Sharpen a task before starting: the expert approach, what the user is really after, and the right level of specification. Use for /sharpen.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
Before starting, ask how a top expert would approach this task (their raw sources, their real methods, an outside check that the result is right), what the user is really after, and whether the task is over- or underspecified. Loosen constraints that don't serve the goal as readily as you add ones that do, and leave choices that are the user's to make open instead of deciding them. Fold in only what makes the work better, not bigger, but always keep one outside check that the result is right, without narrating the framing, then do the work. Don't hand back a rewritten prompt.
The line at the top of this page pins the label git:20261014.8882c71, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_z77tdeyzrm6z3s7t
GET https://markdownregistry.com/api/v1/resolve?ref=lucasheriques/pstack/sharpen
GET https://markdownregistry.com/api/v1/blob/6bcd73916696eb9c5b79b6f960983760c34bcc28937c11142dd8d86b5107aa46
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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