Data plugins

Persist task plans, findings, and progress as markdown files so work survives context loss and /clear in AI coding agents. Manus-style planning workflow with crash-proof session recovery, tamper detection, and multi-language support (Arabic, German, Spanish, Chinese).

Give AI assistants persistent memory by automatically mining project files and conversations into a searchable semantic index, then recall past work, decisions, people, and projects via natural language queries or command-line tools.

Accelerate full-stack development with 66 specialized skills covering 12 languages, frontend/backend frameworks, infrastructure, DevOps, security, and testing, plus Jira/Confluence project management commands for epic planning, discovery, and retrospectives.

Generate Nature-style scientific manuscripts, figures, response letters, patent drafts, and presentations from research materials. Conduct multi-source literature searches, citation management, paper reading with Chinese-English side-by-side rendering, and simulated peer review.

Build production-ready data pipelines with Apache Airflow and dbt, manage scalable data warehouses, and implement vector search and RAG systems using embedding models and vector databases.

Sandboxed code execution in 11 languages with automatic session state restore, persistent FTS5 knowledge base for indexed project content retrieval, and hooks that intercept tool calls to conserve context window usage.

Delegate complex data engineering, ML, and AI workflows to specialized sub-agents that design scalable pipelines, build and optimize models, architect LLM systems, tune databases for performance, and deploy production infrastructure across clouds.

Build and manage end-to-end data analytics workflows: implement A/B testing with statistical rigor, design reliable analytics tracking, create interactive D3.js visualizations, architect scalable database schemas, and optimize SQL for cloud-native databases.

Configure and debug Payload CMS backends in payload.config.ts by defining collections, fields, hooks, access control, and APIs. Troubleshoot validation errors, security issues, relationships, queries, transactions, and hook behaviors to build robust headless CMS applications.

Manage the full Hugging Face ML lifecycle from a single agent: search and select models, estimate GPU memory, train or fine-tune with TRL/Unsloth, evaluate locally, build and deploy Gradio demos on Spaces, publish datasets and research papers, and run models in-browser with Transformers.js.

Enforces structured troubleshooting and evidence-first delivery through opt-in productivity coaching, with role-based protocols (P7-P10), iterative development gates, and motivational flavors. Automatically activates on failure or passivity cues to push developers toward thorough, verifiable completions.

Write SQL across data warehouses, profile datasets, and generate interactive dashboards and publication-quality charts. Connect to BigQuery, Amplitude, Hex, and Atlassian for integrated data analysis and reporting.

Controls iMessage channel access for Claude Code — approve/deny pairings, manage sender allowlists, set DM and group policies, and verify setup including Full Disk Access and current policy status.

Evaluate and improve LLM applications by instrumenting agents, chatbots, and RAG pipelines with DeepEval tracing, generating test suites, running evaluations, and exporting traces to Confident AI for observability and iterative refinement.

Manage Firebase projects through Claude: query and write Firestore data, manage authentication users, deploy and invoke Cloud Functions, and handle Storage and Hosting configurations directly from the chat interface.

Query biomedical literature and preprints (PubMed, biorxiv), search clinical trials, explore drug-target associations (Open Targets, ChEMBL), and run preclinical analyses (RNA-seq, single-cell QC, scvi-tools) directly from the coding environment

Generate self-contained HTML visual explainers for code diff reviews, implementation plans, slide decks, diagrams, and project recaps — with factual verification against git history and one-click deployment to Vercel.

Generate professional financial research reports including equity earnings previews, funding round briefings, and company tear sheets using S&P Capital IQ data, with remote access to S&P Global Kensho's financial intelligence platform for market data and analytics.

Look up Python code examples and enforce Pythonic style — fetch syntax, concurrency, ML, and HPC references from pythonsheets.com while writing, debugging, or optimizing code, and get linting guidance for readable, idiomatic Python.

Generate SQL queries from natural language descriptions using your database schema for PostgreSQL, MySQL, or BigQuery. Analyze CSV or Excel user data to produce cohort retention heatmaps, engagement trends, churn insights, and research recommendations. Evaluate A/B tests for statistical significance, confidence intervals, lift, and ship/extend/stop decisions with Python-powered reports.

Access LSEG (Refinitiv) financial data and analytics to price bonds, analyze yield curves, evaluate FX carry trades and yield curves, value options, and build macro dashboards.

