Nutrient Document Processing
affaan-m/ECC
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API.
Generate Word (.docx), Excel (.xlsx) and PowerPoint (.pptx) documents and fill existing PDF forms, from real NetClaw data, with per-element provenance and no fabrication.
$ npx skills add automateyournetwork/netclaw --skill document-generation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install automateyournetwork/netclaw document-generation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workspace/skills/document-generation .claude/skills/document-generation && rm -rf skills-srcUse ~/.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/
Install the "document-generation" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/document-generation into .claude/skills/document-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "document-generation", 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 install https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/document-generationType 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.
$ npx skills add automateyournetwork/netclaw --skill document-generation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install automateyournetwork/netclaw document-generation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workspace/skills/document-generation .agents/skills/document-generation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "document-generation" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/document-generation into .agents/skills/document-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "document-generation", 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.
$ npx skills add automateyournetwork/netclaw --skill document-generation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install automateyournetwork/netclaw document-generation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workspace/skills/document-generation .cursor/skills/document-generation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "document-generation" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/document-generation into .cursor/skills/document-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "document-generation", 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 https://github.com/automateyournetwork/netclaw.git --path workspace/skills/document-generation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add automateyournetwork/netclaw --skill document-generation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install automateyournetwork/netclaw document-generation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workspace/skills/document-generation .gemini/skills/document-generation && rm -rf skills-srcUse ~/.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/
Install the "document-generation" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/document-generation into .gemini/skills/document-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "document-generation", 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.
$ gh skill install automateyournetwork/netclaw document-generationInstalls 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).
$ npx skills add automateyournetwork/netclaw --skill document-generation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/workspace/skills/document-generation .github/skills/document-generation && rm -rf skills-srcUse ~/.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/
Install the "document-generation" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/document-generation into .github/skills/document-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "document-generation", 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.
$ npx skills add automateyournetwork/netclaw --skill document-generation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install automateyournetwork/netclaw document-generation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workspace/skills/document-generation .opencode/skills/document-generation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "document-generation" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/document-generation into .opencode/skills/document-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "document-generation", 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.
document-generationGenerate Word (.docx), Excel (.xlsx) and PowerPoint (.pptx) documents and fill existing PDF forms, from real NetClaw data, with per-element provenance and no fabrication.
Document Generation is an agent skill from automateyournetwork/netclaw. Generate Word (.docx), Excel (.xlsx) and PowerPoint (.pptx) documents and fill existing PDF forms, from real NetClaw data, with per-element provenance and no fabrication. This is the generic document-writing engine (tool surface, tagged-value shapes, fabrication rules). For the four standard NetClaw report compositions (change record, audit workbook, executive summary deck, PDF form) with their content-sourcing rules, use network-report-documents instead — it is built on this skill. Use this skill directly for…
Its SKILL.md is about 1.9k 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 Documents & Office, covering PowerPoint presentations, Excel spreadsheets and PDF. It works with Microsoft Excel, Microsoft PowerPoint, Microsoft Word and Model Context Protocol. The repository describes itself as: An AI agent that claws through your network. The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 95bb17e. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are jsonc).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Document Generation loads about 1.9k tokens when it runs. Until then it costs about 142 tokens; SKILL.md has 977 words of instructions outside code blocks.
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.
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.
The full file from automateyournetwork/netclaw at commit 95bb17e, republished under its Apache-2.0 licence (© automateyournetwork). 977 words, ~1,912 tokens.
.claude/skills/document-generation/SKILL.md (or your agent's skills folder).document-mcp (NetClaw-authored, spec 082 / roadmap R18)$DOCUMENT_MCP_CMDA document must never fabricate to fill a blank.
Tool output is ephemeral — read once, in context, by the person who asked. A document is not. It gets emailed, attached to a ticket, filed for audit, and read months later by someone who was not there, and it carries the authority of its formatting.
A professional-looking change record with a plausible invented number is a far more effective way to launder
a guess into an official record than any amount of terminal output, because nobody re-derives a figure
that is already in a table in a .docx.
So: never infer, estimate, interpolate, or carry forward a stale value to complete a document. If you do
not have a figure, send {"unavailable": "<why>"}. The server renders that as visible text. It will not
render a blank, and it will not let you send one.
Every value in a figure, table, keyvalue or form field is one of exactly three shapes:
{"v": "fgt-01", "src": "fgt_system_status", "device": "fgt-01", "as_of": "2026-08-03T13:58:00Z"}
{"unavailable": "device did not answer within timeout"}
{"failed": "FortiGate plane unreachable: connection refused"}| You send | The document shows |
|---|---|
{"v": x, "src": ...} | x, with a visible source |
{"v": ""} | (empty) — the source was consulted and returned nothing |
{"unavailable": r} | NOT AVAILABLE — r |
{"failed": r} | RETRIEVAL FAILED — r |
{"v": x} with no src | refused |
a bare x | refused |
unavailable and failed are different facts and render differently: a dead query is not an empty result.
Neither ever renders as N/A, 0, -, or an empty cell.
| Tool | Does |
|---|---|
docx_write | Word document from ordered blocks: heading, paragraph, figure, table, keyvalue, image, pagebreak |
xlsx_write | Workbook from sheets of tagged rows, plus failed_rows |
pptx_write | Deck from slides: bullets, figure, image |
pdf_inspect_form | List a PDF's real named fields — call this before filling |
pdf_fill_form | Fill named fields into a new file; reports unfilled and unmatched |
list_documents | Find something you generated earlier |
.docx footer on every page, the .xlsx banner, and the
.pptx title and Sources slides.ok, partial
or failed.If any figure lacks a source, the whole call is refused. There is no partial path.
