streaming-progress
The streaming-progress skill formats and emits real-time progress events during AI agent execution, providing both human-readable summaries and machine-readable metrics for UI consumption. Use this when tracking multi-stage workflows that require live progress updates, calculating completion percentages, and displaying dynamic feedback to users monitoring project execution across different processing phases.
git clone --depth 1 https://github.com/a5c-ai/babysitter /tmp/streaming-progress && cp -r /tmp/streaming-progress/library/methodologies/automaker/skills/streaming-progress ~/.claude/skills/streaming-progressSKILL.md
# Streaming Progress Emit real-time progress events for streaming UI consumption. ## Agent Progress Streamer - `automaker-progress-streamer` ## Workflow 1. Receive progress event from execution stage 2. Format event with timestamp and stage information 3. Calculate completion percentage 4. Generate human-readable summary 5. Include machine-readable data for UI rendering 6. Emit formatted event ## Inputs - `projectName` - Project name - `featureId` - Feature being tracked - `event` - Progress event with stage, message, data ## Outputs - Formatted streaming event with progress metrics ## Process Files - `automaker-orchestrator.js` - Phase 3 (batch progress) - `automaker-agent-execution.js` - All stages
Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
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This skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues", "process babysitter issues", or wants to find and work on open GitHub issues assigned to a5c-agent in the babysitter repo.