Agent skill

Cxas Drawio Ingestor

by GoogleCloudPlatform in GoogleCloudPlatform/cxas-scrapi

Extracts conversational transcripts from .drawio XML files. An agent skill from GoogleCloudPlatform/cxas-scrapi.

Apache-2.0Auto-check passedDevelopment

Install Cxas Drawio Ingestor

skills CLI

$ npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-drawio-ingestor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install GoogleCloudPlatform/cxas-scrapi cxas-drawio-ingestor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/GoogleCloudPlatform/cxas-scrapi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio .claude/skills/cxas-drawio-ingestor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "cxas-drawio-ingestor" agent skill from https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio into .claude/skills/cxas-drawio-ingestor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cxas-drawio-ingestor", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-drawio-ingestor -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install GoogleCloudPlatform/cxas-scrapi cxas-drawio-ingestor --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/GoogleCloudPlatform/cxas-scrapi.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio .agents/skills/cxas-drawio-ingestor && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "cxas-drawio-ingestor" agent skill from https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio into .agents/skills/cxas-drawio-ingestor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cxas-drawio-ingestor", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-drawio-ingestor -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install GoogleCloudPlatform/cxas-scrapi cxas-drawio-ingestor --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/GoogleCloudPlatform/cxas-scrapi.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio .cursor/skills/cxas-drawio-ingestor && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "cxas-drawio-ingestor" agent skill from https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio into .cursor/skills/cxas-drawio-ingestor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cxas-drawio-ingestor", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/GoogleCloudPlatform/cxas-scrapi.git --path .agents/skills/cxas-cuj-report-generator/ingestors/files/drawio

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-drawio-ingestor -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install GoogleCloudPlatform/cxas-scrapi cxas-drawio-ingestor --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/GoogleCloudPlatform/cxas-scrapi.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio .gemini/skills/cxas-drawio-ingestor && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "cxas-drawio-ingestor" agent skill from https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio into .gemini/skills/cxas-drawio-ingestor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cxas-drawio-ingestor", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install GoogleCloudPlatform/cxas-scrapi cxas-drawio-ingestor

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-drawio-ingestor -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/GoogleCloudPlatform/cxas-scrapi.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio .github/skills/cxas-drawio-ingestor && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "cxas-drawio-ingestor" agent skill from https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio into .github/skills/cxas-drawio-ingestor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cxas-drawio-ingestor", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-drawio-ingestor -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install GoogleCloudPlatform/cxas-scrapi cxas-drawio-ingestor --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/GoogleCloudPlatform/cxas-scrapi.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio .opencode/skills/cxas-drawio-ingestor && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "cxas-drawio-ingestor" agent skill from https://github.com/GoogleCloudPlatform/cxas-scrapi/tree/main/.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio into .opencode/skills/cxas-drawio-ingestor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cxas-drawio-ingestor", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: cxas-drawio-ingestor
GitHub stars: 107
Token cost: ~1.3k tokens
SKILL.md length: 496 words
Files: 1
Skills in repo: 14
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Extracts conversational transcripts from .drawio XML files. An agent skill from GoogleCloudPlatform/cxas-scrapi.

Works in 4 steps: Parse Graph Structural Topology → Dialogue State & Path Traversal → Brand and Domain Consistency Mapping → …
Tasks that involve Diagrams
SKILL.md covers Protocol for Flowchart &…, Example Target Schema and Linguistic & Voice Naturalness…
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cxas Drawio Ingestor is an agent skill from GoogleCloudPlatform/cxas-scrapi. Extracts conversational transcripts from .drawio XML files.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Diagrams. It works with draw.io. The repository describes itself as: A powerful Python API, CLI, and set of Agent Skills for CX Agent Studio to automate, evaluate, and scale your agents with ease. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Diagrams

Example prompts

“Use the cxas-drawio-ingestor skill to extract conversational transcripts from .drawio XML files. An agent skill from GoogleCloudPlatform/cxas-scrapi”
“/cxas-drawio-ingestor”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Parse Graph Structural Topology
Dialogue State & Path Traversal
Brand and Domain Consistency Mapping
Format the Resulting CXAS Transcript

What it can do on your machine

Read from SKILL.md and the folder at commit ffba639. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cxas Drawio Ingestor loads about 1.3k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 496 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~20
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from GoogleCloudPlatform/cxas-scrapi at commit ffba639, republished under its Apache-2.0 licence (© GoogleCloudPlatform). 496 words, ~1,262 tokens.

