: schema, index, slow query, N+1, PostgreSQL, MySQL, EXPLAIN, deadlock, query plan.

database-postgresql

HoangNguyen0403/agent-skills-standard

Enforce repository patterns, zero-downtime migrations, and indexing standards for PostgreSQL with TypeORM or Prisma. Use when defining entities, writing migrations, adding RLS policies, or optimizing query performance.

database-redis

HoangNguyen0403/agent-skills-standard

Optimize Redis caching, key management, and performance. Use when implementing Redis caching strategies, managing key namespaces, or optimizing Redis performance.

database-schema

alinaqi/maggy

Schema awareness - read before coding, type generation, prevent column errors

database-schema-design

mohitagw15856/pm-claude-skills

Document or design a database schema with entity relationships, table definitions, constraints, indexes, and access patterns. Use when asked to design a database, document an existing schema, model entities and relationships, define table structures, plan an index strategy, or produce a data model for review. Produces a structured schema document covering an ER diagram, table DDL definitions, index strategy, access pattern analysis, normalization decisions, and migration notes.

database-schema-designer

alirezarezvani/claude-skills

Use when the user asks to create ERD diagrams, normalize database schemas, design table relationships, or plan schema migrations.

database-tactics

wgpsec/AboutSecurity

数据库服务攻击方法论。当发现 Redis(6379)、MSSQL(1433)、PostgreSQL(5432)、MySQL(3306)、MongoDB(27017) 等数据库端口时使用。覆盖未授权访问、弱口令爆破、命令执行、文件读写、提权。任何涉及数据库攻击、数据库提权、数据库利用的场景都应使用此技能

database-v2

diegosouzapw/awesome-omni-skills

Database Workflow Bundle workflow skill. Use this skill when the user needs Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

databricks-agent-bricks

databricks/databricks-agent-skills

Create Agent Bricks: Knowledge Assistants (KA) for document Q&A and Supervisor Agents for multi-agent orchestration (MAS).

databricks-ai-functions

databricks/databricks-agent-skills

Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment, ai_similarity, ai_parse_document, ai_query, ai_forecast) to add AI capabilities directly to SQL and PySpark pipelines without managing model endpoints. Also covers document parsing and building custom RAG pipelines (parse → chunk → index → query).

databricks-aibi-dashboards

databricks/databricks-agent-skills

Create Databricks AI/BI dashboards. Must use when creating, updating, or deploying Lakeview dashboards as Databricks Dashboard have a unique json structure. CRITICAL: You MUST test ALL SQL queries via CLI BEFORE deploying. Follow guidelines strictly.

databricks-apps

databricks/databricks-agent-skills

Build apps on Databricks Apps platform. Use when asked to create dashboards, data apps, analytics tools, or visualizations. Evaluates data access patterns (analytics vs Lakebase synced tables) before scaffolding. Invoke BEFORE starting implementation.

databricks-apps-python

databricks/databricks-agent-skills

Builds Databricks applications. Prefers AppKit (TypeScript + React SDK) for new apps; falls back to Python frameworks (Dash, Streamlit, Gradio, Flask, FastAPI, Reflex) when Python is required. Handles OAuth authorization, app resources, SQL warehouse and Lakebase connectivity, model serving, foundation model APIs, and deployment. Use when building web apps, dashboards, ML demos, or REST APIs for Databricks, or when the user mentions AppKit, Streamlit, Dash, Gradio, Flask, FastAPI, Reflex, or Databricks app.

databricks-core

databricks/databricks-agent-skills

Databricks CLI operations: auth, profiles, data exploration, and bundles. Contains up-to-date guidelines for Databricks-related CLI tasks.

databricks-dabs

databricks/databricks-agent-skills

Create, configure, validate, deploy, run, and manage DABs — Declarative Automation Bundles (formerly Databricks Asset Bundles) — for Databricks resources including dashboards, jobs, pipelines, alerts, volumes, and apps

databricks-dbsql

databricks/databricks-agent-skills

>-

databricks-docs

databricks/databricks-agent-skills

Databricks documentation reference via llms.txt index. Use when other skills do not cover a topic, looking up unfamiliar Databricks features, or needing authoritative docs on APIs, configurations, or platform capabilities.

