handoff-packaging

Package workflow outputs into structured handoff bundles with evidence, decisions, and next actions.

Updated Jul 8, 2026
One-click install
npx skills add https://github.com/Zhachory1/autopraxis --skill handoff-packaging-zhachory1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: handoff-packaging
Source: https://github.com/Zhachory1/autopraxis/tree/main/skills/handoff-packaging
Command: npx skills add https://github.com/Zhachory1/autopraxis --skill handoff-packaging-zhachory1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Workflow outputs often reach the next agent, reviewer, or approver as scattered transcripts and loose artifacts, forcing recipients to re-read everything and guess at decisions, limitations, and next steps. This Skill standardizes how completed work is packaged so accountability, evidence, and open risks transfer cleanly. ## Core Features & Use Cases - Structured Handoff Bundle: Produces a consistent package containing summary, evidence pointers, decisions, validation results, known limitations, telemetry, and a clear next action with owner. - Cross-Workflow Reuse: Supports launch PR packages, ML experiment artifact handoffs, debug RCA handoffs, roadmap approval packets, ideation candidates, and backprop changelogs. - Telemetry Propagation: Attaches run telemetry (latency, cost, loop counts, escalations) so downstream workflow-health evaluation can measure how the work was produced. - Use Case: After finishing a debug investigation, package the root cause analysis, fix evidence, prevention actions, and unresolved risks into a single handoff so the reviewer can approve or reject without re-reading the full transcript. ## Quick Start Package the results of this workflow run into a handoff bundle with evidence links, decisions, limitations, and the next action for the reviewer.

Frequently Asked Questions about handoff-packaging

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

FAQPage Schema
How do I package workflow outputs for handoff to another agent or reviewer?▼

Create a handoff package containing a short outcome summary, evidence pointers to files and tests, key decisions with owners, validation results, known limitations, and a clear next action. The recipient should be able to act without re-reading the full transcript.

What should a launch PR handoff package include?▼

A launch PR package should include the change summary, links to docs and diffs, test and validation results, council verdicts, rationale for key decisions, known limitations, and the requested approval decision with an owner and deadline.

Can this handoff format be used for ML experiments or debug investigations?▼

Yes. For ML experiments it bundles model, code, data lineage, and metrics for deployment or further research. For debug investigations it packages the RCA, fix evidence, and prevention actions.

Why do handoffs fail even when the work is complete?▼

Common failure modes are victory laps without caveats, artifact dumps without purpose tags, missing decision asks, and dropped telemetry. Requiring explicit limitations, tagged evidence, and a routed next action prevents these.

What are the limitations of a standardized handoff package?▼

The package depends on the producing workflow supplying accurate evidence and honest limitations. If source artifacts or telemetry are unavailable, those fields must be stated as unavailable rather than omitted.