pptx-construction

pptx-construction is a skill for Claude Code, Codex from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. It costs 31 tokens per session (3,881 once invoked), scanned A, original, MIT.

A tool for creating PowerPoint presentations about construction projects. It can build project updates, progress reports, bid presentations, charts, and other stakeholder slides from project data.

In plain words
What is it for?
Use it for monthly progress updates, stakeholder briefings, progress reports, and bid presentations with data visualisations.
Why use it?
It reduces the manual work of turning construction data into presentation slides. It also helps keep recurring project reports consistently structured.

Skill for Claude CodeCodex

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

Good fit Use it for monthly progress updates, stakeholder briefings, progress reports, and bid presentations with data visualisations.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/pptx-construction/github.svg)](https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/pptx-construction)
Your own site
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/pptx-construction"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/pptx-construction/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 pptx-construction

Your own site · 80×15
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/pptx-construction"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/pptx-construction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,881 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 pass 7 Sept 2026
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 $0.00031 $0.03881
Opus 5 $0.00015 $0.01940
Sonnet 5 $0.00006 $0.00776
Haiku 4.5 $0.00003 $0.00388

Measured 9d ago against content hash 3c600637af54, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pptx-construction 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:

4_DDC_Curated/Document-Generation/pptx-construction/SKILL.md · 421 lines

How it starts

The opening of the file, as written. The whole thing — 421 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PowerPoint Generation for Construction

Overview

Create professional PowerPoint presentations for construction projects using python-pptx. Generate stakeholder updates, progress reports, and bid presentations with automated data visualization.

Construction Use Cases

1. Project Progress Presentation

Generate monthly progress update slides.

from pptx import Presentation
from pptx.util import Inches, Pt
from pptx.enum.chart import XL_CHART_TYPE
from pptx.chart.data import CategoryChartData
from pptx.dml.color import RGBColor
from pptx.enum.text import PP_ALIGN

def create_progress_presentation(project_data: dict, output_path: str) -> str:
    """Create project progress presentation."""
    prs = Presentation()
    prs.slide_width = Inches(13.333)
    prs.slide_height = Inches(7.5)

    # Title slide
    title_slide = prs.slides.add_slide(prs.slide_layouts[0])
    title_slide.shapes.title.text = project_data['project_name']
    title_slide.placeholders[1].text = f"Progress Report - {project_data['report_date']}"

    # Executive Summary slide
    summary_slide = prs.slides.add_slide(prs.slide_layouts[1])
    summary_slide.shapes.title.text = "Executive Summary"

    summary_text = summary_slide.placeholders[1]
    tf = summary_text.text_frame
    tf.paragraphs[0].text = f"Overall Progress: {project_data['overall_progress']}%"

    p = tf.add_paragraph()
    p.text = f"Schedule Status: {project_data['schedule_status']}"
    p = tf.add_paragraph()
    p.text = f"Budget Status: {project_data['budget_status']}"
    p = tf.add_paragraph()
    p.text = f"Safety: {project_data['safety_status']}"

    # Schedule Progress Chart
    add_schedule_chart(prs, project_data['schedule_data'])

    # Budget Chart
    add_budget_chart(prs, project_data['budget_data'])

    # Key Milestones
    add_milestones_slide(prs, project_data['milestones'])

    # Issues & Risks
    add_issues_slide(prs, project_data.get('issues', []))

    # Photos
    if project_data.get('photos'):
        add_photos_slide(prs, project_data['photos'])

    prs.save(output_path)
    return output_path


def add_schedule_chart(prs: Presentation, schedule_data: dict):
    """Add schedule progress chart."""
    slide = prs.slides.add_slide(prs.slide_layouts[5])
    slide.shapes.title.text = "Schedule Progress"

    chart_data = CategoryChartData()
    chart_data.categories = schedule_data['phases']
    chart_data.add_series('Planned', schedule_data['planned'])
    chart_data.add_series('Actual', schedule_data['actual'])

    chart = slide.shapes.add_chart(
        XL_CHART_TYPE.COLUMN_CLUSTERED,
        Inches(1), Inches(1.5),
        Inches(11), Inches(5),
        chart_data
    ).chart

    chart.has_legend = True
    chart.legend.include_in_layout = False


def add_budget_chart(prs: Presentation, budget_data: dict):
    """Add budget status chart."""
    slide = prs.slides.add_slide(prs.slide_layouts[5])
    slide.shapes.title.text = "Budget Status"

    chart_data = CategoryChartData()
    chart_data.categories = ['Budget', 'Committed', 'Spent', 'Forecast']
    chart_data.add_series('Amount ($M)', [
        budget_data['budget'] / 1_000_000,
        budget_data['committed'] / 1_000_000,
        budget_data['spent'] / 1_000_000,
        budget_data['forecast'] / 1_000_000
    ])

    chart = slide.shapes.add_chart(
        XL_CHART_TYPE.BAR_CLUSTERED,
        Inches(1), Inches(1.5),
        Inches(11), Inches(5),
        chart_data
    ).chart


def add_milestones_slide(prs: Presentation, milestones: list):
    """Add key milestones slide."""
    slide = prs.slides.add_slide(prs.slide_layouts[5])
    slide.shapes.title.text = "Key Milestones"

    # Create table
    rows = len(milestones) + 1
    cols = 4
    table = slide.shapes.add_table(rows, cols, Inches(0.5), Inches(1.5), Inches(12), Inches(0.5 * rows)).table

    # Headers
    headers = ['Milestone', 'Planned', 'Actual/Forecast', 'Status']
    for i, header in enumerate(headers):
        table.cell(0, i).text = header

    # Data
    for i, ms in enumerate(milestones, 1):
        table.cell(i, 0).text = ms['name']
        table.cell(i, 1).text = ms['planned_date']
        table.cell(i, 2).text = ms.get('actual_date', ms.get('forecast_date', 'TBD'))
        table.cell(i, 3).text = ms['status']


def add_issues_slide(prs: Presentation, issues: list):
    """Add issues and risks slide."""
    slide = prs.slides.add_slide(prs.slide_layouts[1])
    slide.shapes.title.text = "Issues & Risks"

    if not issues:
        slide.placeholders[1].text = "No critical issues at this time."
        return

    tf = slide.placeholders[1].text_frame
    for i, issue in enumerate(issues):
        if i == 0:
            tf.paragraphs[0].text = f"• {issue['description']} ({issue['status']})"
        else:
            p = tf.add_paragraph()
            p.text = f"• {issue['description']} ({issue['status']})"


def add_photos_slide(prs: Presentation, photos: list):
    """Add site photos slide."""
    slide = prs.slides.add_slide(prs.slide_layouts[5])
    slide.shapes.title.text = "Site Progress Photos"

    # Arrange up to 4 photos in grid
    positions = [
        (Inches(0.5), Inches(1.5)),
        (Inches(6.5), Inches(1.5)),
        (Inches(0.5), Inches(4)),
        (Inches(6.5), Inches(4))
    ]

    for i, photo in enumerate(photos[:4]):
        left, top = positions[i]
        slide.shapes.add_picture(photo['path'], left, top, width=Inches(5.5))

Read the full file on GitHub · 421 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 · 421 lines · 31 tokens per session scan A 3c600637af54

Subscribe to this mod's changes

pptx-construction is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (312 stars, last pushed 21d ago), licensed MIT. It adds 31 tokens to every session and 3,881 once invoked, about $0.0002 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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