databricks-execution-compute

databricks/databricks-agent-skills

>-

databricks-iceberg

databricks/databricks-agent-skills

Apache Iceberg tables on Databricks — Managed Iceberg tables, External Iceberg Reads (fka Uniform), Compatibility Mode, Iceberg REST Catalog (IRC), Iceberg v3, Snowflake interop, PyIceberg, OSS Spark, external engine access and credential vending. Use when creating Iceberg tables, enabling External Iceberg Reads (uniform) on Delta tables (including Streaming Tables and Materialized Views via compatibility mode), configuring external engines to read Databricks tables via Unity Catalog IRC, integrating with Snowflake catalog to read Foreign Iceberg tables

databricks-jobs

databricks/databricks-agent-skills

Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. Use when creating data engineering jobs with notebooks, Python wheels, SQL, dbt, or pipelines. Invoke BEFORE starting implementation.

databricks-lakebase

databricks/databricks-agent-skills

Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.

databricks-metric-views

databricks/databricks-agent-skills

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-mlflow-evaluation

databricks/databricks-agent-skills

MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), building eval datasets from traces, setting up trace ingestion and production monitoring, aligning judges with MemAlign from domain expert feedback, or running optimize_prompts() with GEPA for automated prompt improvement.

databricks-model-serving

databricks/databricks-agent-skills

Manage Databricks Model Serving endpoints via CLI. Use when asked to create, configure, query, or manage model serving endpoints for LLM inference, custom models, or external models.

databricks-pipelines

databricks/databricks-agent-skills

Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.

databricks-python-sdk

databricks/databricks-agent-skills

Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.

databricks-serverless-migration

databricks/databricks-agent-skills

Migrate Databricks workloads from classic compute to serverless compute. Scans code for serverless compatibility issues, provides concrete fixes for the serverless Spark Connect architecture, and guides the full migration to serverless environments. Use for classic-to-serverless migrations, serverless code compatibility checks, or writing new serverless-compatible notebooks and jobs. Not for classic DBR version upgrades or cluster configuration changes within classic compute.

databricks-spark-structured-streaming

databricks/databricks-agent-skills

Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, working with Kafka ingestion, implementing Real-Time Mode (RTM), configuring triggers (processingTime, availableNow), handling stateful operations with watermarks, optimizing checkpoints, performing stream-stream or stream-static joins, writing to multiple sinks, or tuning streaming cost and performance.

databricks-synthetic-data-gen

databricks/databricks-agent-skills

Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally generate locally and upload to volumes. Use when user mentions 'synthetic data', 'test data', 'generate data', 'demo dataset', 'Faker', or 'sample data'.

databricks-unity-catalog

databricks/databricks-agent-skills

Unity Catalog system tables and volumes. Use when querying system tables (audit, lineage, billing) or working with volume file operations (upload, download, list files in /Volumes/).

databricks-unstructured-pdf-generation

databricks/databricks-agent-skills

Generate PDF documents from HTML and upload to Unity Catalog volumes. Use for creating test PDFs, demo documents, reports, or evaluation datasets.

databricks-vector-search

databricks/databricks-agent-skills

Patterns for Databricks Vector Search: create endpoints and indexes, query with filters, manage embeddings. Use when building RAG applications, semantic search, or similarity matching. Covers both storage-optimized and standard endpoints.

databricks-zerobus-ingest

databricks/databricks-agent-skills

Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC. Use when creating producers that write directly to Unity Catalog tables without a message bus, working with the Zerobus Ingest SDK in Python/Java/Go/TypeScript/Rust, generating Protobuf schemas from UC tables, or implementing stream-based ingestion with ACK handling and retry logic.

databuddy

databuddy-analytics/Databuddy

Work effectively in the Databuddy monorepo. Use when the user asks to build, debug, review, or refactor anything in Databuddy, including the dashboard, api, basket ingest service, links service, docs app, uptime service, SDK, tracker, auth, RPC, database schema, ClickHouse, or shared packages.

databuddy-integration

databuddy-analytics/Databuddy

Help users integrate Databuddy into their own products. Use when the user wants to install or use Databuddy's SDK, React or Vue component, tracker helpers, Node SDK, server-side feature flags, REST API, event tracking endpoint, or LLM observability package.

datacommons-client

swaruplab/operon

Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.

datadog

jjmartres/opencode

Use this skill when you need to search Datadog logs, query metrics, tail logs in real-time, trace distributed requests, investigate errors, compare time periods, find log patterns, check service health, or export observability data.

datadog-api

anthropics/claude-tag-plugins

Query and manage Datadog monitoring data — logs, metrics, monitors, dashboards, events, SLOs, traces, and incidents. Use this whenever the user wants to search logs, look at a metric, check which monitors are alerting, investigate a trace, pull SLO status, mute an alert, or ask "what's happening in Datadog" — even if they don't say "API". Also use it for any URL under *.datadoghq.com. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.

