Category
Data & Analytics
Database connectors, data processing pipelines, and analytics tools. These skills enable AI agents to query, transform, and visualize data from various sources.
989 skills in this category
salesforce
openclaw/skills
100Salesforce CRM API integration with managed OAuth. Query records with SOQL, manage sObjects (Contacts, Accounts, Leads, Opportunities), and perform batch operations. Use this skill when users want to interact with Salesforce data. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).
SKILLPASSING0 Findingsabout 2 months agous-market-bubble-detector
openclaw/skills
100Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.
SKILLPASSING0 Findingsabout 2 months agotrading-analyzer
openclaw/skills
100Multi-source trading analyzer (`/drunk-trading-analyzer`) combining crypto data (TradingView), stock data (Alpha Vantage), and market intelligence (Yahoo Finance) into unified analysis reports with price trends, technical indicators, and sentiment analysis.
SKILLPASSING0 Findingsabout 2 months agoelastic
openclaw/skills
100Search and analyze data via Elasticsearch API. Index, search, and manage clusters.
SKILLPASSING0 Findingsabout 2 months agoconfluent-ksqldb
openclaw/skills
100ksqlDB stream processing expert. Covers SQL-like queries on Kafka topics, stream and table concepts, joins, aggregations, windowing, materialized views, and real-time data transformations. Activates for ksqldb, ksql, stream processing, kafka sql, real-time analytics, windowing, stream joins, table joins, materialized views.
SKILLPASSING0 Findingsabout 2 months agotelegram-ascii-table
openclaw/skills
100Format tabular data as ASCII box tables for Telegram. Stdin-only input eliminates shell injection risks. Handles smart column sizing, text wrapping, and proper padding for monospace display.
SKILLPASSING0 Findingsabout 2 months agozoho-recruit
openclaw/skills
100Zoho Recruit API integration with managed OAuth. Manage candidates, job openings, interviews, and recruitment workflows. Use this skill when users want to read, create, update, or search recruitment data like candidates, job openings, interviews, and applications in Zoho Recruit. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Requires network access and valid Maton API key.
SKILLPASSING0 Findingsabout 2 months agounity-ecs-patterns
wshobson/agents
100Master Unity ECS (Entity Component System) with DOTS, Jobs, and Burst for high-performance game development. Use when building data-oriented games, optimizing performance, or working with large entity counts.
SKILLPASSING0 Findingsabout 2 months agoairtable
openclaw/skills
100Airtable API integration with managed OAuth. Manage bases, tables, and records. Use this skill when users want to read, create, update, or delete Airtable records, or query data with filter formulas. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).
SKILLPASSING0 Findingsabout 2 months agojotform
openclaw/skills
100JotForm API integration with managed OAuth. Create forms, manage submissions, and access form data. Use this skill when users want to interact with JotForm forms and submissions. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).
SKILLPASSING0 Findingsabout 2 months agobackup-script-gen
openclaw/skills
100Generate database backup scripts with AI. Use when you need automated backups to S3, GCS, or local storage.
SKILLPASSING0 Findingsabout 2 months agohugging-face-jobs
huggingface/skills
100This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.
SKILLPASSING0 Findingsabout 2 months ago