🚀 Tasleemat (تسليمات) — Enterprise Bilingual PMO Toolkit & AI Automation Library

Tasleemat (تسليمات) is a production-grade, open-source Project Management Office (PMO) operating system and Python library designed for Project Managers, PMO Directors, Business Leaders, Data Engineers, and AI Engineers.

It provides 114 standardized, bilingual (English & Arabic) project management deliverables (228 synchronized form bundles total) covering the complete project lifecycle—from strategic portfolio roadmaps and business cases to scope baselines, risk registers, stage-gate reviews, Earned Value Analysis (EVA), and project closeouts.

🌟 Core Highlights

• 📚 114 Full-Lifecycle Artifacts (228 Form Bundles): Complete 1-to-1 English and Arabic coverage across 8 lifecycle phases and 12 planning domains.
• ⚡ PMI PMBOK® Guide Aligned (6th, 7th & 8th Edition Ready): Fully compliant with PMI standards, ISO 21500/21502 governance, Agile/Lean practice guides, ESG sustainability tracking, and NIST AI RMF.
• 🤖 Built-in AI Generation Engine (tasleemat.ai): Instantly auto-fill publication-ready project documents using Google Gemini, OpenAI GPT-4, Anthropic Claude, or local Ollama LLMs.
• 📂 5-File Synchronized Artifact Bundles: Every deliverable includes a printable Markdown template, practitioner writing guide, LLM prompt instruction, machine-readable JSON schema, and tabular CSV dictionary.
• 🚀 Global CLI Project Scaffolder (tasleemat): Interactively or programmatically scaffold complete project workspaces tailored to your project size (Enterprise, Standard, Lean, Agile/AI).
• 🇸🇦 100% Arabic (RTL) Parity: Native Arabic translations mapped directly to official PMI Lexicon terms.

💻 CLI Installation & Complete Usage Reference

Install the official package globally via pip:

pip install tasleemat

1. Help & Parameter Reference (--help / -h / help)

View detailed documentation for all CLI commands, arguments, choices, and practical examples:

# Complete CLI manual for all commands & arguments
tasleemat --help
tasleemat -h
tasleemat help

# Specific subcommand help
tasleemat help init
tasleemat generate --help

2. Project Workspace Scaffolding (tasleemat init)

Scaffold a complete project workspace with pre-populated bilingual templates matching your project tier:

# Interactive scaffolding wizard
tasleemat init

# Fast-track command with flags (Tier 2, Agile Pack, Arabic templates)
tasleemat init --tier 2 --pack agile --lang ar --name "منصة التحول الرقمي" --code "PRJ-2026-01" --out ./My_Project

Supported Scaffolding Tiers:

• Tier 1 (Enterprise): 52+ full governance baselines for complex corporate programs.
• Tier 2 (Standard Core): 14+ essential baselines for medium-sized projects.
• Tier 3 (Lean / Fast-Track): 6 core deliverables for quick execution.

Supported Methodology Packs:

• general: Standard PMBOK alignment.
• agile: Scrum, Kanban, Sprint Planning & Retrospectives.
• ai: AI Governance, Ethics, Model Cards & Readiness Assessments.
• predictive: Waterfall & Earned Value Management (EVM).
• hybrid: Blended Agile/Predictive controls.

3. Catalog Search & Listing (tasleemat search / tasleemat list)

Browse and search forms by keyword or PMO form code:

# Search deliverable forms by keyword
tasleemat search "Risk" --lang en
tasleemat search "ميثاق" --lang ar

# List all 114 forms in catalog
tasleemat list --lang en

4. LLM AI Configuration (tasleemat config)

Configure your default LLM AI provider and API credentials (stored securely at ~/.tasleemat/config.json):

# Configure Google Gemini
tasleemat config set --provider gemini --model gemini-2.5-flash --key "YOUR_GEMINI_API_KEY"

# Or configure OpenAI
tasleemat config set --provider openai --model gpt-4o --key "YOUR_OPENAI_KEY"

# View current configuration
tasleemat config show

5. Automated AI Document Generation (tasleemat generate)

Auto-fill publication-ready project deliverables directly from meeting notes:

# Auto-fill Project Charter (PMO-03.01) from meeting notes
tasleemat generate --form PMO-03.01 --notes ./meeting_notes.txt --out ./03_01_Project_Charter.md

# Test offline with mock engine (no API tokens consumed)
tasleemat generate --form PMO-03.01 --notes "Enterprise Cloud Migration" --mock

6. Automated Test Suite (tasleemat test)

Execute the built-in repository verification suite:

tasleemat test -v

🤖 Programmatic Python SDK (tasleemat.ai)

You can also import tasleemat.ai directly into custom Python pipelines, internal dashboards, or automated AI workflows:

from tasleemat.ai import AIClient

# Initialize client (resolves API credentials automatically)
client = AIClient(provider="gemini", model="gemini-2.5-flash")

# Auto-fill a PMO deliverable
charter_markdown = client.generate(
    prompt="Generate Project Charter for $2M E-Commerce Platform Modernization",
    system_instruction="You are an enterprise PMO Director. Adhere strictly to PMI PMBOK standards."
)

print(charter_markdown)

Data Engineering & Metadata Ingestion

Ingest the master bilingual lexicon or individual form schemas into pandas or PowerBI:

import json
import pkg_resources

# Access bundled LEXICON registry
lexicon_path = pkg_resources.resource_filename("tasleemat", "docs/LEXICON.json")
with open(lexicon_path, "r", encoding="utf-8") as f:
    lexicon_data = json.load(f)

print(f"Loaded {len(lexicon_data)} registered deliverable forms.")

📦 5-File Synchronized Artifact Architecture

Inside every form folder (e.g., forms/en/03_Initiating/01_Project_Charter/), Tasleemat provides 5 synchronized files:

🗺️ Project Lifecycle Overview (114 Forms)

📜 Standards & Compliance Alignment

• PMI PMBOK® Guide (6th, 7th & 8th Edition Ready)
• ISO 21500:2021 & ISO 21502:2020 (Project & Portfolio Governance)
• Agile & Lean Practice Guides (Scrum, Kanban, Value Streams)
• NIST AI Risk Management Framework & EU AI Act (AI Artifacts)
• UN Sustainable Development Goals & ESG Frameworks

🔗 Useful Links & Citation

• 🐙 GitHub Repository: github.com/fakhruldeen/Tasleemat
• 📚 Documentation Index: docs/README.md
• 📚 Citation (Zenodo DOI): 10.5281/zenodo.23193523

Mohamed (Fouad) Fakhruldeen. (2026). fakhruldeen/Tasleemat: v2.3.0 [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.23193523