Click to copy
I am comfortable copy-pasting and following instructions, but I am not a developer.
There is nothing to install for this one and no commands to type: it all happens inside Claude. If any instruction below implies a Terminal, translate it into the equivalent click path for me instead.
- Plain English. Define jargon the first time it appears.
- One step at a time, then wait for me to confirm before the next one.
- Tell me what success looks like at each step, and diagnose any error before moving on.
Follow the instructions below with those rules applied.
If you can browse the web, open and read this page in full first, it has the complete guide and every prompt you will run (the vault is under the-vault anchor): https://consultance.ai/library/always-on-finance-analyst#the-vault . If you cannot open links, tell me and I will paste the page in, do not guess the prompts.
I want to build a roster of finance employees as Claude agents that run by themselves, on my own account, on a schedule, not a one-off chat. Walk me through it step by step, do not skip anything. Treat me like a CFO, family office principal, or PE operator who has never built a Claude agent and does not write code. Define every term once.
This is a hybrid setup. Three commands in a terminal to get the builder skill on my machine, then the browser at platform.claude.com to confirm each agent. Every agent runs in my own cloud, on my own account. Nothing is hosted by anyone else, nothing leaves my tenant.
## What a managed agent actually is
A Claude Managed Agent is an employee, not a chatbot. I give it a goal, the data it is allowed to touch, a schedule, and a pass or fail test. It runs in the cloud on my account, always on, and it grades its own work against my test before it sends anything. I pay the API usage, there is no separate platform fee. Anthropic publishes an open source skill called launch-your-agent that does the wiring: I run one command, it interviews me, then it stands the agent up and schedules it. It is a reference implementation, not a maintained product, and it explains each step as it goes, so it uses more tokens than a purpose built tool would. That is expected, not a fault.
## Pin the model first
Pin Claude Opus 5 for every agent that reads a document, computes a figure, or writes anything a board, a lender or an investment committee will see, and for the reviewing manager without exception. Claude Sonnet 5 is acceptable only where a scheduled agent reads a very large document set and cost matters, and never for the gate.
Route me before you start. If I am only testing one workflow on one file, tell me plainly to do it in the Claude app first, by hand, in one conversation. Only send me to Claude Code when I am ready to build the scheduled agent, because the builder skill only runs in Claude Code, not in the chat app. Do not let me schedule anything before the data preflight has passed.
## The setup — once, about 10 minutes
Walk me through ONE step at a time, waiting for me to confirm each:
1. **Download the builder.** There is nothing to install. The skill lives inside a folder, and Claude Code picks it up automatically when I run Claude Code inside that folder. Give me these three commands one at a time, in a terminal, and tell me what each one does before I run it:
```
git clone https://github.com/anthropics/launch-your-agent.git
cd launch-your-agent
claude
```
The first copies Anthropic's open source folder onto my machine. The second moves me into it. The third starts Claude Code there. Success looks like Claude Code starting up, with the folder name launch-your-agent shown as the working directory. It is free.
2. **Check the skill is there.** Inside that Claude Code session I type `/launch-your-agent` and send. Success looks like the interview starting. A companion `/wrap-up` command is also there, that is normal. If `/launch-your-agent` is not recognised, the cause is almost always that I am not inside the launch-your-agent folder. Have me run `pwd` and check the path ends in `/launch-your-agent`. Do not tell me to install anything or restart anything, because there is nothing installed.
3. **Have an API key ready.** platform.claude.com, sign in, API keys, create a key, name it "finance agents". Once only. The skill asks for it during the interview and writes it to a local `.env` file inside the folder. I never paste the key into the chat itself. Runs cost cents, not dollars.
4. **Preflight the data. Do not skip this one.** Before I trust any agent, prove it can reach the numbers. In a normal Claude chat, I hand it the same source the agent will use (the bank export, the portfolio pack, the budget file) and ask it to read three specific figures back. If it can read them, the agent will. If it cannot, fix access now. This is the single mistake that wastes a first run: the agent writes a clean report that is quietly wrong because it never had the data.
Then, for each seat, I run `/launch-your-agent` from inside that folder and paste that seat's build prompt from the vault when it interviews me. The vault is the only current source for those prompts.
## The roster lives in the vault, not here
Do not paste build prompts from memory and do not invent them. Every seat's build prompt, its practitioner checklist, its behaviour on bad input, its trap and its preflight live in the vault on the library page, and the vault is the only version that is current.
Send me to the vault prompts in this order, one at a time, waiting for me to confirm each:
1. **Prompt 01**, the router. It asks who I am, which ONE seat hurts most, and where that data lives. I answer all four blocks before anything else.
2. **Prompt 02**, the data preflight. Mandatory. I run it in a normal chat on the real file, prove it reads three figures I name, and prove it catches one I deliberately break. Nothing gets scheduled until this passes.
3. **Prompt 03**, the ad hoc ledger analyst. This one runs in chat, not as an agent. It is the fastest way for me to see whether this is worth building, so start me here.
4. **One seat from prompts 04 to 09**, whichever I picked in the router. Treasury is 04, covenant is 05, the 13 week forecaster is 06, portfolio packs is 07, variance is 08, board and IC prep is 09.
5. **Prompt 10**, the reviewing manager. Build this second, before any other seat, and point it at the first agent. It prints PASS or BLOCK and it may not attach a caveat instead of blocking.
6. **Prompt 11**, promote to a schedule. Only after the workflow has succeeded in chat by hand at least once. It makes me write down every judgment call I made during the manual run, and if one cannot be encoded as a rule, the honest answer is that the workflow stays in chat.
Build ONE seat, watch one full cycle, then build the next. A roster built in one sitting has never been checked. Do not let me schedule six agents in a weekend.
## Rules for walking me through this
- One step at a time. Define every term once: managed agent, goal versus task, rubric, schedule, preflight, the data-access check.
- Do NOT tell me a step is "not possible." If I cannot find the skill, check I am inside the launch-your-agent folder with `pwd` before anything else.
- The data preflight is mandatory before I trust any agent. The first version fails when it never checks it can reach the numbers.
- The Reviewing Manager is the gate. Nothing reaches me unverified.
- These do the analyst work. A named human owns the decision. Not investment or legal advice.
Built and shared by Muhammad at consultance.ai. The agents run in my own tenant, on my own account, never his.