Implement Trail of Bits handbook security testing workflows: fuzz Rust, Python, C/C++, Ruby code with AFL++, libFuzzer, cargo-fuzz, Atheris; instrument AddressSanitizer; run static analysis via Semgrep, CodeQL; generate coverage reports, dictionaries, and bypass obstacles for vulnerability detection.

Open PDFs from URLs, paths, or arXiv in an interactive viewer to annotate sections collaboratively via screenshots, fill forms with live visual feedback, add signatures and stamps on approval, then download the marked-up document for contracts and approvals.

Run a local stdio MCP server to programmatically access and query Grafana dashboards, panels, datasources, metrics, logs, and alerts directly from your IDE or tools, without needing to configure secrets.

Run institutional-grade stock analysis for A-shares, HK, and US equities: 22-dimension data, 65-investor panel voting, 17 valuation methods (DCF, LBO, comps), fraud detection, and Bloomberg-style HTML reports. Supports portfolio drift analysis, earnings preview, catalyst calendars, and investment thesis tracking.

Run system commands, manage processes, and access files beyond the workspace from within Claude, including structured documents like PDFs, spreadsheets, and images, with persistent shell state across conversations

Run a complete AI-assisted coding workflow with self-correcting memory, persistent FTS5-indexed research wikis, auto-research loops, multi-LLM council deliberation, and 8 specialized agents that coordinate parallel sessions, enforce quality gates, audit context costs, and capture learnings across every session.

Diagnose Swift concurrency issues, refactor callback-based code to async/await, and guide Swift 6 migration with best practices for tasks, actors, Sendable, and data race prevention.

Leverage Common Room's product usage, engagement, and intent signals as a GTM copilot to research accounts and contacts, generate call prep briefs with talking points and objections, draft personalized email/LinkedIn/call outreach, build targeted prospect lists, produce weekly meeting briefings, and create strategic account plans.

Triages and classifies AI use cases against your governance registry, runs structured impact assessments across regulatory regimes, reviews vendor AI terms for data training and liability risks, monitors policy drift, and drafts updated usage policies — all while connecting to Slack, Google Drive, and Lexis+ Protégé for research and collaboration.

Build, deploy, and run serverless web scrapers and automation scripts on Apify's platform, extract structured data from 15+ websites (Instagram, LinkedIn, Google Maps, etc.), integrate scraping into JavaScript/TypeScript/Python applications, and convert existing projects into scalable Apify Actors.

Automate long-form webnovel creation: initialize projects interactively with genre/characters/worldbuilding/outlines, generate beat sheets/chapters (2000+ words), extract entities/relationships to SQLite indexes, visualize status/entity graphs in read-only dashboard, recover interrupted workflows, and validate chapters via agents for inconsistencies, pacing, OOC, reader pull, and quality reports.

Generate structured engineering documents and analyses for code reviews, incident postmortems, API docs, architecture decisions, system design, runbooks, CI/CD, SLOs, database migrations, security threat models, and more — all from natural language prompts in Claude Code.

Query SQL databases and tabular files directly from the terminal using sq's SLQ or native SQL, with capabilities to manage data sources, inspect schemas, diff tables, and handle various output formats

Analyze slow SQL queries and receive optimized rewrites, index recommendations, execution plan insights, anti-pattern fixes, and performance estimates for PostgreSQL, MySQL, and SQLite databases.

Guides Claude on implementing virtualized lists, chat message lists, and data tables using react-virtuoso in React applications.

Backtest crypto and stock trading strategies on historical data to compute performance metrics like Sharpe and Sortino ratios, maximum drawdowns, equity curves, and optimize parameters via grid search.

Design normalized relational database schemas for PostgreSQL and MySQL from natural language requirements. Generate DDL statements, constraints, indexes, relationships, migrations, checklists, and Mermaid ERDs following best practices and normalization guidance.

Build and deploy data portals with PortalJS — scaffold a portal from a brief, add datasets and resources, create charts and interactive maps, connect a CKAN backend, harvest datasets from open-data platforms, define schemas, deploy to Cloudflare static hosting, and audit data quality.

Optimize LLM prompts for OpenAI and Anthropic by automatically detecting redundancy, simplifying instructions, and rewriting to reduce token usage, lower costs, and improve performance.

Scan codebases for data privacy risks, identifying PII exposures, hardcoded sensitive data, unsafe logging practices, unencrypted storage, insecure transmission, missing consent mechanisms, and retention policy violations to audit and remediate compliance issues.

