Home Assistant sensor configuration and analytics patterns.

Conduct a comprehensive external network penetration test to identify vulnerabilities in internet-facing infrastructure using PTES methodology, reconnaissance, scanning, exploitation, and reporting.

Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential stuffing, brute force, password spraying, and compromised account behaviors across authentication logs. Activates for requests involving authentication anomaly detection, login behavior analysis, UEBA implementation, or suspicious sign-in investigation.

Builds real-time incident response dashboards in Splunk, Elastic, or Grafana to provide SOC analysts and leadership with situational awareness during active incidents, tracking affected systems, containment status, IOC spread, and response timeline. Use when IR teams need unified visibility during incident coordination and post-incident reporting.

Implements an integrated incident ticketing system connecting SIEM alerts to ServiceNow, Jira, or TheHive for structured incident tracking, SLA management, escalation workflows, and compliance documentation. Use when SOC teams need formalized incident lifecycle management with automated ticket creation, assignment routing, and resolution tracking.

Performs User and Entity Behavior Analytics (UEBA) to detect anomalous user activities including impossible travel, unusual access patterns, privilege abuse, and insider threats using SIEM-based behavioral baselines and statistical analysis. Use when SOC teams need to identify compromised accounts or insider threats through deviation from established behavioral norms.

Expert guide for analyzing application logs including log searching, pattern detection, error tracking, and debugging. Use when investigating issues, tracking errors, or understanding application behavior.

Maintain a clear and informative changelog for software releases. Use when documenting version changes, tracking features, or communicating updates to users. Handles semantic versioning, changelog formats, and release notes.

Enables real-time detection and tracking of hand gestures using computer vision in AR/VR environments.

Advanced ARKit features for complex AR development including scene reconstruction and 3D object tracking on iOS.

Automatic skill update management: check for updates, diff, apply, rollback, version tracking

Conduct effective daily standup meetings for agile teams. Use when facilitating standups, tracking blockers, or improving team synchronization. Handles standup format, time management, and blocker resolution.

Manages metadata for data assets to enable discovery, governance, and lineage tracking in data engineering.

Generates and analyzes financial reports using data aggregation, visualization, and compliance tools.

Analyzes game data metrics for player behavior tracking and performance optimization.

Food delivery: DoorDash/UberEats/Grubhub ordering, restaurant search, order status tracking

Token/cost tracking across OpenClaw instances, usage analytics, model spend monitoring

Creates Home Assistant dashboard cards programmatically using ha_card_utils.py utilities for static titles (fixes dynamic hover), color gradients (threshold-based), section separators (bubble-card), and info cards (markdown). Use when asked to "fix mini-graph title changing", "add color gradient to graph", "create dashboard section", "static title card_mod", or "organize dashboard with separators".

Extract structured data from multiple web pages using Playwright with built-in ethical crawling practices including rate limiting, robots.txt compliance, and error monitoring. Use when asked to "scrape data from", "extract information from pages", "collect data from site", "crawl multiple pages", or when gathering structured data from websites. Supports pagination, multi-page extraction, data aggregation, and export to CSV/JSON/Markdown. Works with browser_navigate, browser_evaluate, browser_wait_for, and browser_snapshot tools.

Complete ClickHouse operations guide for DevOps and SRE teams managing production deployments. Provides practical guidance on monitoring essential metrics (query latency, throughput, memory, disk), introspecting system tables, performance analysis, scaling strategies (vertical and horizontal), backup/disaster recovery, tuning at query/server/table levels, and troubleshooting common issues. Use when diagnosing ClickHouse problems, optimizing performance, planning capacity, setting up monitoring, implementing backups, or managing production clusters. Includes resource management strategies for disk space, connections, and background operations plus production checklists.

Implements defense-in-depth validation patterns for ClickHouse + Kafka data pipelines. Covers producer validation (msgspec schemas), consumer validation (anti-corruption layers), ClickHouse error streaming (kafka_handle_error_mode='stream'), idempotency with ReplacingMergeTree, schema evolution, and monitoring. Use when implementing data pipelines, handling Kafka errors, setting up validation layers, managing duplicates/idempotency, or monitoring Kafka consumption. Triggers on "validate kafka pipeline", "clickhouse error handling", "kafka deduplication", or "implement anti-corruption layer".

Guides for implementing real-time data aggregation and transformation pipelines using ClickHouse materialized views. Use when building real-time dashboards, streaming analytics, metrics aggregation, event processing, or continuous data transformation. Covers incremental aggregation, State/Merge functions, chaining views, schema evolution, and troubleshooting streaming pipelines.

