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From agentic-coding-tools
Wrapper around cursor-agent CLI for non-interactive runs (prompt via args/file/stdin) with resume support.
How this skill is triggered — by the user, by Claude, or both
Slash command
/agentic-coding-tools:cursor-agentThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Thin wrapper around `cursor-agent` CLI:
Thin wrapper around cursor-agent CLI:
PROMPT_FILE, or stdin--resume or CURSOR_SESSION env var--force, --approve-mcps, --browser# Arguments
.claude/skills/cursor-agent/scripts/cursor-agent Your prompt here
# File via env var
PROMPT_FILE=task.md .claude/skills/cursor-agent/scripts/cursor-agent
# Stdin
cat task.md | .claude/skills/cursor-agent/scripts/cursor-agent
# Resume by session ID (returned from previous run)
.claude/skills/cursor-agent/scripts/cursor-agent --resume <session-id> "Follow-up question"
# Via environment variable
CURSOR_SESSION=<session-id> .claude/skills/cursor-agent/scripts/cursor-agent "Follow-up"
# Via environment variable
CURSOR_AGENT_MODEL=gpt-5 .claude/skills/cursor-agent/scripts/cursor-agent "Your prompt"
| Variable | Description |
|---|---|
PROMPT_FILE | Read prompt from this file |
CURSOR_AGENT_MODEL | Passed as --model |
CURSOR_SESSION | Session ID to resume (fallback: CHAT_ID, SESSION_ID) |
Returns the response followed by the session ID:
<response text>
[session_id: <uuid>]
Capture the session ID to continue the conversation in subsequent calls.
cursor-agent --print --output-format json in non-interactive mode--fork/-f and CHAT_ID/SESSION_ID still worknpx claudepluginhub thesylvester/agentic-coding-tools --plugin read-transcriptHands off sessions between agents using the entire CLI. Inspects recent sessions, summarizes checkpoints, and continues work without asking clarifying questions.
Manages Claude Code sessions using /rename, /resume, and CLI commands for naming, checkpointing, and resuming workflows in debugging, feature development, PR reviews, and investigations.
Resumes prior AI coding-agent work by reconstructing context from transcripts, chat logs, or session summaries before continuing from the actual stopping point.