A/B Test Setup
Use when designing an A/B or split test: define the hypothesis, control and variants, estimate sample size, verify tracking, and predeclare metrics and stopping rules.
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Use when the user wants to create, run, schedule, or debug automated workflows and recurring jobs. Triggers: create workflow, schedule report, automate query, run flow, send me a daily/weekly email, cron schedule, recurring report, debug workflow, flow not running, execution stuck, schedule not t...
--- name: automate-9f2f4fb90e02 description: "Use when the user wants to create, run, schedule, or debug automated workflows and recurring jobs. Triggers: create workflow, schedule report, automate query, run flow, send me a daily/weekly email, cron schedule, recurring report, debug workflow, flow not running, execution stuck, schedule not triggering, execute workflow, run this every day/week/month, set up recurring, automate this. Key signal: any mention of recurring, scheduled, daily, weekly, or automated execution means this skill, not ask. Not for one-time queries — use ask. Not for creating agents or tools — use configure." --- # Automate Create, manage, and debug automated workflows and schedules. ## Routing | User Intent | CLI Command | |---|---| | List workflows | `scripts/run-cli workflow list` | | Create a workflow | `scripts/run-cli workflow create` or `scripts/run-cli workflow create --from-template NAME` | | Run a workflow | `scripts/run-cli workflow execute ID [--dry-run]` | | Schedule a workflow | `scripts/run-cli schedule create` | | Enable/disable schedule | `scripts/run-cli schedule enable ID` / `scripts/run-cli schedule disable ID` | | Debug a failing workflow | See Diagnostics section below | ## Not This Skill - User wants to **run a one-time query** → use `ask` - User wants to **create an agent or tool** needed by a workflow → use `configure` - User wants to **create a data product** that a workflow will query → use `curate` Key distinction: "Set up a daily email report" is `automate`. "Set up an agent" is `configure`. The word "set up" alone is ambiguous — look for scheduling/recurring/automation language to choose `automate`. ## Creating Workflows ### Step 0: Verify the query works first Before building a flow, make sure the underlying query or task works interactively. Use the **ask** skill to run it once — if the query fails or the agent gives bad results, fix that before automating it. Debugging a broken query inside a scheduled flow is much harder than testing it interactively. ### Step 1: Look up the agent Before building a flow, identify which agent it should use. Both default agents (by ref name) and custom agents (by UUID) work in flows. Use the **configure** skill's agent commands to look up agents: ```bash # List all agents — look for the one that matches the user's intent scripts/run-cli agent list # Get a specific agent's config, including its input_json_schema scripts/run-cli agent get <agent_uuid> ``` The agent's `input_json_schema` tells you exactly what inputs the flow node needs. This matters because different agents require different inputs — a custom agent might need `project_name` and `report_type`, not just `message` and `data_product_id`. If the user has been working with a specific custom agent (e.g., they just created or configured one), use that agent's UUID — don't substitute a default agent. ### Step 2: Build the flow from a template or from scratch Three templates are available — list with `scripts/run-cli workflow templates`: 1. **agent-only** — Run a single agent. The simplest flow — good for running any agent on a schedule. Required: `name`, `agent_id`, `query` 2. **query-and-email** — Query a data product, email the results. Required: `name`, `agent_id`, `data_product_id`, `query`, `tool_id` (SMTP), `email`, `subject` 3. **query-only** — Query a data product (no email). Required: `name`, `agent_id`, `data_product_id`, `query` Example: `scripts/run-cli workflow create --from-template agent-only --agent-id <uuid> --query "Generate the weekly summary"` If the agent needs additional inputs beyond `message` (check `input_json_schema`), build the flow JSON from scratch instead. See `references/agent-schemas.md` for how to wire agent inputs into flow nodes — it covers both default and custom agents. ## Scheduling ```bash scripts/run-cli schedule create \ --workflow-id <uuid> \ --name "Weekly sales report" \ --cron "0 9 * * 1" \ --timezone "America/Los_Angeles" \ --timeout 60 ``` - Cron format: `minute hour day month weekday` (e.g., `0 9 * * 1` = Monday 9am) - Minimum interval: 60 minutes - `--timezone` defaults to `America/Los_Angeles` - `--timeout` defaults to 60 minutes - `--disabled` creates the schedule in disabled state (useful for testing) - Auth is handled automatically — the CLI finds the user's managed auth config - To manage existing schedules: `scripts/run-cli schedule list/get/enable/disable/delete` ## Diagnostics When a workflow or schedule isn't working, diagnose using the CLI: 1. **Schedule not firing?