skills.rest
vTRKA
vTRKACOMMUNITY
Explore all skills by this author →
GitHub

autonomous-agent-loop

Orchestrate goal-bounded autonomous loops with evidence receipts and stop conditions.

Updated Apr 27, 2026
Search Tags:#autonomous agents#multi-agent workflows#execution orchestration#verification gating#evidence receipts#scope safety#state resume
One-click install
npx skills add https://github.com/vTRKA/supervibe --skill autonomous-agent-loop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: autonomous-agent-loop
Source: https://github.com/vTRKA/supervibe/tree/main/skills/autonomous-agent-loop
Command: npx skills add https://github.com/vTRKA/supervibe --skill autonomous-agent-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill prevents long autonomous coding sessions from going off-scope or ending without trustworthy evidence by keeping a goal-bounded controller loop with receipts, state persistence, and explicit stop conditions.

Core Features & Use Cases

  • Goal-bounded loop control: Converts approved scope into a ready task graph, dispatches bounded workers, and continues until completion, blockage, pause, or stop.
  • Evidence-first reconciliation: Records durable runtime receipts and workflow state, then reconciles outcomes and blocks completion unless required verification and reviewer coverage are present.
  • Scope safety and drift guards: Enforces include/defer/reject/spike classification, compares plan/PRD hashes against a goal source drift guard, and prevents non-dry work without policy/readiness gates and user intent.

Quick Start

Use autonomous-agent-loop when you need the AI to keep executing a user-approved, goal-until-complete plan while producing evidence and safe stop behavior for a long worktree or multi-agent session.

Frequently Asked Questions about autonomous-agent-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I keep autonomous agents from going off-scope during long coding sessions?▼

Autonomous agent loops prevent scope drift by enforcing a goal-bounded controller that compares plan hashes against the approved goal source and applies include, defer, reject, or spike classifications before dispatching workers.

What is evidence-backed task verification for multi-agent workflows?▼

Evidence-backed verification requires durable runtime receipts and workflow state to reconcile outcomes, blocking task completion unless required verifier and reviewer coverage records are present.

How do I safely run goal-until-complete execution for epic worktree sessions?▼

You run goal-until-complete execution by using a controller-driven loop that dispatches bounded workers with disjoint write-set rules, continuing progression until completion, blockage, pause, or an explicit stop condition.

Can I resume multi-agent execution state after a pause or budget stop?▼

Yes, autonomous execution loops support state resume by persisting durable runtime receipts and workflow state, allowing the goal-bounded controller to safely resume work after policy or budget stops.

When should I not use a controller-driven autonomous agent loop?▼

You should avoid using a controller-driven autonomous loop for non-dry work that lacks policy and readiness gates, as the system requires explicit user intent and readiness guards to safely dispatch scoped workers.

Related Skills

Explore More Software Engineering Skills→
suriyelsuriyel
178

long-task-init

Scaffold project artifacts and decompose SRS requirements into verifiable features.

Community
Advanced
catlog22catlog22
76

maestro-session-seal

Seal completed Maestro sessions by validating readiness and reconciling knowledge candidates.

Community
Advanced
AAbdulghanyAAbdulghany

spike-close

Close spike tickets by applying PROMOTE or DISCARD disposition gates.

Community
Advanced
t-udat-uda

light-orchestration

Determine whether to execute a task directly or decompose it into a bounded multi-agent plan.

Community
Intermediate