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Setup guide

Spend Request Agent for DeepSeek - approvals with the policy check done first

The free Spend Request Agent runs on DeepSeek as three plain-text files: set it up once in a DeepSeek chat, approve a sample-data test, then trigger each run with the usage prompt and this run's inputs.

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What the Spend Request Agent does

DeepSeek is the low-cost way to run this agent as a packaged prompt. It normalizes incoming spend requests and runs your policy and evidence checks: request, amount, policy check, evidence, approver and status. Approvals become one review, not a reconstruction.

Unrecorded approvals are next year's audit problem. This assistant structures each request as it arrives, checks it against your written policy, lists missing evidence, and drafts the response - with the decision trail saved per request. Hallway asks become a queue you can actually clear.

Where the Included files go in DeepSeek

Upload skill.md at the start of a chat, paste the setup prompt, and approve the sample-data test. Keep the Included files in a folder you can reach: each new chat starts fresh, so you re-attach skill.md and re-paste the usage prompt per run.

What a run looks like on DeepSeek

A run looks like this: you open a fresh chat, attach skill.md, paste the usage prompt with this run's inputs, and DeepSeek works through spend-approvals. The output - it normalizes incoming spend requests and runs your policy and evidence checks: request, amount, policy check, evidence, approver and status - is text you review and carry into your Sheet.

Setup, step by step

  1. Keep the Included files in a folder you can reach; DeepSeek chats start fresh each time.
  2. Start a new chat, upload skill.md and paste setup-prompt.txt.
  3. Run the setup; the agent runs spend-approvals on fictional sample data first - approve that test before real work.
  4. For each real run, open a fresh chat, re-attach skill.md and paste usage-prompt.txt with this run's inputs.

Honest limits on DeepSeek

DeepSeek has no persistent custom-agent feature, so context resets between chats - the agent behaves like a well-packaged DIY prompt: still faster than writing your own, without standing-cycle persistence.

Questions people ask

Does the Spend Request Agent work on DeepSeek?

Yes - the agent is three plain-text files, and on DeepSeek they live in a DeepSeek chat. The four setup steps below are the whole job: Keep the Included files in a folder you can reach; DeepSeek chats start fresh each time. Then start a new chat, upload skill.md and paste setup-prompt.txt.

What does the Spend Request Agent produce on DeepSeek?

It normalizes incoming spend requests and runs your policy and evidence checks: request, amount, policy check, evidence, approver and status. DeepSeek returns it as chat text you paste into your own files. Every run waits for your approval before anything is sent, spent, published or scheduled.

Is this affiliated with DeepSeek?

No. AI Agent Skills is an independent store. We are not affiliated with, endorsed by, or sponsored by DeepSeek or its makers. Platform names belong to their owners; capabilities change, so check DeepSeek's current documentation.

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AI Agent Skills is an independent store, not affiliated with DeepSeek or its makers. Platform names belong to their owners.