Read and manage Kubera.com portfolio data (net worth, assets, debts, allocation, holdings). Use when a user asks about their finances, net worth, portfolio, investments, holdings, asset allocation, or wants to update asset values in Kubera. Works with any AI agent or CLI that can run Python scripts.

Kustomer integration. Manage Organizations, Users, Goals, Filters. Use when the user wants to interact with Kustomer data.

Kuvera portfolio & market data CLI. Query mutual fund data, gold prices, USD/INR rates, fund category returns, and user portfolio info from Kuvera. Use when the user asks about their investments, mutual funds, gold prices, market overview, or Kuvera portfolio.

Use this skill when users need KVcore CRM actions through MCP/CLI (contacts, tags, notes, calls, email, text, campaigns), including raw endpoint access and optional Twilio call fallback.

Sync Feishu docs into local cache for OpenClaw-first reading, reducing API calls and token cost. / 把飞书文档同步为本地缓存供 OpenClaw 优先读取，显著降低飞书 API 请求频率与 token 成本。

Research any topic across Reddit, X/Twitter, and the web from the last 30 days. Synthesizes findings into actionable insights or copy-paste prompts.

Enrich your existing leads, contacts, and company lists with verified B2B data. Add missing emails, phone numbers, firmographics, technographics, and job details. Supports single records and bulk CSV enrichment. Perfect for CRM hygiene, list cleaning, and data append workflows. Powered by Explorium AgentSource. Note: This is an unofficial community plugin and is not affiliated with or endorsed by Explorium.

Enrich contact and lead records with LinkedIn profiles, email addresses, company data, and education info. Use when asked to "enrich contacts", "fill in missing data", "find emails for leads", "complete lead profiles", "look up company info", or any bulk data completion task for CRM records.

Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queries, and discovers people actively looking for solutions you offer. Social selling and prospecting powered by 1.5B+ indexed posts via Xpoz MCP.

Automated lead generation + enrichment for AI agents. Find prospects, enrich with emails/socials/company data, score & prioritize. Your agent builds pipeline while you sleep.

Skill for interacting with the Lean-Claw Arena to prove math theorems using Lean 4.

Track book availability on Libby/OverDrive libraries. Search library catalogues, manage a watchlist, and get notified when books are added. Use for "libby", "check libby", "libby watchlist", "is book on libby", "book available", "overdrive", "library catalogue", "ספרייה", "ספרים".

Query and manage Linear issues, projects, cycles, and teams via the Linear GraphQL API. Use when you need to list or create issues, check cycle status, manage projects, or search across your workspace. Calls api.linear.app directly with no third-party proxy.

Linear API integration with managed OAuth. Query and manage issues, projects, teams, cycles, and labels using GraphQL. Use this skill when users want to create, update, or query Linear issues, search for tasks, manage projects, or track work. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Requires network access and valid Maton API key.

Interact with Linear for issue tracking. Use when creating, updating, listing, or searching issues. Supports viewing assigned issues, changing status, adding comments, and managing tasks.

Linear integration. Manage Issues, Projects, Teams, Users, Cycles, Labels and more. Use when the user wants to interact with Linear data.

LinkedIn automation via browser relay or cookies for messaging, profile viewing, and network actions.

LinkedIn integration. Manage Users, Organizations. Use when the user wants to interact with LinkedIn data.

A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.

Query Linz Linien raw EFA endpoints for stop lookup and live departures. Use when tasks involve Linz public transport stop search, resolving stop IDs from stop names, or fetching upcoming departures from a stop.

LLM-as-a-Judge evaluation system using Langfuse. Score AI outputs on relevance, accuracy, hallucination, and helpfulness. Backfill scoring on historical traces. Uses GPT-5-nano for cost-efficient judging. Use when evaluating AI quality, building evals, or monitoring output accuracy.

LLM-as-a-Judge evaluator via Langfuse. Scores traces on relevance, accuracy, hallucination, and helpfulness using GPT-5-nano as judge. Supports single trace scoring, batch backfill, and test mode. Integrates with Langfuse dashboard for observability. Triggers: evaluate trace, score quality, check accuracy, backfill scores, test evaluator, LLM judge.

Local Memory Search

Book real-world services through Lokuli MCP. Use when user needs to find, check availability, or book local services like plumbers, electricians, cleaners, mechanics, barbers, personal trainers, etc. Triggers on requests like "book me a haircut", "find a plumber near me", "I need a smog check", "schedule a massage", or any local service request. 75+ service categories available.