Claude Skills by Lord1Egypt

Direct-OAuth Google Workspace operator skill. Sends/reads Gmail, manages Calendar events, creates and edits Google Docs/Sheets/Slides, browses Drive folders (including shared ones). Always call the matching tool fresh — never narrate; never assume an earlier result is still current.

Goose dating for AI agents — goose-loyal dating, goose-protective connections, and goose-formation commitment. Your buddy honks at bad matches. Dating goose-hearted on inbed.ai. 鹅约会。Citas de ganso.

Goose dating for AI agents — loyal like a goose, protective like a goose, flying in formation toward commitment. Goose-level loyalty, goose connections, and goose-hearted relationships on inbed.ai. 鹅、忠诚。Ganso, lealtad.

Fetch Aavegotchi by ID from Base mainnet and display image with full traits. Shows on-chain SVG, converts to PNG, and displays complete gotchi stats.

绑定邮箱账户并管理邮件。支持 163/126/QQ/雅虎邮箱（IMAP/SMTP+授权码）、Gmail（IMAP+App密码）、企业邮箱（自定义IMAP/SMTP服务器，端口可配）。不支持需要 OAuth 的邮箱（Outlook/M365/iCloud）。触发词：绑定邮箱、添加邮箱、配置邮箱、读邮件、查收邮件、发邮件、bind email、setup email、connect mailbox。

Activate all CREATED conditions under a Gougoubi proposal with deterministic committee checks, optional auto-stake joining, and structured voting results. Use when users want to activate proposal conditions by proposal id or proposal address.

Claim all Gougoubi rewards for one or more addresses, including winner rewards, governance rewards, and LP rewards. Use when users want one-click claiming without scanning every condition.

Create a Gougoubi proposal condition from minimal input with deterministic defaults for deadline, trade deadline, normalization, and transaction submission. Use when users want to add conditions to an existing proposal.

Create public Gougoubi prediction proposals from minimal input with deterministic enrichment, group creation, approval handling, and transaction submission. Use when users want to publish a new prediction market.

Submit real-world outcomes for Gougoubi conditions using deterministic evidence from condition skills and public market data. Use when users want resolved-only submission, full settlement checks, or forced fallback submission for pending conditions.

Scrape government permit databases (liquor licenses, business registrations, contractor permits, health permits) to generate B2B sales leads. Enriches raw permit data with business emails via web scraping, then auto-emails outreach. Use when building lead lists from public records, scraping state licensing databases, generating B2B leads from government data, prospecting newly licensed businesses, or building insurance/services outreach pipelines targeting permit holders.

Generate images from text prompts using the WellAPI gpt-image-2 model. Use this skill whenever the user asks to create, draw, render, or generate an image, picture, illustration, artwork, photo, or visual from a textual description. Handles API key onboarding, authenticated requests to https://wellapi.ai/v1/images/generations, and decoding the returned base64 image into a local file.

Turn rough AI image ideas into structured GPT Image 2 prompt packs, reference-image edit instructions, product photo prompts, UI mockup prompts, and debugging loops. Use when the user wants better AI image prompts for ecommerce visuals, readable text, posters, social media creatives, product mockups, character sheets, storyboards, headshots, image-to-video source frames, or GPT Image 2 prompt rewriting.

Download Douyin (抖音) videos via the TikHub API — no login required. USE THIS SKILL whenever the user: - Shares a Douyin link (v.douyin.com, douyin.com, or any URL containing "douyin") - Pastes a modal_id or aweme_id (16–19 digit number) - Says "下载视频", "帮我下载", "save this video", "download this douyin" - Shares a short-link like "复制链接" text containing v.douyin.com - Asks to save, grab, or fetch a Douyin clip Always use this skill when you detect a Douyin URL or a numeric video ID — even if th...

Complete grant intelligence system for individuals, nonprofits, startups, researchers, and small businesses. Trigger whenever someone needs to find grants, write grant applications, understand eligibility criteria, respond to reviewer feedback, or manage grant compliance. Also triggers on phrases like "find funding for", "apply for a grant", "write a grant proposal", "we need government funding", "what grants are available for", or any scenario where someone is seeking non-dilutive funding fr...

Graph-RAG memory system using Graphiti temporal knowledge graph + FalkorDB + local Ollama embeddings. Provides persistent, queryable long-term memory for OpenClaw agents via a MoE-style (Mixture-of-Experts) multi-embedding router. Use when: setting up persistent agent memory, querying past conversations or facts, ingesting documents into the memory graph, checking memory system status, or integrating graph-rag memory into an OpenClaw agent. Triggers on: "memory system", "graph rag", "graphiti...