Download SKILL.mdSave it as .claude/skills/cxas-drawio-ingestor/SKILL.md (or your agent's skills folder).

name: cxas-drawio-ingestor
description: Extracts conversational transcripts from .drawio XML files.

Draw.io Ingestor Skill

Use this skill when you need to extract dialogue turns and conversation flows from .drawio diagram files.

Protocol for Flowchart & Diagram Traversal

When processing .drawio flowchart designs, you must parse them as complete directed graphs to construct dialogue paths, rather than extracting flat text turns.

1. Parse Graph Structural Topology

Scan <mxCell> tags where vertex="1". Extract their id and value (text label).
Scan <mxCell> tags where edge="1". Match source and target vertex IDs to identify directed pathways.
Clean cell text by stripping internal HTML styling, tags, and formatting metadata (e.g., <div>, <font>, CSS styles). Unescape HTML entities (e.g., " or <) to obtain clean text.

2. Dialogue State & Path Traversal

Locate the start node (typically a top-level cell labeled "Start", "Welcome", or "Entry").
Perform a step-by-step traversal (DFS/BFS) along the directed edges. Each unique path from start to a terminal node constitutes a distinct conversation flow.
State Mapping:
- Prompt Node: Maps to an Agent Turn (using the node's cleaned label).
- Directed Edge Label: Maps to a User Input (representing speech utterances or DTMF keys that trigger that transition).
- Computational Node: Maps to a System Action / Webhook (e.g., database lookups or validation calls).
- Decision Diamond: Represents logical branching.

3. Brand and Domain Consistency Mapping

Ensure that you map all domain concepts consistently to the target brand or theme requested by the user or specified in the requirements. Do not mix multiple industrial domains in a single report.

If the target brand has specific concepts, map requirements to fit that brand's services.
If no brand is specified, use clean, generic customer service phrasing suitable for the context.
Avoid using technical or backend-specific terminology in spoken Agent turns.

Show full SKILL.md (218 more words)Show less

4. Format the Resulting CXAS Transcript

Compile the traversed paths into a structured CXAS YAML format complying with the root-level turn structures (turns containing speaker: Agent|User, text, and optional actions). Ensure every scenario starts with the standardized Agent welcome greeting, is voice-realistic, and ends with the standardized sign-off calling the end_session tool.

Example Target Schema

yaml

subintent_id: check_loyalty_status
subintent_name: "Check Loyalty VIP Status"
parent_cuj: "Loyalty Rewards"
turns:
  - speaker: Agent
    text: "Hello! Thanks for calling [Brand]. How can I help you today?"
  - speaker: User
    text: "I need to check my loyalty rewards point balance."
  - speaker: Agent
    text: "I'd be happy to help you check your loyalty rewards point balance. May I have your membership phone number?"
  - speaker: User
    text: "Yes, it is 555-0199."
  - speaker: Agent
    text: "Thank you. Let me verify your rewards balance."
    webhook_call:
      name: check_rewards_balance
      payload:
        phone_number: "5550199"
      response:
        vip_status: "ELITE"
        points_balance: 1500
  - speaker: Agent
    text: "I've found your account. You are an Elite member with a balance of 1,500 points. Is there anything else I can help you with today?"
  - speaker: User
    text: "No, that's all. Thank you."
  - speaker: Agent
    text: "Thank you for calling [Brand]! Goodbye."
    tool_call:
      name: end_session
      payload:
        session_escalated: false
        reason: "Conversation completed successfully"

Linguistic & Voice Naturalness Standards

All generated spoken dialogue turns (Agent voice turns) MUST strictly adhere to high-fidelity spoken voice standards. Subagents must ensure:

Numeric Voice Normalization: Spoken Agent turns MUST NOT contain raw digits, formatted currencies, or punctuation symbols representing numbers (e.g., do NOT write "450", "$909", "555-0199"). Instead, numbers must be explicitly spelled out phonetically:
- Correct: "four hundred fifty points", "nine hundred nine dollars".
- IDs and Phone Numbers: Must be written digit-by-digit separated by spaces or commas: "five five five, zero, one, nine, nine".
Spoken Breath Span Limit: Agent turns must remain concise, natural, and conversational. Individual spoken text blocks MUST NOT exceed 300 characters inside a single turn.
Vocabulary Smoothness: Avoid robotic repetitions of the same long words (do not repeat the same word of length 5+ more than 4 times in a single turn).
Conversational Politeness: Agent turns must maintain standard polite voice markers (please, thank you, thanks, certainly, happy to help, welcome, goodbye, great day).

