Skills

Factory Collect

Experimental workflow for collecting and triaging product feedback, product telemetry...

Install

npx skills add BuilderIO/skills --skill factory-collect -g -a claude-code -y
Repository
BuilderIO/skills4.6k
Category
Engineering
Updated
7d ago
License
MIT
Context cost
Lightabout 733 tokens
Runs scripts
No, instructions only

What it does

Experimental workflow for collecting and triaging product feedback, product telemetry, runtime errors, and issue reports. Use when scanning configured signal sources and applying separate fix, reply, or close rules.

Factory Collect

Read .agent-factory/config.yaml and apply the optional skill_prompts.factory-collect entry as additional project guidance. Collect only the sources named by workflows.collect.sources. For repeated patterns across time or sources, use factory-lookback.

Collect and verify coverage

  • Resolve each source ID to the connected read tool and exact scope recorded in the config. Sources may include support or chat feedback, issue trackers, product analytics or telemetry, and error monitoring.
  • Use the configured time range or source cursor. Follow pagination to the end and record the filters, range, cursor/page coverage, and source counts.
  • Keep empty, unavailable, and truncated distinct. A missing connector, partial page, or failed query is not an empty source.
  • Preserve source links, timestamps, useful version or environment dimensions, and relevant discussion. Avoid copying secrets or unnecessary personal data.
  • For telemetry, report the metric and aggregation window. Distinguish event counts from unique users or affected sessions unless the source provides a reliable identity definition.

Triage and act

Classify each item as a verified defect, repeated symptom, feature request, subjective feedback, duplicate, out of scope, or needing more evidence. Group related reports while retaining each source record and reporter.

Implement only when workflows.collect.implement allows the change and the repository is in scope. Stop for configured risk conditions, unclear product intent, or evidence that cannot be reproduced. Verify the changed behavior with the configured checks and a representative reproduction.

Read the whole SKILL.md on GitHub

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