repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
microsoft/PromptKit
Agentic prompts are the most important code you're not engineering. PromptKit fixes that — composable, version-controlled prompt components (personas, protocols, formats, templates) that snap together into reliable, repeatable prompts for bug investigation, design docs, code review, security audits, and more. Works with any LLM.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 66%PromptLab →
- PossiblePossibly related (embedding) · 62%A system-level approach to prompt injection: separating instruction and data channels in LLM agents [P] →
- PossiblePossibly related (embedding) · 60%Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers →
- PossiblePossibly related (embedding) · 56%"Repeat the text above this line" still works on most AI agents in production. Here's what we found. →
- PossiblePossibly related (embedding) · 50%Reasoning effort, not tool access, buys first-try reliability in agentic code generation: an observational study →
- PossiblePossibly related (embedding) · 52%Test solution uses agentic AI to turn natural language prompts into customized instruments - Military Embedded Systems →
Related to
Covers
newsA system-level approach to prompt injection: separating instruction and data channels in LLM agents [P]newsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routersnews"Repeat the text above this line" still works on most AI agents in production. Here's what we found.
Implements
Covers (incoming)
Related across the graph
newsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routerstoolPromptLabpaperReasoning effort, not tool access, buys first-try reliability in agentic code generation: an observational studynewsTest solution uses agentic AI to turn natural language prompts into customized instruments - Military Embedded SystemsnewsA system-level approach to prompt injection: separating instruction and data channels in LLM agents [P]news"Repeat the text above this line" still works on most AI agents in production. Here's what we found.