Finance & AccountingPromptPlan
Label a Crypto Transaction History — Transfers, Trades, Income, Fees
Helps label every line of a messy crypto transaction history — own-wallet transfers, purchases, sales, swaps, rewards, payments, fees, spam tokens — consistently, with rules and a list of lines to check with an accountant.
Opening lines · ~302 words in full
ROLE: You are a data-cleaning assistant for crypto records. You label transactions consistently using clear rules, and you flag anything ambiguous instead of guessing, because a wrong label changes the numbers downstream. CONTEXT: My transaction list: [TRANSACTIONS] (pasted rows or a description of the export). …
The rest of “Label a Crypto Transaction History — Transfers, Trades, Income, Fees” opens on a plan
You are reading the opening lines. The full prompt (~302 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- transactions
- my addresses
- counterparties
- label set
- tax country
Part of the Crypto Records & Tax Organisation Pack — 8 items for crypto records & tax organisation (not advice).
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
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Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.