gantt-chart

gantt-chart is a skill for Claude Code, Codex from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. It costs 22 tokens per session (2,791 once invoked), scanned A, original, MIT.

A generator for Gantt charts, which are timelines showing tasks, dates, dependencies, and progress. It is designed for construction schedules.

In plain words
What is it for?
Use it to visualize dependencies, track progress, display work breakdown structures, and review construction phases.
Why use it?
It makes task order, delays, critical work, and progress easier to see than a list of dates.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to visualize dependencies, track progress, display work breakdown structures, and review construction phases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/gantt-chart
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill gantt-chart
Clone the repo
git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gantt-chart

README.md
[![agentmods](https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/gantt-chart/github.svg)](https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/gantt-chart)
Your own site
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/gantt-chart"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/gantt-chart/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gantt-chart

Your own site · 80×15
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/gantt-chart"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/gantt-chart.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,791 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 79
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.02791
Opus 5 $0.00011 $0.01396
Sonnet 5 $0.00004 $0.00558
Haiku 4.5 $0.00002 $0.00279

Measured 9d ago against content hash e8fb10f43366, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gantt-chart scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

2_DDC_Book/3.3-4D-BIM-CO2-Simulation/gantt-chart/SKILL.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gantt Chart Generator

Business Case

Problem Statement

Schedule visualization challenges:

  • Complex task dependencies
  • Progress tracking
  • Critical path visibility
  • Multi-level WBS display

Solution

Generate interactive Gantt charts from schedule data with dependency visualization, progress tracking, and export capabilities.

Technical Implementation

import pandas as pd
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from datetime import date, timedelta
from enum import Enum


class TaskStatus(Enum):
    NOT_STARTED = "not_started"
    IN_PROGRESS = "in_progress"
    COMPLETED = "completed"
    DELAYED = "delayed"
    ON_HOLD = "on_hold"


class DependencyType(Enum):
    FS = "finish_to_start"
    SS = "start_to_start"
    FF = "finish_to_finish"
    SF = "start_to_finish"


@dataclass
class Task:
    task_id: str
    name: str
    start_date: date
    end_date: date
    wbs_code: str = ""
    progress: float = 0  # 0-100
    status: TaskStatus = TaskStatus.NOT_STARTED
    assignee: str = ""
    level: int = 0
    is_milestone: bool = False
    is_summary: bool = False
    parent_id: str = ""


@dataclass
class Dependency:
    predecessor_id: str
    successor_id: str
    dep_type: DependencyType = DependencyType.FS
    lag: int = 0


class GanttChartGenerator:
    """Generate Gantt charts for construction scheduling."""

    def __init__(self, project_name: str):
        self.project_name = project_name
        self.tasks: Dict[str, Task] = {}
        self.dependencies: List[Dependency] = []

    def add_task(self, task: Task):
        """Add task to chart."""
        self.tasks[task.task_id] = task

    def add_dependency(self, predecessor_id: str, successor_id: str,
                       dep_type: DependencyType = DependencyType.FS,
                       lag: int = 0):
        """Add dependency between tasks."""
        self.dependencies.append(Dependency(
            predecessor_id=predecessor_id,
            successor_id=successor_id,
            dep_type=dep_type,
            lag=lag
        ))

    def import_from_df(self, df: pd.DataFrame):
        """Import tasks from DataFrame."""

        for _, row in df.iterrows():
            task = Task(
                task_id=str(row['task_id']),
                name=row['name'],
                start_date=pd.to_datetime(row['start_date']).date(),
                end_date=pd.to_datetime(row['end_date']).date(),
                wbs_code=str(row.get('wbs_code', '')),
                progress=float(row.get('progress', 0)),
                level=int(row.get('level', 0)),
                is_milestone=bool(row.get('is_milestone', False)),
                is_summary=bool(row.get('is_summary', False)),
                parent_id=str(row.get('parent_id', ''))
            )
            self.add_task(task)

    def get_project_range(self) -> tuple:
        """Get project date range."""

        if not self.tasks:
            return (date.today(), date.today())

        min_date = min(t.start_date for t in self.tasks.values())
        max_date = max(t.end_date for t in self.tasks.values())
        return (min_date, max_date)

    def get_duration(self, task_id: str) -> int:
        """Get task duration in days."""

        task = self.tasks.get(task_id)
        if task:
            return (task.end_date - task.start_date).days + 1
        return 0

    def generate_text_gantt(self, width: int = 60) -> str:
        """Generate text-based Gantt chart."""

        if not self.tasks:
            return "No tasks"

        lines = []
        start, end = self.get_project_range()
        total_days = (end - start).days + 1
        scale = width / total_days if total_days > 0 else 1

        # Header
        lines.append(f"Project: {self.project_name}")
        lines.append(f"Period: {start} to {end}")
        lines.append("-" * (40 + width))

        # Tasks
        for task in sorted(self.tasks.values(), key=lambda t: (t.level, t.start_date)):
            indent = "  " * task.level
            name = f"{indent}{task.name}"[:35].ljust(35)

            # Bar position
            bar_start = int((task.start_date - start).days * scale)
            bar_length = max(1, int(self.get_duration(task.task_id) * scale))

