pptx-construction

pptx-construction is a skill for Claude Code, Codex from jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction. It costs 31 tokens per session (3,881 once invoked), scanned A, a copy of pptx-construction, MIT.

A tool for creating PowerPoint presentations about construction projects, including progress updates, reports, stakeholder briefings, and bid presentations.

In plain words
What is it for?
Use it to generate project summaries, progress reports, data charts, and presentations for bids or stakeholders.
Why use it?
It turns project information and charts into presentation slides without building each slide manually.

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 generate project summaries, progress reports, data charts, and presentations for bids or stakeholders.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jdmorag97-rgb/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 jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction --skill pptx-construction
Clone the repo
git clone --depth 1 https://github.com/jdmorag97-rgb/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/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/pptx-construction/github.svg)](https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/pptx-construction)
Your own site
<a href="https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/pptx-construction"><img src="https://agentmods.dev/badge/skills/jdmorag97-rgb/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/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/pptx-construction"><img src="https://agentmods.dev/badge/skills/jdmorag97-rgb/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.
Origin 100% copy Near-identical to another mod 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

This is a copy

100% identical to pptx-construction — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

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 jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction (2 stars, last pushed 6mo 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. It is 100% identical to pptx-construction, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

baoyu-youtube-transcript

A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.

JimLiu/baoyu-skills · 107 tokens

orbit-notion

Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…

nexu-io/open-design · 117 tokens

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

feishu

Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.

Hmbown/CodeWhale · 33 tokens

read

Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local…

tw93/Waza · 78 tokens

overleaf-sync

A two-way connection between a local paper folder and Overleaf, a web-based LaTeX editor for writing research papers. It lets you move changes between the local files and the shared Overleaf project.

wanshuiyin/Auto-claude-code-research-in-sleep · 97 tokens