cogpy
Official@cogpy
A comprehensive library of terminal-based integrations for managing enterprise productivity, cloud services, media hardware, and local machine learning inference environments.
Agent Skills by cogpy
Showing 67 vetted skills indexed across 2 GitHub repositories.
cogpyExtract text, tables, and form data from PDFs using PyPDF2, pdfplumber, and tabula-py.
cogpybolt-cpp-ml
Build, test, and deploy C++ machine learning applications with web and local inference.
cogpybolt-cpp-ml-bolt-new
Build full-stack AI web applications in a browser-based IDE.
cogpybolt-cpp-ml-jan
Create and set up TypeScript extensions for bolt-cpp-ml.
cogpybolt-cpp-ml-koboldcpp (within bolt-cpp-ml)
Deploy GGUF large language models locally with OpenAI-compatible, KoboldAI, and SD API endpoints.
cogpybolt-cpp-ml-cpp-e2e-test-gen
Generate end-to-end unit tests for C++ codebases using Python and CMake.
cogpyprepare-pr
Rebase GitHub pull requests onto main, apply review fixes, and run automated gates.
cogpyreview-pr
Review GitHub pull requests for quality, security, tests, and documentation.
cogpymerge-pr
Merge prepared GitHub pull requests via squash after validation.
cogpyLobster Workflow
Execute JSON-first pipelines with approval checkpoints and resumable operations.
cogpyprose
Define and execute multi-agent workflows with the OpenProse declarative language.
cogpyfeishu-perm
List, add, and remove Feishu document collaborators via email or openid.
cogpyfeishu-wiki
Manage and navigate Web3Press blog posts, including creating, editing, and deleting content.
cogpyfeishu-drive
Manage Feishu cloud storage files and folders with token extraction.
cogpyfeishu-doc
Create, read, update and manage Feishu documents and their blocks programmatically.
cogpynano-pdf
Edit specific pages within PDF documents using natural-language instructions via the nano-pdf CLI.
cogpyhimalaya
Manage emails via IMAP/SMTP from the command line.
cogpybear-notes
Manage Bear notes on macOS using the grizzly CLI tool.
cogpypeekaboo
Automate macOS UI interactions via command-line interface.
cogpymodel-usage
Summarize local cost usage per AI model from CodexBar logs.
cogpyblogwatcher
Monitor blogs and RSS/Atom feeds for new content using the blogwatcher CLI.
cogpydiscord
Manage Discord servers by sending messages, moderating users, and handling channels.
cogpycoding-agent
Execute AI coding assistants like Codex and Claude Code in background processes.
cogpyopenhue
Control Philips Hue lights and scenes via the openhue-cli command-line interface.
Frequently Asked Questions About cogpy
FAQPage SchemaWhat specific tasks can I perform with these terminal-based integrations?▼
You can manage GitHub pull requests, control smart home devices like Philips Hue or Sonos, perform CRUD operations on Notion and Trello, and execute local machine learning tasks such as audio transcription and GGUF model inference.
Who is the target persona for these command-line interfaces?▼
These interfaces are designed for power users, software engineers, and system administrators who prefer terminal-based environments for managing cross-platform services, document repositories, and local hardware without relying on graphical user interfaces.
What are the prerequisites for running these terminal-based modules?▼
Most modules require a Unix-like environment, standard terminal emulators, and specific binary dependencies such as ffmpeg, jq, or gh. Some modules require valid authentication tokens for services like GitHub, Feishu, or OpenAI.