Provides Home Assistant dashboard layout patterns using vertical-stack (top-to-bottom), horizontal-stack (side-by-side), grid (responsive multi-column), panel (full-screen), and nested layouts for complex designs. Use when asked to "arrange cards side by side", "create 3 column grid", "stack cards vertically", "full-screen panel view", or "responsive layout".

Exports Jira issues with flexible filtering and analyzes data using multiple formats (JSON, CSV, JSONL). Use when asked to "export Jira data", "bulk export tickets", "analyze Jira metrics", "extract issues to CSV", "get all issues from project", "export with filters", "analyze issue trends", or "prepare Jira data for reporting". Covers export patterns, format selection, pagination, filtering strategies, and analysis workflows for large datasets. Works with jira-tool CLI, JQL queries, and Python analysis scripts.

Implements conditional visibility for Home Assistant dashboard cards using state, numeric_state, screen, user, time, and/or conditions via Conditional Card wrapper and per-card visibility property. Use when asked to "hide card when", "show only if", "user-specific dashboard", "mobile vs desktop cards", "conditional visibility", or "show card based on state/time/user".

Comprehensive Excel spreadsheet creation, editing, and analysis using openpyxl and xlwings supporting formulas, formatting, data analysis, charts, and financial model color coding. Use when asked to "create a spreadsheet", "edit this Excel file", "analyze spreadsheet data", "preserve Excel formulas", "create financial model", or "recalculate formulas". Implements industry-standard color conventions (blue=inputs, black=formulas, green=internal links, red=external links, yellow=key assumptions) and zero formula error requirements. Works with .xlsx, .xlsm, .csv, .tsv files for professional spreadsheet workflows.

Configures HACS custom cards (ApexCharts, modern-circular-gauge, bubble-card, mini-graph-card, mushroom) for Home Assistant dashboards with validated configurations, color schemes, and error patterns. Use when asked to "add custom card", "install HACS card", "create gauge/graph", "ApexCharts dashboard", "mushroom cards", or "bubble separator".

Identifies and maps Lotus Notes reference database dependencies, lookups, and cross-database relationships. Use when analyzing how applications depend on shared reference databases (suppliers, catalogs, employees), tracking bidirectional relationships, handling orphaned references, or planning database synchronization.

Tests custom Micrometer metrics in unit and integration tests using SimpleMeterRegistry. Use when writing tests for services that record metrics, validating metric values after operations, testing percentiles and histograms, or asserting metric behavior without full Spring context. Essential for ensuring metrics are accurately recorded in business logic.

Testing adapters and gateways: when to use unit test mocks vs testcontainers, mocking HTTP responses (aioresponses, responses), mocking Kafka messages, mocking ClickHouse responses, testing error paths and edge cases. Use when: Testing gateways and adapters, testing external service integrations, deciding between mocks and real containers, testing error handling in adapters, integration testing with real services.

Provides Complete pytest configuration: pyproject.toml setup, custom markers registration, test discovery patterns, plugin configuration, environment-specific settings. Includes conftest.py hierarchy, fixture scoping, and coverage configuration. Use when: Setting up pytest in a project, configuring test discovery, creating shared fixtures, setting up coverage reporting, managing test environments, organizing conftest.py files.

Prevent OutOfMemoryError from unbounded metric tags by implementing cardinality limits. Use when adding tags to Micrometer metrics, normalizing URIs or IDs to bounded categories, monitoring metric explosion, or avoiding high-cardinality fields like user IDs and request IDs. Critical for production microservices in GKE with cost-sensitive monitoring backends.

SOQL query generation, optimization, and analysis with 100-point scoring. Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance or safety improvements for Salesforce queries. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use handling-sf-data), Apex DML logic (use generating-apex), or report/dashboard queries.

Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts. Use this skill when building business intelligence dashboards, monitoring systems, executive reports, or any interface that requires multiple coordinated data displays with filters, metrics, and visualizations working together.

SOQL query generation, optimization, and analysis with 100-point scoring. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use sf-data), Apex DML logic (use sf-apex), or report/dashboard queries.

Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.

Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.

Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock scoring, viral trend detection (Hot Scanner), and rumor/early signal detection. Use for stock analysis, portfolio tracking, earnings reactions, crypto monitoring, trending stocks, or finding rumors before they hit mainstream.

