CLI Anything for Marketers: How to Make AI Agents Control Your Design and Content Tools

CLI Anything turns any open-source software into a command-line tool your AI coding agent controls directly from the terminal. For marketers, this means Claude Code now generates diagrams in Draw.io, produces reports in LibreOffice, batch-processes ad images in GIMP, edits podcast audio in Audacity, and builds brand assets in Inkscape. One command. No APIs. No config files.

The tool comes from the Data Intelligence Lab at Hong Kong University of Science and Technology (HKUDS), the same team behind LightRAG and RAG Anything. CLI Anything hit 21,000+ stars on GitHub within weeks of launch, passing 1,858 tests across 11 applications at a 100% pass rate. Every design tool, document generator, and content creation app with an open-source codebase now becomes agent-native with a single terminal command.

TL;DR

CLI Anything is an open-source Claude Code plugin that auto-generates CLI interfaces for any software with a codebase. It runs a 7-phase pipeline (analyze, design, implement, plan tests, write tests, document, publish) and outputs a production-grade CLI your AI agent controls from the terminal.

Marketers use it to batch-resize ad creatives in GIMP, generate campaign flow diagrams in Draw.io, produce client reports in LibreOffice, build SVG brand assets in Inkscape, edit podcast audio in Audacity, and cut video clips in Kdenlive or Shotcut. This article covers 8 specific marketing workflows with prompts you copy into Claude Code today.

Key Takeaways

• CLI Anything converts open-source GUI software into CLI tools AI agents control from the terminal
• The 7-phase automated pipeline requires zero manual configuration or coding knowledge
• Pre-built CLIs exist for Draw.io, LibreOffice, GIMP, Inkscape, Blender, Audacity, Kdenlive, Shotcut, and more
• Batch ad creative resizing through GIMP CLI replaces 2+ hours of manual work per campaign
• Campaign flow diagrams generate in under 60 seconds through Draw.io CLI
• Client reports export as production-quality PDFs through the LibreOffice engine
• CLI-based agent control is faster and more reliable than MCP servers or screenshot-based automation
• Installation takes two commands inside Claude Code

What Is CLI Anything and Why Should Marketers Care?

CLI Anything is an open-source Claude Code plugin from HKUDS (Hong Kong University Data Intelligence Lab). It analyzes any software’s source code and auto-generates a complete, tested command-line interface your AI agent uses natively.

Agent-controlled software removes the human bottleneck from repetitive production tasks. Instead of opening Draw.io, clicking through menus, and manually exporting a diagram, you tell Claude Code what you need. The agent calls the Draw.io CLI directly and delivers the finished file.

Most marketing teams spend 8-12 hours per week on production tasks: resizing images for ad platforms, building campaign diagrams, formatting reports, editing audio clips, and exporting presentations. CLI Anything converts these GUI-dependent tasks into single-prompt agent workflows.

Action item: Visit the CLI Anything GitHub repo and match pre-built CLIs to the tools your team touches every week.

How Does the 7-Phase Pipeline Work?

CLI Anything runs a fully automated 7-phase pipeline when you point it at a software codebase. No manual intervention at any stage.

Phases 1-3: Analyze, Design, Implement

The plugin scans the source code, maps GUI actions to underlying APIs, and produces a standard operating procedure document. It then architects command groups with structured JSON output and builds a Click-based Python CLI with REPL mode and undo/redo capabilities.

Phases 4-7: Test, Document, Publish

CLI Anything generates multi-layered test suites with real software backends (not synthetic mocks). Across 11 applications, the tool runs 1,858 tests at a 100% pass rate. It auto-generates documentation and prepares the CLI for installation via pip install.

The full pipeline takes 15-20 minutes for a medium-sized codebase. Pre-built CLIs skip the generation step entirely.

Action item: Run /plugin marketplace add HKUDS/CLI-Anything in Claude Code, then /plugin install cli-anything to install all pre-built CLIs immediately.

Why Are CLIs Replacing MCP Servers for Agent Control?

CLI-based agent control outperforms MCP servers for one reason: zero overhead. Claude Code already lives in the terminal. The CLI lives in the terminal. No serialization, no running server process, no config files to debug.

MCP servers require setup and a persistent process bridging the agent to the software. CLIs eliminate the middleman. The agent calls the command, gets structured JSON back, and moves to the next step. Faster execution, fewer failure points, lower token usage.

CLI Anything-generated interfaces call real software backends directly. When you export a PDF through the LibreOffice CLI, the LibreOffice engine generates the file. When you render a diagram through Draw.io CLI, Draw.io produces the output. No toy implementations, no approximations.

Action item: Audit your current MCP server setup. Identify tools where a direct CLI would reduce latency and failure rates.