Generate and execute automated Python pipelines for data cleaning, transformation, validation, and ETL in ML workflows. Analyze context to produce AI/ML code with built-in validation, error handling, performance metrics, saved artifacts, and documentation.

Generate plots, charts, and graphs from data via natural language requests—AI analyzes datasets, selects optimal visualization types, produces validated Python code, delivers performance metrics and insights, saves artifacts, and creates documentation.

Automate OWASP Top 10 vulnerability scans and penetration testing on JavaScript, Python, and Java codebases using Semgrep, ESLint-security, Bandit, and dependency audits. Delegate comprehensive security audits to a specialized agent covering injections, XSS, CSRF, authentication flaws, access control, and misconfigurations.

Automate full Databricks lakehouse lifecycle: build Delta Lake ETL pipelines with medallion architecture and Auto Loader, engineer ML workflows via MLflow and Feature Store, deploy jobs/pipelines with Asset Bundles and GitHub Actions CI/CD, secure via Unity Catalog RBAC, optimize costs/performance, troubleshoot errors, and monitor with system tables.

Parse Burp Suite .burp project files from the command line to search headers and bodies with regex, extract security findings like audit items, and dump filtered proxy history or sitemap for targeted HTTP security analysis workflows.

Compare PostgreSQL and MySQL schemas across database environments to generate idempotent migration scripts with transaction safety, validation checks, rollback procedures, and detailed diff reports.

Interpret EXPLAIN plans and query metrics from PostgreSQL, MySQL, and MongoDB to detect bottlenecks like sequential scans, missing indexes, and inefficient joins. Receive targeted SQL optimization recommendations with expected performance impacts.

Analyze PostgreSQL, MySQL, and MongoDB query workloads to detect missing indexes causing sequential scans, identify unused indexes, recommend optimal configurations, estimate performance impacts, and generate SQL scripts for index creation and drops.

Automate archiving historical PostgreSQL/MySQL records to archive tables or cloud storage (S3, Azure Blob, GCS) using age/status-based rules, retention policies, compression, and compliance tracking to shrink primary database size and manage cold data.

Design and optimize NoSQL data models for MongoDB, DynamoDB, Redis, and Cassandra by analyzing access patterns, embedding vs referencing, denormalization trade-offs, sharding keys, and indexes.

Design and implement partitioning strategies for PostgreSQL and MySQL tables using range, list, hash, and composite methods to handle massive datasets. Automate schema design, maintenance routines, query optimization, and data retention policies for improved performance.

Introspect PostgreSQL, MySQL, SQLite, and MongoDB schemas to generate Markdown documentation and interactive HTML reports with ERD diagrams, relationships, indexes, constraints, views, procedures, and data dictionaries for onboarding, audits, and compliance.

Audit PostgreSQL, MySQL, and MongoDB databases for security risks including misconfigurations, privileges, encryption, network exposure, default credentials, and SQL injection in app code. Run scans for 50+ OWASP vulnerabilities, generate compliance reports, automated remediation scripts, and audit trails from your IDE.

Scan Android APK files or directories for Firebase security misconfigurations like open Realtime Database, Firestore, storage buckets, authentication issues, and exposed Cloud Functions to conduct mobile security audits and authorized pentesting.

Automate complete operations for FairDB PostgreSQL SaaS on VPS: onboard customers with database/user provisioning, run health checks on resources/backups/connections, configure pgBackRest for Wasabi S3 backups, execute incident response scripts for restarts/corruption checks, and deploy agents for proactive monitoring/optimization.

Generate, validate with error handling and transactions, and deploy production-ready stored procedures, functions, triggers, and custom logic directly to PostgreSQL, MySQL, or SQL Server databases using natural language triggers or commands.

Analyze cryptocurrency market sentiment by pulling data from social media, news, on-chain metrics, derivatives, whale activity, and Fear & Greed Index to generate 0-100 mood scores, weighted insights, and predictions for overall market or specific coins like BTC.

Scan codebases for SQL injection vulnerabilities by tracing user inputs through code to database queries, identifying unsafe patterns like string concatenation and unparameterized ORM usage in Django, Rails, Express, and Go apps. Get risk reports and mitigation recommendations via skills or direct commands.

Initialize Firestore Admin SDK in Node.js projects with authentication, manage safe CRUD operations batch writes queries schema design data migrations indexes, generate validate production-ready security rules using least privilege and emulator testing, and optimize performance costs.

Build secure Rust applications integrating Azure services: authenticate with Entra ID, manage Key Vault secrets/keys/certificates, perform CRUD on Cosmos DB documents and Blob Storage, and stream data via Event Hubs using official SDK patterns and code examples.

