← ClaudeAtlas

cf-cowork-setuplisted

One-shot setup that wires ContentForge for team usage in Anthropic Cowork — verifies the Cowork sandbox environment, checks a Google Drive MCP is connected, creates the canonical Drive folder layout (_brands/, _runs/), and persists the team's routing config so .docx outputs, brand profiles, and checkpoints land in shared Drive instead of the ephemeral sandbox. Triggers on "/contentforge:cf-cowork-setup", "set up ContentForge in Cowork", "our files aren't landing in Drive", "wire outputs to our shared Drive", "first-time Cowork install". Runs scripts/plugin-metadata.py for environment detection, writes config via scripts/drive-sync-state.py, and can chain into /contentforge:brand-setup with --brand. Setup only — it does not migrate existing local brands and changes nothing in local Claude Code.
teachskillofskills-ai/ContentForge-techshu · ★ 1 · AI & Automation · score 75
Install: claude install-skill teachskillofskills-ai/ContentForge-techshu
# /contentforge:cf-cowork-setup The one-time setup that makes ContentForge usable in Cowork by a team. Wires up the Cowork → Drive routing so generated `.docx` files, brand profiles, and run records actually persist somewhere the team can reach. ## Why this skill exists Cowork is the most user-friendly Anthropic surface for non-CLI users — marketers, content teams, agency staff. The natural team workflow is "everyone uses Cowork; outputs live in our shared Google Drive". But ContentForge's filesystem layer was originally designed for local Claude Code (writes to `~/Documents/ContentForge/` on the host). In Cowork that path is the Linux sandbox — gone at session end, invisible to the team. v3.12.9 fixed this with environment-aware routing: when Cowork is detected AND a Drive MCP is configured, the output-manager agent uploads to Drive instead. This skill is the one-shot setup that ensures both conditions are true before you start producing real content. ## Behavior ### Step 1 — Verify Cowork environment ```bash python scripts/plugin-metadata.py --section environment ``` Parse the JSON. Four branches: **`environment == "cowork-sandbox"`** — Proceed to Step 2. **`environment == "linux-sandbox-uncertain"`** — Detection found only weak signals (e.g., a container marker plus a Docker-style username), not a confirmed Cowork session marker. Tell the user: "Sandbox detection was uncertain — proceeding with Cowork setup to be safe. If this isn't actually Cowork, the Drive-MCP