hokipoki

# HokiPoki Skill Route tasks to different AI CLIs (Claude, Codex, Gemini) via the HokiPoki P2P network. API keys never leave the provider's machine; only encrypted requests and results are exchanged. ## Prerequisites HokiPoki CLI must be installed and authenticated: ```bash npm install -g @next-halo/hokipoki-cli hokipoki login ``` Verify with `hokipoki whoami`. If not installed, guide the user through setup. ## Requesting Help from Another AI Send a task to a remote AI model. Always use `--json` for parseable output: ```bash # Specific files hokipoki request --tool claude --task "Fix the auth bug" --files src/auth.ts --json # Entire directory hokipoki request --tool codex --task "Add error handling" --dir src/services/ --json # Whole project (respects .gitignore) hokipoki request --tool gemini --task "Review for security issues" --all --json # Route to a team workspace hokipoki request --tool claude --task "Optimize queries" --files src/db.ts --workspace my-team --json # Skip auto-apply (just save the patch) hokipoki request --tool codex --task "Refactor module" --dir src/ --no-auto-apply --json ``` Tool selection: if the user doesn't specify a tool, ask which model to use or omit `--tool` to let HokiPoki choose. ### Patch Auto-Apply Patches auto-apply when the target directory is a git repo with committed files. If auto-apply fails, inform the user and suggest: ```bash git init && git add . && git commit -m "initial" ``` ## Provider Mode (Sharing Your AI) Register and listen for incoming requests: ```bash # Register as a provider (one-time) hokipoki register --as-provider --tools claude codex gemini # Start listening hokipoki listen --tools claude codex ``` Tasks execute in isolated Docker containers (read-only filesystem, tmpfs workspace, auto-cleanup). Docker must be running. ## Status & Account ```bash hokipoki whoami # Current user info hokipoki status # Account, workspaces, history hokipoki dashboard # Open web dashboard in browser ``` ## When to Suggest Hopping - User is stuck on a problem after multiple attempts - User asks for a different approach or fresh perspective - Task involves a domain where another model excels (e.g., Codex for boilerplate, Gemini for large-context analysis) - User explicitly asks to try another AI ## Full Command Reference See [references/commands.md](references/commands.md) for all CLI options, auth token locations, and advanced usage.