Search: "money"

Automate Moneybird tasks via Rube MCP (Composio). Always search tools first for current schemas.

Domain knowledge for SMB industry products — the vocabulary, the entities a spec must model, the incumbent to route around, and what a naive build gets wrong — one file per industry, plus local SEO and money-on-a-phone. Read the one file that applies before speccing or building the product.

Does this product make money at a price someone will pay? Forces contribution margin, a price with a stated basis, and a bottom-up market size — each number labelled measured / assumed / unknown, so a guess can never be read as a calculation.

Vibe-Coding is easy. DevOps is hard. OpenCode & Git token-efficient AI agent automation for your app, business, and personal development. Opinionated tools, services, CLI & API stack for speed, security, and 24/7 results. Open-source first. SOTA everything. Try on your repos for money-making magic.

Use this skill when a publisher wants a multi-period earnings trend across their configured networks, how concentrated their earnings are in one or two programmes, and how long money typically takes to move from converted to approved to paid so they can forecast the next payout. This is the premium extension of the free `affiliate-earnings-report` skill, not a replacement for it. Trigger on: "Show my earnings trend over the last six months", "How concentrated is my income in one programme?", "How long does [network] usually take to pay me?", "Forecast when my pending commissions will land".

Use this skill to triage inbound customer and user feedback for affiliate-mcp in prepare-and-approve mode: read new and updated GitHub issues and the support inbox, draft grounded replies from the repo's own docs, propose triage labels, and escalate anything ambiguous, tense, or money-related to the operator. It drafts replies and proposes labels; it never posts a public comment or sends an email itself. Trigger on: "triage the support queue", "draft replies to new issues", "any new user feedback?", "handle customer service", "what did users report today?".

How to run a performance review across ad accounts with Adako, the MCP server and REST API that connects this assistant to Google Ads, Meta Ads, ChatGPT Ads, TikTok Ads and LinkedIn Ads. Use it whenever the user asks how campaigns did, what a period cost and returned, why results changed, which campaigns are wasting money, how one week compares with the last, or asks for a weekly or monthly account review across one or several accounts. It gives the order of calls per platform, the metric each objective is judged on, how to fan out across accounts, how to explain a change instead of guessing at it, and how to present the numbers.

How to run a performance review across ad accounts with Adako, the MCP server and REST API that connects this assistant to Google Ads, Meta Ads, ChatGPT Ads, TikTok Ads and LinkedIn Ads. Use it whenever the user asks how campaigns did, what a period cost and returned, why results changed, which campaigns are wasting money, how one week compares with the last, or asks for a weekly or monthly account review across one or several accounts. It gives the order of calls per platform, the metric each objective is judged on, how to fan out across accounts, how to explain a change instead of guessing at it, and how to present the numbers.