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Create project

Skill aAAaqwq/AGI-Super-Team/skills/create-project

Create new project with breakdownFrom its SKILL.md

Install
npx -y skills add aAAaqwq/AGI-Super-Team --skill create-project

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SKILL.md

3.0 KB, 794 tokens by cl100k_base, as published. Nobody here has run it

PM Create Project

Creating a new project with task breakdown

When to use

  • "new project: X"
  • "create a project for Y"
  • When there is a new initiative/goal

Paths

WhatPath
Projects$PM_PATH/pm_projects_master.csv
Tasks$PM_PATH/pm_tasks_master.csv

Schema: Projects

project_id,project_name,description,goal,status,priority,priority_score,owner,created_date,last_updated,deadline,estimated_hours,actual_hours,actual_tokens,crm_link_type,crm_link_id,tags,notes

How to create a project

import pandas as pd
from datetime import date
import uuid

projects = pd.read_csv('$PM_PATH/pm_projects_master.csv')

new_project = {
    'project_id': f'proj-{uuid.uuid4().hex[:4]}',
    'project_name': 'Project name',
    'description': 'Detailed description',
    'goal': 'What does success look like?',
    'status': 'planning',  # idea/planning/in_progress/on_hold/completed/cancelled
    'priority': 'hot',  # hot/medium/low
    'priority_score': 0.9,
    'owner': 'Ivan',
    'created_date': str(date.today()),
    'last_updated': str(date.today()),
    'deadline': '2025-02-10',  # if applicable
    'estimated_hours': 10,
    'actual_hours': 0,
    'actual_tokens': 0,
    'crm_link_type': '',  # company/person/activity
    'crm_link_id': '',
    'tags': 'tag1;tag2',
    'notes': ''
}

projects = pd.concat([projects, pd.DataFrame([new_project])], ignore_index=True)
projects.to_csv('$PM_PATH/pm_projects_master.csv', index=False)

Add tasks immediately

tasks = pd.read_csv('$PM_PATH/pm_tasks_master.csv')

project_id = 'proj-xxxx'  # ID of the created project

task_list = [
    ('Research', 'Gather information', 2),
    ('Planning', 'Define approach', 1),
    ('Implementation', 'Do the work', 5),
    ('Testing', 'Verify results', 1),
]

for i, (name, desc, hours) in enumerate(task_list):
    new_task = {
        'task_id': f'task-{uuid.uuid4().hex[:4]}',
        'project_id': project_id,
        'parent_task_id': '',
        'task_name': name,
        'description': desc,
        'status': 'todo',
        'priority': 'medium',
        'priority_score': 0.5,
        'assignee': 'Ivan',
        'created_date': str(date.today()),
        'last_updated': str(date.today()),
        'deadline': '',
        'estimated_hours': hours,
        'actual_hours': 0,
        'actual_tokens': 0,
        'blocked_by': '',
        'blocking': '',
        'order_index': i + 1
    }
    tasks = pd.concat([tasks, pd.DataFrame([new_task])], ignore_index=True)

tasks.to_csv('$PM_PATH/pm_tasks_master.csv', index=False)

Project statuses

idea → planning → in_progress → on_hold → completed/cancelled

CRM link

If the project is linked to CRM:

'crm_link_type': 'person',  # or 'company', 'activity'
'crm_link_id': 'https://linkedin.com/in/example',  # or website, activity_id

Related skills

  • query-leads -- if linked to CRM

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.