gemini-cli
Skill14 starsChanged 10 days agoMITView on GitHub
Use Gemini CLI as a subagent. Lets the main agent prompt Gemini CLI from the terminal in headless mode with the `gemini` command, and send the goal, the decisions and the scope with the task. Use when the user asks to delegate work to Gemini CLI, when a task needs a second independent agent, or when a plan needs a fresh perspective.
- Installs packages
11 other projects use a version of this.
Adopted by
Most recently taken up by
- workflownicojunk/claude-skillstheir own version, first seen Oct 20, 2026
- foxl-ai/skillstheir own version, first seen Oct 15, 2026
- zengwenliang416/ppt-agenttheir own version, first seen Oct 8, 2026
- IGTA-Tech/claude-skills-researchtheir own version, first seen Oct 3, 2026
- leaf76/agent-skillstheir own version, first seen Aug 17, 2026
- czyt/tinyskillstheir own version, first seen Aug 12, 2026
Used with
Projects with it also use mcp-builder and skill-creator.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
MicrosoftSkillmcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Also in 3 projects that use this
SentrySkillskill-creator
Create new agent skills following the Agent Skills specification. Use when asked to "create a skill", "add a new skill", "write a skill", "make a skill", "build a skill", or scaffold a new skill with SKILL.md. Guides through requirements, writing, registration, and verification.
Also in 4 projects that use this
Other versions11 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 11
- zengwenliang416/ppt-agent★ 833same name
- forayconsulting/gemini_cli_skill★ 189same name
- georgekhananaev/claude-skills-vault★ 28same name
- czyt/tinyskills★ 7same name
- Junayedahmedd/gemini_cli_skill★ 3same name
- hackermanishackerman/claude-skills-vault★ 2same name
- IGTA-Tech/claude-skills-research★ 2same name
- Taffyreclaimed45/ppt-agent★ 2same name
- foxl-ai/skills★ 0same name
- leaf76/agent-skills★ 0same name
1 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository24 other files it gives its agents.
- antigravity-cliSkill
- claude-codeSkill
- cline-cliSkill
- codex-cliSkill
- copilot-cliSkill
- cursor-cliSkill
- deepagents-codeSkill
- devin-cliSkill
- goose-cliSkill
- grok-cliSkill
- hermes-agentSkill
- junie-cliSkill
- kilocode-cliSkill
- kimi-codeSkill
- kiro-cliSkill
- mistral-vibeSkill
- oh-my-piSkill
- openclaw-cliSkill
- opencode-cliSkill
- openhands-cliSkill
- pi-cliSkill
- qoder-cliSkill
- qwen-codeSkill
- <skill-name>Skill
The file
We split this skill into the rules it gives an agent
12 rules. 0 are common, 9 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
9
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 48
Secrets or policy-sensitive work: Do not pipe credentials into a subagent.
- Distinctive: line 50
Low return on investment: If writing the handoff costs more than doing the edit, do the edit.
- Distinctive: line 61
Treat every call as stateless delegation: the subagent keeps nothing between calls, so each command must carry its own state.
- Distinctive: line 71
Write the prompt as a transfer of shared state, not as a title.
- Distinctive: line 82
Prefer sequential delegations with explicit carry-over.
- Distinctive: line 96
After the subagent returns:
- Distinctive: line 104
Every vendor has its own terminal rules.
- Distinctive: line 108
Exit code 0 is not success: If stdout is empty, treat the run as failed and read stderr.
- Very specific: line 119
Keep all seven sub-headings, in this order, even if the answer is "none".
- Very specific: line 164
-y,--yolois deprecated: Use --approval-mode=yolo instead. - Very specific: line 174
No CLI subcommand to list models is documented.
- Distinctive: line 179
If the user names a model, use it.
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Gemini CLI (subagent / task delegation)
<!-- =============================================================================
GLOBAL HALF — sections 1 to 5.
These sections are identical in every skill in this repository.
Copy them without any change. Do not put a vendor name or a flag in them.
A change here must be made in all skills at the same time.
============================================================================= -->What is it
This skill teaches your agent to use an agent from another vendor as a subagent.
Almost every coding agent has a headless mode. Headless mode runs the agent from the terminal with one command and returns the answer to stdout. This skill gives the command pattern for one such agent, and the protocol to transfer enough context with the task.
You stay the main agent. You keep the plan, the decisions and the conversation with the user. The subagent does one bounded task and reports back.
