ppt-generation-resilient

ppt-generation-resilient is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 23 tokens per session (2,363 once invoked), scanned A, original, MIT.

A two-path workflow for generating PowerPoint presentations: shell-agent generation first, followed by direct Python creation when needed. Both paths include error handling and file-location checks.

In plain words
What is it for?
Use it to create programmatic presentations and confirm that the resulting PowerPoint file was created correctly and where expected.
Why use it?
It gives presentation generation a fallback when the first method fails or produces unclear errors.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create programmatic presentations and confirm that the resulting PowerPoint file was created correctly and where expected.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hkuds/openspace/ppt-workflow-location-enhanced
About the project

OpenSpace is a skill-management layer for AI agents that stores, retrieves, evaluates, shares, and improves reusable workflows. It is intended for people using multiple coding agents who want skills to be reused and refined based on task outcomes. The catalogue provides 200 skills for use with OpenSpace and the agents it supports.

HKUDS/OpenSpace · 7,534 stars · on GitHub

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 HKUDS/OpenSpace --skill ppt-workflow-location-enhanced
Clone the repo
git clone --depth 1 https://github.com/HKUDS/OpenSpace

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 ppt-generation-resilient

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/ppt-workflow-location-enhanced.svg)](https://agentmods.dev/skills/hkuds/openspace/ppt-workflow-location-enhanced)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/ppt-workflow-location-enhanced"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/ppt-workflow-location-enhanced.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,363 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 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 $0.00023 $0.02363
Opus 5 $0.00012 $0.01182
Sonnet 5 $0.00005 $0.00473
Haiku 4.5 $0.00002 $0.00236

Measured 3d ago against content hash 235d843f7f43, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ppt-generation-resilient 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 3d 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.

benchmarks/gdpval/skills/ppt-workflow-location-enhanced/SKILL.md · 342 lines

How it starts

The opening of the file, as written. The whole thing — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Resilient PowerPoint Generation Workflow

When to Use This Skill

Use this workflow when:

  • You need to create PowerPoint presentations programmatically
  • shell_agent may fail or produce opaque error messages
  • You need robust error handling and debugging capabilities
  • Output files may be created in unexpected nested directories

Overview

This workflow provides two paths:

  1. Primary: Use shell_agent with clear specifications (preferred for simple presentations)
  2. Fallback: Direct Python execution with python-pptx library (for complex or failed shell_agent attempts)

Both paths include automatic error capture and file location verification.


Path 1: shell_agent (Primary)

Step 1.1: Delegate with Clear Specifications

Use shell_agent to create a PowerPoint presentation with:
- Specify exact number of slides needed
- Define content/topic for each slide
- Request file saved with clear filename (e.g., presentation.pptx)
- Ask agent to confirm the full file path after creation
- Request agent report any errors with full output

Example task description:

Create a PowerPoint presentation with 10 slides covering [topic]. Each slide should have a title and bullet points. Save it as presentation.pptx in the current working directory and report the full file path. If you encounter any errors, show the complete error message.

Step 1.2: Verify shell_agent Success

Check if shell_agent completed successfully:

  • Did it report a file path?
  • Can you access the file at that path?
  • Is the file size > 0 bytes?

If any check fails, proceed to Path 2 (Fallback).


Path 2: Direct Python with python-pptx (Fallback)

Step 2.1: Create Python Script File

First, write the PowerPoint generation script to a .py file (do NOT use inline execution):

# save as: generate_presentation.py
from pptx import Presentation
from pptx.util import Inches, Pt
import os

# CRITICAL: Explicitly set and verify working directory
working_dir = os.getcwd()
print(f"Working directory: {working_dir}")

# Create presentation
prs = Presentation()

# Example: Add slides with content
slides_content = [
    {"title": "Slide 1 Title", "content": ["Bullet 1", "Bullet 2"]},
    {"title": "Slide 2 Title", "content": ["Point A", "Point B", "Point C"]},
    # Add more slides as needed
]

for slide_data in slides_content:
    slide_layout = prs.slide_layouts[1]  # Title and Content layout
    slide = prs.slides.add_slide(slide_layout)
    
    # Set title
    title = slide.shapes.title
    title.text = slide_data["title"]
    
    # Set content
    content = slide.placeholders[1]
    tf = content.text_frame
    tf.clear()  # Clear existing content
    
    for i, point in enumerate(slide_data["content"]):
        if i == 0:
            p = tf.paragraphs[0]
        else:
            p = tf.add_paragraph()
        p.text = point
        p.font.size = Pt(18)

# Save to current working directory with explicit path
output_filename = "presentation.pptx"
output_path = os.path.join(working_dir, output_filename)
prs.save(output_path)

print(f"Presentation saved to: {output_path}")
print(f"File exists: {os.path.exists(output_path)}")
print(f"File size: {os.path.getsize(output_path)} bytes")

Read the full file on GitHub · 342 lines

Files

What ships with it

1 file 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. 3d ago First seen · 342 lines · 23 tokens per session scan A 235d843f7f43

Subscribe to this mod's changes

ppt-generation-resilient is a skill published in the GitHub repository HKUDS/OpenSpace (7,534 stars, last pushed 25d ago), licensed MIT. It adds 23 tokens to every session and 2,363 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.

Related

Other skills, from other repositories

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

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

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