SUMD - Structured Unified Markdown Descriptor for AI-aware project documentation
Project description
SUMD
AI Cost Tracking
This project uses AI-generated code. Total cost: $0.6000 with 4 AI commits.
Generated on 2026-04-18 using openrouter/qwen/qwen3-coder-next
SUMD is a semantic project descriptor format in Markdown that defines intent, structure, execution entry points, and mental model of a system for both humans and LLMs.
What is SUMD?
SUMD (Structured Unified Markdown Descriptor) is a lightweight structured markdown format for AI-aware project descriptions. It serves as a single source of truth for project documentation, optimized for both human readability and LLM context injection.
Purpose
- Project descriptor: Defines API, CLI, workflows, endpoints, and system architecture
- AI-optimized: Structured for LLM consumption and automation tools
- Lightweight manifest: Bridges the gap between README, spec, and configuration files
- Context injection: Provides structured context for AI agents and tools
Use Cases
- Project documentation and specification
- Input for LLM context injection
- CI/CD workflow descriptions
- API and CLI mapping
- Structural project manifest
Installation
pip install sumd
Usage
CLI Commands
# Validate a SUMD document
sumd validate SUMD.md
# Display information about a SUMD document
sumd info SUMD.md
# Export SUMD to different formats
sumd export SUMD.md --format json --output sumd.json
sumd export SUMD.md --format yaml --output sumd.yaml
sumd export SUMD.md --format toml --output sumd.toml
sumd export SUMD.md --format markdown --output sumd.md
# Generate SUMD from structured format
sumd generate sumd.json --format json --output SUMD.md
sumd generate sumd.yaml --format yaml --output SUMD.md
sumd generate sumd.toml --format toml --output SUMD.md
# Extract specific section
sumd extract SUMD.md --section intent
Python API
from sumd import parse, parse_file, validate
# Parse SUMD from string
document = parse(content)
# Parse SUMD from file
document = parse_file("SUMD.md")
# Validate SUMD document
errors = validate(document)
if errors:
print("Validation errors:", errors)
else:
print("SUMD document is valid")
Ecosystem Architecture
SUMD is part of a three-layer system:
┌─────────────────────────────────────────────────────────────┐
│ SUMD (opis) │
│ Structured Unified Markdown Descriptor │
│ Project description, intent, architecture │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ DOQL (wykonanie) │
│ Declarative Object Query Language │
│ Data manipulation and execution │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ Taskfile (runtime) │
│ Task runner and workflow execution │
│ Automation and orchestration │
└─────────────────────────────────────────────────────────────┘
- SUMD → opis (description): Defines what the system is and how it should work
- DOQL → wykonanie (execution): Provides the language to manipulate and execute operations
- Taskfile → runtime: Manages the actual execution of workflows and tasks
License
Licensed under Apache-2.0.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sumd-0.1.10.tar.gz.
File metadata
- Download URL: sumd-0.1.10.tar.gz
- Upload date:
- Size: 13.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
00c19efca82468bcbc98be4e4c943cd12fec725b0af9d1063bdd6128652741f3
|
|
| MD5 |
d3a7d5b852448ca27055bf295da163ac
|
|
| BLAKE2b-256 |
4b2a1b21cd462cfef9a2849226dbf20d180ba143b638abfd9ca0c29d565dab23
|
File details
Details for the file sumd-0.1.10-py3-none-any.whl.
File metadata
- Download URL: sumd-0.1.10-py3-none-any.whl
- Upload date:
- Size: 13.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
00b377ccdb56e354698b9cb23ff42c4eb0b10adfe0a0fd9e5a5e339f87dc6a8f
|
|
| MD5 |
dcbe132703bfe6d6ce461488c2d0afa7
|
|
| BLAKE2b-256 |
31d700a7825ce1a00855905ed5c62cedb88e067fec470127629e1bd4755ed64b
|