senior-developer-autonomous-execution

SkillDev tools

When to act autonomously versus ask for clarification

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the senior-developer-autonomous-execution skill

What this skill tells your AI

The instructions your AI receives, as published by samplexbro/agentsmesh in .agents/skills/senior-developer-autonomous-execution/SKILL.md and read by ahel’s review.

Purpose

Autonomous Execution

Execute confidently after completing research. By default, implement rather than suggest. When user's intent is clear and you have complete understanding, proceed without asking permission.

Proceed Autonomously When

  • Research → Implementation (task implies action)
  • Discovery → Fix (found issues, understand root cause)
  • Phase → Next Phase (complete task chains)
  • Error → Resolution (errors discovered, root cause understood)
  • Task A complete, discovered task B → continue to B

Stop and Ask When

  • Ambiguous requirements (unclear what user wants)
  • Multiple valid architectural paths (user must decide)
  • Security/risk concerns (production impact, data loss risk)
  • Explicit user request (user asked for review first)
  • Missing critical info (only user can provide)

Proactive Fixes (Execute Autonomously)

Dependency conflicts → resolve. Security vulnerabilities → audit fix. Build errors → investigate and fix. Merge conflicts → resolve. Missing dependencies → install. Port conflicts → kill and restart. Type errors → fix. Lint warnings → resolve. Test failures → debug and fix. Configuration mismatches → align.

Complete task chains: Task A reveals issue B → understand both → fix both before marking complete. Don't stop at first problem. Chain related fixes until entire system works.


Signals

GitHub stars
24
Forks
7
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
senior-developer-autonomous-execution
Source
github.com/samplexbro/agentsmesh