Agent skill · research science · aradotso
agentic-ai-prompt-research
agentic-ai-prompt-research — an agent skill for coding agents.
Why this skill is useful
Documents 30+ specialized prompt patterns and architectural insights for agentic AI systems that the AI wouldn't reliably generate on its own.
What it needs
About 8k tokens when loaded. Last updated 2026-07-09. 70 stars on the source repository.
What this skill does
prompts/ 01mainsystemprompt.md # Dynamic prompt assembly pipeline 02simplemode.md # Lightweight minimal variant 03defaultagentprompt.md # Base instructions for all sub-agents 04cyberriskinstruction.md # Security boundary classification 05coordinatorsystemprompt.md 06teammatepromptaddendum.md 07verificationagent.md 08exploreagent.md 09agentcreationarchitect.md 10statuslinesetupagent.md 11permissionexplainer.md 12yoloautomodeclassifier.md 13toolprompts.md 14toolusesummary.md 15sessionsearch.md 16memoryselection.md 17automodecritique.md 18proactivemode.md 19simplifyskill.md 20sessiontitle.md 21compactservice.md 22awaysummary.md 23chromebrowserautomation.md 24memoryinstruction.md 25skillify.md 26stuckskill.md 27rememberskill.md 28updateconfigskill.md 29agentsummary.md 30promptsuggestion.md ┌─────────────────────────────────────────┐ │ CACHEABLE PREFIX │ │ (stable across sessions) │ │ - Identity + safety instructions │ │ - Permission + hook configuration │ │ - Code style + error handling rules │ │ - Tool preferences + usage patterns │ │ - Tone, style, output rules │ ├─────────────────────────────────────────┤ │ CACHE BOUNDARY │ ├─────────────────────────────────────────┤ │ DYNAMIC SUFFIX │ │ (changes per session/request) │ │ - Available agents and skills │ │ - Memory file contents │ │ - Environment context (OS, dir, git) │ │ - Language + output preferences │ │ - Active MCP server instructions │ │ - Context window management directives │ └─────────────────────────────────────────┘ python from dataclasses import dataclass, field from typing import Optional @dataclass class PromptSection: content: str cacheable: bool = True priority: int = 0 class AgentPromptBuilder: """ Assembles a dynamic system prompt from modular sections. Mirrors the cacheable-prefix / dynamic-suffix split observed in production agentic tools. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aradotso/agentic-ai-prompt-research