datadog-apm

automateyournetwork/netclaw

Analyze distributed traces and service performance in Datadog APM.

datadog-automation

benjaminasterA/antigravity-awesome-skills

Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas.

datadog-automation-v2

diegosouzapw/awesome-omni-skills

Datadog Automation via Rube MCP workflow skill. Use this skill when the user needs Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

datadog-incidents

automateyournetwork/netclaw

Manage incidents in Datadog Incident Management.

datadog-investigate

ClipboardHealth/core-utils

Investigate production issues by querying Datadog logs, metrics, and APM traces, then correlating findings with the codebase. Use this skill whenever the user mentions production errors, Datadog, observability, log investigation, latency spikes, error rate increases, 500s, trace IDs, monitor alerts, or wants to debug any service issue in a deployed environment.

datadog-logs

ComposioHQ/awesome-codex-skills

Query and filter Datadog logs from the shell using the Composio CLI. Run scoped log searches, pivot across services/environments, and export structured JSON for downstream agents instead of click-driving the Datadog UI.

datadog-metrics

automateyournetwork/netclaw

Query metrics and explore dashboards in Datadog.

datagma-automation

ComposioHQ/awesome-claude-skills

"Automate Datagma tasks via Rube MCP (Composio). Always search tools first for current schemas."

datamol

K-Dense-AI/scientific-agent-skills

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.

datamol-cheminformatics

jaechang-hits/SciAgent-Skills

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datanalysis-credit-risk

github/awesome-copilot

Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.

datapack-builder

anthropics/financial-services

Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies. Do not use for simple financial calculations or working with already-completed data packs.

datarobot-automation

ComposioHQ/awesome-claude-skills

"Automate Datarobot tasks via Rube MCP (Composio). Always search tools first for current schemas."

dataset-curation

wshobson/agents

Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or writing a dataset card before a run.

dataset-evaluation

awslabs/agent-plugins

Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.

dataset-exploration

Significant-Gravitas/skills-catalog

Profile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to analyze.

dataset-transformation

awslabs/agent-plugins

Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than writing inline transformation code. Supports OpenAI chat, SageMaker SFT/DPO/RLVR/RLAIF, HuggingFace preference, Bedrock Nova, VERL, and custom JSONL formats from local files or S3.

dataverse-python-advanced-patterns

github/awesome-copilot

'Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.'

dataverse-python-production-code

github/awesome-copilot

'Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices'

dataverse-python-quickstart

github/awesome-copilot

'Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.'

dataverse-python-usecase-builder

github/awesome-copilot

'Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations'

dataviz-craft

QinghongLin/data2story-skill

A shared reference library for editorial-grade data-visualization craft — Vega-Lite-first with a D3 fallback for charts Vega-Lite can't express. Read by the Designer at chart selection (intent → ranked chart type), the Programmer at implementation (editorial Vega-Lite recipes, annotation layers, axis/label de-clutter, encoding craft), and the Auditor/Critic for chart-quality review. It encodes the FT Visual Vocabulary intent taxonomy, the Cleveland–McGill channel-accuracy ordering, the BBC bbplot de-clutter ruleset, and colorblind-safe encoding rules. Not a pipeline stage — a craft source, like frontend-design.

date-calculator

aipoch/medical-research-skills

Calculate medical date windows including gestational age, estimated delivery dates, and follow-up visit scheduling. Produces structured JSON output for clinical research and trial coordination workflows.

datenpanne-meldung

Klotzkette/claude-fuer-deutsches-recht

Begleitet Verantwortliche und Berater bei der Prüfung der Meldepflicht nach Art. 33 DSGVO (72-Stunden-Frist an Aufsichtsbehörde) und der Benachrichtigungspflicht nach Art. 34 DSGVO (betroffene Personen), einschließlich Dokumentation. Lädt bei Datenpannen, Sicherheitsvorfällen, unberechtigten Zugriffen und Datenverlust.

datenschutzrecht-anpassen

Klotzkette/claude-fuer-deutsches-recht

Praxisprofil gezielt anpassen, ohne das komplette Interview zu wiederholen. Auslöser: Nutzer möchte eine bestimmte Einstellung ändern (z.B. Aufsichtsbehörde, AVV-Dealbreaker, Systemliste), oder ein Skill hat eine Standardeinstellung gemeldet, die nicht passt.

datenschutzrecht-kaltstart-interview

Klotzkette/claude-fuer-deutsches-recht

Ersteinrichtung des Datenschutzrecht-Plugins – erlernt Ihre Datenschutzpraxis und schreibt CLAUDE.md aus Interview und Ausgangsdokumenten. Auslöser: erster Start, CLAUDE.md fehlt oder enthält Platzhalter, Nutzer sagt „Plugin einrichten\", „konfigurieren\", „neu starten\" oder „Interview wiederholen\".

