> ## Documentation Index
> Fetch the complete documentation index at: https://vietbui.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# GitHub Issue as Handoff Artifact

> A variation of the /handoff skill where the handoff document is published as a GitHub issue instead of a temp-dir markdown file. Bridges /handoff (context fo…

# GitHub Issue as Handoff Artifact

A variation of the `/handoff` skill where the handoff document is published as a GitHub issue instead of a temp-dir markdown file. Bridges `/handoff` (context forking), `/to-issues` (work decomposition), and [Shared Task Queue (Cross-Worktree)](/concepts/shared-task-queue) (agent dispatch).

**Recommendation: use temp file by default. Upgrade to issue only when persistence, team visibility, or autonomous dispatch is needed.** The operational cost of CI setup is real; the temp-file form is zero-infra. See [When to Use Each Form](#when-to-use-each-form).

***

## Core Idea

The original `/handoff` skill saves to `$TMPDIR` — ephemeral by design. Replacing the file write with:

```bash theme={null}
gh issue create \
  --title "Handoff: <purpose>" \
  --body "<handoff doc>" \
  --label "agent-handoff"
```

turns the handoff doc into a persistent, shareable, trackable artifact. The returned issue URL is passed to the next agent session as its kickoff.

## Handoff Issue Body Format

The issue body must follow the same structure as the original `/handoff` skill output — not a freeform "context dump." Required sections:

```markdown theme={null}
## Purpose
<one sentence: what the next session must accomplish>

## Context
<minimum context needed; use file paths / issue links as pointers, not copied content>

## Suggested skills
- /grill-with-docs | /tdd | /diagnose | etc.

## Acceptance signal
<what "done" looks like for the receiving agent>

## Sensitive data
[REDACTED — strip all API keys, passwords, PII before publishing]
```

Pointers over copy-paste: if the relevant context lives in a PR, file, or existing issue — link it. The issue body should be a navigation map, not a transcript.

***

## Return Handoff (Multi-Hop)

The original `/handoff` skill supports a `grilling → prototype → return handoff → grilling` pattern. With GitHub issues, the return handoff is a **comment on the original issue**, not a new issue:

```bash theme={null}
gh issue comment <issue-number> \
  --body "<return handoff doc: learnings from prototype session>"
```

This makes the issue a thread — each agent hop appends a comment, preserving the full reasoning chain without creating N separate issues. The originating session resumes by reading the issue's comment history:

```bash theme={null}
gh issue view <issue-number> --comments
```

***

## Tradeoffs vs. Temp File

| Property              | `$TMPDIR/handoff.md`      | GitHub Issue                    |
| --------------------- | ------------------------- | ------------------------------- |
| Lifetime              | OS-controlled (ephemeral) | Persistent until closed         |
| Team visibility       | Local machine only        | Shared with team                |
| Traceability          | None                      | Links to PRs, comments, labels  |
| Multi-hop handoff     | File gets overwritten     | Agent comments per hop          |
| Agent dispatch        | Manual paste              | Webhook → CI (requires setup)   |
| blocked-by references | Not possible              | Issue ID usable in other issues |
| Operational cost      | Zero                      | CI runner + CLI auth required   |

***

## Lean-Session Interaction

[Lean Agentic Coding Workflow](/syntheses/lean-agentic-workflow) uses `lean-session` to write `.agents/checkpoint.md` on every idle/compaction event. When `/handoff` fires mid-session, the checkpoint already contains current task state (git state, task list, changed files).

The handoff issue body should reference the checkpoint path as a pointer:

```markdown theme={null}
## Context
Checkpoint at: .agents/checkpoint.md (read at session start for full task state)
Active task: <task summary>
...
```

The receiving agent loads the checkpoint at startup before reading the issue body. This avoids re-serializing state that lean-session already captured.

**Open question**: if the original session continues after handoff (the whole point), the checkpoint will be overwritten by subsequent idle events. The receiving agent should read the checkpoint *immediately at session start*, not lazily. This is unverified — needs real implementation experience.

***

## Synthesis with /to-issues

`/to-issues` decomposes a PRD into vertical-slice GitHub issues for parallel agent execution. A handoff issue sits one level above this:

1. Grilling session surfaces out-of-scope task → `/handoff` → creates issue #X (`agent-handoff` label)
2. Receiving agent reads issue #X → if task is multi-session, runs `/to-issues` → child issues created with `## Parent: #X`
3. Child issues land in `.agents/inbox/` as task files (see materialization below)
4. Parallel agents claim from inbox; close child issues on completion; comment resolution on #X

The handoff issue becomes the parent in the `/to-issues` template's `## Parent` field.

