ask-to-plan
Guide a user from an unclear idea to an actionable plan through the agent harness's native ask tool and clickable choices. Use…
Delegate bounded investigation, review, or implementation tasks to Antigravity CLI from a supervising agent. Includes a background client for task progress, follow-up prompts, conversation recovery, cancellation, and visible failures.
$ npx -y skills add scarletkc/agents --skill antigravity-cli --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/antigravity-cliContext preview
The summary Claude sees to decide when to auto-load this skill.
Delegate bounded investigation, review, or implementation tasks to Antigravity CLI from a supervising agent. Includes a background client for task progress, follow-up prompts, conversation recovery, cancellation, and visible failures.
name: antigravity-cli description: "Delegate bounded investigation, review, or implementation tasks to Antigravity CLI from a supervising agent. Includes a background client for task progress, follow-up prompts, conversation recovery, cancellation, and visible failures." license: Apache-2.0 metadata: author: scarletkc source: https://github.com/scarletkc/agents summary: "Delegate work to Antigravity CLI, inspect progress and tool failures, and continue the same conversation across follow-up tasks."
Use the installed `agy` CLI as an external coding agent. The bundled client returns a task ID immediately and keeps a background worker available for follow-ups. It runs each turn with official streaming JSON input/output and resumes the exact Antigravity conversation on the next turn. Waiting for the process and stderr to finish makes permission denials and partial-output timeouts visible; each follow-up incurs CLI startup time.
Delegate when the user requests Antigravity or another agent can add value that you can verify. Keep routine work with the supervising agent when the extra startup and review time would outweigh that benefit.
Antigravity CLI must already be installed and authenticated. Run [scripts/agy.py](scripts/agy.py) with the project's Python 3.12+ interpreter. The helper uses only the standard library; when the project has no Python environment, `uv run --python 3.12 <script> ...` also works. Resolve the script relative to this skill, not the project receiving the task.
Provide the goal, absolute working directory, relevant files and evidence, scope, and completion check. Antigravity does not inherit the supervising agent's conversation. Use a UTF-8 prompt file for substantial instructions:
python <script> start --cwd <absolute-project-path> --prompt-file <task-file> python <script> wait <task_id> --timeout 30 python <script> status <task_id> python <script> reply <task_id> --prompt-file <follow-up-file> python <script> cancel <task_id> python <script> close <task_id>
Keep independent work with the supervising agent while the task runs. `wait` timing out only returns a snapshot; it does not cancel the task. `reply` is accepted after the current turn finishes. Retain the `task_id` and close the worker when no more follow-ups are needed.
The helper supplies both the process working directory and `--add-dir`. For concurrent edits to overlapping files, use separate worktrees and pass their paths as `--cwd`; the helper does not create worktrees. Check actual output paths, since Antigravity can also write to its conversation artifacts.
Inherit Antigravity's authentication, model, and permission configuration. Subscription and API authentication remain Antigravity's responsibility. Do not switch providers, change authentication, or rewrite its global settings to conceal a failure.
`start --model`, `--effort`, `--mode`, and `--sandbox` are task-specific overrides. Honor the user's model or effort choice. Otherwise choose effort according to complexity, error cost, and ease of verification; omit the override when the model's support or the appropriate choice is uncertain. Discover models with `agy --output-format json models`.
Match permissions to the authorized work. `--mode plan` is a planning instruction, not enforced read-only access: headless plan review can proceed automatically. The supervising agent's sandbox does not configure AGY's. Do not promise isolation without checking the target platform's support.
For authorized workspace edits, `--mode accept-edits` allows file changes without interactive diff review; shell commands still follow tool permission rules. If a file tool rejects the target as an invalid artifact path, ask Antigravity to write a regular workspace file instead of an artifact. Inspect that tool error before attempting a shell workaround or expanding permissions.
Headless AGY cannot accept programmatic approval responses. When the helper reports `blocked`, inspect `denied_actions` and the partial result. If the task requires those tools, use scoped Antigravity permission rules or an interactive AGY session to establish the required permissions, following the original authorization. Do not repeatedly submit a blocked operation with unchanged permissions. The helper exposes `--dangerously-skip-permissions` only as an explicit override; do not use it merely to avoid an approval. Scoped rules limit which actions match; they are stored in Antigravity's global settings, not as temporary grants managed by this helper.
Read `status`, `closed`, `stop_reason`, `error`, `denied_actions`, and `tool_errors` together. `completed` means the turn returned a response, not that its claims or edits were verified. Inspect the diff, output files, and relevant checks. AGY may recover from an individual tool error, so tool errors remain visible even when the final turn completes.
The helper does not equate native `SUCCESS` or exit code 0 with completion. It checks permission denials and stderr timeout diagnostics, and enforces its own startup, turn, and shutdown deadlines.
`cancel` stops that task's AGY process tree and closes its worker. It does not undo edits or external actions already performed. Read partial results before retrying. To continue a closed conversation, explicitly start a new task with its returned `session_id`:
python <script> start --cwd <same-project-path> --conversation <session_id> --prompt-file <follow-up-file>
An open task can use `reply` after a provider failure. This is an explicit new turn in the same conversation; there is no automatic retry. If startup failed before a session ID was obtained, resolve the error and start again.
If installation, authentication, network, permissions, or execution blocks the task, tell the user what failed and what remains incomplete. Do not silently replace the reques
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