batch-process
Produce multiple content pieces as a sequential, checkpointed queue — each piece runs the full 10-phase ContentForge pipeline with all 10 quality gates, sorted…
Set up a specific MCP connector from the ContentForge registry with step-by-step instructions tailored to its transport — verified endpoint URL for HTTP connectors, env vars plus a ready-to-paste .mcp.json entry for npx connectors, credential acquisition guidance, and post-setup
$ npx -y skills add indranilbanerjee/contentforge --skill cf-connect --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cf-connectContext preview
The summary Claude sees to decide when to auto-load this skill.
Set up a specific MCP connector from the ContentForge registry with step-by-step instructions tailored to its transport — verified endpoint URL for HTTP connectors, env vars plus a ready-to-paste .mcp.json entry for npx connectors, credential acquisition guidance, and post-setup
name: cf-connect description: "Set up a specific MCP connector from the ContentForge registry with step-by-step instructions tailored to its transport — verified endpoint URL for HTTP connectors, env vars plus a ready-to-paste .mcp.json entry for npx connectors, credential acquisition guidance, and post-setup verification. Triggers on \"/contentforge:cf-connect\", \"connect WordPress\", \"set up the Notion connector\", \"how do I add Google Sheets\", \"a skill says a connector is missing\". Status always comes from scripts/connector-status.py (never memory) and endpoints from .mcp.json.connectors-reference; fuzzy-matches names like wp or gsheets. Setup guidance only — for services not in the registry it hands off to /contentforge:cf-add-integration, and /contentforge:cf-integrations shows the full status dashboard." argument-hint: "[connector-name]" effort: low
Set up a specific MCP integration for ContentForge with step-by-step instructions tailored to the connector's transport type. Handles HTTP connectors (OAuth-based), npx connectors (API keys, environment variables, `.mcp.json` entry), unknown connector names (fuzzy matching), and post-setup verification.
ContentForge ships with an **empty `.mcp.json`** (`"mcpServers": {}`). This is deliberate (v3.9.0 Cowork-safety decision): no connector auto-connects when the plugin is installed. **Every connector is opt-in** — the user adds it to `.mcp.json` (or connects it at the platform level in Cowork/Desktop Settings → Integrations).
Never claim a connector is pre-wired or already connected. All status claims must come from running `python scripts/connector-status.py` — never from this file or from memory.
Use `/contentforge:cf-connect <name>` when:
1. **Look Up Connector** — Find the connector in the registry, handle typos and close matches 2. **Check Current Status** — Determine if already configured or needs setup 3. **Present Setup Instructions** — Tailored to transport type (HTTP vs npx) 4. **Guide Credential Acquisition** — Where to get API keys, which permissions to set 5. **Provide .mcp.json Entry** — Ready-to-paste configuration 6. **Verify After Setup** — Confirm environment variables are set and configuration is valid
**Required:**
**Optional:**
Run the setup guide lookup:
python scripts/connector-status.py --action setup-guide --name <connector>
This returns:
**If the connector name is not found**, check common aliases before showing an error:
| Input | Matches To | |-------|-----------| | `wp`, `wordpress` | `wordpress` | | `gsheets`, `sheets`, `google-sheets` | `google-sheets` | | `gdrive`, `drive`, `google-drive` | `google-drive` | | `ga`, `ga4`, `google-analytics` | `google-analytics` | | `gsc`, `search-console` | `google-search-console` | | `gcal`, `calendar` | `google-calendar` | | `x`, `twitter` | `twitter-x` | | `li`, `linkedin` | `linkedin-publishing` | | `ig`, `insta` | `instagram` | | `hs`, `hubspot` | `hubspot-cms` | | `sarvam` | `sarvam-ai` |
If no match is found after alias lookup, run `python scripts/connector-status.py --action list-available` and present the actual list.
python scripts/connector-status.py --action check --name <connector>
This returns `connected` or `not_connected`, plus (for npx connectors) which env vars are set vs missing. Render exactly what the script reports.
**If already configured:** confirm to the user, list the skills it enables (from the script JSON), and stop — no action needed.
**If not configured, proceed to Step 3.**
Instructions differ based on transport type. Both types require the user to add an entry to `.mcp.json` (or connect at the platform level) — nothing is pre-wired.
HTTP connectors are the easiest: one `.mcp.json` entry, no API keys for OAuth-based ones, and they work in **both Cowork and Claude Code**.
Setup pattern to walk the user through:
1. **Get the verified endpoint URL.** Use the endpoint from the setup-guide script output, cross-checked against `.mcp.json.connectors-reference` (the plugin's catalog of verified HTTP endpoints). Do not guess endpoint URLs from memory — unverified URLs waste the user's time. 2. **Add the entry to `.mcp.json`** in the plugin root:
"notion": {
"type": "http",
"url": "<verified endpoint from the reference file>"
}In Cowork/Claude Desktop, the platform-level integration (Settings → Integrations) may be simpler — mention it when available. 3. **Restart the session** so the new entry is picked up. 4. **Authorize on first use.** The first time a skill accesses the connector, the platform shows an OAuth prompt. Sign in and gr
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