Use Case 1: Batch Ad Creative Resizing with GIMP CLI

Every paid media campaign needs the same image in multiple sizes. Facebook feed (1200x628), Instagram Stories (1080x1920), Google Display (300x250, 728x90, 160x600), LinkedIn (1200x627). Manually resizing in GIMP or Photoshop takes 10-15 minutes per image. For a campaign with 5 hero images across 6 placements, you spend 2+ hours clicking through export dialogs.

GIMP CLI eliminates this. The CLI Anything-generated GIMP interface passes 107 tests (64 unit, 43 end-to-end) and calls the real GIMP backend for pixel-accurate processing.

Use this prompt to batch-resize campaign images through Claude Code:

SYSTEM: You are a marketing ops engineer using Claude Code with the GIMP CLI.

<context>
Source images: ./campaign-assets/hero-*.png (5 images)
Required sizes:
- Facebook Feed: 1200x628
- Instagram Stories: 1080x1920
- Google Display: 300x250
- Google Display: 728x90
- LinkedIn Feed: 1200x627
</context>

For each source image, use the GIMP CLI to:
1. Create resized versions for all 5 placements
2. Apply center-crop for aspect ratios differing from the original
3. Export as optimized JPEGs at quality 92
4. Save to ./campaign-assets/resized/ with naming: {original-name}-{platform}-{width}x{height}.jpg

MUST use cli-anything-gimp commands.
MUST preserve color profiles during export.

Output: Summary of all generated files with dimensions and file sizes.

Time saved per campaign: 2+ hours of manual resizing reduced to under 5 minutes. Run this every time you launch a new ad set.

Action item: Collect your most common ad placement sizes into a reference file. Run your next campaign’s creative resizing through GIMP CLI and measure the time difference.

Use Case 2: Campaign Flow Diagrams in Draw.io CLI

Campaign briefs need flow diagrams. Customer journey maps, email automation sequences, ad funnel visualizations, attribution models. Building these manually takes 30-45 minutes of dragging shapes, connecting nodes, styling elements, and exporting.

Draw.io CLI generates diagrams programmatically with 138 passing tests (116 unit, 22 end-to-end). The agent builds the structure from your description and exports to SVG, PNG, or PDF.

SYSTEM: You are a marketing ops engineer using Claude Code with the Draw.io CLI.

<context>
Campaign: Q2 Product Launch
Channels: Google Ads, LinkedIn Ads, Email Nurture, Webinar
</context>

Create a campaign flow diagram showing:
1. Top-of-funnel: Google Ads and LinkedIn Ads driving to landing page
2. Landing page captures lead into CRM
3. Email nurture sequence (4 emails over 14 days)
4. Webinar invite at email 3
5. Sales handoff after webinar attendance or engagement score above 50

MUST use the Draw.io CLI tool.
MUST apply color coding: blue for paid, green for email, orange for sales.
MUST export as both SVG and PNG.

Output: The finished diagram files with a text summary of each node.

One prompt replaces 30-45 minutes of manual work. Save the prompt as a template and update the context block for each new campaign.

Action item: Rebuild your current campaign’s highest-priority flow diagram through the Draw.io CLI. Save the prompt as a reusable template.

Use Case 3: Client Report Generation with LibreOffice CLI

Client reports follow the same structure monthly: header, executive summary, performance tables, channel breakdowns, recommendations. LibreOffice CLI passes 158 tests (89 unit, 69 end-to-end) and generates real PDFs through the LibreOffice Writer engine.

Here is the command flow for building a report:

cli-anything-libreoffice writer new -o report.json
cli-anything-libreoffice writer heading --level 1 --text "Q1 Campaign Performance Report"
cli-anything-libreoffice writer paragraph --text "Executive summary content..."
cli-anything-libreoffice writer heading --level 2 --text "Paid Media Performance"
cli-anything-libreoffice writer paragraph --text "Google Ads delivered 4.2x ROAS..."
cli-anything-libreoffice writer export --format pdf -o q1-report.pdf

The output PDF uses proper fonts, formatting, and layout from the LibreOffice engine. No markdown-to-PDF conversion artifacts or broken tables.

For agencies managing 10+ clients, this workflow generates all monthly reports from structured data in under an hour. The agent pulls metrics from CSV files, populates the template, and exports. Manual equivalent: a full workday of formatting.

SYSTEM: You are a marketing ops engineer using Claude Code with the LibreOffice CLI.

<context>
Client: {{CLIENT_NAME}}
Reporting period: {{MONTH}} {{YEAR}}
Data source: ./client-data/{{CLIENT_NAME}}-metrics.csv
Sections: Executive Summary, Paid Media, SEO, Email, Recommendations
</context>

Read the CSV metrics file. Create a LibreOffice Writer report:
1. Client name and reporting period as header
2. Executive summary synthesizing top-line metrics
3. Paid Media: spend, impressions, clicks, CPA, ROAS
4. SEO: organic sessions, ranking changes, content published
5. Email: sends, open rate, click rate, revenue attributed
6. Recommendations: 3 actions for next month with expected impact

MUST use cli-anything-libreoffice commands.
MUST export as PDF.