No footnotes in Word. python-docx has no footnote API, so attribution is inline — a Source column in
tables, a small parenthetical after prose figures. That is more visible than a footnote, not less. Word
comments and document properties are set additively but never count as provenance: they are collapsed by
default, stripped on paste, and absent in print.
No Office templates. .docx, .xlsx and .pptx are built from scratch and a supplied template is
refused, not ignored — otherwise you would get an unbranded document believing it was branded. A
corporate template's empty field is the strongest fabrication pressure in the feature. PDF forms are the
exception because their fields are explicitly named: there is nothing to guess.
A filled PDF carries no Sources section. It is the customer's form and adding a page would alter it. For that one format provenance lives in the tool response and the GAIT record. Say so when you hand the file over.
Prose carries no attribution. A paragraph asserting a bare number gets a caveat naming the block index —
use figure, table or keyvalue instead, all of which force a source. Dates, ticket numbers, IPs,
versions and "Section 2" are not flagged.
status column is refused. An
interface can be administratively up with no carrier, and collapsing them tells a reader traffic is
passing when nothing is.= is written as literal text —
openpyxl would otherwise turn it into a live formula in an auditor's spreadsheet.ok means complete. A document with any gap comes back as written_with_gaps, and you cannot
override that.| Want to… | Use |
|---|---|
| Draw a diagram | drawio-diagram, markmap-viz, uml-diagram, threejs-network-viz. This embeds their output and never redraws it — pass the file they produced plus src naming them |
| Read a document into the knowledge base | rag-mcp (feature 062). It reads these formats; this writes them. Same libraries, opposite direction |
| Create or update a change record | servicenow-change-workflow owns the CR lifecycle. This renders a document from one and never writes a ticket |
| Send the document somewhere | slack-report-delivery, webex-report-delivery. Writing a file is in scope here; sending it is not |
| Compose a NetClaw-shaped report | network-report-documents — the four standard compositions |
unavailable or failed with a real reason.src. It will be refused, and it should be.pdf_inspect_form before pdf_fill_form so you map data to fields that actually exist.written_with_gaps, tell the operator the document is
incomplete and which parts. Handing over a gapped document as if it were finished undoes the whole point.© automateyournetwork, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in workspace/skills/document-generation of automateyournetwork/netclaw.
Open the folder on GitHubat commit 95bb17e
Document Generation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Document Generation this skillautomateyournetwork/netclaw | 674 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Nutrient Document Processingaffaan-m/ECC | 274k | 4 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Nutrient Document Processingaffaan-m/ECC | 274k | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nutrient Document Processingaffaan-m/ECC | 274k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Doc SummarizerBlackBeltTechnology/pi-agent-dashboard | 316 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Nutrient Document Processingxu-xiang/everything-claude-code-zh | 2k | — | ~1.3k | Automated safety check: Pass | MIT |
affaan-m/ECC
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API.
affaan-m/ECC
使用Nutrient DWS API处理、转换、OCR识别、提取、编辑、签名和填写文档。支持PDF、DOCX、XLSX、PPTX、HTML和图像格式。
affaan-m/ECC
Nutrient DWS API を使用してドキュメントの処理、変換、OCR、抽出、編集、署名、フォーム入力を行います。PDF、DOCX、XLSX、PPTX、HTML、画像に対応しています。
BlackBeltTechnology/pi-agent-dashboard
Summarize documents of any size: extract with the document-converter engine, chunk to fit context, fan out to subagents, then synthesize one unified summary.
xu-xiang/everything-claude-code-zh
使用 Nutrient DWS API 进行文档处理、转换、OCR、提取、脱敏、签名以及表单填充。支持 PDF、DOCX、XLSX、PPTX、HTML 和图像格式。
xu-xiang/everything-claude-code-zh
使用 Nutrient DWS API 处理、转换、OCR、提取、脱敏、签名和填充文档。支持 PDF、DOCX、XLSX、PPTX、HTML 和图像。
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Categories
Generate Word (.docx), Excel (.xlsx) and PowerPoint (.pptx) documents and fill existing PDF forms, from real NetClaw data, with per-element provenance and no fabrication. Document Generation is an agent skill from automateyournetwork/netclaw.pptx) documents and fill existing PDF forms, from real NetClaw data, with per-element provenance and no fabrication.
Document Generation fits situations like: tasks that involve PowerPoint presentations; tasks that involve Excel spreadsheets; tasks that involve PDF.
Run `npx skills add automateyournetwork/netclaw --skill document-generation -a claude-code`. Or copy the skill folder (workspace/skills/document-generation in automateyournetwork/netclaw) into .claude/skills/document-generation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add automateyournetwork/netclaw --skill document-generation -a codex`. Or copy the skill folder (workspace/skills/document-generation in automateyournetwork/netclaw) into .agents/skills/document-generation in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add automateyournetwork/netclaw --skill document-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/document-generation, .gemini/skills/document-generation, .github/skills/document-generation and .opencode/skills/document-generation in your project.
SKILL.md names no scripts, command-line tools or credentials: Document Generation is instructions for the agent only.
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.
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.
Document Generation is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Document Generation: Nutrient Document Processing (affaan-m/ECC, 274k stars), Nutrient Document Processing (affaan-m/ECC, 274k stars), Nutrient Document Processing (affaan-m/ECC, 274k stars) and Doc Summarizer (BlackBeltTechnology/pi-agent-dashboard, 316 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
automateyournetwork (a GitHub user) maintains it in automateyournetwork/netclaw, which has 674 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 5, 2026.
Source: automateyournetwork/netclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.