trw-deliver

Run pre-flight pytest and mypy checks before delivering coding session artifacts.

Updated Mar 25, 2026
One-click install
npx skills add https://github.com/wallter/trw-mcp --skill trw-deliver
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trw-deliver
Source: https://github.com/wallter/trw-mcp/tree/main/src/trw_mcp/data/codex/skills/trw-deliver
Command: npx skills add https://github.com/wallter/trw-mcp --skill trw-deliver

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Persist and consolidate knowledge from coding sessions to ensure future agents inherit discoveries and ship with validated code.

Core Features & Use Cases

  • Pre-flight build verification: Run pytest and mypy before delivery to catch issues early.
  • Team learning synthesis: Gather teammate learnings, resolve duplicates, and reconcile conflicts.
  • Delivery artifacts: Promote high-impact learnings into project docs (AGENTS.md, INDEX.md, ROADMAP.md) and perform a delivery ceremony.

Quick Start

Run the delivery ceremony for the current session using /trw-deliver.

Frequently Asked Questions about trw-deliver

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

FAQPage Schema
How do I persist learning across multi-agent coding sessions for future agents?

Team learning synthesis gathers teammate discoveries from coding sessions, resolves duplicates, and reconciles conflicts to consolidate knowledge for future agents before code delivery.

How do I run pre-flight build checks before shipping code in multi-agent projects?

Pre-flight build verification runs pytest and mypy before delivery to catch issues early. This gating mechanism ensures multi-agent coding sessions ship with validated code.

Can I automate delivery and promote high-impact learnings into project docs?

Yes, you can automate delivery by promoting high-impact learnings into project docs such as AGENTS.md, INDEX.md, and ROADMAP.md, ensuring future agents inherit validated discoveries through a complete delivery ceremony.

Does team-learning synthesis work with multi-agent software delivery workflows?

Yes, team-learning synthesis is specifically designed for multi-agent software delivery workflows. It coordinates artifact delivery across runs by applying gating, synthesis, and delivery APIs to reconcile conflicts and consolidate knowledge.

What's the best way to consolidate knowledge from coding sessions for future agents?

The best way to consolidate knowledge is to perform a delivery ceremony that synthesizes team learnings, resolves duplicates, and promotes high-impact discoveries into project documentation for future agents to inherit.

Why does code delivery fail without build verification in multi-agent projects?

Code delivery fails without build verification when undiscovered bugs ship to production. Performing a pre-flight build check with pytest and mypy catches issues early, ensuring multi-agent sessions ship validated code.