audit-config
Audit Antigravity project configuration and documentation for drift, staleness, and broken references. Use when user asks for 'config audit', 'docs audit',…
Generate a passoff package so the next reader can pick up cleanly — for future-you in a new session (typically when context is high and you need to restart) or for a coworker (via brief mode). Default + `auto` modes emit a paste-ready next-session opener as the headline
$ npx -y skills add mikeprasad/aria-knowledge --skill handoff --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/handoffContext preview
The summary Claude sees to decide when to auto-load this skill.
Generate a passoff package so the next reader can pick up cleanly — for future-you in a new session (typically when context is high and you need to restart) or for a coworker (via brief mode). Default + `auto` modes emit a paste-ready next-session opener as the headline
description: "Generate a passoff package so the next reader can pick up cleanly — for future-you in a new session (typically when context is high and you need to restart) or for a coworker (via brief mode). Default + `auto` modes emit a paste-ready next-session opener as the headline artifact, alongside PROGRESS / CLAUDE / memory updates, commit, and /extract; `brief` mode emits an 80-150 word coworker-facing prose brief instead (Slack/email-ready, no file writes); `snap` mode runs like auto but archives the transcript via /snapshot for later extraction instead of running /extract now — use when context is high. Use when handing off — not when finishing for the day with nothing pending (closing out a finished session with no passoff is a different skill). Triggers: '/handoff', '/handoff auto', '/handoff brief', '/handoff snap', 'hand it off', 'handoff and extract', 'context is full, restart this', 'pass off to next session', 'brief a coworker on this', 'wrap and prompt'. (Code port — ADR-094.)"
Generate a passoff package so the next reader can pick up cleanly. Two audiences:
For "I'm done, close it out cleanly" with no passoff intent, use `/wrapup` instead.
**Four modes:**
**The next-session opener is the headline artifact** in default + auto + snap modes — always produced, even when no other surface changed. That is what distinguishes `/handoff` from `/wrapup`. Brief mode is a different shape — handoff to a person, not to a session.
**`snap` is `auto` plus one swap.** snap follows auto's behavior exactly (silent, implicit-yes, apply all drafts, emit the opener) — wherever a step below applies to `auto`, it applies identically to `snap`. The single difference is the capture step (Step 6): `snap` runs `/snapshot` (archive the transcript for later) while `auto` runs `/extract` (synthesize now). Nothing else differs. (snap is NOT brief — it produces the full next-session package, not a coworker prose block.)
Read `~/.gemini/antigravity/aria-knowledge.local.md` and extract `knowledge_folder`. If missing, stop: "aria-knowledge is not configured. Run /setup to get started."
Parse the argument:
Use `{knowledge_folder}` as the base path for all file operations.
Same logic as `/wrapup` Step 1 — detect:
Additionally, determine the **project marker** for the next-session opener (Step 9):
If no PROGRESS.md or CLAUDE.md is found, note this — proceed with the steps that apply.
Build the session synthesis internally — do NOT print it yet:
1. **Files changed** — list files created/modified/deleted during this session (from conversation context, not git) 2. **Key decisions** — architectural choices, approach selections 3. **Current state** — what's working, in-progress, blocked 4. **Next steps** — what the user indicated should happen next, or what logically follows 5. **Open threads** — anything explicitly deferred or flagged for later
This synthesis feeds every subsequent step.
**Mode branch:** If `mode = brief`, jump to Step 2B (Brief Output) and stop there. Skip Steps
Agent Memory · Context Engineering · Planning & Reasoning · Human-in-the-Loop Governance ARIA is the missing infrastructure layer for production AI coding agents: persistent memory that survives context compaction, deliberate context engineering that loads
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