Best use case
create-project is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Create new project with breakdown
Teams using create-project should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/create-project/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How create-project Compares
| Feature / Agent | create-project | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Create new project with breakdown
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
| What | Path |
|------|------|
| Projects | `$PM_PATH/pm_projects_master.csv` |
| Tasks | `$PM_PATH/pm_tasks_master.csv` |
## Schema: Projects
```csv
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
```python
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
```python
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:
```python
'crm_link_type': 'person', # or 'company', 'activity'
'crm_link_id': 'https://linkedin.com/in/example', # or website, activity_id
```
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- `query-leads` -- if linked to CRMRelated Skills
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