Install and use GrayMatter as an OpenClaw skill that provides primary durable memory, shared object-graph state, and authenticated access to the live ValkyrAI schema via api-0. Use when the agent should persist durable memory, inspect organizational data models, and operate inside the business domain through RBAC-scoped API access.

Multi-Platform Content Discovery for AI Agents

Multi-agent AI investment analyst team implementing legendary investor philosophies (Buffett, Munger, Lynch, Taleb, Burry, etc.) to analyze stocks and generate investment signals.

AI Agent 安全与绿色运维顾问。合并 EcoCompute（GPU 能耗优化）与 OpenClaw/Bagman（安全密钥管理）， 提供 LLM 推理部署的能效分析、密钥安全管理、泄露防护和注入防御一体化方案。 Use when handling GPU energy optimization for LLM inference, secure key management for AI agents, or when deploying AI systems that need both efficiency and security auditing.

Agent-Powered Carbon Credit Trading & CBAM Compliance. Build autonomous carbon credit trading agents: credit discovery, MRV verification, escrow-protected trading, CBAM compliance automation, multi-agent portfolios, and dispute resolution. Includes detailed Python code examples for every pattern.

Agent Commerce Discovery. Build machine-readable service catalogs, knowledge graphs, and UCP/MCP/A2A protocol endpoints so AI shopping agents can discover, evaluate, and transact with your services autonomously.

Agent Commerce Migration Guide: Retrofit Your REST APIs for Autonomous Agent Buyers. Step-by-step migration guide for teams with existing REST APIs that need to add agent commerce capabilities. Assessment framework, x402 retrofit patterns, authentication bridging, gradual migration strategies, testing, rollback procedures, and performance comparison.

Agent Commerce Quick Start: Your First Autonomous Transaction in 30 Minutes. Free quick-start guide to agent commerce: what it is, how x402 works, your first API call, 3 working code examples, and what to build next. The fastest on-ramp to the agent economy.

Locking Down Agent Commerce: The OWASP-Aligned Security Guide for Autonomous AI Agents on GreenHelix. Practical security hardening for AI agents handling real money: OWASP Top 10 mapped to agent commerce patterns with copy-paste production code for identity, credentials, payments, and monitoring.

Agent-to-Agent Commerce: Build Autonomous B2B Transactions. Complete guide to agent-to-agent payments: escrow, performance escrow, split payments, subscriptions, disputes, and trust. Includes detailed Python code examples with full API integration.

EU AI Act Compliance for Autonomous Agents. Complete compliance toolkit for AI agent commerce: EU AI Act risk classification, Annex IV technical documentation, cryptographic audit trails (Article 12), liability-bounded escrow patterns, machine-readable service contracts, continuous compliance monitoring, and a 12-week sprint plan to August 2, 2026. Includes working Python code, contract templates, and checklists.

Agent Content Licensing & Royalty Rails. Build agent-to-agent content licensing: digital asset registry, programmatic license negotiation, usage metering, provenance tracking, automated royalty splits, and dispute resolution. Includes detailed Python code examples for every pattern.

Agent Contract Lifecycle Management. Build automated contract lifecycle management for AI agents: machine-readable SLAs, escrow-backed execution, real-time obligation tracking, automated penalty enforcement, and renewal workflows. Includes detailed Python code examples for every pattern.

AI Agent Cost Optimization Cookbook: Cut Your Agent Bills by 60% Without Sacrificing Quality. Practical recipes for reducing AI agent operational costs. Covers LLM cost analysis, prompt caching, model routing, token optimization, observability cost control, outcome-based metering, and infrastructure right-sizing. Includes working Python code and real cost reduction case studies.

Agent Credential Wallets: Verifiable Intent & Delegation Chains. Build agent credential wallets with Verifiable Intent, SD-JWT delegation chains, cross-protocol presentation (AP2/UCP/ACP/x402), eIDAS 2.0 EUDI compliance, and reputation-bound credentials. Includes detailed Python code examples for every pattern.

Agent Dispute Resolution & Chargeback Defense. Build automated dispute resolution pipelines, implement Verifiable Intent-compatible evidence chains, and defend against chargebacks in agent-to-agent transactions. Covers disputes, escrow, SLA enforcement, and trust verification with detailed code examples with code.

The Agent Economy Architect. Build, simulate, and launch a complete agent-to-agent commerce economy using a 128-tool stack and the A2A/AP2/x402 protocol suite. The capstone guide that ties together the full product catalog.

Agent-Powered P2P Energy Trading for Prosumer Microgrids. Build autonomous P2P energy trading agents: prosumer registration, smart meter integration, dynamic pricing, escrow-protected settlement, multi-agent microgrid orchestration, and regulatory compliance. Includes detailed Python code examples for every pattern.

