technical-execution-packet

Convert a Delivery Plan subtask into a Technical Execution Packet with target files and acceptance signals.

Updated Apr 17, 2026
One-click install
npx skills add https://github.com/KingSharkG/ai-agents-workflow --skill technical-execution-packet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: technical-execution-packet
Source: https://github.com/KingSharkG/ai-agents-workflow/tree/main/skills/technical-execution-packet
Command: npx skills add https://github.com/KingSharkG/ai-agents-workflow --skill technical-execution-packet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Delivery Plan often requires a crisp, executable specification that guides FE or BE work. This Skill provides a precise Technical Execution Packet (TEP) that serves as the executor's single source of context, ensuring consistent interpretation across teams and reducing back-and-forth.

Core Features & Use Cases

  • Deterministic Specification: transforms a Delivery Plan subtask into a self-contained TEP with clearly structured sections (metadata, goal, target files, context bundle, and implementation steps) ready for execution.
  • Context-first Execution: the TEP contains all needed signatures, types, and contracts so the executor can proceed without accessing additional repository files.
  • Governance-aligned Hand-off: includes governance excerpts and acceptance signals to support validation, review, and traceability in multi-team environments.
  • Use Case: when a subtask is ready for technical shaping, generate a TEP to guide frontend or backend implementation with minimal ambiguity.

Quick Start

Create a dispatchable TEP for the selected subtask using the Delivery Plan details and governance excerpts.

Frequently Asked Questions about technical-execution-packet

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

FAQPage Schema
What is a Technical Execution Packet used for in frontend and backend development?

A Technical Execution Packet (TEP) transforms a delivery plan subtask into a self-contained specification by copying complexity and turns_budget, checking target_files existence, and populating a context_bundle with required signatures and types.

What governance constraints are needed to generate an execution packet for a subtask?

A context bundle ensures consistent handoffs by embedding all required signatures, types, and contracts directly within the execution packet, allowing the executor to proceed without accessing additional repository files or experiencing ambiguity.

Can I use an execution packet for frontend tasks without accessing additional repository files?

Generating an execution packet requires governance excerpts and acceptance signals to support validation, review, and traceability, along with copied complexity and turns_budget metrics from the original Delivery Plan.

What are the limitations of using a Technical Execution Packet for subtask shaping?

Yes, you can use an execution packet for frontend tasks without accessing additional repository files because the packet's populated context_bundle contains all necessary signatures, types, and contracts for context-first execution.

How do I convert a delivery plan subtask into an executable technical specification?

Limitations of using a Technical Execution Packet include its strict requirement for target_files existence checks and populated context_bundles, meaning it cannot process incomplete subtasks lacking deterministic specifications or governance excerpts.