develop-screenpipe-win…
Develop and test Screenpipe Windows-native changes on a disposable Azure VM created from the…
Manage screenpipe pipes (scheduled AI automations) and connections (Telegram, Slack, Discord, etc.) via the CLI. Use when the user asks to create, list, enable, disable, run, or debug pipes, or manage service connections from the command line.
$ npx -y skills add screenpipe/screenpipe --skill screenpipe-cli --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/screenpipe-cliContext preview
The summary Claude sees to decide when to auto-load this skill.
Manage screenpipe pipes (scheduled AI automations) and connections (Telegram, Slack, Discord, etc.) via the CLI. Use when the user asks to create, list, enable, disable, run, or debug pipes, or manage service connections from the command line.
name: screenpipe-cli description: Manage screenpipe pipes (scheduled AI automations) and connections (Telegram, Slack, Discord, etc.) via the CLI. Use when the user asks to create, list, enable, disable, run, or debug pipes, or manage service connections from the command line.
Use `bun x screenpipe@latest` to run CLI commands. No separate install needed.
**IMPORTANT**: Always run `bun x` commands from a clean temp directory to avoid node_modules conflicts:
cd "$(mktemp -d)" && bun x screenpipe@latest <command>
---
Pipes are markdown-based AI automations that run on schedule. Each pipe lives at `~/.screenpipe/pipes/<name>/pipe.md`.
bun x screenpipe@latest pipe list # List all pipes (compact table) bun x screenpipe@latest pipe enable <name> # Enable a pipe bun x screenpipe@latest pipe disable <name> # Disable a pipe bun x screenpipe@latest pipe run <name> # Run once immediately (for testing) bun x screenpipe@latest pipe logs <name> # View execution logs bun x screenpipe@latest pipe install <url-or-path> # Install from GitHub or local path bun x screenpipe@latest pipe delete <name> # Delete a pipe bun x screenpipe@latest pipe models list # View AI model presets
Create `~/.screenpipe/pipes/<name>/pipe.md` with YAML frontmatter + prompt:
--- schedule: every 30m enabled: true preset: ["Primary", "Fallback"] --- Your prompt instructions here. The AI agent executes this on schedule. ## What to do 1. Query screenpipe search API for recent activity 2. Process results 3. Output summary / send notification
**Schedule syntax**: `every 30m`, `every 1h`, `every day at 9am`, `every monday at 9am`, or cron: `*/30 * * * *`, `0 9 * * *`
**Config fields**: `schedule`, `enabled` (bool), `preset` (string or array — e.g. `"Oai"` or `["Primary", "Fallback"]`), `history` (bool — include previous output as context)
Screenpipe prepends a context header with time range, timezone, OS, and API URL before each execution. No template variables needed.
After creating:
bun x screenpipe@latest pipe install ~/.screenpipe/pipes/my-pipe bun x screenpipe@latest pipe enable my-pipe bun x screenpipe@latest pipe run my-pipe # terminal-only; in-app chat uses the workflow below
The cloud JWT is intentionally absent from Bash. Do not expose or recover it, and do not use standalone `pipe run`. Test through the authenticated desktop runtime:
api="${SCREENPIPE_LOCAL_API_URL:-http://localhost:3030}"
auth="Authorization: Bearer $SCREENPIPE_LOCAL_API_KEY"
curl -sS -X POST -H "$auth" "$api/pipes/my-pipe/run"
curl -sS -H "$auth" "$api/pipes/my-pipe/logs"`{"success":true}` means the run started, not that it passed. Poll for a new terminal log. Bind only after `success: true`; otherwise report its `stderr` and leave the Live View unchanged.
Edit frontmatter in `~/.screenpipe/pipes/<name>/pipe.md` directly, or use the API:
curl -X POST http://localhost:3030/pipes/<name>/config \
-H "Content-Type: application/json" \
-d '{"config": {"schedule": "every 1h", "enabled": true}}'1. Use `pipe list` (not `--json`) — table output is compact 2. Never dump full pipe JSON — can be 15MB+ 3. Check logs first when debugging: `pipe logs <name>` 4. Outside in-app chat, use `pipe run <name>` before waiting for a schedule; in-app chat uses the authenticated runtime above
---
Manage integrations (Telegram, Slack, Discord, Email, Todoist, Teams) from the CLI.
bun x screenpipe@latest connection list # List all connections + status bun x screenpipe@latest connection list --json # JSON output bun x screenpipe@latest connection get <id> # Show status + non-secret settings bun x screenpipe@latest connection get <id> --json # JSON output bun x screenpipe@latest connection set <id> key=val # Save credentials bun x screenpipe@latest connection test <id> # Test a connection bun x screenpipe@latest connection remove <id> # Remove credentials
# Set up Telegram bun x screenpipe@latest connection set telegram bot_token=123456:ABC-DEF chat_id=5776185278 # Set up Slack webhook bun x screenpipe@latest connection set slack webhook_url=https://hooks.slack.com/services/... # Verify it works bun x screenpipe@latest connection test telegram # Check what's connected bun x screenpipe@latest connection list
Connection IDs: `telegram`, `slack`, `discord`, `email`, `todoist`, `teams`, `google-calendar`, `openclaw`
Credentials are stored locally and are not printed by `connection get`.
**Per-integration details**: don't guess API shapes from this skill. Run `connection list` for self-describing local endpoints. `connection get <id>` returns only status and non-secret settings.
screenpipe pipe publish <pipe-name>
Reads `~/.screenpipe/pipes/<pipe-name>/pipe.md`, extracts title/description/icon/category from YAML frontmatter, and publishes to the screenpipe pipe store. Requires auth (SCREENPIPE_API_KEY env var or `~/.screenpipe/auth.json`).
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
Repo: mediar-ai/screenpipe
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