When to delegate
- The user asks for it. The user names another agent, or asks for a second opinion.
- Large or multi-step work. The task covers several files, phases or checkpoints.
- Code review with a fresh mind. Another agent reviews the work with a different lens and no memory of the decisions that produced it.
- Planning that needs different ideas. A second agent proposes options that you did not consider.
- An internal council. Several subagents answer the same question, and you compare the answers.
- Deep research. The other CLI has web search, web extraction or browser automation.
- Background investigation. A long task runs in the background while you continue in the foreground.
When not to delegate
- Small or single-step tasks. One or two edits, or a short explanation, are faster in this thread.
- Tight feedback loops. The user wants quick back-and-forth in one conversation.
- Secrets or policy-sensitive work. Do not pipe credentials into a subagent. Redact first.
- Context you already hold. Repeating the whole plan in a prompt adds no value.
- Low return on investment. If writing the handoff costs more than doing the edit, do the edit.
- Work that needs high precision and full judgement. A subagent without your context will break a task that depends on a detail only this session knows.
Delegation and context transfer protocol
An isolated subagent saves tokens, but it splits the story. The subagent does not see this conversation. It has no memory of the goal you agreed with the user, the decisions you already made, or the paths you agreed not to touch. A poor handoff causes misread tasks, wrong assumptions about the stack or the style, and wasted edits.
Treat every call as stateless delegation: the subagent keeps nothing between calls, so each command must carry its own state. A good handoff happens when you keep these practices in mind:
- Shared state handoff. The prompt carries the original goal, the decisions already made, and the explicit scope, to bridge the subagent's missing session history.
- Contextual preservation. The high-volume work stays in the isolated process, so the bulk never enters this conversation and no "split story" forms from missing history.
- Result reconciliation. What comes back is folded into this thread afterwards, so there is a single source of truth.
Write the prompt as a transfer of shared state, not as a title. Include all six fields:
| Include | Why |
| Goal | The same objective as the user, not only the immediate micro-task. |
| Decisions | Framework, patterns, naming, "use X not Y" — anything that would otherwise be guessed wrong. |
| Scope | The absolute paths and modules to touch, and the areas to leave alone. A relative path may not resolve where you expect. |
| Constraints | Performance, accessibility, compatibility, review gates, "no new dependencies". |
| Verification | The exact command the subagent must run and pass before it returns. |
| Output | For example: "report only, no edits", "apply edits with a minimal diff", "list the files changed". |
Prefer sequential delegations with explicit carry-over. Parallel runs diverge unless every run gets the same briefing.
Run the subagent in the mode that does the work without asking for approval. Headless mode has nobody to answer a permission prompt. Any mode that stops to ask will stall, or return an empty answer with a success exit code. Each CLI names this mode differently — take the flag from the vendor card below.
Never call a subagent in plan mode. Many CLIs have a plan or read-only mode. That mode makes the other agent write a plan for itself, which is not what you asked for: you want its work or its answer, and you keep the planning. Plan mode also waits for someone to approve that plan, so the run comes back with nothing. If you want no file changes, keep the auto-approving mode and write "report only, no edits" in the Output field. Do not use plan mode to make a run read-only.
After the subagent returns:
- Report to the user. Give a short summary. Do not paste long logs unless the user asks.
- Reconcile the context. Record the decisions it made, the files it changed, and the open risks, so this session stays the single source of truth.
CLI failure modes
Every vendor has its own terminal rules. A headless run fails quietly more often than it fails loudly.
- Wrap the call in an external timeout. A headless CLI can stall before its own timeout starts.
- Exit code 0 is not success. If stdout is empty, treat the run as failed and read stderr. A permission the CLI could not ask for, and a prompt that never arrived, both look like success.
- Never carry a flag habit from one CLI to another. The same short flag means different things in
different tools. In OpenCode,
-pis--password: passing a prompt to it empties the message and the run waits on stdin forever. Confirm every flag against the CLI's own--help. - An unrecognized-flag error means this skill is stale, not that the task is impossible. Read
--help, continue with the flags that exist, and tell the user which line in this file is wrong.
<!-- =============================================================================
VENDOR HALF — section 6.
Everything below is specific to this CLI.
Keep all seven sub-headings, in this order, even if the answer is "none".
Take every flag from the installed binary (`<cli> --help`), not from memory
and not from another skill in this repository.