            # Progress bar
            progress_length = int(bar_length * task.progress / 100)
            bar = " " * bar_start
            bar += "█" * progress_length
            bar += "░" * (bar_length - progress_length)
            bar = bar[:width].ljust(width)

            status_char = "◆" if task.is_milestone else "│"
            lines.append(f"{name} {status_char}{bar}│ {task.progress:.0f}%")

        return "\n".join(lines)

    def generate_mermaid_gantt(self) -> str:
        """Generate Mermaid Gantt diagram."""

        lines = [
            "gantt",
            f"    title {self.project_name}",
            "    dateFormat YYYY-MM-DD",
            ""
        ]

        # Group by WBS prefix
        sections = {}
        for task in self.tasks.values():
            section = task.wbs_code.split('.')[0] if task.wbs_code else "Tasks"
            if section not in sections:
                sections[section] = []
            sections[section].append(task)

        for section, tasks in sections.items():
            lines.append(f"    section {section}")
            for task in sorted(tasks, key=lambda t: t.start_date):
                duration = self.get_duration(task.task_id)
                status = ""
                if task.status == TaskStatus.COMPLETED:
                    status = "done, "
                elif task.status == TaskStatus.IN_PROGRESS:
                    status = "active, "

                if task.is_milestone:
                    lines.append(f"    {task.name} :milestone, {task.start_date}, 0d")
                else:
                    lines.append(f"    {task.name} :{status}{task.task_id}, {task.start_date}, {duration}d")

        return "\n".join(lines)

    def generate_html_gantt(self) -> str:
        """Generate HTML/CSS Gantt chart."""

        start, end = self.get_project_range()
        total_days = (end - start).days + 1

        html = f"""
<!DOCTYPE html>
<html>
<head>
    <title>Gantt Chart - {self.project_name}</title>
    <style>
        .gantt {{ font-family: Arial, sans-serif; }}
        .task {{ display: flex; margin: 2px 0; height: 25px; align-items: center; }}
        .task-name {{ width: 200px; padding-right: 10px; font-size: 12px; }}
        .task-bar {{ position: relative; height: 20px; background: #e0e0e0; flex: 1; }}
        .bar {{ position: absolute; height: 100%; }}
        .bar-fill {{ background: #4CAF50; }}
        .bar-progress {{ background: #2196F3; }}
        .milestone {{ width: 10px; height: 10px; background: #FF5722; transform: rotate(45deg); margin-left: 10px; }}
    </style>
</head>
<body>
    <div class="gantt">
        <h2>{self.project_name}</h2>
        <p>{start} - {end}</p>
"""

        for task in sorted(self.tasks.values(), key=lambda t: (t.level, t.start_date)):
            left = ((task.start_date - start).days / total_days) * 100
            width = (self.get_duration(task.task_id) / total_days) * 100
            progress_width = width * task.progress / 100

            indent = "&nbsp;" * (task.level * 4)

            if task.is_milestone:
                html += f'<div class="task"><div class="task-name">{indent}{task.name}</div><div class="task-bar"><div class="milestone" style="left:{left}%"></div></div></div>\n'
            else:
                html += f'''<div class="task">
    <div class="task-name">{indent}{task.name}</div>
    <div class="task-bar">
        <div class="bar bar-fill" style="left:{left}%; width:{width}%"></div>
        <div class="bar bar-progress" style="left:{left}%; width:{progress_width}%"></div>
    </div>
</div>\n'''

        html += "</div></body></html>"
        return html

    def get_critical_path(self) -> List[str]:
        """Identify critical path tasks (simplified)."""

        if not self.dependencies:
            return [t.task_id for t in sorted(self.tasks.values(), key=lambda x: x.end_date)[-5:]]

        # Find tasks with no slack (simplified approach)
        critical = []
        _, project_end = self.get_project_range()

        for task in self.tasks.values():
            if task.end_date == project_end:
                critical.append(task.task_id)
                # Trace predecessors
                for dep in self.dependencies:
                    if dep.successor_id == task.task_id:
                        critical.append(dep.predecessor_id)

        return list(set(critical))

    def export_to_excel(self, output_path: str) -> str:
        """Export Gantt data to Excel."""

        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
            # Tasks
            tasks_df = pd.DataFrame([{
                'ID': t.task_id,
                'WBS': t.wbs_code,
                'Name': t.name,
                'Start': t.start_date,
                'End': t.end_date,
                'Duration': self.get_duration(t.task_id),
                'Progress': t.progress,
                'Status': t.status.value,
                'Level': t.level
            } for t in self.tasks.values()])
            tasks_df.to_excel(writer, sheet_name='Tasks', index=False)

            # Dependencies
            deps_df = pd.DataFrame([{
                'Predecessor': d.predecessor_id,
                'Successor': d.successor_id,
                'Type': d.dep_type.value,
                'Lag': d.lag
            } for d in self.dependencies])
            deps_df.to_excel(writer, sheet_name='Dependencies', index=False)

        return output_path

Read the full file on GitHub · 346 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 346 lines · 22 tokens per session scan A e8fb10f43366

Subscribe to this mod's changes

gantt-chart is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (310 stars, last pushed 21d ago), licensed MIT. It adds 22 tokens to every session and 2,791 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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