Files
superpowers/skills/using-superpowers/references/antigravity-tools.md
Jesse Vincent e3c74fc1c9 Merge per-task reviews into one task reviewer (iteration 2)
Iteration-1 profiling: implementers and per-dispatch overhead dominate
(429 of 686 subagent turns; controller coordination is half the dollars
and scales with dispatch count), reviewers are individually lean, and
the controller pasted the diff in only 2 of 22 review dispatches when
the guidance was phrased as optional.

Changes: spec-reviewer-prompt.md + code-quality-reviewer-prompt.md
replaced by task-reviewer-prompt.md (one reviewer, one reading of a
pasted diff, two verdicts: spec compliance //⚠️ and task quality);
one fix dispatch can address both kinds of findings; controller now
runs git diff itself and pastes it (imperative, not optional);
implementers run focused tests while iterating and the full suite once
before committing; flowchart, example, Red Flags, tool tables updated.
The broad final whole-branch review is unchanged.
2026-06-09 23:58:28 -07:00

5.6 KiB

Antigravity CLI (agy) Tool Mapping

Skills speak in actions ("dispatch a subagent", "create a todo", "read a file"). On the Antigravity CLI (agy) these resolve to the tools below.

Action skills request Antigravity CLI equivalent
Read a file view_file
Create a new file write_to_file
Edit a file replace_file_content
Edit a file in several places at once multi_replace_file_content
Run a shell command run_command
Search file contents grep_search
Find files by name / list a directory list_dir (no dedicated glob tool — combine list_dir with grep_search)
Fetch a URL read_url_content
Search the web search_web
Pose a structured question to your human partner ask_question
Dispatch a subagent (Subagent (general-purpose): template) invoke_subagent with a built-in TypeNameself for full-capability work, research for read-only (see Subagent support)
Multiple parallel dispatches Multiple entries in one invoke_subagent call's Subagents array
Task tracking ("create a todo", "mark complete") a task artifactwrite_to_file with IsArtifact: true and ArtifactType: "task" (see Task tracking). Not manage_task, which manages background processes.

Invoking a skill — read its SKILL.md

Antigravity surfaces every installed skill's name + description to you at the start of each session, but it has no Skill/activate_skill tool. To load a skill, read its SKILL.md with view_file, setting IsSkillFile: true when the skill applies — e.g. view_file on .../plugins/superpowers/skills/<skill-name>/SKILL.md with IsSkillFile: true. (IsSkillFile is agy's own signal that you're reading a file to execute its instructions, not to edit or preview it — set it whenever you load a skill.)

This is the blessed skill-loading mechanism on this harness. The general rule "never read skill files manually" means "don't bypass your platform's skill-loading mechanism" — and on Antigravity, reading SKILL.md is that mechanism. Reading it honors the rule rather than breaking it.

You already know which skills exist and what they're for: their names and descriptions are in front of you at session start. When a description matches what you're about to do, read that skill's SKILL.md before acting.

Subagent support

Antigravity dispatches subagents with invoke_subagent, passing each one a TypeName in the Subagents array. Two TypeNames are built in — use them directly, no define_subagent needed:

  • self — a full clone of you, with every tool you have (including write_to_file/replace_file_content/run_command). The safe default for general-purpose work: implementing, fixing, anything that edits files or runs commands.
  • research — read-only (file reading, grep_search, web/URL fetch; no write or command access). Use it when you specifically want a subagent that can't make changes — investigation and read-only review.

Call define_subagent only for a custom system prompt or capability mix: set enable_write_tools: true to grant file edits and run_command, enable_subagent_tools for nested dispatch, enable_mcp_tools for MCP. Then invoke it by the name you gave it. (manage_subagents lists/kills running subagents.)

Skills dispatch with Subagent (general-purpose): and either reference a prompt-template file (e.g. superpowers:subagent-driven-development's ./implementer-prompt.md) or supply an inline prompt. On Antigravity:

Skill dispatch form Antigravity equivalent
An implementer-style *-prompt.md template (writes code, runs tests) Fill the template, then invoke_subagent with TypeName: "self" and the filled prompt
A read-only reviewer template (task-reviewer, code-reviewer, requesting-code-review's ./code-reviewer.md) invoke_subagent with TypeName: "research" and the filled review template
Inline prompt (no template referenced) invoke_subagent with TypeName: "self" (or "research" if the task only reads) and your inline prompt

Prompt filling

Skills provide prompt templates with placeholders like {WHAT_WAS_IMPLEMENTED} or [FULL TEXT of task]. Fill all placeholders before passing the complete prompt to invoke_subagent. The prompt template itself contains the agent's role, review criteria, and expected output format — the subagent will follow it.

Parallel dispatch

Put multiple entries in a single invoke_subagent call's Subagents array to run independent subagent work in parallel. Keep dependent tasks sequential, but do not serialize independent subagent tasks just to preserve a simpler history.

Task tracking

Antigravity has no todo / TodoWrite tool (manage_task manages background processes — list/kill/status/send_input — it is not a checklist). When a skill says to create a todo list or track tasks, maintain a task artifact: a markdown checklist saved with write_to_file (IsArtifact: true, ArtifactMetadata.ArtifactType: "task"), edited with replace_file_content / multi_replace_file_content as you go.

At the start of any multi-step task, create the task artifact listing every step of your plan. As you complete each step, edit the artifact to mark it done (- [x]). If the plan changes, update the checklist. Keep it current — it is your source of truth for what remains; once the conversation gets long, re-read it before starting each step.