task-executor

Automate end-to-end software engineering tasks from instruction to deliverable.

Updated Aug 23, 2026

Search Tags:#automation #multi-agent #orchestration #software-engineering #deliverables #quality-gates #task-execution

Ready to run

npx skills add https://github.com/ribatshepo/cc-auto-orchestrate --skill task-executor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: task-executor
Source: https://github.com/ribatshepo/cc-auto-orchestrate/tree/main/claude-code/skills/task-executor
Command: npx skills add https://github.com/ribatshepo/cc-auto-orchestrate --skill task-executor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Automates the end-to-end execution of implementation tasks by translating user instructions into concrete deliverables across coding, validation, and documentation.

Core Features & Use Cases

Implementation: Execute coding, configuration, and documentation tasks across platforms.
Deliverable Production: Create files, code, and artifacts as specified.
Quality Verification: Validate work against acceptance criteria and maintain traceable progress.
Progress Reporting: Document completion via subagent protocol and update task manifests.

Quick Start

Tell me a task with clear instructions and expected deliverables, and I will execute it end-to-end.

Frequently Asked Questions about task-executor

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

FAQPage Schema

How do I automate end-to-end software engineering tasks from instruction to deliverable?▼

Automate end-to-end task execution by providing clear instructions and expected deliverables, and the system translates them into concrete code, configuration, and documentation artifacts across multi-agent pipelines.

What is multi-agent orchestration for task execution and when do I need it?▼

Multi-agent orchestration coordinates coding, validation, and documentation across pipeline stages, needed when executing complex software engineering tasks that require structured task data and quality verification.

How do I enforce quality gates and acceptance criteria during automated coding?▼

Enforce quality gates by validating produced deliverables against predefined acceptance criteria, maintaining traceable progress, and recording task summaries for auditing throughout the execution pipeline.

Does multi-agent task execution work without external dependencies?▼

Multi-agent task execution operates with no external dependencies, relying solely on internal scripts to orchestrate implementation, produce deliverables, and verify acceptance criteria for software engineering workflows.

How do I generate and track task manifests for implementation progress reporting?▼

Generate task manifests by executing implementation tasks and updating progress via subagent protocol, ensuring structured task data records completion status and summaries for auditing purposes.

What are the limitations of automating deliverable production across multi-agent pipelines?▼

Deliverable production automation is limited to software engineering tasks such as coding, configuration, and documentation, requiring clear instructions and defined acceptance criteria to execute end-to-end successfully.