============================================================================= -->Vendor card
Replaced for individual tiers. Google says Antigravity CLI (
agy) replaced Gemini CLI on 2026-06-18 for free individual access and Google AI Pro/Ultra. Thegeminirepository still ships for enterprise Code Assist. Prefer theantigravity-cliskill for new delegations; use this card only whengeminiis what's installed or explicitly requested.
Binary and prompt form
- Binary:
gemini - Install:
npm install -g @google/gemini-cli(npm package@google/gemini-cli). - Prompt form: flag, for reliability.
--prompt/-p <text>takes the prompt as its value and explicitly "forces non-interactive mode." A positional query string is also accepted (gemini "prompt text"), but non-interactive behavior is normally triggered by piping stdin or a non-TTY session, not guaranteed by the bare positional form alone — so for a scripted/headless delegation always pass the prompt via-pto be certain the run exits instead of opening the interactive UI.
Headless and output flags
| Need | Flag |
| Force non-interactive mode with the prompt | -p, --prompt <text> |
| Skip the interactive folder-trust check (headless) | --skip-trust |
Run in a Git worktree (needs experimental.worktrees: true) | -w, --worktree [name] |
| Sandboxed execution | -s, --sandbox |
| Output format | -o, --output-format <text|json|stream-json> |
--output-format json returns one JSON result. stream-json streams JSON events. See the headless
docs for the schema.
Approvals and permissions
--approval-mode <default\|auto_edit\|yolo\|plan>is the current, non-deprecated control:default— prompts for approval on each tool call.auto_edit— auto-approves edit tools only.yolo— auto-approves all tool calls.plan— read-only; the docs themselves flag it as "currently under development and not yet fully functional." Do not use it for delegation — it doesn't do the work, and it is not a reliable no-op either.
-y,--yolois deprecated. Use--approval-mode=yoloinstead; the two cannot be combined.- What happens with nobody to answer: confirmed from the source — in non-interactive mode, a
tool call that needs confirmation under
default(orauto_edit, for the tools it doesn't cover) is treated as a denial (the policy engine mapsask_usertodeny; the scheduler marks the call as errored withCONFIRMATION_REQUIRED). The run continues; that specific tool call simply fails. Pass--approval-mode=yolobefore running headless if the task needs those calls to succeed.
Models and how to list them
No CLI subcommand to list models is documented. Select with --model, -m <alias-or-name> — the
default is an automatic-routing alias. Note: --model (and the interactive /model command) does
not override the model used by sub-agents, so a model report can show other models in use even
after you set --model.
If the user names a model, use it. Otherwise search the web for current identifiers/aliases and consult Artificial Analysis for capability and price comparisons.
Command pattern
gemini -p "GOAL: [goal] | DECISIONS: [decisions] | SCOPE: [paths, @paths as needed] | CONSTRAINTS: [constraints] | VERIFICATION: [test_command] | OUTPUT: [format]" \
--approval-mode yolo --skip-trust -m <identifier> 2>&1Prompt examples
- Implement:
gemini -p "GOAL: [goal] | DECISIONS: [decisions] | SCOPE: [paths] | CONSTRAINTS: [constraints] | VERIFICATION: [test_command] | OUTPUT: [format]" --approval-mode yolo --skip-trust - Investigate:
gemini -p "GOAL: Map how [feature] works | SCOPE: [paths] | CONSTRAINTS: report only, no edits | OUTPUT: concise file:line map" --approval-mode default --skip-trust - Security:
gemini -p "GOAL: Audit for injection/XSS/auth issues | SCOPE: @./src | CONSTRAINTS: report only, no edits | OUTPUT: report with severities" --approval-mode default --skip-trust
Docs and reference
- Skills:
gemini skills list,enable,disable,install,linkanduninstallmanage agent skills (--scopepicks user or workspace). User skills live in~/.gemini/skills/or~/.agents/skills/. Workspace skills live in.gemini/skills/or.agents/skills/. Workspace skills win over user skills. Inside one tier,.agents/skills/wins over.gemini/skills/. - Flags, approval modes, delegation checklist: reference.md
- Vendor documentation: https://github.com/google-gemini/gemini-cli/blob/main/docs/cli/cli-reference.md and https://geminicli.com/docs/cli/headless/
- Checked against
gemini0.51.0--helpon 2026-11-05. Behavior that depends on the docs only (unanswered approvals,experimental.worktrees) was not run. The-y/--yolodeprecation comes from the docs; the 0.51.0 help does not tag it. Confirm withgemini --helpbefore trusting a flag.
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