contentforge

Solid

Produce publication-ready, fact-checked, brand-aligned content via 10-phase autonomous pipeline. Use for any content need.

AI & Automation 17 stars 6 forks Updated today MIT

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Skill Content

# ContentForge — Enterprise Content Production Transform a content requirement into a publication-ready, fact-checked, brand-compliant, SEO-optimized piece through a 10-phase autonomous agent pipeline (plus Step 0.5 title curation) with three-layer fact verification and 10 quality gates. ## Context efficiency Pipeline phase. **Grep before Read** for `references/`, `humanization-patterns.json`, brand voice profiles. Hand subagents artifact **file paths** plus a ≤10-line summary — never reload or inline full drafts (see Context & Handoff Rules). On `/contentforge:resume`, load `run.json` plus only the artifacts the next phase contractually needs. ## Execution Protocol (CRITICAL — read first) This skill orchestrates 10 phases plus Step 0.5 (Title Curation). **Each numbered phase MUST be executed by invoking its dedicated subagent via the `Task` tool — DO NOT generate the deliverable yourself in a single inference pass.** A single-pass generation skips the quality gates, fact-checking layers, humanizer 29-pattern catalog, and reviewer scoring that define ContentForge. The one exception is Step 0.5: title curation is performed **inline by the orchestrator** (no subagent), because it requires user interaction and subagents must never wait on the user. Any subagent that needs a user decision returns a `{"status": "needs_user_decision", ...}` payload to the orchestrator, which owns all user interaction (including image-generation opt-in/approval). ### Step 0 — Initialize the r...

Details

Author
indranilbanerjee
Repository
indranilbanerjee/contentforge
Created
5 months ago
Last Updated
today
Language
Python
License
MIT

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