Collection ai-assistant

Top AI Assistant Workflow Tools for Developers

A practical collection of AI assistant tools, skills, and integrations for daily developer workflows. Compare companion tooling for code, docs, automation, and team operations across modern assistant ecosystems.

This page is built for developers who use AI assistants as part of real delivery workflows. It highlights practical skills, integrations, and companion tools that help with coding tasks, documentation quality, release checks, and team coordination. MCP integrations can be included where useful, but the focus stays on productive workflows and reliable execution in day-to-day engineering.

pair-capability-setup-pm

foomakers

pair is the process layer for AI-assisted development. It gives your AI assistant the context, guidelines, and skills to work the way your team works.

★ 0

⑂ 0

pair-capability-manage-flags

foomakers

Manages feature flag lifecycle: creation, activation, deactivation, and cleanup. Follows feature-flags guidelines. Idempotent: detects existing flags, shows current state, offers lifecycle actions rat

★ 0

⑂ 0

debug

qwibitai

Debug container agent issues. Use when things arent working, container fails, authentication problems, or to understand how the container system works. Covers logs, environment variables, mounts, and

★ 24.7k

⑂ 0

add-whatsapp

qwibitai

Add WhatsApp as a channel. Can replace other channels entirely or run alongside them. Uses QR code or pairing code for authentication.

★ 20.5k

⑂ 0

pdf-reader

qwibitai

Read and extract text from PDF files — documents, reports, contracts, spreadsheets. Use whenever you need to read PDF content, not just when explicitly asked. Handles local files, URLs, and WhatsApp a

★ 19.9k

⑂ 0

setup

qwibitai

Run initial NanoClaw setup. Use when user wants to install dependencies, authenticate messaging channels, register their main channel, or start the background services. Triggers on setup, install, con