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).

Mine project files and conversation history into a local, searchable semantic memory palace, then query it during development to recall past work, decisions, and context without relying on model memory.

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.

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.

Saves context window by sandboxing code execution in 11 languages, indexing project files into a persistent FTS5 knowledge base with BM25 ranking, and automatically restoring session state across compactions.

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 ML lifecycle on Hugging Face Hub: search and select models, train or fine-tune with TRL/Unsloth, evaluate locally, build and deploy Gradio demos on Spaces, publish research papers, and monitor training metrics — all from the command line or agent.

Provides an opt-in productivity coaching system for Claude Code that enforces structured troubleshooting, evidence-based delivery, and multi-role agent orchestration. Activates automated retry loops, quality verification, and workplace-style process cues to drive task completion after repeated failures or passive behavior.

Write and optimize SQL across data warehouses, profile datasets, and generate interactive dashboards or publication-quality charts from queries or files. Automates data analysis with natural language queries and connects to analytics platforms like Amplitude and Hex.

Manage iMessage access control for Claude Code — approve or deny pairing requests, edit sender allowlists, set DM and group chat policies, and check that Full Disk Access and chat.db are properly configured.

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.

Accelerate early-stage life sciences R&D by connecting to preclinical research tools and databases for literature search, genomics analysis, target prioritization, and data conversion.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

Execute shell commands, manage persistent processes and full filesystem access—including PDFs, DOCX, Excel, images, CSVs—plus ripgrep searches, SSH, and cross-turn state on your local desktop directly via Claude agents.

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.

Run institutional-grade equity research on A/HK/US stocks with deep fundamental analysis, 65-investor panel voting, pump-and-dump fraud detection, DCF/comps/LBO valuation, portfolio attribution, and Bloomberg-style HTML reports.

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 complex browser workflows from natural language commands — navigate websites, extract data, fill forms, and run AI-powered UI tests, all without writing code.

Govern AI use across the firm: triage use cases against your registry, run impact assessments under relevant regimes, review vendor AI terms for training-data and liability gaps, and keep policies current with automated drift detection and regulatory gap analysis.

Query SQL databases and tabular files using SLQ or native SQL, manage database sources, inspect schemas, and diff tables from the command line

Generate 35 structured engineering documents — including incident postmortems, architecture decision records, code review checklists, PR descriptions, changelogs, runbooks, test strategies, threat models, SLO definitions, and migration plans — directly from rough notes, logs, or git history within Claude Code.

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 manage PortalJS data portals: recommend an architecture, scaffold a portal, add datasets (CSV/TSV/JSON/GeoJSON), create charts (recharts) and interactive maps (Leaflet), connect a CKAN backend, harvest datasets from open-data platforms, infer data schemas, audit data quality, and deploy to PortalJS Arc hosting.

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 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.

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.

Run structured product data analyses including metric deep-dives, funnel analysis, cohort studies, and churn investigations, then interpret results against targets to produce health reports with RAG status, trend analysis, root cause hypotheses, and prioritized actions.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.