** - `scripts/run-cli schedule get <id>` — check `enabled` and `next_run_at` - If disabled, enable with `scripts/run-cli schedule enable <id>` - If `next_run_at` is in the past, the scheduler may be stalled — escalate to the user's admin 2. **Execution failing?** - `scripts/run-cli workflow list` — check recent execution status - Auth errors → use the **setup** skill to re-authenticate - Tool/agent not found → verify IDs with `scripts/run-cli tool list` / `scripts/run-cli agent list` 3. **Issues beyond CLI access** (stuck executions, duplicate runs, scheduler pod health) require admin/SRE intervention. Describe the symptoms to the user and suggest they contact their Alation administrator. ## Common Mistakes **Mistake:** Creating a new SMTP tool when the user asks to email results. Why it seems reasonable: the flow needs an email tool. Instead: List existing tools first (`scripts/run-cli tool list`). There is likely already an SMTP tool configured. Only create a new one if none exists. **Mistake:** Using a default agent when the user has a custom agent for the task. Why it seems reasonable: default agents are easier to reference. Instead: If the user created or configured a custom agent, use its UUID. Check `scripts/run-cli agent list` to find the right one. Look up its `input_json_schema` to know what inputs the flow node needs. **Mistake:** Hardcoding agent/tool IDs in the flow definition without verifying they exist. Why it seems reasonable: the user provided the names. Instead: Look up IDs using `scripts/run-cli agent list` or `scripts/run-cli tool list`. **Mistake:** Building a flow without checking what inputs the agent expects. Why it seems reasonable: most agents just need `message`. Instead: Run `scripts/run-cli agent get <uuid>` and check `input_json_schema`. Custom agents often need additional inputs like `data_product_id` or domain-specific parameters. **Mistake:** Guessing workflow or schedule fields after an unexpected API error. Why it seems reasonable: the flow JSON looks close to correct. Instead: Check the documented workflows API contract via the `docs` skill first. ## Sharing URLs After creating a workflow, share the `url` from the CLI response so the user can view it in the Alation UI. Schedule responses include a `workflow_url` pointing to the parent workflow. ## Red Flags - "I'll create an SMTP tool for this workflow" — check existing tools first. - "Let me build the flow JSON from scratch" — try templates first.--- name: automate-9f2f4fb90e02 description: "Use when the user wants to create, run, schedule, or debug automated workflows and recurring jobs. Triggers: create workflow, schedule report, automate query, run flow, send me a daily/weekly email, cron schedule, recurring report, debug workflow, flow not running, execution stuck, schedule not triggering, execute workflow, run this every day/week/month, set up recurring, automate this. Key signal: any mention of recurring, scheduled, daily, weekly, or automated execution means this skill, not ask. Not for one-time queries — use ask. Not for creating agents or tools — use configure." --- # Automate Create, manage, and debug automated workflows and schedules. ## Routing | User Intent | CLI Command | |---|---| | List workflows | `scripts/run-cli workflow list` | | Create a workflow | `scripts/run-cli workflow create` or `scripts/run-cli workflow create --from-template NAME` | | Run a workflow | `scripts/run-cli workflow execute ID [--dry-run]` | | Schedule a workflow | `scripts/run-cli schedule create` | | Enable/disable schedule | `scripts/run-cli schedule enable ID` / `scripts/run-cli schedule disable ID` | | Debug a failing workflow | See Diagnostics section below | ## Not This Skill - User wants to **run a one-time query** → use `ask` - User wants to **create an agent or tool** needed by a workflow → use `configure` - User wants to **create a data product** that a workflow will query → use `curate` Key distinction: "Set up a daily email report" is `automate`. "Set up an agent" is `configure`. The word "set up" alone is ambiguous — look for scheduling/recurring/automation language to choose `automate`. ## Creating Workflows ### Step 0: Verify the query works first Before building a flow, make sure the underlying query or task works