datenschutzrecht-mandat-arbeitsbereich

Klotzkette/claude-fuer-deutsches-recht

Mandat-Arbeitsbereiche für Mehrmandat-Kanzleien verwalten: anlegen, auflisten, wechseln, schließen. Stellt sicher, dass Datenschutzmandate mandatsübergreifend isoliert bleiben (kein Kontext-Leak zwischen Mandaten). Für internen Unternehmenseinsatz nicht relevant.

datetime-tool

openakita/openakita

Get current time, format dates, calculate date differences, and convert timezones. Use this skill when the user asks about time, dates, timezone conversions, weekdays, or needs date calculations and formatting in any locale.

davinci-resolve

TerminalSkills/skills

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dawn

seaworld008/Commonly-used-high-value-skills

Proposes exactly one personal side-project idea per invocation, sized to a 1-3 day MVP. Targets CLI, automation, LLM, DX, productivity, and data-viz angles; avoids clichés like TODO apps, weather apps, and pomodoro timers. Output is an 8-section brief including a ready-to-paste coding-agent prompt. Use for morning/daily idea rituals and weekend-hack ideation. Don''t use for existing-product feature proposals (Spark), dialogue brainstorming (Riff), or prototype implementation (Forge).

dax-authoring

microsoft/aitour27-BRK390-building-ai-applications-with-microsoft-databases-and-fabric

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day-one-patch

striderZA/OpenCodeGameStudios

Prepare a day-one patch for a game launch. Scopes, prioritises, implements, and QA-gates a focused patch addressing known issues discovered after gold master but before or immediately after public launch. Treats the patch as a mini-sprint with its own QA gate and rollback plan.

daytona-electron-test

different-ai/openwork

Test the real Electron app on Daytona: create sandbox, start services, connect via CDP, create workspaces, drive sessions, and verify settings. Use when the user says 'test on Daytona', 'run the app on Daytona', 'Daytona dry run', 'test Electron remotely', or 'reproduce on Daytona'.

db

oracle/skills

Oracle Database skills for administration, SQL and PL/SQL development, performance tuning, security, ORDS, SQLcl, migrations, frameworks, Oracle Container Registry guidance, and agent-safe database workflows.

db-admin

EliasOulkadi/shokunin

PostgreSQL database administration — backup/restore (pg_dump, PITR, WAL archiving), health monitoring (connections, bloat, cache hit ratio, dead tuples), connection pooling (PgBouncer), replication (streaming, logical), vacuum/autovacuum tuning, and scheduled backups with retention. Use when user asks to backup a database, restore from backup, monitor database health, set up replication, or perform DBA tasks. Do NOT use for schema design (use db-sculptor), query optimization (use db-sculptor), or migration planning (use db-sculptor).

db-backup

TerminalSkills/skills

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db-migrator

laolaoshiren/claude-code-skills-zh

数据库迁移助手 - Schema 对比、迁移脚本生成

db-review

tranhieutt/software_development_department

Reviews database schemas, queries, and migrations for correctness, performance, security, and best practices. Use when reviewing SQL migration files or when the user mentions database review, schema review, or query audit.

db-sculptor

EliasOulkadi/shokunin

Design database schemas with Prisma/Drizzle, PostgreSQL index strategy (B-tree, GIN, GiST, BRIN, Hash), query optimization (EXPLAIN ANALYZE), migration safety (expand/contract, zero-downtime), and sharding/partitioning. Use when user asks to design schema, create migrations, optimize slow queries, add indexes, choose between SQL/NoSQL, or set up Prisma/Drizzle. Do NOT use for data warehouse dimensional modeling, ETL pipeline design, or non-relational (MongoDB, DynamoDB) schema design.

db-seed

jezweb/claude-skills

Generate database seed scripts with realistic sample data. Reads Drizzle schemas or SQL migrations, respects foreign key ordering, produces idempotent TypeScript or SQL seed files. Handles D1 batch limits, unique constraints, and domain-appropriate data. Use when populating dev/demo/test databases. Triggers: 'seed database', 'seed data', 'sample data', 'populate database', 'db seed', 'test data', 'demo data', 'generate fixtures'.

db9

vm0-ai/vm0-skills

db9.ai serverless database for AI agents — Postgres-compatible with built-in embeddings, full-text search, vector search, and database branching. Use when the user wants to spin up disposable databases, run SQL, manage tokens, create branches, or query embeddings.