***

## Synthesis with Shared Task Queue

A handoff issue can be materialized into `.agents/inbox/` using the task file format required by [Shared Task Queue (Cross-Worktree)](/concepts/shared-task-queue):

```bash theme={null}
# Materialize issue into .agents/inbox/ with correct task file format
ISSUE_NUMBER=<n>
TITLE=$(gh issue view $ISSUE_NUMBER --json title -q .title)
BODY=$(gh issue view $ISSUE_NUMBER --json body -q .body)
SLUG=$(echo "$TITLE" | tr '[:upper:]' '[:lower:]' | tr -cs 'a-z0-9' '-' | sed 's/-$//')

cat > ".agents/inbox/TASK-${ISSUE_NUMBER}.md" <<EOF
---
id: TASK-${ISSUE_NUMBER}
type: implementation
blocking: []
blocked-by: []
scope: (set by receiving agent)
---

# ${TITLE}

## Context
GitHub issue: #${ISSUE_NUMBER}
$(gh issue view $ISSUE_NUMBER --comments | tail -20)

## Acceptance criteria
(derived from issue body — receiving agent must parse)

## Do not touch
(receiving agent sets based on active worktrees)
EOF
```

Note: `scope` and `do-not-touch` fields must be filled by the receiving agent at claim time — they can't be known at materialization. The task file is a skeleton; the agent completes it before starting work.

***

## Auto-Dispatch via GitHub Actions

**Operational requirement: not zero-infra.** The dispatch job needs:

* A self-hosted runner with Claude Code CLI installed and authenticated (`ANTHROPIC_API_KEY` secret)
* `gh` CLI available on the runner
* The runner must have repo write access to push commits back

```yaml theme={null}
on:
  issues:
    types: [labeled]

jobs:
  dispatch:
    if: github.event.label.name == 'agent-handoff'
    runs-on: self-hosted  # NOT ubuntu-latest — CC CLI not available on GitHub-hosted runners
    steps:
      - uses: actions/checkout@v4
      - name: Materialize task file
        run: |
          ISSUE=${{ github.event.issue.number }}
          BODY=$(gh issue view $ISSUE --json body -q .body)
          # Write to inbox using the format above
          # Then claim + run agent
          claude --print "$(cat .agents/inbox/TASK-${ISSUE}.md)"
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
      - name: Comment result on issue
        if: always()
        run: |
          gh issue comment ${{ github.event.issue.number }} \
            --body "Agent session complete. See commit: $(git rev-parse HEAD)"
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
```

**Simpler alternative**: skip Actions entirely. Receiving agent is started manually with `gh issue view <n>` as the initial prompt. Auto-dispatch is useful only when the pipeline is fully trusted and the runner is already maintained.

***

## When to Use Each Form

| Scenario                               | Use                                                        |
| -------------------------------------- | ---------------------------------------------------------- |
| Short focused task, one session, solo  | `$TMPDIR/handoff.md` (original skill, zero infra)          |
| Task needs team review before starting | GitHub issue (human can comment/approve first)             |
| Multi-hop: prototype returns learnings | GitHub issue with comment-back                             |
| Task may expand to multi-session work  | GitHub issue → `/to-issues` decomposition                  |
| Fully autonomous dispatch              | GitHub issue + Actions (only if self-hosted runner exists) |
| Cross-agent adversarial review         | GitHub issue (agent-agnostic; readable by Codex/Copilot)   |

***

## Open Questions (Needs Implementation Experience)

* Does lean-session checkpoint survive long enough for the receiving agent to read it? Depends on how fast the original session continues after handoff.
* What's the right granularity for `agent-handoff` vs. `needs-triage` labels? Can an issue carry both?
* Return-handoff via comment: does the original session need to poll for comments, or is the URL enough for a human to close the loop?

***

## Related Pages

* [Lean Agentic Coding Workflow](/syntheses/lean-agentic-workflow) — lean-session checkpoint; full grill→PRD→AFK loop; /handoff and /to-issues as components
* [Shared Task Queue (Cross-Worktree)](/concepts/shared-task-queue) — atomic `.agents/inbox/` claim protocol; task file format spec
* [Agent Harness](/concepts/agent-harness) — broader orchestration harness context

