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adejaimejr/ai-project-structure
Multi-agent Markdown structure (AGENTS.md + docs/) and an installable skill for Claude Code, Codex CLI and…
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- 2 ★ · adejaimejr/ai-project-structure · read from the GitHub search API · (checked 2026-11-13 20:00:50)
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- read directly from its GitHub page · type: open-source project
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- first seen 2026-10-21 · last seen 2026-11-14 · seen 28× · listed by 1 sources
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- score 103 · 2 ★ · 1 sources · repo
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We filed it under these tags: Agent 技能. The tags come from the entry itself, not a taxonomy we imposed.
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adejaimejr/ai-project-structure;first catalogued 2026-10-21;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.Leia em portugues
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
# AI Project Structure
A multi-agent Markdown structure for projects touched by several AIs, plus an installable skill that creates it in any project.
## Why
The structure answers one question: what does the next model need to know so it does not repeat the previous one's work?
One source of rules (AGENTS.md) works for Claude Code, Codex CLI and Gemini CLI. No three-way drift.
Project memory lives in plain Markdown in docs/, split by function: what happened, what was learned, what was decided, what is open.
When context is missing, the agent asks. It never fills the gap with a plausible guess.
## Supported tools
The skill follows the Agent Skills Open Standard: one SKILL.md, installed in three places.
| Tool | Global install path | Per-project path | Entry file |
| Claude Code | ~/.claude/skills/ | /.claude/skills/ | CLAUDE.md (imports AGENTS.md) |
| Codex CLI | ~/.agents/skills/ | /.agents/skills/ | AGENTS.md directly |
| Gemini CLI | ~/.gemini/skills/ | /.gemini/skills/ | GEMINI.md (imports AGENTS.md) |
## Quick start
You need bash and Python 3 (standard library only).
bash
git clone https://github.com/adejaimejr/ai-project-structure.git
cd ai-project-structure/docs/skills/ai-project-structure
./install.sh
Then, in any project, ask your agent in Portuguese (the skill is written in pt-BR):
> Cria a estrutura multiagente aqui
The skill runs a short interview with numbered options (answering "1 2 3" is enough) and creates the files. It never runs git init and never overwrites anything without asking.
Validate a project:
bash
python3 ~/.claude/skills/ai-project-structure/scripts/validatestructure.py
Add --strict to make warnings fail, or --progress for a read-only view of tasks and specs.
## How it works
AGENTS.md holds the rules. CLAUDE.md and GEMINI.md are immutable bridges that point to it. Memory is split by function:
| File in docs/ | Function |
| PROJECTCONTEXT.md | What the project is |
| SESSION.md | What happened, in order, for continuity between sessions |
| MEMORY.md | What the project learned |
| DECISIONS.md | What was formally decided |
| TASKS.md | What is open: IDs T-NNN, the single source of status |
| CONSENSUS.md | Debate between models, with status and a tie-break rule |
| STACK.md | What the project is built with and where to read about it |
| specs/ | What will be built (optional module, one light spec per feature) |
Operating rules: update only the file whose function was triggered, two reading depths (trivial or relevant change), rotation into docs/archive/, and evidence required to close a task.
## Docs
The skill, the generated structure and the project memory in docs/ are in Brazilian Portuguese. This README, the contributing guide and the GitHub layer are in English.
For users:
| Document | What it covers |
A multi-agent Markdown structure for projects touched by several AIs, plus an installable skill that creates it in any project.
## Why
The structure answers one question: what does the next model need to know so it does not repeat the previous one's work?
One source of rules (AGENTS.md) works for Claude Code, Codex CLI and Gemini CLI. No three-way drift.
Project memory lives in plain Markdown in docs/, split by function: what happened, what was learned, what was decided, what is open.
When context is missing, the agent asks. It never fills the gap with a plausible guess.
## Supported tools
The skill follows the Agent Skills Open Standard: one SKILL.md, installed in three places.
| Tool | Global install path | Per-project path | Entry file |
| Claude Code | ~/.claude/skills/ | /.claude/skills/ | CLAUDE.md (imports AGENTS.md) |
| Codex CLI | ~/.agents/skills/ | /.agents/skills/ | AGENTS.md directly |
| Gemini CLI | ~/.gemini/skills/ | /.gemini/skills/ | GEMINI.md (imports AGENTS.md) |
## Quick start
You need bash and Python 3 (standard library only).
bash
git clone https://github.com/adejaimejr/ai-project-structure.git
cd ai-project-structure/docs/skills/ai-project-structure
./install.sh
Then, in any project, ask your agent in Portuguese (the skill is written in pt-BR):
> Cria a estrutura multiagente aqui
The skill runs a short interview with numbered options (answering "1 2 3" is enough) and creates the files. It never runs git init and never overwrites anything without asking.
Validate a project:
bash
python3 ~/.claude/skills/ai-project-structure/scripts/validatestructure.py
Add --strict to make warnings fail, or --progress for a read-only view of tasks and specs.
## How it works
AGENTS.md holds the rules. CLAUDE.md and GEMINI.md are immutable bridges that point to it. Memory is split by function:
| File in docs/ | Function |
| PROJECTCONTEXT.md | What the project is |
| SESSION.md | What happened, in order, for continuity between sessions |
| MEMORY.md | What the project learned |
| DECISIONS.md | What was formally decided |
| TASKS.md | What is open: IDs T-NNN, the single source of status |
| CONSENSUS.md | Debate between models, with status and a tie-break rule |
| STACK.md | What the project is built with and where to read about it |
| specs/ | What will be built (optional module, one light spec per feature) |
Operating rules: update only the file whose function was triggered, two reading depths (trivial or relevant change), rotation into docs/archive/, and evidence required to close a task.
## Docs
The skill, the generated structure and the project memory in docs/ are in Brazilian Portuguese. This README, the contributing guide and the GitHub layer are in English.
For users:
| Document | What it covers |
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