Output: The finished PDF report file.

Action item: Build a report template prompt for your top client. Generate next month’s report through LibreOffice CLI and compare quality against your manual process.

Use Case 4: SVG Brand Asset Production with Inkscape CLI

Marketing teams need SVG assets for web, email, presentations, and documentation. Logo colorways, icon exports, social media graphics at specific dimensions. Inkscape CLI passes 202 tests (148 unit, 54 end-to-end) and handles vector creation, editing, and batch export.

Inkscape CLI workflows marketers run regularly:

• Batch-export logos as PNG at 5+ sizes (favicon, social thumbnail, email header, print)
• Generate dark mode logo variants by inverting colors in the source SVG
• Convert between SVG, PNG, PDF, and EPS for different distribution channels
• Export infographic elements at specific pixel dimensions for web embedding

SYSTEM: You are a brand ops engineer using Claude Code with the Inkscape CLI.

<context>
Source logo: ./brand-assets/logo-primary.svg
Required exports:
- Favicon: 32x32 PNG and 64x64 PNG
- Social thumbnail: 400x400 PNG
- Email header: 600x100 PNG
- Print: PDF and EPS at original vector resolution
- Dark mode: inverted color variant as SVG
</context>

Use the Inkscape CLI to batch-export the logo in all formats and dimensions.

MUST preserve vector quality for PDF and EPS exports.
MUST create the dark mode variant as a separate SVG file.

Output: All exported files in ./brand-assets/exports/ with a manifest listing each file.

Time saved: 20-30 minutes per brand asset update. Teams doing quarterly brand refreshes reclaim half a day per cycle.

Action item: Identify your most common brand export requests. Build an Inkscape CLI prompt template your team reuses for every export cycle.

Use Case 5: Podcast and Ad Audio Editing with Audacity CLI

Audacity CLI passes 161 tests (107 unit, 54 end-to-end) and processes audio through the real Audacity backend. Marketing teams use this for podcast post-production, ad audio normalization, and batch format conversion.

Podcast production workflows through Audacity CLI:

• Normalize audio levels to -16 LUFS (podcast distribution standard)
• Splice intro, interview, and outro segments into a single export
• Apply noise reduction to interview recordings with background hum
• Batch-convert WAV recordings to MP3 at 128kbps for distribution platforms
• Trim leading and trailing silence from raw recordings

SYSTEM: You are a content ops engineer using Claude Code with the Audacity CLI.

<context>
Raw recording: ./podcast/raw-episode-42.wav
Intro audio: ./podcast/templates/intro.wav
Outro audio: ./podcast/templates/outro.wav
Target loudness: -16 LUFS
</context>

Process the podcast episode:
1. Trim leading and trailing silence from the raw recording
2. Normalize audio to -16 LUFS
3. Apply noise reduction for background hum
4. Prepend the intro audio
5. Append the outro audio
6. Export as MP3 at 128kbps and WAV at 44.1kHz

MUST use cli-anything-audacity commands.

Output: The finished MP3 and WAV files ready for distribution.

Time saved: 30-45 minutes per episode. Teams producing weekly podcast content reclaim 2-3 hours monthly from audio production alone.

Action item: If your team produces podcast or ad audio content, install the Audacity CLI and process your next episode through Claude Code.

Use Case 6: Video Clip Repurposing with Shotcut CLI

Shotcut CLI passes 154 tests (110 unit, 44 end-to-end) and calls the real video editing backend. Marketing teams use this to repurpose long-form video into short-form social clips.

A single webinar recording produces 5-10 short clips for LinkedIn, YouTube Shorts, Instagram Reels, and TikTok. Doing this manually in a video editor takes 1-2 hours of scrubbing, trimming, adding text overlays, and exporting at different aspect ratios.

Video repurposing workflows through Shotcut CLI:

• Trim webinar recordings to highlight clips at specified timestamps
• Batch-export the same clip at 16:9, 9:16, and 1:1 aspect ratios
• Add text overlays with campaign messaging or CTAs
• Concatenate multiple short clips into a compilation reel
• Apply consistent color correction across a batch of product demos

Time saved: 1-2 hours per set of social clips. A 60-minute webinar yields a week of social content through one Claude Code session.

Action item: Take your last webinar recording and identify 5 timestamp ranges for highlight clips. Run the Shotcut CLI to produce all clips and measure time against your manual editing process.

Use Case 7: Presentation Assembly with LibreOffice Impress CLI

Quarterly business reviews, campaign proposals, and client pitches all need slide decks. LibreOffice Impress CLI builds presentations from structured data. The agent creates slides, adds titles, inserts text, and exports to PDF or PPTX.