Files

Just SKILL.md in .agents/skills/cxas-cuj-report-generator/ingestors/files/drawio of GoogleCloudPlatform/cxas-scrapi.

Open the folder on GitHubat commit ffba639

Compare with similar skills

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Cxas Drawio Ingestor compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Cxas Drawio Ingestor this skillGoogleCloudPlatform/cxas-scrapi	107	—	~1.3k	Automated safety check: Pass	Apache-2.0	today
Diagram Designcathrynlavery/diagram-design	45k	1 repos	~7.5k	Automated safety check: Pass	MIT	today
Draw.io Diagram StudioAgents365-ai/drawio-skill	10k	—	~2.4k	Automated safety check: Notes	MIT	6 days ago
Draw.io Diagram ReconstructionHKUSTDial/Supervisor-Skills	8.5k	—	~5.4k	Automated safety check: Pass	MIT	1 mo ago
Scibox Diagramjihe520/sci-box	248	1 repos	~983	Automated safety check: Notes	None	1 mo ago
Drawio Diagram BuilderWill-hxw/drawio-diagram-builder	412	—	~5.9k	Automated safety check: Pass	MIT	3 mo ago

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Works with

draw.io

Questions about Cxas Drawio Ingestor

What does Cxas Drawio Ingestor do?

Extracts conversational transcripts from .drawio XML files. An agent skill from GoogleCloudPlatform/cxas-scrapi. Cxas Drawio Ingestor is an agent skill from GoogleCloudPlatform/cxas-scrapi.drawio XML files.

When should I use Cxas Drawio Ingestor?

Cxas Drawio Ingestor fits situations like: tasks that involve Diagrams.

How do I install Cxas Drawio Ingestor in Claude Code?

Run `npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-drawio-ingestor -a claude-code`. Or copy the skill folder (.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio in GoogleCloudPlatform/cxas-scrapi) into .claude/skills/cxas-drawio-ingestor in your project. Claude Code loads it when a task matches its description.

How do I install Cxas Drawio Ingestor in Codex?

Run `npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-drawio-ingestor -a codex`. Or copy the skill folder (.agents/skills/cxas-cuj-report-generator/ingestors/files/drawio in GoogleCloudPlatform/cxas-scrapi) into .agents/skills/cxas-drawio-ingestor in your project. Codex loads it when a task matches its description.

Can I use Cxas Drawio Ingestor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GoogleCloudPlatform/cxas-scrapi --skill cxas-drawio-ingestor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cxas-drawio-ingestor, .gemini/skills/cxas-drawio-ingestor, .github/skills/cxas-drawio-ingestor and .opencode/skills/cxas-drawio-ingestor in your project.

What does Cxas Drawio Ingestor need to run?

SKILL.md names no scripts, command-line tools or credentials: Cxas Drawio Ingestor is instructions for the agent only.

Does Cxas Drawio Ingestor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cxas Drawio Ingestor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cxas Drawio Ingestor use?

Cxas Drawio Ingestor is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cxas Drawio Ingestor use?

About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cxas Drawio Ingestor?

Skills that share tags, products or a category with Cxas Drawio Ingestor: Diagram Design (cathrynlavery/diagram-design, 45k stars), Draw.io Diagram Studio (Agents365-ai/drawio-skill, 10k stars), Draw.io Diagram Reconstruction (HKUSTDial/Supervisor-Skills, 8.5k stars) and Scibox Diagram (jihe520/sci-box, 248 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cxas Drawio Ingestor?

GoogleCloudPlatform (a GitHub organization) maintains it in GoogleCloudPlatform/cxas-scrapi, which has 107 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 8, 2026.

Source: GoogleCloudPlatform/cxas-scrapi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Cxas Drawio Ingestor

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Draw.io Ingestor Skill

Protocol for Flowchart & Diagram Traversal

1. Parse Graph Structural Topology

2. Dialogue State & Path Traversal

3. Brand and Domain Consistency Mapping

4. Format the Resulting CXAS Transcript

Example Target Schema

Linguistic & Voice Naturalness Standards

Files

Compare with similar skills

Similar skills

More from GoogleCloudPlatform/cxas-scrapi

Related

Questions about Cxas Drawio Ingestor