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Generate content in each team member's voice with adaptive voice learning via WhatsApp.
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Basado en la clasificación ocupacional SOC
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| 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"] |
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.
Short-form content (150-300 words). Direct, insight-driven, observation-first. Trigger: "write a post about...", "linkedin post about..."
Ultra-short content (1-10 sentences). Punchy, quotable, single-insight format. Trigger: "write a note about...", "substack note about..."
Direct message (2-5 sentences). Warm but direct outreach, no generic templates. Trigger: "write a message to...", "linkedin message to...", "reach out to..."
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.
The system learns your writing style over time through two mechanisms:
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.
After receiving generated content, reply:
keep
This saves the content as an accepted voice sample.
my voice
Shows how many samples you have and when they were last analyzed.
profiles/<name>/samples.json (auto-created)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 submittedSee profiles/example/ for template files.
content-writer generate "<message>" "<sender-phone>"
content-writer test
Required environment variables:
ANTHROPIC_API_KEY — Claude API for generation + humanizer + voice analysisBRAVE_SEARCH_API_KEY — Brave Search for topic research (optional but recommended)