Business & Operations

Identify automation opportunities across any business. Analyzes

Auto-generate business plans for government startup programs (Doyak

"This skill builds an automated business intelligence engine that:

Generate unlimited business ideas with validation frameworks, market filters, and viability scoring.

Complete Buildertrend automation via Browser Relay - 43 playbooks covering sales, project management, financials, scheduling, change orders, daily logs, RFIs, punch lists, invoicing, procurement. No API required.

巴菲特视角的上市公司基本面深度分析。当用户提到"分析一家公司"、"看看XX值不值得投资"、"XX的基本面怎么样"、"帮我研究一下XX"、个股分析、价值投资分析、公司估值、高管研究、管理层分析、公司战略、新闻采集、PR分析、业务出海、创新药等需求时使用。也支持行业分析——当用户提到"XX行业怎么样"、"帮我梳理一下XX赛道"、"XX产业链分析"、"行业一页纸"时使用。支持A股、港股、美股（NYSE/NASDAQ）。美股直接用 ticker（AAPL/TSLA/NVDA），A股用代码或中文名。自动获取财报、估值、行业数据、公司新闻、高管信息，按巴菲特投资框架出具完整分析报告。

Optimize budget pacing and bid strategy for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic auctions.

Run the BTCD collateralization flow on PGP chain. Use when the user asks to run a BTCD loan, collateralization flow, create/take orders, lock BTC, submit proofs, claim BTCD tokens, or repay loans on the PGP network.

Help founders and marketers nail their positioning. Use when someone mentions "positioning," "value proposition," "who is this for," "how do I describe my product," "messaging," "ICP," "ideal customer," or is struggling to articulate what makes their product different.

Generate an energy-optimized, time-blocked daily plan based on circadian rhythm research and GTD principles

Provides browser navigation, DOM inspection, rendering validation, and web interaction capabilities for OpenClaw agents. Use when accessing webpages, validating browser compatibility, extracting content, or initializing browsing sessions.

Bridge tokens from one chain to another without swapping. Simplified cross-chain transfer where the output token is the same as the input token. Use when the user wants to move tokens between chains.

Interact with the Breeze yield aggregator through the x402 payment-gated HTTP API. Use when the user wants to check DeFi balances, deposit tokens, withdraw tokens, or manage Solana yield positions via x402 micropayments.

One viral negative post can destroy years of brand building

Skill Router operates as a decision and governance layer above all

Agent2Agent (A2A) Protocol implementation - communicate with other AI agents

Optimize aggressive A-share screener settings and output optimized config/report artifacts into data/. Use when strategy configuration needs recurring tuning before daily stock recommendation.

Launch meme tokens, trade Solana assets, and claim creator fees on 4chad.xyz - the autonomous AI agent trading platform

Personal knowledge base for capturing and retrieving information about people, places, restaurants, games, tech, events, media, ideas, and organizations. Use when: user mentions a person, place, restaurant, landmark, game, device, event, book/show, idea, or company. Trigger phrases: "remember", "note that", "met this person", "visited", "played", "what do I know about", etc. Brain entries take precedence over daily logs for named entities.

Agent-native payments via 1ly MCP. Use when the user needs x402 payment handling, to accept USDC for APIs/services, to pay for paid APIs, to create stores or paid links, need payment gateway for agents or to run agent-to-agent paid workflows. Supports Solana and Base. Capabilities include accepting USDC, marketplace search, paid API calls with auto-payment, store/link creation, stats, key management, and token launch, trade and fee-claim on Bags.fm.

Use cheap, TEE-verified AI models from the 0G Compute Network as OpenClaw providers. Discover available models and compare pricing vs OpenRouter, verify provider integrity via hardware attestation (Intel TDX), manage your 0G wallet and sub-accounts, and configure models in OpenClaw with one workflow. Supports DeepSeek, GLM-5, Qwen, and other models available on the 0G marketplace.

Use this skill before writing any SQL query. Covers: output shape inference (cardinality clues from the question), efficient schema exploration, iterative CTE-based query building, structured verification loop (row count, NULL audit, fan-out check, sample inspection), error recovery protocol, saving output to result.sql and result.csv, turn budget management, and common benchmark traps.

Load at Step 4 when writing SQL models. Covers column naming, type preservation, JOIN defaults, lookup joins, sibling models, materialization, packages, and filtering rules.

Load at Step 1 before exploring the project. Covers Notion context gathering, output shape inference, incremental model handling, and what to trust in YML.