> ## 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.

# Claude Code Slash Commands

> Decision guide for session control and persistence commands. Covers WHEN to use each and how they differ — not a reference list of flags.

# Claude Code Slash Commands

Decision guide for session control and persistence commands. Covers WHEN to use each and how they differ — not a reference list of flags.

***

## Core Commands

### /goal — condition-driven persistence

Runs autonomously until a boolean condition evaluates true. After each turn, a Haiku-class evaluator model checks the condition; if not met, Claude starts another turn with the evaluator's reason as guidance. Internally a session-scoped Stop hook. Evaluator reads only the transcript — cannot run shell commands.

**Condition writing guide**: one measurable end state (test result, build exit code, file count, empty queue); include constraints ("no other test file is modified"); optionally bound duration ("or stop after 20 turns"). Max 4,000 characters.

Non-interactive use: `claude -p "/goal CHANGELOG.md has an entry for every PR merged this week"`

**Requirements**: workspace must have trust dialog accepted (part of hooks system); unavailable when `disableAllHooks` or `allowManagedHooksOnly` is set.

Best for:

* "Keep working until all tests pass"
* "Keep iterating until the linter is clean"
* Any situation where "done" is a verifiable state, not a count

Pitfall: vague conditions (`"until it looks good"`) produce infinite loops. The evaluator needs something it can actually check.

### /loop — iteration-driven repetition

Runs a prompt N times, or indefinitely. No termination condition by default.

Best for:

* Polling ("check deploy status every 5 min")
* Repeated sweeps ("run this analysis on each file")
* Monitoring tasks with no natural end state

Distinct from /goal: /loop counts, /goal evaluates.

### /ralph-structured — task-list-driven implementation

Breaks work into a discrete task list, enforces one-task-per-iteration, and has stuckness protection (auto-skip after 3 failed attempts on the same task).

Best for:

* Multi-file implementations with 3+ distinct deliverables
* Sequential dependencies ("first schema, then API, then tests")
* Long work that will span multiple context windows

Internally uses a loop, but the loop's unit is a single named task — not an iteration count or condition check. See [Ralph Loop](/concepts/ralph-loop) for the underlying harness pattern.

### /clear — hard context reset

Wipes the entire conversation history. Cheap on tokens, expensive on continuity.

Use: after /save-session has written state to disk. Not the same as /compact — /clear loses everything; /compact replaces it with a summary.

### /compact — context compression

Replaces the conversation with a compressed summary. Work continues without interruption; context window shrinks. Accepts a focus argument to guide what gets preserved (`/compact keep only the plan and the diff`).

Best for: context growing large mid-task, but work isn't at a clean stopping point.

### /save-session — pre-clear state capture

Writes full session state to `.claude/session-state.md` before a /clear. Enables resume in the next session by injecting a structured summary at startup.

Always run /save-session before /clear, never /clear first.

### /handoff — parallel session fork

Forks a parallel Claude Code session with a focused context slice. The forked session runs independently while the main session continues uninterrupted.

**Handoff document properties:**

* Saved to `$TMPDIR` — coordination artifact, not documentation; shouldn't persist in codebase
* Focused on stated purpose (caller must describe the next session's focus)
* Uses pointers to existing files/issues rather than duplicating content (keeps doc small)
* Includes "suggest skills" section so next session invokes the right skill without user specifying
* Redacts sensitive data (API keys, passwords, PII)

**Key patterns:**

* **Grilling → prototype → return**: hit ungrillable question in grilling session → handoff to prototype → prototype runs to 169k+ tokens → generates return handoff with learnings → parent grilling session resumes
* **Grilling → issue filing**: out-of-scope task surfaces during grilling → handoff with "file a GitHub issue" purpose → short-lived agent creates issue and terminates
* **Cross-agent review**: same handoff doc consumed by a different agent (Claude Code → Codex); enables adversarial review with no infrastructure

**GitHub issue as handoff**: a GitHub issue is a persistent, shareable handoff artifact. See [GitHub Issue as Handoff Artifact](/concepts/github-issue-handoff) for the issue-based vs temp-file handoff tradeoffs.

***

## Decision Table

| Scenario                          | Command                |
| --------------------------------- | ---------------------- |
| "Keep working until X is done"    | /goal                  |
| "Run this check every 5 min"      | /loop                  |
| "Build this multi-step feature"   | /ralph-structured      |
| "Context is full, save and reset" | /save-session → /clear |
| "Context growing, keep working"   | /compact               |
| "Try this idea in parallel"       | /handoff               |

***

## Key Distinction: /goal vs /loop vs /ralph-structured

```
/loop  → iterations (how many times)
/goal  → condition  (when to stop)
/ralph → task list  (what discrete steps)
```

They compose: /ralph-structured uses an implicit loop internally; /goal can wrap a /ralph run as its condition evaluation layer.

***

## /compact vs /clear

```
/compact: conversation → summary → work continues
          context window shrinks; history preserved as prose

/clear:   conversation → gone
          context window empty; history lost unless /save-session ran first
```

Rule: prefer /compact while still mid-task. Use /clear only at a clean boundary after saving state.

***

## Related Pages

* [Ralph Loop](/concepts/ralph-loop) — underlying harness pattern; one-task-per-iteration discipline
* [GitHub Issue as Handoff Artifact](/concepts/github-issue-handoff) — issue-based handoff vs temp-file handoff
* [Context Degradation Patterns](/concepts/context-degradation) — smart/dumb zone; why 120k is the practical limit for a grilling session

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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"}}
/>
