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asw
Antigravity Swarm execution loop for evidence-driven implementation with tests, subagents, hooks, and manual QA.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Antigravity Swarm execution loop for evidence-driven implementation with tests, subagents, hooks, and manual QA.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | asw |
| description | Antigravity Swarm execution loop for evidence-driven implementation with tests, subagents, hooks, and manual QA. |
Use this skill when the user asks to complete a non-trivial coding, documentation, packaging, or automation task through Antigravity CLI.
The installed PreInvocation hook wakes this mode from asw, asw-loop, and swarmwork.
Before saying the work is done, confirm:
For non-trivial work, write a compact success contract before editing:
Deliverable:
Criteria:
- happy path:
- edge case:
- regression:
Tests:
- file + test id:
Manual QA:
- channel:
- command or action:
- expected observable:
Cleanup:
Each criterion needs automated evidence and real-surface evidence when users can observe the behavior. Tests are necessary; they are not the whole completion proof.
Pick the channel that matches the surface:
Auxiliary checks such as parsed config dumps, package file lists, and stdout inspection are valid supporting evidence for data-shaped work. They do not replace a channel scenario when the user interacts with the surface.
Every scenario must name:
Keep a durable working note for complex work. Prefer .asw/ runtime state when it belongs to the workflow, or a temp note when the work should not create repo files.
Suggested sections:
Plan:
Success criteria + QA scenarios:
Now:
Todo:
Findings:
Learnings:
Evidence:
Cleanup:
Append updates as work progresses. Do not rewrite history in the note; add a correction when assumptions change.
Use small todos:
Good todo shape:
path: action for criterion — verify by command/artifact
Trigger a reviewer pass when the work is broad, risky, release-related, package-related, refactor-heavy, or explicitly requested as rigorous.
The reviewer must receive:
Treat reviewer concerns as blockers until fixed or explicitly handed back to the user as a product decision.
Every spawned resource needs a receipt:
Leftover QA state means the loop is not complete.
Return:
ASW REPORT
Outcome:
Criteria:
Tests:
Manual QA:
Cleanup:
Package/private surface:
Reviewer:
Commit:
Residual risk:
Installs and uses Antigravity CLI ASW skills, hooks, diagnostics, and swarm workflow guidance.
Remove AI-looking clutter and temporary artifacts without changing behavior.
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Antigravity Swarm Loop executes RED to GREEN to real-surface QA with cleanup receipts.
Antigravity Swarm Plan creates a decision-complete plan before large or ambiguous work.
Strict Antigravity implementation discipline for Python, TypeScript, JavaScript, Go, and Rust work.