letters-desk

To draft citizen letters with continuity, this Skill cross-references briefing data against canonical details and returning citizens, ensuring a believable ongoing conversation across editorial outputs. It produces 2-4 letters per briefing that reflect diverse neighborhoods while maintaining narrative consistency.

Generating authentic first-person voices for local journalism requires creating citizen profiles with Name, Age, Neighborhood, and Occupation. This Skill uses these diverse perspectives to produce 100-200 word letters reacting to specific city-news stories, reflecting real Oakland residents' voices.

Yes, you can use editorial briefing materials to produce multiple letters with tone variety. The Skill processes briefing data to output 2-4 letters per briefing, ensuring diverse voices and perspectives while satisfying constraints around word count and canonical references.

Yes, this citizen letter drafting tool enforces word count limits for archival storytelling by constraining each letter to 100-200 words. It performs canon-reference checks against briefing data to ensure compliance and continuity for editorial desks.

To add new citizen perspectives to an ongoing neighborhood narrative, the Skill supports creating new citizens with Name, Age, Neighborhood, and Occupation attributes. This generates diverse voices for first-person letters reacting to specific city-news stories.