Specialized Preact development skill for standards-based web applications with native-first architecture and minimal dependency footprint. Use when building Preact projects, particularly those involving data visualization, interactive applications, single-page apps with HTM syntax, Web Components integration, CSV/JSON data parsing, WebGL shader visualizations, or zero-build solutions with vendored ESM imports.

Git commit quality and conventional commits expertise with automatic issue tracking integration. Auto-invokes when the user explicitly asks about commit message format, commit quality, conventional commits, commit history analysis, issue references in commits, or requests help writing commit messages. Integrates with the issue cache for automatic issue references.

Passive financial tracking plugin for PhoenixClaw. Automatically detects expenses and income from conversations and payment screenshots. Use when: - User mentions money/spending (any language) - User shares payment screenshots (WeChat Pay, Alipay, etc.) - User asks about finances ("How much did I spend?", "My budget") - User wants expense reports ("Monthly summary", "Spending analysis")

Observability patterns - metrics, logging, tracing, alerting, and infrastructure monitoring. Use for: monitoring, observability, prometheus, grafana, metrics, alerting, structured logging, distributed tracing, opentelemetry, SLO, SLI, dashboard, health check, loki, jaeger, datadog, pagerduty.

Use this skill any time a spreadsheet file is the primary input or output. Covers reading, editing, cleaning, modeling, formula repair, workbook generation, and converting tabular data into validated spreadsheet deliverables.

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.

GitHub label and milestone management expertise. Auto-invokes when labels, milestones, taxonomies, issue organization, sprint planning, or phase tracking are mentioned. Handles label CRUD, bulk operations, milestone creation/tracking/progress, and issue grouping for releases and sprints.

Guide for (a) auditing an existing whistleblower system or (b) drafting a compliant reporting policy from a provided template. Covers EU Directive 2019/1937, the amended Sapin II law (Waserman 2022), Decree 2022-1284, CNIL guidelines, public sector requirements, and duty of vigilance.

Fetch GDELT 2.0 GKG export snapshots from lastupdate/masterfilelist with retry, throttling, transport validation, and structure validation. Use when tasks need latest or time-range GKG files (*.gkg.csv.zip) for deterministic ingestion and machine-readable manifests.

Fetch GDELT 2.0 Global Mentions export snapshots from lastupdate/masterfilelist with retry, throttling, transport validation, and structure validation. Use when tasks need latest or time-range mentions files (*.mentions.CSV.zip) for deterministic ingestion and machine-readable manifests.

Fetch NASA FIRMS active fire detections from the area/csv endpoint for specified date windows, sources, and bounding boxes with retries, throttling, detailed logs, and transport/structure validation. Use when tasks need deterministic wildfire, open-burning, or smoke-source verification for ecology and environmental monitoring within a known coordinate window.

Time-series database implementation for metrics, IoT, financial data, and observability backends. Use when building dashboards, monitoring systems, IoT platforms, or financial applications. Covers TimescaleDB (PostgreSQL), InfluxDB, ClickHouse, QuestDB, continuous aggregates, downsampling (LTTB), and retention policies.

Architecture Decision Records (ADR) templates, sequential numbering, decision documentation patterns, and decision history management. Use when creating ADRs, documenting architectural decisions, tracking decision rationale, managing decision lifecycle, superseding decisions, searching decision history, or when user mentions ADR, architecture decision, decision record, decision tracking, or decision documentation.

This skill should be used when analyzing business sales and revenue data from CSV files to identify weak areas, generate statistical insights, and provide strategic improvement recommendations. Use when the user requests a business performance report, asks to analyze sales data, wants to identify areas of weakness, or needs recommendations on business improvement strategies.

Fetch GDELT 2.0 Events export snapshots from lastupdate/masterfilelist with retry, throttling, and detailed logs. Use when tasks need latest or time-range event data files (.export.CSV.zip) for deterministic ingestion and analysis.

Structured problem-solving framework with specialized agents for research, analysis, architecture decisions, validation, synthesis, reviews, investigations, and reporting. Use when tackling complex problems that need systematic exploration, evidence-based decisions, and persistent artifacts.

Repeatable process for keeping skills up-to-date with upstream sources and versions. Use when checking for stale skills, updating a skill for a new upstream version, auditing source freshness, or bootstrapping version tracking for a plugin.

Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.

Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.

Receive and verify Linear webhooks. Use when setting up Linear webhook handlers, debugging Linear signature verification, or handling Linear issue tracking events like Issue, Comment, Project, Cycle, IssueLabel, and IssueSLA create/update/remove actions.

Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection guidance. For implementing specific models programmatically use statsmodels.

Compare specs with implementation state, update spec status, and generate sync reports. Use when syncing specs, checking implementation status, marking tasks complete, generating sync reports, or when user mentions spec sync, status updates, or implementation tracking.

Monad tooling and infrastructure provider support directory. Use this skill whenever a developer asks which tools, services, or infrastructure providers support Monad (mainnet or testnet), or needs to find an RPC provider, block explorer, oracle, bridge, indexer, wallet, onramp, custody solution, analytics tool, toolkit, or wallet infrastructure provider for Monad. Also use when a developer asks "does X support Monad?" or "what providers are available for Y on Monad?". Covers all categories from the official Monad docs tooling page.

Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring frameworks use scholar-evaluation.

Read, write, and format Google Sheets spreadsheets. Manage cell values, ranges, formulas, pivot tables, and charts. Use when asked to update a gsheet, edit a Google spreadsheet, add formulas, or work with spreadsheet data.

Twitter/X account analytics, viral patterns, VIP follower discovery, tweet drafting. Use when analyzing a creator's reach, finding hidden-gem followers, or drafting tweets in someone's style (e.g. score @vitalik, draft tweet on AI).

This skill should be used when analyzing CSV datasets, handling missing values through intelligent imputation, and creating interactive dashboards to visualize data trends. Use this skill for tasks involving data quality assessment, automated missing value detection and filling, statistical analysis, and generating Plotly Dash dashboards for exploratory data analysis.

Log and analyze workouts. Use when the user wants to (1) record a workout at the gym via conversation, (2) parse workout markdown files to CSV, (3) query exercise history with DuckDB, or (4) track fitness progress. Triggers on "log workout", "record workout", "track workout", "add exercises", "what did I lift", etc.

Strategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and versioning, feature stores (Feast, Tecton), model serving patterns (Seldon, KServe, BentoML), ML pipeline orchestration (Kubeflow, Airflow), and model monitoring (drift detection, observability). Use when designing ML infrastructure, selecting MLOps platforms, implementing continuous training pipelines, or establishing model governance.

This skill should be used whenever users need help with resume creation, updating professional profiles, tracking career experiences, managing projects portfolio, or generating tailored resumes for job applications. On first use, extracts data from user's existing resume and maintains a structured database of experiences, projects, education, and skills. Generates professionally styled one-page PDF resumes customized for specific job roles by selecting only the most relevant information from the database.

Assist writers with story planning, character development, plot structuring, chapter writing, timeline tracking, and consistency checking. Use this skill when working with creative writing projects organized in folders containing characters, chapters, story planning documents, and summaries. Trigger this skill for tasks like "Help me develop this character," "Write the next chapter," "Check consistency across my story," or "Track the timeline of events."

Create/edit .xlsx spreadsheets with formulas, charts, and data validation. Use when asked to generate Excel reports, models, or exports.

Kalshi prediction market data (prices, odds, orderbooks, trades). Use for prediction markets, Kalshi, betting odds, election and sports betting, market forecasts. Provides real-time market data, event series information, and comprehensive trading analytics.

Training monitoring dashboard setup with TensorBoard and Weights & Biases (WandB) including real-time metrics tracking, experiment comparison, hyperparameter visualization, and integration patterns. Use when setting up training monitoring, tracking experiments, visualizing metrics, comparing model runs, or when user mentions TensorBoard, WandB, training metrics, experiment tracking, or monitoring dashboard.

This skill should be used when working with CSV files to create interactive data visualizations, generate statistical plots, analyze data distributions, create dashboards, or perform automatic data profiling. It provides comprehensive tools for exploratory data analysis using Plotly for interactive visualizations.

Documentation synchronization using Mem0 for tracking relationships between specs, architecture, ADRs, and roadmap

This skill should be used when helping with Home Assistant setup, including creating automations, modifying dashboards, checking entity states, debugging automations, and managing the smart home configuration. Use this for queries about HA entities, YAML automation/dashboard generation, or troubleshooting HA issues.

Track elapsed time from a set epoch with tamper-evident locking. Like an analog Hobbs meter but digital. Use for tracking uptime, service hours, time since events, sobriety counters, project duration, equipment runtime. Supports create, lock (seal), check, verify against external hash, list, and export operations.

