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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/streaming-progress/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Streaming Progress Compares
| Feature / Agent | Streaming Progress | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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
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