SYSTEM: You are a marketing ops engineer using Claude Code with the LibreOffice CLI.

<context>
Data source: ./reports/q1-metrics.csv
Presentation type: Quarterly Business Review
Slides: 10-12
</context>

Create a LibreOffice Impress presentation:
1. Title slide: "Q1 2026 Marketing Performance Review"
2. Executive summary with top-line metrics from CSV
3. Paid media: spend, CPA, ROAS by channel
4. SEO: organic traffic, ranking movements
5. Email: list growth, engagement rates, revenue
6. Content: top posts by traffic and conversion
7. Pipeline: MQLs, SQLs, pipeline generated
8. Budget: actual vs. planned by channel
9. Key wins: 3 accomplishments with specific metrics
10. Next quarter: 3 initiatives with expected outcomes

MUST use cli-anything-libreoffice commands.
MUST export as both PDF and PPTX.

Output: The finished presentation files.

Time saved: 1-2 hours per QBR cycle. The agent assembles all slides from your data. You review, refine the narrative, and present.

Action item: Map your next QBR’s slide structure into a prompt template. Generate the first draft through LibreOffice Impress CLI.

Use Case 8: Full Campaign Asset Pipeline (Chaining Multiple CLIs)

The real leverage comes from chaining CLIs in a single Claude Code session. Here is a complete campaign launch pipeline:

1. Claude Code receives a brief: “Create all assets for the Q2 product launch”
2. Agent generates a campaign flow diagram through Draw.io CLI (60 seconds)
3. Agent batch-resizes 5 hero images for 6 ad placements through GIMP CLI (3 minutes)
4. Agent creates SVG social thumbnails through Inkscape CLI (2 minutes)
5. Agent builds a 10-slide pitch deck through LibreOffice Impress CLI (3 minutes)
6. Agent exports the campaign summary report as PDF through LibreOffice Writer CLI (2 minutes)
7. All assets land in the project directory, organized by type

Total time: 15-20 minutes of autonomous agent work. Manual equivalent: 6-8 hours across 5 different applications. No switching between tools. No manual exports. No formatting cleanup.

Action item: Map your next campaign’s complete asset requirements. Build the full CLI chain as a reusable prompt you run for every launch.

How Do You Set Up CLI Anything?

Step 1: Install the Plugin

CLI Anything installs inside Claude Code with two commands:

/plugin marketplace add HKUDS/CLI-Anything
/plugin install cli-anything

Restart Claude Code or run /reload plugins to activate. Pre-built CLIs for all 11 applications install automatically.

Step 2: Install Target Software

The target application must be installed locally. CLI Anything generates interfaces to real software backends. If you want GIMP CLI, install GIMP. If you want LibreOffice CLI, install LibreOffice. Both are free.

Step 3: Generate CLIs for Custom Tools

For tools not in the pre-built catalog, clone the repo and point CLI Anything at it:

git clone https://github.com/jgraph/drawio.git
/cli-anything ./drawio

The 7-phase pipeline runs automatically in 15-20 minutes.

Action item: Install CLI Anything today. Run one pre-built CLI against a real task and measure the time savings before rolling it out to your team.

What Are the Limitations?

CLI Anything requires the target software to be open source. Proprietary tools like Adobe Creative Suite, Figma, or Canva do not work. Open-source alternatives cover most marketing needs: GIMP for Photoshop, Inkscape for Illustrator, Draw.io for Lucidchart, LibreOffice for Microsoft Office, Kdenlive for Premiere.

Complex GUI interactions like freehand drawing or pixel-level retouching do not translate to CLI commands. CLI Anything works best for structured, repeatable tasks: batch resizing, document generation, diagram creation, format conversion, audio normalization.

The target application must be installed locally. This means your machine needs the disk space and processing power for each tool. Cloud-hosted or SaaS tools without source code access are not compatible.

Action item: List your team’s top 10 production tools. Match each to an open-source equivalent with CLI Anything support. Prioritize by weekly time cost.

Final Takeaways

CLI Anything converts 8+ hours of weekly production work into single-prompt agent workflows. Batch image resizing, diagram generation, report production, audio editing, video clipping, and presentation assembly all run through the terminal.

The 7-phase automated pipeline removes all technical barriers. You do not need to write code, configure APIs, or understand CLI architecture. Point. Generate. Use.

Pre-built CLIs for Draw.io (138 tests), GIMP (107 tests), LibreOffice (158 tests), Inkscape (202 tests), Audacity (161 tests), Kdenlive (155 tests), and Shotcut (154 tests) cover the most common marketing production needs.

Every prompt template you build becomes a reusable asset your team runs repeatedly. The first campaign takes effort to set up. Every campaign after takes a fraction of the time.

The operators who adopt CLI Anything now build compounding advantages. Every automated production workflow frees capacity for strategy, creative direction, and growth work.