*Stub — expand when a dedicated source is ingested.*

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.nodeCanvasObject(function(n,ctx,scale){var r=opt.ns*Math.sqrt(n.val||1);
if(n.id===CUR){ctx.beginPath();ctx.arc(n.x,n.y,r+1.6,0,6.283);ctx.strokeStyle='#fff';ctx.lineWidth=1.2/scale;ctx.stroke();}
if(opt.to>0&&opt.ts>0){var t=n.label.length>28?n.label.slice(0,26)+'…':n.label;ctx.globalAlpha=opt.to;ctx.font=((n.id===CUR?opt.ts+1:opt.ts))+'px ui-sans-serif,sans-serif';ctx.fillStyle=(n.id===CUR)?'#ffffff':'#aab0c0';ctx.textAlign='center';ctx.textBaseline='top';ctx.fillText(t,n.x,n.y+r+1.5);ctx.globalAlpha=1;}})
.onNodeClick(function(n){if(window.top){window.top.location.href='/'+n.id;}});
G.graphData(visible());G.d3VelocityDecay(0.4);
function fit(){G.zoomToFit(400,20);}
setTimeout(fit,350);setTimeout(fit,1100);
// Stop the render/sim loop while idle so the fixed widget never repaints during
// parent-page scroll; resume only while the pointer is over the widget.
var pt;function pause(){G.pauseAnimation();}function resume(){G.resumeAnimation();}
function idle(ms){clearTimeout(pt);pt=setTimeout(pause,ms);}
document.body.addEventListener('pointerenter',function(){clearTimeout(pt);resume();});
document.body.addEventListener('pointerleave',function(){idle(250);});
addEventListener('resize',function(){resume();G.zoomToFit(0,20);idle(700);});
idle(2000);
function apply(re){resume();G.nodeRelSize(opt.ns).linkWidth(opt.lw).linkDirectionalArrowLength(opt.ar?2.6:0);if(re){G.graphData(visible());setTimeout(fit,450);}idle(re?2200:1400);}
function bind(id,key,fmt,re){var e=document.getElementById(id),o=document.getElementById('v'+id);e.value=opt[key];if(o)o.textContent=fmt(opt[key]);e.addEventListener('input',function(){opt[key]=parseFloat(e.value);if(o)o.textContent=fmt(opt[key]);apply(re);});}
bind('ns','ns',function(v){return v.toFixed(1);},false);
bind('lw','lw',function(v){return v.toFixed(1);},false);
bind('ts','ts',function(v){return v.toFixed(1);},false);
bind('to','to',function(v){return v.toFixed(2);},false);
var dE=document.getElementById('dp'),dO=document.getElementById('vd');dE.max=MAXD;dE.value=opt.dp;dO.textContent=opt.dp;dE.addEventListener('input',function(){opt.dp=parseInt(dE.value,10);dO.textContent=opt.dp;apply(true);});
if(!CUR)document.getElementById('depthRow').style.display='none';
var aE=document.getElementById('ar');aE.checked=opt.ar;aE.addEventListener('change',function(){opt.ar=aE.checked;apply(false);});
document.getElementById('gear').addEventListener('click',function(){document.getElementById('panel').classList.toggle('open');});
var hd=document.getElementById('hd');hd.textContent='⠿  '+(CUR?'Local graph':'Knowledge graph');
// free-form placement: drag by the header. Default is bottom-right (inline style);
// a moved position is saved per parent-origin and restored on every page.
function clampPos(fe,l,t){var TW=(window.top||window),r=fe.getBoundingClientRect();return [Math.min(Math.max(0,l),Math.max(0,TW.innerWidth-r.width)),Math.min(Math.max(0,t),Math.max(0,TW.innerHeight-r.height))];}
function place(fe,l,t){var p=clampPos(fe,l,t);fe.style.left=p[0]+'px';fe.style.top=p[1]+'px';fe.style.right='auto';fe.style.bottom='auto';}
try{var sp=JSON.parse(localStorage.getItem('llmwiki_graph_pos'));if(sp&&window.frameElement)place(window.frameElement,sp.l,sp.t);}catch(e){if(window.console)console.debug('graph: saved position unavailable',e);}
hd.addEventListener('pointerdown',function(e){var fe=window.frameElement;if(!fe)return;var rect=fe.getBoundingClientRect();var sx=e.screenX,sy=e.screenY,L=rect.left,T=rect.top;place(fe,L,T);hd.setPointerCapture(e.pointerId);
function mv(ev){place(fe,L+ev.screenX-sx,T+ev.screenY-sy);}
function up(){if(hd.hasPointerCapture(e.pointerId))hd.releasePointerCapture(e.pointerId);hd.removeEventListener('pointermove',mv);hd.removeEventListener('pointerup',up);try{localStorage.setItem('llmwiki_graph_pos',JSON.stringify({l:parseFloat(fe.style.left),t:parseFloat(fe.style.top)}));}catch(e2){if(window.console)console.debug('graph: could not persist position',e2);}}
hd.addEventListener('pointermove',mv);hd.addEventListener('pointerup',up);e.preventDefault();});
</script></body></html>"
  title="Knowledge graph"
  loading="lazy"
  style={{position:"fixed",right:"18px",bottom:"18px",width:"320px",height:"340px",border:0,borderRadius:"14px",boxShadow:"0 6px 28px rgba(0,0,0,0.38)",zIndex:50,background:"#0f1117"}}
/>