agentleFS
CreceraDigitalCreceraDigital/crecera-skills/skills/session-handoff/SKILL.md

session-handoff

Skill0 starsChanged 3 months agoMITView on GitHub

Use when the user says "session handoff", "wrap up session", "hand off", "handoff summary", or wants a structured end-of-session summary before clearing context. Produces a chat-only handoff covering decisions, shipped changes, key files, running state, verification steps, deferrals, and open questions so a fresh agent can continue seamlessly.

139 other projects use a version of this, 7 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use ascii-diagram, research-fleet and 10 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.
  • SethGammonSkill

    ascii-diagram

    Generate perfectly aligned ASCII diagrams — architecture, flow, sequence, box-and-arrow. Uses a programmatic character-grid approach so alignment is guaranteed by math, not token prediction. Includes post-render verification.

    Also in 4 projects that use this

  • SethGammonSkill

    research-fleet

    Parallel research using Fleet wave mechanics. Spawns multiple scout agents, each investigating a different angle of the same question. Findings are compressed between waves. Produces a unified research brief from multiple independent perspectives.

    Also in 3 projects that use this

  • vicoa-aiSkill

    live-preview

    Start a local app in the current user project, expose it through a tunnel, and return preview details in structured Markdown. Use when the user asks for a preview URL, public URL, shareable localhost, mobile/web preview, or tunnel setup.

    Also in 4 projects that use this

  • botlearn-aiSkill

    doc-gen

    Also in 4 projects that use this

  • flyingobsidianSkill

    terminology

    Read a codebase, find terminology, create/update definitions into a markdown document.

    Also in 3 projects that use this

  • Dizzy-TenSkill

    bug-diagnosis

    Diagnose bugs and product issues without modifying code. Use when the user explicitly invokes $bug-diagnosis or asks for diagnosis, root-cause analysis, issue classification, or fix strategy for code bugs, failing tests, configuration/dependency problems, deployment issues, performance regressions, data anomalies, or frontend/user-experience problems described through screenshots, annotations, logs, errors, or natural-language reports. Prioritize analysis and recommendations only; do not edit files.

    Also in 3 projects that use this

  • +1 more from SethGammon

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 117 edited versions we read keep these.

  • 3

    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
  1. Distinctive:

    Produce the output in chat: Do not write a file. Do not update memory.

    line 27
  2. Distinctive:

    Chat output only: Never write the handoff to a file.

    line 65
  3. Distinctive:

    Never invent state: If a section has nothing to report, write "none" — do not omit the section.

    line 66
  4. Very specific:

    Background process IDs are critical: If you started any run_in_background shells, their IDs must appear in "Running state" with the kill …

    line 70

“Common” is measured: kept by at least 6 in 10 of the 117 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Session Handoff

Produce a repeatable end-of-session summary so the user can /clear and start a fresh agent without losing continuity. The next agent should be able to pick up by reading this summary alone.

This is a context-handoff artifact, not a status report. The audience is a future instance of you, not a stakeholder.

When to invoke

User says: "session handoff", "wrap up session", "hand off", "handoff summary", "let's wrap up", "summarize before I clear", or any near-equivalent. Also invoke proactively if the user says they're about to /clear without having run it yet.

How to produce the summary

  1. Review the full conversation, not just the last few turns. Handoffs miss things when they only summarize recent context.
  2. Pull state from these sources (in order):
    • Plan files referenced this session (check ~/.claude/plans/ if a plan was mentioned).
    • TodoWrite state — any in-progress or pending tasks.
    • Background processes you started with run_in_background — shell IDs are load-bearing for the next agent.
    • Files created or modified this session — you know what you touched; don't grep to re-discover.
    • Memory files written or updated (~/.claude/projects/<project>/memory/).
    • Unresolved questions — things you asked the user that never got a clear answer, or things the user asked that got deflected.
  3. Do NOT audit the filesystem. This is synthesis of what happened in THIS session. No git log, no broad Glob sweeps. If you didn't touch it this session, it doesn't belong here.
  4. Produce the output in chat. Do not write a file. Do not update memory. Chat-only.

Output template — use exactly this structure, every time

# Session Handoff — <one-line title of what this session was about>

## Where it started
<2-3 sentences: what the user asked for, key framing or constraints that emerged>

## Decisions locked + what shipped
- <decision or change> — <why, and where it lives (absolute path if a file)>
- ...

## Key files for next session
- `<absolute path>` — <why the next agent should read this first>
- Plan file: `<path>` (if a plan drove the session)
- Memory files touched: `<paths>` (if any)

## Running state
- Background processes: <shell IDs + what they are + how to kill> — or "none"
- Dev servers / ports: <url + port> — or "none"
- Open worktrees / branches: <paths> — or "none"

## Verification — how to confirm things still work
- `<command>` — <expected outcome>
- ...

## Deferred + open questions
- Deferred: <item> — <why pushed to later>
- Open: <question needing the user's input> — <context>

## Pick up here
<1-2 sentences: the single most likely next action for a fresh agent>

Hard rules

  1. Chat output only. Never write the handoff to a file. Never update memory from this skill.
  2. Never invent state. If a section has nothing to report, write "none" — do not omit the section. Structure stability is the whole point.
  3. Absolute paths always. The next agent may have a different working directory.
  4. If a plan file drove the session, name it first in "Key files" so the next agent reads it before anything else.
  5. No emojis, no hype, no "great job" summaries. Terse and concrete — paths, commands, shell IDs, decisions. Match the tone of a seasoned engineer handing off at end-of-shift.
  6. Background process IDs are critical. If you started any run_in_background shells, their IDs must appear in "Running state" with the kill command — the next agent cannot find them otherwise.

Anti-patterns — do not do these

  • Summarizing the last 3 turns and calling it a handoff.
  • Listing files by relative path.
  • Skipping the "Running state" section because "nothing is running" — write "none" instead.
  • Writing the summary to ~/.claude/handoffs/ or any file. This is chat-only by design.
  • Adding a "what went well / what went poorly" retrospective. This isn't a retro.
  • Recommending next steps beyond the single "Pick up here" line. The next agent decides; you just hand off.

Credit

Adapted from the /session-handoff skill by Nate Herk, available free in his AI Automation Society Skool community.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.