ai-prompt-engineering SKILL.md skillA
ai-prompt-engineering from vasilyu1983/ai-agents-public is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vasilyu1983/ai-agents-public/ai-prompt-engineering@v1.2Pins v1.2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- vasilyu1983/ai-agents-public
- Path
skills/universal/ai-prompt-engineering/SKILL.md- Versions recorded
- 1
- Latest version
- v1.2, committed Oct 5, 2026
- Size
- 13,609 bytes
- Repository stars
- 101
- License
- MIT
Prompt engineering for production LLMs — structured outputs, evals, RAG, tool workflows, multimodal prompting, and safety. Use when designing, debugging, or shipping prompts.
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
# Prompt Engineering — Operational Skill ## Route Elsewhere - agent architecture and orchestration -> [ai-agents](../ai-agents/SKILL.md) - retrieval quality and chunking -> [ai-rag](../ai-rag/SKILL.md) - model selection and prompt vs RAG vs fine-tune architecture -> [ai-architecture-advisor](../ai-architecture-advisor/SKILL.md) - fine-tuning or distilling a model -> [ai-llm](../ai-llm/SKILL.md) - inference latency and cost optimization -> [ai-llm-inference](../ai-llm-inference/SKILL.md) - deployment, monitoring, and platform controls -> [ai-mlops](../ai-mlops/SKILL.md) --- ## Quick Start 1. Classify the prompt job: structured output, extraction, RAG, tool use, rewrite, classification, or release workflow. 2. Start from a template or provider-native prompt feature rather than writing from scratch. 3. Add explicit output and refusal rules. 4. Add validation: schema checks, citation checks, post-tool checks, and failure handling. 5. Add evals before calling the prompt production-ready. ## Quick Reference - Schema design and repair path → [core patterns](references/core-patterns.md#schema-design-for-llm-output). …
Read the whole file at its exact version.
How to install
mdr add vasilyu1983/ai-agents-public/ai-prompt-engineering@sha256:44c8650defb63f37The line at the top of this page pins the label v1.2, 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_aaqvmo6n4fkenkev)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 5, 2026.
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 (13609 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
vasilyu1983/ai-agents-public · 101 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_aaqvmo6n4fkenkev GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/ai-prompt-engineering GET https://markdownregistry.com/api/v1/blob/44c8650defb63f375e6de6dc9f3c7a877596c96fc554fad4d69c86b3db6c1976
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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