doit / doit-cli
AGENTS.md1 starsChanged 10 months agoApache-2.0View on GitHub
We split this AGENTS.md into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 36
Type Hints: All code must be fully typed.
≈ “Common” is an estimate: at least 1 in 5 of the 36,368 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AGENTS.md
This file provides guidance to AI agents (Claude, Gemini, etc.) when working with code in this repository.
Commands
- Install Dependencies:
uv sync(add--extra devfor development tools) - Run App:
uv run doit(entry point:src/doit/app.py) - Run Tests:
uv run pytest- Single file:
uv run pytest tests/unit/test_task_service.py - With coverage:
uv run pytest --cov=src/doit
- Single file:
- Lint:
uv run ruff check . - Format:
uv run ruff format . - Type Check:
uv run mypy src/doit - All Checks:
uv run ruff check . && uv run mypy src/doit && uv run pytest
Architecture
- Type: Interactive CLI (REPL) task manager.
- Tech Stack: Python 3.13+,
uv(manager),rich(UI),prompt-toolkit(interactive input), SQLite. - Core Components:
src/doit/app.py: Main entry point and REPL loop. Handles UI rendering and user input.src/doit/models/: Data structures (e.g.,Taskclass) and validation.src/doit/services/: Business logic layer (TaskService) handling task operations.src/doit/storage/: Persistence layer. Supportsmemoryandsqlite(persisted to~/.doit/tasks.db).
- Design Pattern: Layered architecture (UI → Service → Storage).
- Style: Type-annotated Python code. Uses
rufffor strict linting/formatting andmypyfor static analysis.
Key Files
src/doit/app.py: Main entry point. Contains theDoItAppclass and UI rendering logic.src/doit/models/task.py:Taskdataclass definition and validation.src/doit/storage/sqlite.py: Database interaction logic.pyproject.toml: Configuration for build, dependencies, and tools.
Coding Conventions
- Type Hints: All code must be fully typed. Use
mypystrict mode. - Documentation: Google-style docstrings for all modules, classes, and functions.
- Formatting: Adhere to
ruffdefaults (similar to Black). Line length 100.
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 28,693 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository26 other files it gives its agents.
- AGENTS.mdAGENTS.md
- backend/AGENTS.mdAGENTS.md
- .claude/skills/vercel-react-best-practices/AGENTS.mdAGENTS.md
- frontend/AGENTS.mdAGENTS.md
- backend/CLAUDE.mdCLAUDE.md
- CLAUDE.mdCLAUDE.md
- doit-cli/CLAUDE.mdCLAUDE.md
- frontend/CLAUDE.mdCLAUDE.md
- better-auth-best-practicesSkill
- containerize-appsSkill
- create-auth-skillSkill
- fastapi-backendSkill
- frontend-designSkill
- helm-chartsSkill
- kagentSkill
- kubectl-aiSkill
- kubernetes-deployment-validatorSkill
- kubernetes-essentialsSkill
- mcp-builderSkill
- minikubeSkill
- nextjs-16Skill
- shadcn-uiSkill
- skill-creatorSkill
- vercel-react-best-practicesSkill
- web-design-guidelinesSkill
- websocket-engineerSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