Deploy specialized AI agents to synthesize research from academic papers, web sources, and GitHub repos with citations; generate API docs, OpenAPI specs, and SDKs; transcribe, analyze, and optimize podcasts; modernize legacy code across React, Python, Java; build and link knowledge graphs; orchestrate multi-agent pipelines for complex tasks.

Delegate coding tasks to expert AI agents specialized in Python, Go, Rust, Java, JavaScript, PHP, Ruby/Rails, C/C++, SQL, and TypeScript. They proactively write idiomatic code, refactor for performance, implement advanced features like concurrency and generics, add tests with pytest or RSpec, optimize queries/schemas, and handle builds like Cargo.toml or CMake.

Wrangle, profile, clean, transform, and analyze tabular data (CSV, TSV, Excel, JSONL, Parquet) using 51 qsv skill-based commands — including SQL queries, joins, validation, ontology inference, charting, performance acceleration, and reproducible logging.

Run interactive frontend design wizards to research UI/UX trends from Dribbble and Coolors, analyze websites for inspiration via browser screenshots and extractions, curate Tailwind-compatible color palettes and typography pairings, create visual moodboards, review HTML for design principles and accessibility issues, and generate production-ready UI code.

Generate complete Xiaohongshu notes automatically, including AI-written content, themed covers, formatted text cards, and optional one-click publishing. Select from 8 layout themes like sketch, neo-brutalism, or botanical, plus 4 smart pagination modes via manual invocation.

Run structured product data analysis, retention analysis, and health reporting. Deep-dive into metrics, build funnel and cohort studies, investigate churn, and produce prioritized recommendations with RAG status and root cause hypotheses.

Implement trigger-based audit logging for PostgreSQL and MySQL databases to track INSERT, UPDATE, and DELETE operations with metadata for compliance, security monitoring, and debugging. Generate SQL trigger templates, CDC strategies, and application-level logging setups.

Generate APM monitoring dashboards for Grafana, Datadog, and New Relic covering golden signals, request metrics, resource utilization, database and cache metrics, errors, and KPIs. Outputs JSON or YAML configurations including queries, visualizations, panels, alerts, and setup instructions.

Encrypt and decrypt data with various algorithms using the /encrypt command and shortcut. Audit encryption implementations, validate crypto algorithms, and verify key management in codebases and configs during security reviews.

Audit PostgreSQL and MySQL databases for integrity issues including NULLs, orphans, invalid formats, ranges, and duplicates, then generate and enforce CHECK constraints, foreign keys, and triggers. Extend validation to application level with type checks, regex patterns, foreign key integrity, and custom business rules.

Split CSV datasets into stratified training, validation, and test sets using custom ratios for ML workflows, generating production-ready Python code with validation, error handling, performance metrics, artifact saving, and automatic documentation.

Implement horizontal database sharding for PostgreSQL, MySQL, and MongoDB at massive scale. Select shard keys, analyze data distribution, route queries, rebalance shards, and generate router code, migration plans, and monitoring setups using consistent hashing and virtual nodes.

Generate realistic test data for users, products, orders, technical fields, and custom schemas to populate fixtures, factories, seeds, edge cases, and databases in JS/TS/Python/Ruby apps using Faker.js, Fishery, pytest fixtures, and factory patterns.

Implement disaster recovery and point-in-time recovery (PITR) workflows for PostgreSQL and MySQL databases using WAL archiving, automated backups to S3 or local storage, failover procedures, RPO/RTO planning, testing runbooks, and multi-cloud support for AWS, GCP, Azure.

Deploy full monitoring stacks like Prometheus, Grafana, or Datadog to Kubernetes or Docker environments, configuring exporters, scrape targets, alerting rules, and Grafana dashboards. Generate production-ready DevOps setup code and configurations tailored to your infrastructure requirements.

Configure replication topologies, automate failover, monitor lag, resolve conflicts, and scale read replicas for high-availability setups in PostgreSQL, MySQL, and MongoDB databases.

Detect anomalies and outliers in datasets using ML algorithms like Isolation Forest, One-Class SVM, LOF, and autoencoders to identify unusual patterns. Generate Python code for custom anomaly detection tasks, including validation, error handling, performance metrics, insights, saved artifacts, and documentation.

