Collaborate: A Claude Code Skill for Structured, Asynchronous Document Writing with Multi-Agent Handoffs
A developer built collaborate, a Claude Code skill that solves the coordination problem when multiple people write a document in separate Claude conversations. Instead of playing “wait, what did you decide on that section?” via Google Docs, the tool enforces a turn‑based workflow: each time a contributor picks up the document, Claude briefs them in plain English — what changed, what the previous person attempted, and what specific input is needed next. When the contributor finishes, the skill snapshots the document, logs the reasoning behind each change, and notifies the next person via Signal or Slack.
Key Features from the Source
- Turn handoff with reasoning capture: Claude produces a plain‑English summary of decisions, attempted approaches, and unresolved questions before passing the document to the next contributor.
- Parallel section ownership: Multiple writers can work on different sections simultaneously without stepping on each other’s changes.
- Structured critique & challenger/defender mode: Support for decision documents where one Claude instance argues for a position and another critiques it.
- Round robin review: Automatically cycles through contributors for sequential feedback.
- Storage: Document snapshots are stored on iCloud or Google Drive.
- Notification via Signal or Slack: Each handoff triggers a message to the next person.
Installation
Install the skill inside a Claude Code session by telling Claude:
install this skill: https://github.com/googlarz/collaborate/raw/main/SKILL.mdThe full repository with documentation is at github.com/googlarz/collaborate.
Who It’s For
Teams already using Claude for writing who need structured, asynchronous collaboration — especially useful for policy docs, design specs, or any document where understanding the why behind changes matters as much as the final text.
📖 Read the full source: r/ClaudeAI
👀 See Also
Nakkas MCP Server Generates Animated SVGs from AI Descriptions
Nakkas is an MCP server where AI constructs complete animated SVG configurations from descriptions, rendering clean animated SVGs with shapes, gradients, animations, and filters. It supports parametric curves, 15 filter presets, CSS @keyframes and SMIL animations, and works anywhere SVG renders.
HomeButler: Zero-token homelab management for OpenClaw agents
HomeButler is a single Go binary that lets OpenClaw agents manage homelab infrastructure without API keys or tokens. It runs locally and keeps all operations on your network.
ReasonDB: Open-Source Document Database Using LLM-Guided Tree Navigation Instead of Vector Search
ReasonDB is an open-source document database that preserves document structure as a hierarchy and uses LLM-guided tree traversal for retrieval instead of vector search. It uses BM25 for initial search, tree-grep for structure filtering, and beam-search traversal where the LLM visits ~25 nodes out of millions.
Creation OS: A Local σ-Gated LLM Runtime That Lets Models Say ‘I Don’t Know’ Instead of Hallucinating
Creation OS wraps local LLMs (BitNet, Qwen, Gemma, any GGUF) with a σ-gate that measures multiple uncertainty channels and decides ACCEPT, RETHINK, or ABSTAIN per output. No cloud, no API. TruthfulQA accuracy improved ~29% via selective regeneration.