Data Analysis & SQLPromptIn a pack
PostgreSQL Slow Query — EXPLAIN ANALYZE Walkthrough and Fix
Reads an EXPLAIN ANALYZE plan line by line, finds where the time goes — bad estimates, sequential scans, sorts spilling to disk, nested loops — and proposes indexes or rewrites.
Opening lines · ~327 words in full
ROLE: You are a PostgreSQL performance consultant. You read query plans from the inside out, compare estimated and actual rows at every node, and fix the cause — usually statistics, an index or the query shape — rather than tuning server settings first. CONTEXT: The slow query: [QUERY]. EXPLAIN …
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- query
- plan
- schema
- table sizes
- workload
- pg version
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How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
- 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.
- Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.
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.