flaky-skill

Automate retry handling for flaky tools in automated workflows.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/keshrisohit/omniforge --skill flaky-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: flaky-skill
Source: https://github.com/keshrisohit/omniforge/tree/main/tests/skills/fixtures/test_skills/flaky-skill
Command: npx skills add https://github.com/keshrisohit/omniforge --skill flaky-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides automated retry handling to cope with flaky tools in automated workflows, reducing manual intervention when transient failures occur.

Core Features & Use Cases

  • Automated retries: automatically re-run tasks when a tool call fails, up to configured limits.
  • Configurable resilience: honors max-iterations and max-retries-per-tool to control retry behavior.
  • Use Case: great for CI/CD steps or data pipelines that use unstable services or tools.

Quick Start

Provide your task arguments and let the flaky-skill retry automatically until success.

Frequently Asked Questions about flaky-skill

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

FAQPage Schema
How do I handle flaky tool failures in automated workflows?

Automated retry handling for flaky tools re-runs failed tasks up to configured max-iterations and per-tool max-retries limits. This reduces manual intervention when transient failures occur during autonomous task execution.

Can I configure max retries per tool in CI/CD pipelines?

Yes, you can configure max retries per tool in CI/CD pipelines. The retry behavior honors configurable resilience limits including max-iterations and max-retries-per-tool to control how many times failed tool calls re-execute.

What is automated retry logic for unstable services?

Automated retry logic for unstable services is a deterministic mechanism that re-runs task executions when intermittent failures happen. It applies to autonomous scenarios where tools fail transiently and require multiple iterations to succeed.

Does retry handling work with data pipelines using unstable tools?

Retry handling works with data pipelines using unstable tools. It is designed for CI/CD steps and data pipelines relying on unstable services, automatically re-running tasks until success or configured retry limits are reached.

What are the limitations of automated retry behavior for flaky tools?

The limitation of automated retry behavior is that execution stops after reaching configured max-iterations and per-tool max-retries. It only addresses transient failures and cannot resolve persistent tool errors or execution flaws.