Manage complete database migration workflows: generate timestamped up/down SQL or ORM files, validate schemas, execute migrations, perform rollbacks, and track evolution with version control for PostgreSQL, MySQL, MongoDB, and SQLite using Flyway, Alembic, Prisma, or Knex.

Monitor PostgreSQL, MySQL, and MongoDB health via CLI queries for connections, throughput, disk usage, cache ratios, and locks. Configure alerting thresholds, receive predictive alerts with remediation guidance, and deploy Grafana dashboards using Prometheus exporters for real-time oversight.

Analyze text sentiment from reviews, social media, or surveys, classifying as positive, negative, or neutral with confidence scores. Generate production-ready ML code for sentiment analysis including validation, error handling, performance metrics, insights, artifacts, and documentation.

Implement backup strategies for databases (PostgreSQL, MySQL, MongoDB), filesystems, and AWS resources using tar, rsync, pg_dump, and S3. Automate scheduling, retention, encryption, verification, and disaster recovery, while generating configs, setup code, and documentation for production DevOps.

Automate database testing workflows by generating test suites with data factories, transaction wrappers for automatic rollback, schema validation, assertions, cleanup, fixtures, migrations, integrity checks, and performance monitoring across PostgreSQL, MySQL, MongoDB, SQLite, Redis using Prisma, Drizzle, Jest, Pytest.

Run integration test suites for APIs, databases, services, queues, and files using real Dockerized dependencies without mocks. Automates full workflow: environment setup, database seeding, service orchestration, test execution with coverage reporting, and teardown cleanup. Select suites and configure environments via CLI flags.

Implement Real User Monitoring (RUM) in web apps to capture actual user performance data like Core Web Vitals, page loads, and custom events. Integrate with Google Analytics, Datadog, or New Relic for dashboards, alerts, segmentation, custom metrics, and privacy-compliant setups.

Execute K-means, DBSCAN, and hierarchical clustering on datasets to obtain group identifications, evaluation metrics, visualizations, auto-generated Python code with validation and error handling, insights, saved artifacts, and documentation.

Set up ML experiment tracking in Python projects using MLflow or Weights & Biases, automating package installs, tool initialization, and logging for parameters, metrics, and artifacts. Execute AI/ML tasks via context analysis, generating validated code, capturing metrics/insights, saving artifacts, and documenting results.

Audit database connections, calculate optimal pool sizes, configure app-level pooling parameters, and deploy PgBouncer or ProxySQL for PostgreSQL and MySQL to prevent exhaustion and boost throughput. Implement best practices with code examples for Node.js, Python, and Java.

Generate automated backup scripts, cron schedules, restore procedures, monitoring setups, and recovery plans for PostgreSQL, MySQL, MongoDB, and SQLite databases, including compression, encryption, and retention policies with AWS support.

Introspect PostgreSQL or MySQL schemas to generate ORM models, migrations, and relations for Prisma, Drizzle, TypeORM, Sequelize, SQLAlchemy, and Django ORM. Reverse-generate database schemas from models supporting JavaScript/TypeScript, Python, C#, Java, Ruby, PHP, and more.

Implement multi-tier database caching using Redis for L2 distributed cache, in-memory L1 cache, and CDN layers with cache-aside and write-through patterns, TTLs, and invalidation strategies to reduce database load and boost read performance for PostgreSQL and MySQL setups.

Generate realistic, relationally consistent test data and idempotent seed scripts by analyzing database schemas, respecting foreign keys, constraints, and data types with Faker libraries for dev/test environments across JS, Python, C#, Prisma, Node, and TypeScript.

Detect and resolve database deadlocks in PostgreSQL, MySQL, and MongoDB by running lock queries, parsing logs, tracing code, and applying preventive patterns. Generate Python and Node.js monitoring scripts, SQL analyzers, prevention docs, and dashboards for ongoing deadlock management.

Set up real-time monitoring for database transactions in PostgreSQL, MySQL, and MongoDB to detect long-running queries, lock contention, idle sessions, throughput issues, and rollbacks. Generate Python scripts, SQL queries, and alert configs for automated performance alerting via CLI.

Build and deploy NVIDIA-powered workflows across GPU acceleration, CUDA, AI inference, robotics, simulation, and Omniverse USD pipelines, with skills for infrastructure setup, deep research queries, optimization SDKs, and synthetic data generation.

Build and validate LLM evaluation pipelines: design judge prompts, calibrate against human labels, generate synthetic test data, audit pipeline trustworthiness, analyze failure modes, evaluate RAG systems, and collect human annotations via a browser UI.