The AI Agent FinOps Playbook: Budget Enforcement, Cost Allocation & Spend Analytics for Multi-Agent Systems. Complete guide to cost governance for multi-agent systems: per-agent wallets, budget caps, spend alerts via webhooks, cost attribution, volume discounts, fleet dashboards, and API key isolation. Includes detailed Python code examples with full API integration.

AgentOps: Managing AI Agent Fleets in Production. The SRE playbook for AI agent fleets: provisioning, observability, cost-aware routing, SLA enforcement, scaling patterns, EU AI Act governance, and the Fleet Commander dashboard. Includes detailed Python code examples with full API integration.

The Agent Incident Response Playbook: Detect, Contain, Recover, and Learn When AI Agent Systems Fail. Structured runbooks for AI agent commerce failures: runaway spending, escrow exploitation, identity compromise, service degradation, and cascade failures. Includes detailed code examples with Python classes for automated detection, containment, recovery, and post-mortem forensics with full API integration.

The Agent Insurance Playbook. Build agent-native insurance infrastructure: risk pools, liability bonds, automated claims processing, and regulatory compliance. Covers disputes, trust verification, ledger reconciliation, and SLA enforcement with detailed code examples with code.

The Agent Interoperability Bridge: Connecting GreenHelix Agents to x402, ACP, A2A, MCP, Visa TAP, Google AP2/UCP, PayPal Agent Ready, and OpenAI ACP Ecosystems. Practical guide to building working protocol bridges between all nine major agentic web protocols: x402 v2 micropayments, ACP merchant checkout, A2A v2 task orchestration, MCP 1.5+ tool integration, Visa TAP card-network payments, Google AP2 real-time payments, UCP service orchestration, PayPal Agent Ready, and OpenAI ACP commerce flo...

Know Your Agent (KYA) Implementation Playbook. Build a production KYA verification pipeline: agent identity binding, authority scoping, runtime behavioral monitoring, and tamper-evident audit trails for EU AI Act compliance. Includes detailed Python code examples for every pattern.

Agent Loyalty & Incentives Engineering. Build machine-readable loyalty programs, rewards APIs, and incentive protocols that AI shopping agents can discover, evaluate, and redeem autonomously. Covers UCP, UIP, and full API integration with detailed code examples with code.

Agent Memory for Commerce. Build commerce agents that remember customers, maintain transaction state across sessions, and reconcile billing context at scale using tiered memory architecture. Includes detailed Python code examples with full API integration.

Agent Migration & Versioning: Blue-Green Deployments, Canary Releases, and Rollback Strategies for AI Agent Commerce. Complete migration and versioning architecture for AI agent commerce systems: semantic versioning with version vector tracking, pre-migration escrow draining and budget freezing, blue-green deployment with warm standby, canary releases with progressive traffic shifting and automated health checks, three-layer rollback (service, financial, reputation), and full state migration ...

Agent Negotiation Strategies: Game Theory, Auctions, and Dynamic Pricing for AI Agent Commerce. Translates auction theory, BATNA calculation, concession strategies, coalition formation, and trust-based pricing from academic research into working Python code with full API integration. Covers English/Dutch/sealed-bid/Vickrey auctions, multi-round negotiation with Boulware and Zeuthen strategies, dynamic pricing, Shapley value coalition division, and anti-manipulation detection.

Agent Observability Stack: Distributed Tracing, Metrics, and Alerting for Multi-Agent Systems. Build a complete observability stack for agent commerce: OpenTelemetry integration, distributed tracing across agent calls, custom metrics, anomaly detection, dashboard design, SLA monitoring, and cost attribution. Includes detailed Python code examples with full API integration.

The Agent Payment Rails Playbook. Ship multi-protocol agentic payments (x402, ACP, AP2, UCP, MPP) with spending controls, KYA compliance, and escrow protection from first transaction to production.

The Agent Pricing & Monetization Playbook. Ship your agent's pricing strategy: usage metering, outcome billing, marketplace listing, and A2A payment wiring. Includes detailed Python code examples with full API integration.

The Agent Procurement Playbook. Build autonomous purchasing agents with spending controls, vendor evaluation, escrow protection, and multi-protocol buying across UCP, ACP, and A2A marketplaces. Includes detailed Python code examples with full API integration.

The Agent Production Hardening Guide. Step-by-step playbook to take AI agent systems from pilot to production with SLOs, circuit breakers, cost guardrails, and EU AI Act compliance checklists. Covers monitoring, SLA enforcement, and detailed code examples with deployment patterns.

Agent-Ready Commerce: Retrofit Your APIs for AI Buyers. Build agent-discoverable storefronts and API-first product feeds so AI shopping agents choose your products over competitors. Covers structured data, UCP/ACP/x402 payment rails, and marketplace integration with detailed code examples with code.