session-handoff

session-handoff is a Session continuity & handoff skill for AI agents, published by justinlietz93 in the Perfect_Prompts repository on GitHub. Skillspace rates session-handoff C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Generate rigorous, multi-artifact session handoff packages that preserve full context for zero-loss context switching between AI sessions. Use this skill whenever the user asks to: save session state, create a handoff, package context for a new session, summarize and preserve a conversation for later, do a session dump, create a context transfer, prepare a state snapshot, export session knowledge, hand off to another agent, persist session memory, "wrap up" or "save where we are", create a knowledge package, synthesize session context, or produce a resumption artifact. Also trigger when the user says things like "save this for next time", "capture everything we discussed", "I need to pick this up later", "package this session", "make sure nothing is lost", "create a handoff document", "session export", "context preservation", or any variant of persisting conversational and working state. Even if the user just says "handoff" or "save state" — use this skill.

Grade
C
Quality
72 / 100
Safety
Passed
GitHub stars
23

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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