Streaming Progress

Emit real-time progress events for streaming UI consumption.

509 stars

Best use case

Streaming Progress is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Emit real-time progress events for streaming UI consumption.

Teams using Streaming Progress should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/streaming-progress/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/methodologies/automaker/skills/streaming-progress/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/streaming-progress/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Streaming Progress Compares

Feature / AgentStreaming ProgressStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Emit real-time progress events for streaming UI consumption.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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