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Prompt

agentic-stack — Windsurf Rules

by codejunkie99

AI Summary

This project uses a portable brain in . It is authoritative for memory, skills, and protocols. For deploy / ship / release / migration / schema / timestamp / timezone /

Install

Copy this and paste it into Claude Code, Cursor, or any AI assistant:

I want to add the "agentic-stack — Windsurf Rules" prompt rules to my project.
Repository: https://github.com/codejunkie99/agentic-stack

Please read the repo to find the rules/prompt file, then:
1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type)
2. If there's an existing rules file, merge the new rules in rather than overwriting
3. Confirm what was added

Description

One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python — and keeps its knowledge when you switch.

Windsurf rules — agentic-stack portable brain

This project uses a portable brain in .agent/. It is authoritative for memory, skills, and protocols.

Startup sequence (every session)

• Read .agent/AGENTS.md • Read .agent/memory/personal/PREFERENCES.md • Read .agent/memory/semantic/LESSONS.md • Read .agent/protocols/permissions.md

Recall before non-trivial tasks

For deploy / ship / release / migration / schema / timestamp / timezone / date / failing test / debug / investigate / refactor, run recall FIRST: `bash python3 .agent/tools/recall.py "<short description>" ` Show surfaced lessons in a Consulted lessons before acting: block and follow them. This is how graduated lessons cross harnesses.

During work

• Consult .agent/skills/_index.md. Load a full SKILL.md only when its triggers match the current task (progressive disclosure). • Update .agent/memory/working/WORKSPACE.md as the task evolves. • After significant actions, call python3 .agent/tools/memory_reflect.py <skill> <action> <outcome>. • Quick state: python3 .agent/tools/show.py. • Teach a rule in one shot: python3 .agent/tools/learn.py "<rule>" --rationale "<why>".

Discussion

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Works With

Any AI assistant that accepts custom rules or system prompts

Claude
ChatGPT
Cursor
Windsurf
Copilot
+ more