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Gptme run

Skill gptme/gptme-cc-plugin/skills/gptme-run

Claude Code skills for gptme — /gptme:run, /gptme:review, /gptme:context

Install
npx -y skills add gptme/gptme-cc-plugin --skill gptme-run

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What its author says it does

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Delegate a multi-step task to gptme, a terminal-based AI agent with its own tools (shell, files, browser). Use when the user invokes /gptme:run or asks to have gptme work on something autonomously using its own context and tools. Do NOT use for simple questions that Claude Code can answer directly.

SKILL.md

2.5 KB, 586 tokens by cl100k_base, as published. Nobody here has run it

gptme:run

Invoke gptme non-interactively to execute a task using its own tool access.

When to Use

  • User says /gptme:run "<task>" or asks to delegate work to gptme
  • Task requires gptme's specific tools or workspace context (gptme.toml, lessons)
  • User wants gptme's independent perspective on a problem

When Not to Use

  • Simple questions Claude Code can answer directly
  • Tasks that require interactive back-and-forth (use gptme in a terminal instead)
  • When gptme is not installed in PATH

Procedure

First check that gptme is available:

which gptme || echo "ERROR: gptme not in PATH — install with: pip install gptme"

Run the delegated task:

gptme --non-interactive --output-format json "$TASK"

Where $TASK is the user's instruction from the /gptme:run argument.

Flags

  • --non-interactive: Run without interactive prompts; emit output and exit
  • --output-format json: Emit structured JSON per line for clean parsing
  • Omit --no-workspace to let gptme load its own context from gptme.toml if present in the current directory

Parsing output

The JSON stream contains message objects. The final assistant message is the result:

gptme --non-interactive --output-format json "summarize the project" | \
  python3 -c "import json,sys; msgs=[json.loads(l) for l in sys.stdin if l.strip()]; print([m for m in msgs if m.get('role')=='assistant'][-1]['content'])"

For most uses, present the raw gptme output directly — it's already human-readable.

Example

User: /gptme:run "find all TODO comments in this repo and summarize them"

gptme --non-interactive "find all TODO comments in this repo and summarize them"

Troubleshooting

  • gptme: command not found: Install with pip install gptme or pipx install gptme
  • Hangs: gptme may be waiting for a tool confirmation — use --non-interactive flag
  • No output: Check --output-format json or omit it for human-readable output

Related

  • gptme docs
  • /gptme:review — multi-lens code review via gptme
  • /gptme:context — inject gptme workspace lessons/memory into this session

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.