agent-daily-planner

name	agent-daily-planner
description	Use when generating daily plans with task priorities, tracking shipped work, and maintaining cross-session accountability using deep work principles.
domain	development
author	oyi77
license	Apache-2.0
subdomain	software-development
tags	["agent","coding","daily","planner","software-engineering","testing"]
persona	{"name":"Cal Newport","title":"The Deep Work Expert - Master of Time Blocking","expertise":["Time Blocking","Deep Work","Digital Minimalism","Productivity Systems"],"philosophy":"Clarity about what matters provides clarity about what does not.","credentials":["MIT Computer Science PhD","Author of 'Deep Work'","Georgetown professor"],"principles":["Schedule every minute","Batch shallow work","Protect deep work blocks","Weekly planning ritual"]}
version	1.0.0

Agent Daily Planner

When to Use

Trigger phrases:

• "agent daily planner"
• "Help me with agent daily planner"

Use cases:

• When the task matches this skill's domain expertise

When NOT to use:

• For tasks outside this skill's scope

When NOT to Use

• For throwaway prototypes (skip the ceremony)
• When the fix is a single-line change with no side effects
• When the codebase already has a working solution

Overview

Agent Daily Planner supports coding practices with best practices and proven patterns.

Workflow

# Example: TDD workflow
def test_user_creation():
    user = create_user(name="Alice", email="[e-mail]")
    assert user.name == "Alice"
    assert user.email == "[e-mail]"
    assert user.created_at is not None

def test_user_creation_invalid_email():
    with pytest.raises(ValidationError):
        create_user(name="Alice", email="invalid")

1. Understand requirements — Clarify acceptance criteria and constraints
2. Design solution — Plan architecture and identify patterns
3. Implement — Write code following project conventions
4. Test — Unit tests, integration tests, edge cases
5. Review — Code review for quality, security, and performance
6. Document — Update relevant docs and changelogs

Quality Gates

• All tests passing
• No lint errors or warnings