Agent-Skills.md

Agent Skills: Using Gemini CLI

Run the `gemini` CLI in headless mode for one-off prompts, model-directed Gemini tasks, structured output capture, and follow-up messages against prior Gemini sessions. Use when the user asks to use Gemini CLI, mentions `gemini -p`, wants Gemini in non-interactive mode, wants a `flash` or `pro` Gemini run, needs project-scoped session discovery, or wants to continue an older Gemini session from the terminal instead of the interactive TUI.

UncategorizedID: shekohex/dotai/using-gemini-cli

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shekohex/dotai
shekohex
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pnpm dlx add-skill https://github.com/shekohex/dotai/tree/HEAD/skills/using-gemini-cli

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skills/using-gemini-cli/SKILL.md

Skill Metadata

Name
using-gemini-cli
Description
Run the `gemini` CLI in headless mode for one-off prompts, model-directed Gemini tasks, structured output capture, and follow-up messages against prior Gemini sessions. Use when the user asks to use Gemini CLI, mentions `gemini -p`, wants Gemini in non-interactive mode, wants a `flash` or `pro` Gemini run, needs project-scoped session discovery, or wants to continue an older Gemini session from the terminal instead of the interactive TUI.

Using Gemini CLI

Use gemini through PTY. Prefer headless mode for automation and one-off tasks. Use the interactive TUI only when the user explicitly wants it or when you need the /model picker.

Defaults

  • Non-interactive Gemini means gemini -p "...".
  • Always run Gemini in PTY so you can read the full output buffer and wait through retries.
  • Keep the same workdir for -p, --list-sessions, and --resume. Sessions are project-scoped.
  • Prefer -o json when the output will be parsed or resumed later.
  • Prefer -o text when the user wants the plain answer only.
  • If stdin is piped, Gemini prepends stdin content and then appends the -p prompt after it.

Quick Start

One-off text response:

gemini -p "Summarize this repo in 3 bullets" -o text

One-off structured response:

gemini -p "Return JSON with keys name and purpose" -o json

Continue the latest project session:

gemini --resume latest -p "Now make it shorter" -o text

Model Selection

Pass model choice with -m or --model.

Preferred forms:

gemini -m flash -p "..." -o text
gemini -m pro -p "..." -o text
gemini -m flash-lite -p "..." -o text
gemini -m gemini-2.5-flash -p "..." -o text
gemini -m gemini-3.1-pro-preview -p "..." -o text

Use aliases when the user speaks in tiers:

  • User says use flash or use Gemini flash -> use -m flash
  • User says use pro or ask Gemini pro -> use -m pro
  • User says use flash-lite -> use -m flash-lite
  • User gives an exact model id -> pass it through unchanged with -m <id>

Observed on Gemini CLI 0.34.0:

  • -m flash resolved to gemini-3-flash-preview
  • -m pro resolved to gemini-3.1-pro-preview
  • -m gemini-2.5-flash stayed exact

Treat alias resolution as version- and account-dependent. If exact model identity matters, use an explicit model id and prefer -o json so you can confirm the concrete model in stats.models.

How To List Models

There is no dedicated gemini --list-models flag in gemini --help.

Use one of these paths instead:

  1. Interactive browsing: start gemini, then run /model to open the model picker.
  2. Known manual choices: use flash, pro, flash-lite, auto-gemini-3, auto-gemini-2.5, or an explicit model id.
  3. Verification after a headless run: use -o json and inspect stats.models to see which concrete model actually handled the request.

Common Workflows

Fast one-off task:

gemini -p "Explain why this test is flaky" -o text

Frontend fast pass with Flash:

gemini -m flash -p "Review this React component for obvious UX, layout, and accessibility issues. Keep it concise." -o text

Frontend deeper design or architecture pass with Pro:

gemini -m pro -p "Design a responsive landing page architecture for this app. Include component breakdown, spacing system, and interaction notes." -o text

Frontend structured output for automation:

gemini -m pro -p "Return JSON with keys components, design_tokens, and implementation_steps for this dashboard redesign." -o json

Continue an older frontend session:

gemini --list-sessions
gemini --resume latest -m pro -p "Now turn that plan into a Tailwind component checklist." -o text

Resume by exact session id:

gemini --resume 21177875-7869-4ae6-862c-57a138f1cd6d -p "Add edge cases I missed" -o text

Session Workflow

  1. Start with gemini -p.
  2. If follow-ups are likely, prefer -o json and capture session_id.
  3. If the session handle is unknown, run gemini --list-sessions in the same project directory.
  4. Resume with --resume latest, --resume <index>, or --resume <session-uuid>.
  5. Read the full PTY output before concluding; Gemini may print setup noise before the actual answer.

Observed behavior worth relying on:

  • Headless -p runs are persisted as resumable sessions.
  • --list-sessions shows numeric indexes and UUIDs.
  • --resume latest, --resume <index>, and --resume <uuid> all work for follow-up prompts.

Output Handling

Expect startup noise in PTY output such as cached credential messages, extension loading, MCP warnings, or retry notices. Do not treat the first line as the answer.

When using -o json:

  • Read the final JSON object from the PTY buffer.
  • Use response as the model answer.
  • Use session_id for exact future follow-ups.
  • Use stats.models to confirm the concrete model that actually ran.

When using -o text:

  • The final answer is usually the last meaningful line.
  • If the output is ambiguous, confirm with --list-sessions or inspect the matching session file under ~/.gemini/tmp/<project>/chats/.

Known Pitfalls

  • If Gemini complains about saving ~/.gemini/projects.json, ensure ~/.gemini/ exists before retrying.
  • Session discovery depends on the current project path. Changing directories can make latest point at a different session set.
  • Local extensions or MCP servers can add noisy warnings without breaking the actual answer.
  • Capacity or quota retries can delay completion; keep reading the PTY until the process exits.