菜单
Interact with Paperless-NGX document management system via ppls CLI. Search, retrieve, upload, and organize documents.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/duclm1x1/Dive-Ai --skill paperless命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
正在显示 SKILL.md
| name | paperless |
| description | Interact with Paperless-NGX document management system via ppls CLI. Search, retrieve, upload, and organize documents. |
| emoji | 📄 |
| metadata | {"clawdbot":{"requires":{"bins":["ppls"],"env":["PPLS_HOSTNAME","PPLS_TOKEN"]},"install":[{"id":"node","kind":"node","package":"@nickchristensen/ppls","bins":["ppls"],"label":"Install ppls CLI (npm/bun)"}]}} |
Search and manage documents in Paperless-NGX using ppls.
npm install -g @nickchristensen/ppls
ppls config set hostname http://your-paperless-host
ppls config set token your-api-token
# By name
ppls documents list --name-contains "invoice" --json
# By date range
ppls documents list --created-after 2024-01-01 --created-before 2024-12-31 --json
# By tag (OR — any of these tags)
ppls documents list --tag 5 --tag 12 --json
# By tag (AND — must have all)
ppls documents list --tag-all 5,12 --json
# Exclude tags
ppls documents list --tag-not 3 --json
# By correspondent
ppls documents list --correspondent 7 --json
# By document type
ppls documents list --document-type 2 --json
# Documents missing metadata
ppls documents list --no-correspondent --json
ppls documents list --no-tag --json
# Recently added/modified
ppls documents list --added-after 2024-06-01 --json
ppls documents list --modified-after 2024-06-01 --json
# Combine filters
ppls documents list --correspondent 7 --created-after 2024-01-01 --tag 5 --json
# Get full document details (includes OCR content)
ppls documents show 1234 --json
# Download single document
ppls documents download 1234 --output ~/Downloads/doc.pdf
# Download multiple documents
ppls documents download 1234 5678 --output-dir ~/Downloads
# Download original (pre-processed) version
ppls documents download 1234 --original
# Simple upload (Paperless auto-processes)
ppls documents add scan.pdf
# With metadata
ppls documents add receipt.pdf \
--title "Store Receipt" \
--correspondent 5 \
--document-type 2 \
--tag 10
# List tags/correspondents/document-types
ppls tags list --json
ppls correspondents list --json
ppls document-types list --json
# Create new
ppls tags add "Tax 2024" --color "#ff0000"
ppls correspondents add "New Vendor"
ppls document-types add "Contract"
# Update document metadata
ppls documents update 1234 --title "New Title" --correspondent 5 --tag 10
--json for AI/automation — it's the most parseable formatYYYY-MM-DD or full ISO 8601list --json commands to find them--tag 1 --tag 2 or --tag 1,2 both work--page and --page-size for large result sets