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axec
axec には SpecterShell から収集した 13 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。
このリポジトリの skills
Remove exited REPL sessions and their on-disk state. Use after killing REPL sessions or when finished with completed REPL jobs.
Send a script to a REPL session with completion-aware execution. Use when you need to execute code in a Python, Node, Bash, or Zsh REPL and reliably capture the full output without guessing timeouts.
Force-kill a running REPL session or all sessions. Use when you need to stop REPL processes managed by axrepl.
List known REPL sessions with their driver info. Use when you need to see which REPL sessions exist and their status.
Start a REPL session with driver-aware completion tracking. Use when you need to launch a Python, Node, Bash, or Zsh REPL that supports completion-aware input via axrepl input.
Interactively attach to a running axec session for direct terminal access. Use when you need full interactive control of a session (like tmux attach).
Print full output history from an axec session, optionally following live output. Use when you need the complete log or want to stream output in real time.
Remove all exited axec sessions and their on-disk state (logs, metadata). Use after killing sessions or when finished with completed jobs.
Send input to a running axec session. Use when you need to execute code in a REPL, send commands to a shell, or interact with any running session.
Force-kill an axec session or all sessions. Use when you need to stop a running process. For graceful shutdown, consider axec-signal with SIGINT first.
List all tracked axec sessions with their status, UUID, name, and command info. Use when you need to see what sessions exist before interacting with them.
Print unread stdout from an axec session since the last read. Use when you need to check for new output without re-reading the full history.
Start a persistent background session with axec. Use when you need to launch a long-running command, REPL (Python, Node, etc.), shell, or background job that persists across CLI calls.