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daily-synthesis

Process new UI feedback entries and enrich them with Score API data.

Updated Feb 17, 2026
Search Tags:#feedback#provenance#event-bus#canvases#daily-synthesis#score-api#mer-timeline
One-click install
npx skills add https://github.com/0xHoneyJar/construct-observer --skill daily-synthesis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: daily-synthesis
Source: https://github.com/0xHoneyJar/construct-observer/tree/main/skills/daily-synthesis
Command: npx skills add https://github.com/0xHoneyJar/construct-observer --skill daily-synthesis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This workflow automates the end-to-end processing of UI feedback by pulling new entries, enriching data with scores, and surfacing synthesized insights on a daily cadence.

Core Features & Use Cases

  • Automated daily intake: detects new UI feedback since the last run and processes it without manual prompts.
  • Score enrichment & classification: enriches each unique wallet with Score API data and classifies signals by weight and type.
  • Canvas routing & synthesis: routes signals to existing canvases or auto-creates new canvases, and generates a consolidated synthesis report for review.
  • Event-driven insights: consumes event-bus signals and MER timeline data to augment the synthesis with broader context.

Quick Start

Run the daily-synthesis skill to process new UI feedback and produce the latest synthesis report.

Frequently Asked Questions about daily-synthesis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate daily UI feedback synthesis for leadership review?▼

Automate daily UI feedback synthesis by processing new entries, enriching them with Score API data, and routing classified signals to canvases to generate a consolidated report. It detects new feedback automatically on a daily cadence without manual prompts.

What is the best way to enrich wallet feedback data with Score API data before classification?▼

The best way to enrich wallet feedback data is to use an automated pipeline that pulls unique wallets and queries the Score API. This enriches each entry with scores before classifying signals by weight and type for canvas routing.

How does event-bus signal processing work with MER timeline data for feedback analysis?▼

Event-bus signal processing works by consuming event-bus signals and MER timeline data to augment feedback synthesis with broader context. This ensures the final consolidated report captures both direct UI feedback and wider system events.

Do I need Supabase queries and a provenance gate to maintain feedback traceability?▼

Yes, you need Supabase queries to pull new UI feedback entries and a deterministic provenance gate to maintain traceability. These components ensure every processed feedback entry remains auditable from intake to final synthesis report.

Can I auto-create canvases when classifying new UI feedback signals?▼

Yes, you can auto-create canvases when classifying new UI feedback signals. The workflow routes enriched signals to existing canvases or automatically creates new ones based on the classified weight and type of the feedback.

Does daily feedback synthesis work on demand or only on a scheduled daily cadence?▼

Daily feedback synthesis works on both a scheduled daily cadence and on demand. This flexibility allows you to process new UI feedback entries immediately when needed or rely on the automated daily intake for routine reporting.

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