content-writer

name	content-writer
description	Generate content in each team member's voice with adaptive voice learning via WhatsApp.
version	1.2.0
author	GroundUp Toolkit
actions	["generate","test"]

Content Writer

WhatsApp-triggered content generation that writes in each team member's authentic voice. Supports LinkedIn posts, Substack notes, LinkedIn messages, and newsletters. Uses per-member voice profiles, audience data, and brand context combined with web research and a humanizer pass.

Voice Learning: The system gets smarter over time. Submit writing samples and accept generated content to build an adaptive voice profile that improves with every interaction.

Content Types

LinkedIn Post

Short-form content (150-300 words). Direct, insight-driven, observation-first. Trigger: "write a post about...", "linkedin post about..."

Substack Note

Ultra-short content (1-10 sentences). Punchy, quotable, single-insight format. Trigger: "write a note about...", "substack note about..."

LinkedIn Message

Direct message (2-5 sentences). Warm but direct outreach, no generic templates. Trigger: "write a message to...", "linkedin message to...", "reach out to..."

Newsletter / Article

Long-form thought leadership (800-1500 words). Subject line options, sectioned headers, skim-optimized. Trigger: "write a newsletter about...", "write an article about..." Delivered via WhatsApp preview + full version by email.

Hebrew messages produce Hebrew output with English tech terms.

Voice Learning

The system learns your writing style over time through two mechanisms:

Submit Writing Samples

Send examples of your existing writing to teach the system your voice:

voice sample: [paste your post/article/message here]

Send at least 2-3 samples for the system to start learning patterns.

Accept Generated Content

After receiving generated content, reply:

keep

This saves the content as an accepted voice sample.

Check Your Voice Profile

my voice

Shows how many samples you have and when they were last analyzed.

How It Works

• Samples stored in profiles/<name>/samples.json (auto-created)
• When 2+ samples exist, Claude Haiku extracts a style fingerprint
• The fingerprint + up to 2 raw examples are included in every generation prompt
• Max 20 samples per member (oldest pruned, accepted content prioritized)

Profile Structure

Each team member needs a directory under profiles/<first_name>/ with:

• voice.json — Voice DNA (tone, style, phrases, boundaries)
• audience.json — Target audience (pain points, language, aspirations)
• brand.json — Business context (positioning, differentiators, offerings)
• samples.json — Auto-created when voice samples are submitted

See profiles/example/ for template files.

Actions

generate

content-writer generate "<message>" "<sender-phone>"

test

content-writer test

Configuration

Required environment variables:

• ANTHROPIC_API_KEY — Claude API for generation + humanizer + voice analysis
• BRAVE_SEARCH_API_KEY — Brave Search for topic research (optional but recommended)