prompt-engineering SKILL.md skillA
prompt-engineering from muvon/octomind-tap is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add muvon/octomind-tap/prompt-engineering@git:20261108.a3ce67aPins git:20261108.a3ce67a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- muvon/octomind-tap
- Path
skills/prompt-engineering/SKILL.md- Versions recorded
- 7
- Latest version
- git:20261108.a3ce67a, committed Nov 8, 2026
- First version recorded
- May 9, 2026
- Size
- 19,481 bytes
- Repository stars
- 6
- License
- Apache-2.0
Write, rewrite, optimize and debug LLM prompts and system prompts: few-shot, chain-of-thought, structure. Use when the user asks to design or fix a prompt.
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
## Overview This skill helps the user generate, improve, analyze, and debug LLM prompts using state-of-the-art 2026 techniques. Use it when the user wants help writing a prompt, fixing one that misbehaves, picking a technique for their goal, or designing an agent's system prompt. The skill encodes Anthropic's published priority order, the major reasoning and agentic patterns, the most-used frameworks, token-efficiency rules, and the documented failure modes with fixes. Default framing: the prompt is a contract. Specify what the model should know, do, output, and avoid — in that order — using structure the model can parse unambiguously. ## Mental model Three layers compose every effective prompt: 1. Spec — what the goal is, what success looks like, what counts as failure. Vague specs are the single largest source of bad output (the documented "underspecification" failure mode). 2. Context — who the model is, what facts it has, what examples bound the task. Long data goes first; the query goes last (Anthropic: up to 30% better on complex multi-document inputs). …
Read the whole file at its exact version.
How to install
mdr add muvon/octomind-tap/prompt-engineering@sha256:9be4fc91b2820cc9The line at the top of this page pins the label git:20261108.a3ce67a, 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.
[](https://markdownregistry.com/a/art_xcx3ehiofgxdtqee)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between May 9, 2026 and Nov 8, 2026, about one every 30 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261108.a3ce67a latest | 2026-11-08 | a3ce67a | 19,481 B | A | view · diff |
| git:20261013.a69e0bb | 2026-10-13 | a69e0bb | 19,534 B | A | view · diff |
| git:20260918.40e721d | 2026-09-18 | 40e721d | 19,598 B | A | view · diff |
| git:20260515.152851d | 2026-05-15 | 152851d | 19,601 B | A | view · diff |
| git:20260515.16195e9 | 2026-05-15 | 16195e9 | 19,599 B | A | view · diff |
| git:20260510.b18f89e | 2026-05-10 | b18f89e | 17,981 B | A | view · diff |
| git:20260509.966244f | 2026-05-09 | 966244f | 18,598 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (19481 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
muvon/octomind-tap · 6 stars · license Apache-2.0 · pushed 2026-11-08 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_xcx3ehiofgxdtqee GET https://markdownregistry.com/api/v1/resolve?ref=muvon/octomind-tap/prompt-engineering GET https://markdownregistry.com/api/v1/blob/9be4fc91b2820cc9871f25b209a8d978f85d935fba165e0b85c451fc32822d40
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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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