Systematically debug issues, investigating bugs, troubleshooting problems, or tracking down errors with persistent state across context resets. Triggers include "debug", "investigate bug", "troubleshoot", "find the problem", "why isn't this working", and "debug session".

Reads, filters, transforms, and manipulates structured data using Nushell's pipeline commands. Use when working with CSV/TSV files, parsing command output, transforming tabular data, system administration tasks, or building data pipelines.

Use when the user wants to use the UCP CLI to find, compare, buy, or track products from online merchants, or to set up and troubleshoot the local UCP profile required for merchant-scoped operations. Covers global catalog search ("find me X under $Y"), named-merchant transactions ("buy this from Z.com"), order tracking, `ucp profile init`, `ucp doctor`, carts, checkout, orders, and UCP setup/help. Falls back to merchant-hosted handoff when direct in-protocol checkout isn't available.

Creates annotated bibliography-style manifests for Claude projects, tracking files, conversation threads, and relationships with unique IDs and annotations. Use when documenting project contents, creating file inventories, tracking conversation history, or building navigable knowledge maps.

Comprehensive earnings call analyst skill that orchestrates all Octagon earnings analysis skills. Use when analyzing earnings calls, extracting management insights, tracking guidance, and creating earnings-focused research reports.

Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting.

Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.

MUST USE when reviewing ClickHouse schemas, queries, or configurations. Contains 31 rules that MUST be checked before providing recommendations. Always read relevant rule files and cite specific rules in responses.

Comprehensive CSV data analysis and visualization tool. Use this skill when analyzing CSV files, generating data summaries, creating visualizations from data, detecting outliers, finding correlations, assessing data quality, or creating data reports. Triggers on CSV analysis, data exploration, data visualization, data profiling, statistical analysis, or data quality assessment requests.

Golang everyday observability — the always-on signals in production. Covers structured logging with slog, Prometheus metrics, OpenTelemetry distributed tracing, continuous profiling with pprof/Pyroscope, server-side RUM event tracking, alerting, and Grafana dashboards. Apply when instrumenting Go services for production monitoring, setting up metrics or alerting, adding OpenTelemetry tracing, correlating logs with traces, migrating legacy loggers (zap/logrus/zerolog) to slog, adding observability to new features, or implementing GDPR/CCPA-compliant tracking with Customer Data Platforms (CDP). Not for temporary deep-dive performance investigation (→ See `samber/cc-skills-golang@golang-benchmark` and `samber/cc-skills-golang@golang-performance` skills).

[STUB] Regulatory report generation including IRS Form 8949, Schedule D, FinCEN FBAR, and state-specific crypto reporting requirements

Systematic knowledge elicitation through structured interviewing with epistemic confidence tracking, MECE coverage verification, and bias-protected questioning. PROACTIVELY activate for: (1) Gather research requirements, (2) Elicit problem statements, (3) Extract domain knowledge, (4) Clarify research goals, (5) Generate requirements through discovery. Triggers: "interview me", "elicit knowledge", "extract information", "research interview", "gather requirements", "conduct interview", "knowledge extraction"

Real-time tax liability analysis for active crypto traders with proportional cost basis, gain classification, and tax-aware trading signals

Tax-loss harvesting opportunity identification, scoring, and planning with wash sale compliance and annual carryforward tracking

Double-entry bookkeeping for trading operations with ledger management, P&L statements, balance sheets, and cash flow reporting

Wash sale detection under 2025 US crypto rules with 61-day window monitoring, disallowed loss tracking, and safe re-entry countdown

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

Network reconnaissance — subdomain enumeration, port scanning, DNS/WHOIS/ASN lookups, endpoint discovery from JS, mass scanning, path discovery, CIDR/netblock analysis. Passive and active modes with corporate structure mapping and bounty program tracking. USE WHEN recon, reconnaissance, bug bounty, bounty programs, attack surface, subdomains, subdomain enumeration, port scan, mass scan, DNS, WHOIS, ASN, CIDR, netblock, IP recon, domain recon, passive recon, corporate structure, endpoint discovery, path discovery, scan results, analyze scan, update tools.

Generate comprehensive content briefs for writers, ensuring clarity, alignment, and strategic content creation across all formats.

Read and write Google Sheets spreadsheets - get content, update cells, append rows, fetch specific ranges, search for spreadsheets, and view metadata. Use when user asks to: read a spreadsheet, update cells, add data to Google Sheets, find a spreadsheet, check sheet contents, export spreadsheet data, or get cell values. Lightweight integration with standalone OAuth authentication supporting full read/write access.