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zmmqqqq

1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc.

by zmmqqqq · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
496
Downloads
0
Stars
4
Active Installs
1
Versions
Install in OpenClaw
/install templatebased-writing
Description
Automatically analyze Word templates and data inputs to generate formal documents matching the template's styles and structure.
Usage Guidance
This skill appears coherent and focused on template analysis + data-driven document generation and asks for no credentials. Before installing: (1) Confirm you trust the skill owner (source/homepage unknown). (2) Be aware the skill uses the 'exec' tool at runtime — it can run local commands to parse files; ensure the runtime environment restricts what exec may run if you have sensitive system files. (3) Test with non-sensitive templates/data first to verify results and to ensure no sensitive data is inadvertently included in outputs. (4) If you need guarantees about privacy or network access, verify the platform's data handling and network policies, since the skill itself contains no explicit network endpoints but model calls (glm-5) happen via the platform.
Capability Analysis
Type: OpenClaw Skill Name: templatebased-writing Version: 1.0.0 The skill is a legitimate template-based document generator designed to analyze Word templates and various data sources (CSV, SQL, documents) to produce formatted reports. While it requests high-privilege tools like 'exec' and 'write' in skill.md, the instructions in prompt.md and the documentation in readme.md consistently describe their use for data processing and file management related to report generation. No evidence of data exfiltration, malicious command execution, or prompt injection attacks was found.
Capability Assessment
Purpose & Capability
The skill's name/description match what the SKILL.md and PROMPT.md ask it to do: read a Word template, ingest documents/CSV/SQL results, analyze styles/structure, and produce document content. The declared tools (read, write, exec) are appropriate for file I/O and lightweight data processing. No unrelated credentials, binaries, or paths are requested.
Instruction Scope
PROMPT.md specifies detailed, template-focused analysis and steps (structure, styles, multimodal elements, data summarization, and generation). It does not instruct access to unrelated system files or external endpoints. Note: the skill declares the 'exec' tool — that permits running arbitrary local commands for processing (e.g., CSV parsing or invoking local converters). This is coherent with the purpose but increases the runtime capability surface, so runtime tool permissions should be considered.
Install Mechanism
No install spec and no code files — this is an instruction-only skill. That minimizes disk-level risk (nothing downloaded or installed by the skill itself).
Credentials
The skill requests no environment variables, credentials, or configuration paths. Its needs (reading templates and data files) are proportional to the stated function.
Persistence & Privilege
always is false and there are no indications the skill requests persistent system-wide changes or modifies other skills. Autonomous invocation is allowed (platform default) but not combined with other concerning privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install templatebased-writing
  3. After installation, invoke the skill by name or use /templatebased-writing
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of template-report-generator. - Automatically analyzes Word template structures. - Generates formal documents matching template styles from knowledge base documents, multiple files, or CSV/relational/SQL data.
Metadata
Slug templatebased-writing
Version 1.0.0
License MIT-0
All-time Installs 4
Active Installs 4
Total Versions 1
Frequently Asked Questions

What is 1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc.?

Automatically analyze Word templates and data inputs to generate formal documents matching the template's styles and structure. It is an AI Agent Skill for Claude Code / OpenClaw, with 496 downloads so far.

How do I install 1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc.?

Run "/install templatebased-writing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc. free?

Yes, 1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc. is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc. support?

1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc. is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 1. The input is a Word template document; 2. Analyze the structure of this template, including: 1) Font styles, sizes, etc., for headings, body text, etc.; 2) Content: the general structure of each paragraph; 3) Multimedia elements: images, text, tables (including metric data, etc.) 3. Generate documents that conform to the template structure based on the given data 1) A knowledge base, or multiple documents; 2) Relationship tables (or CSV files), SQL query results, etc.?

It is built and maintained by zmmqqqq (@zmmqqqq); the current version is v1.0.0.

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