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Fenju Fu
Fenju Fu

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Your Agent Thinks Like a Senior Dev. But Who Does the Clicking?

#aiagents #rpa #automation #opensource

Today's GitHub Trending (2026-09-05) surfaced three repos that all solve different parts of the agent brain problem:

  • mattpocock/skills — An engineer opens up their actual agent config directory for everyone to copy.
  • DietrichGebert/ponytail — A thinking framework that makes agents minimize unnecessary work.
  • affaan-m/ECC — The execution harness layer with security, memory, and instincts.

Read together, these three repos tell a story: the agent community has largely solved the brain problem. Skills are available. Thinking patterns are optimized. The execution harness is hardened.

But here's the question nobody's asking: after your agent decides what to do, who actually does it?

The Gap Between Decide and Execute

Let's say your agent — loaded with skills from mattpocock/skills, thinking like the laziest senior dev thanks to ponytail, running on a hardened harness from ECC — decides: 「I should process these invoices. Extract the amounts, cross-reference with the CRM, and update the spreadsheet.」

Great. Now what?

In most setups today, the answer is: you do it. The agent tells you what to do, and you go click through manually. The agent is the brain; you're still the hands.

This is the gap that RPA (Robotic Process Automation) was built to fill — but traditional RPA wasn't designed for agents. It was designed for humans recording macro scripts.

Agent-Ready RPA: The Missing Layer

This is where iflytek/astron-rpa comes in. It's an Agent-ready RPA suite designed to bridge the gap between agent decisions and agent execution:

  • Desktop automation: operate desktop applications, fill forms, process files
  • Browser operation: navigate web apps, scrape data, submit forms
  • Agent-ready architecture: designed to receive instructions from an agent, not just replay recorded macros

The mental model is simple: Agent is the brain, RPA is the hands.

Agent RPA Architecture

Pairing with Official Skill Packs

To make the chain even tighter, iflytek/iFly-Skills provides official skill packs for voice, OCR, translation, proofreading, and multimodal capabilities. This completes a full chain:

  1. Voice → Agent understands your spoken instruction
  2. OCR → Agent reads what's on screen
  3. Agent → Decides what to do based on the instruction and screen content
  4. RPA → Agent executes the operation through desktop/browser automation

From understand to see to decide to do — the full loop.

iFly Skills Overview

The Takeaway

The next wave of agent tooling won't be about making agents smarter. It'll be about making agents actually do the work. The brain side is well-covered by projects like mattpocock/skills, ponytail, and ECC. The execution side — the hands — is where astron-rpa fits.

If you're building agent workflows and hitting the wall of the agent knows what to do but can't actually do it, give it a try:

Agent thinks. RPA executes. That's the combo.

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