“document processing”

Use when writing or improving technical documentation, API references, runbooks, onboarding guides, READMEs, changelogs, ADRs, release notes, or any content…

Record changes in either a PR, issues, docs, or chat output

Draft, rewrite, audit, and refine text through a specific writing persona using a multi-pass workflow.

Review a technical document (RFC, solution design, process doc, policy, etc.) for audience fit, substance, writing style, grammar, structure, scannability…

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms.

Draft a process letter or bid instructions — usage: /process-letter [IOI or final bid]

Prepare, publish, inspect, and merge pull requests in this repository.

Document code APIs, modules, and behavior.

PDF processing: read, extract text/tables, merge, split, fill forms, OCR scanned PDFs.

Measure mesh files against Design for Additive Manufacturing (DfAM) rules and report printability findings per process (FDM, SLS, SLA/DLP, metal PBF, MJF).

Read, create, and edit Word (.docx) documents

Use when writing engine README, install, and configuration docs.

Transform any DOCX document with world-class brand styling.

Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via `lark-cli event consume <EventKey>` (covers IM…

Process large command, test, log, API, document, data, browser, or MCP output

Add comprehensive GoDoc comments to exported symbols

Produces or edits office files — .docx, .pptx, .xlsx, .pdf — from markdown or structured content via python-docx/python-pptx/openpyxl/pandoc.

Use ONLY when the literal text "/document-app" appears in the request or instructions — never otherwise, whatever the task.

Full docs pack (readme-pack + architecture-doc).

Write and publish ONE documentation page about something that already ships - a user manual, a process and flow page, a release note, a runbook, or a rules…

Parallel processing with joblib for grid search and batch computations.

Index-type selection and shape guidance for Azure DocumentDB — when to use single-field, compound (ESR), multikey, wildcard, hashed, 2dsphere, TTL, and vector…

Horizontal sharding (partitioning) for Azure DocumentDB collections — when to shard vs stay single-shard, how to pick a shard key for read-heavy vs…

Detect indirect prompt injection (goal hijack).