handover
Skill5 starsChanged 51 days agoMITView on GitHub
Prepare a handover for continuing work in a new session. Use when the user asks to "hand over", "prepare handover", "wrap up for a new session", or "context dump".
51 other projects use a version of this.
Adopted by
Most recently taken up by
- thiagobluhm/o1memtheir own version, first seen Nov 8, 2026
- hmislk/hmistheir own version, first seen Nov 2, 2026
- loonylabs-dev/claude-setuptheir own version, first seen Nov 1, 2026
- oubakiou/skillstheir own version, first seen Nov 1, 2026
- vrppaul/claude-reviewtheir own version, first seen Nov 1, 2026
- konlue/skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use harness-init, incident and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
steptianSkillharness-init
初始化 .harness 开发框架,集成代码修改影响范围评估和测试覆盖建议功能。触发词:'初始化新项目'、'harness init'、'更新 harness'、'分析影响范围'、'评估修改影响'
Also in 3 projects that use this
JkudjoSkillincident
Production incident response — structured triage, hypothesis tree, safe remediation, incident record
Also in 3 projects that use this
nicolasestremSkillbrainstorm
Structured idea generation and solution exploration with systematic analysis.
Also in 3 projects that use this
GoogleSkillto-tickets
Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker — edges as text in one file per ticket locally, or native blocking links on a real tracker.
Also in 3 projects that use this
BlockSkillplan
Draft a TDD, PRD, or lightweight plan in the conversation without committing it.
Also in 3 projects that use this
MicrosoftSkillcaveman
Ultra-compressed response style that reduces output token count while preserving technical accuracy, with intensity levels and auto-clarity safety rules
Also in 3 projects that use this
Other versions51 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 51
- me2resh/apexyard★ 542same name
- hmislk/hmis★ 244same name
- chenklein26-maker/Harness-Starter★ 119same name
- k1ein-chen/Harness-Starter★ 119same name
- eai-org/agent-toolkit★ 85same name
- manusco/resonance★ 38same name
- chacosoldier/compabob★ 34same name
- randommonicle/claude-skills★ 27same name
- L-X-T/ng-agentic-skills★ 13same name
- marcogalluccio/company-brain-os★ 7same name
41 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository7 other files it gives its agents.
- gh-close-planSkill
- gh-create-planSkill
- gh-create-prSkill
- gh-implement-planSkill
- gh-read-planSkill
- gh-update-planSkill
- prompt-sessionSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 5 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 38 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
Offer to persist state: before handing over:
- Very specific: line 18
Update the plan issue (/gh-update-plan)
- Distinctive: line 20
Ask the user which of these to do.
- Distinctive: line 35
Keep the handover prompt concise.
- Distinctive: line 36
Do not include implementation details the plan issue already captures.
- Distinctive: line 37
If there's no plan issue, still generate a useful handover prompt with the repo, branch, and summary.
“Common” is measured: kept by at least 6 in 10 of the 38 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Prepare everything needed for a new conversation to continue the current work seamlessly.
- Gather state:
- Current repo and branch
- Uncommitted changes (
git status,git diff --stat) - Recent commits on this branch
- The plan issue (from argument, or the one referenced earlier in this conversation, or ask the user)
- Summarize the session: What was done, key decisions made, what's still in progress, any blockers or open questions.
- Offer to persist state before handing over:
- Update the plan issue (
/gh-update-plan) - Commit uncommitted changes Ask the user which of these to do. Skip any already done.
- Update the plan issue (
Capture learnings: Review the conversation for surprises, gotchas, corrections, and non-obvious decisions. Propose where each belongs:
- Instructions file (CLAUDE.md, AGENTS.md, or similar): conventions, build quirks
- Repo docs: architecture insights, design rationale
- Agent memory: cross-project patterns, user preferences
User approves, edits, or drops each suggestion.
- Generate a handover prompt that the user can paste into a new session. Include:
- The plan issue reference (e.g.
/gh-read-plan owner/repo#12) - The repo and branch to work in
- A 3-5 sentence summary of where things left off
- The specific next step to work on
- Any gotchas or context the new session needs (e.g. "the tests pass locally but CI needs a config change first")
- The plan issue reference (e.g.
Rules:
- Keep the handover prompt concise. It should be copy-pasteable in one go.
- Do not include implementation details the plan issue already captures.
- If there's no plan issue, still generate a useful handover prompt with the repo, branch, and summary.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

