Batch document processor with parallel workers and resume checkpoints
Convert, transform, extract or analyze hundreds of files with parallel execution, progress bars, checkpointing and failure logging
- What
- Convert, transform, extract or analyze hundreds of files with parallel execution, progress bars, checkpointing and failure logging
- Cost
- Free
- Needs
- Python 3 with pip install python-docx openpyxl python-pptx reportlab jinja2 tqdm (for the document conversions and progress bars); the skill is otherwise a prompt guide — the referenced office-mcp server likely doesn't exist in your setup, ignore that part
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Curated by Skill Harbor — @claude-office-skills' bulk document-processing skill: convert, transform, extract or analyze hundreds of files with parallel execution and progress tracking. The core is a ready-to-adapt Python pattern — `ProcessPoolExecutor` fan-out over a glob of files with `tqdm` progress bars, per-file result/error records, plus a `BatchProcessor` class with a JSON checkpoint file so long jobs skip already-processed files and resume after interruption. Best practices: progress bars for user feedback, checkpointing for long jobs, worker counts matched to CPU cores, logging failures for later review. Example tasks: convert 100 PDFs to Word, extract text from all images in a folder, batch rename and organize files, mass-update document headers/footers. Installation notes a `pip install python-docx openpyxl python-pptx reportlab jinja2`. Honest caveats: the SKILL.md header references an `office-mcp` MCP server (`batch_convert`) that likely does not exist in your setup — the reusable value here is the prompt guide and the Python code, not that integration; works in English and Chinese. MIT-licensed. Skill Harbor never reviews the code, review it yourself before use. Discovered via skills.sh.
Version:
Install
Prerequisites: Python 3 with pip install python-docx openpyxl python-pptx reportlab jinja2 tqdm (for the document conversions and progress bars); the skill is otherwise a prompt guide — the referenced office-mcp server likely doesn't exist in your setup, ignore that part Install "Batch document processor with parallel workers and resume checkpoints" for me. It gives my agent @claude-office-skills' bulk-processing playbook: parallel file processing with ProcessPoolExecutor and tqdm, per-file result/error records, a checkpoint-based BatchProcessor class for resume-safe long jobs, best practices (progress bars, worker counts, failure logging), and example tasks (bulk PDF-to-Word, text extraction, batch renames, mass header/footer updates). MIT-licensed. Repository: https://github.com/claude-office-skills/skills/blob/main/batch-processor/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "batch-processor". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. pip-install the document libraries, then describe the batch task and point the agent at the folder). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.