interactively. Use the **ask** skill to run it once — if the query fails or the agent gives bad results, fix that before automating it. Debugging a broken query inside a scheduled flow is much harder than testing it interactively. ### Step 1: Look up the agent Before building a flow, identify which agent it should use. Both default agents (by ref name) and custom agents (by UUID) work in flows. Use the **configure** skill's agent commands to look up agents: ```bash # List all agents — look for the one that matches the user's intent scripts/run-cli agent list # Get a specific agent's config, including its input_json_schema scripts/run-cli agent get <agent_uuid> ``` The agent's `input_json_schema` tells you exactly what inputs the flow node needs. This matters because different agents require different inputs — a custom agent might need `project_name` and `report_type`, not just `message` and `data_product_id`. If the user has been working with a specific custom agent (e.g., they just created or configured one), use that agent's UUID — don't substitute a default agent. ### Step 2: Build the flow from a template or from scratch Three templates are available — list with `scripts/run-cli workflow templates`: 1. **agent-only** — Run a single agent. The simplest flow — good for running any agent on a schedule. Required: `name`, `agent_id`, `query` 2. **query-and-email** — Query a data product, email the results. Required: `name`, `agent_id`, `data_product_id`, `query`, `tool_id` (SMTP), `email`, `subject` 3. **query-only** — Query a data product (no email). Required: `name`, `agent_id`, `data_product_id`, `query` Example: `scripts/run-cli workflow create --from-template agent-only --agent-id <uuid> --query "Generate the weekly summary"` If the agent needs additional inputs beyond `message` (check `input_json_schema`), build the flow JSON from scratch instead. See `references/agent-schemas.md` for how to wire agent inputs into flow nodes — it covers both default and custom agents. ## Scheduling ```bash scripts/run-cli schedule create \ --workflow-id <uuid> \ --name "Weekly sales report" \ --cron "0 9 * * 1" \ --timezone "America/Los_Angeles" \ --timeout 60 ``` - Cron format: `minute hour day month weekday` (e.g., `0 9 * * 1` = Monday 9am) - Minimum interval: 60 minutes - `--timezone` defaults to `America/Los_Angeles` - `--timeout` defaults to 60 minutes - `--disabled` creates the schedule in disabled state (useful for testing) - Auth is handled automatically — the CLI finds the user's managed auth config - To manage existing schedules: `scripts/run-cli schedule list/get/enable/disable/delete` ## Diagnostics When a workflow or schedule isn't working, diagnose using the CLI: 1. **Schedule not firing?** - `scripts/run-cli schedule get <id>` — check `enabled` and `next_run_at` - If disabled, enable with `scripts/run-cli schedule enable <id>` - If `next_run_at` is in the past, the scheduler may be stalled — escalate to the user's admin 2. **Execution failing?** - `scripts/run-cli workflow list` — check recent execution status - Auth errors → use the **setup** skill to re-authenticate - Tool/agent not found → verify IDs with `scripts/run-cli tool list` / `scripts/run-cli agent list` 3. **Issues beyond CLI access** (stuck executions, duplicate runs, scheduler pod health) require admin/SRE intervention. Describe the symptoms to the user and suggest they contact their Alation administrator. ## Common Mistakes **Mistake:** Creating a new SMTP tool when the user asks to email results. Why it seems reasonable: the flow needs an email tool. Instead: List existing tools first (`scripts/run-cli tool list`). There is likely already an SMTP tool configured. Only create a new one if none exists. **Mistake:** Using a default agent when the user has a custom agent for the task. Why it seems reasonable: default agents are easier to reference. Instead: If the user created or configured a custom agent, use its UUID. Check `scripts/run-cli agent list` to find the right one. Look up its `input_json_schema` to know what inputs the flow node needs. **Mistake:** Hardcoding agent/tool IDs in the flow definition without verifying they exist. Why it seems reasonable: the user provided the names. Instead: Look up IDs using `scripts/run-cli agent list` or `scripts/run-cli tool list`. **Mistake:** Building a flow without checking what inputs the agent expects. Why it seems reasonable: most agents just need `message`. Instead: Run `scripts/run-cli agent get <uuid>` and check `input_json_schema`. Custom agents often need additional inputs like `data_product_id` or domain-specific parameters. **Mistake:** Guessing workflow or schedule fields after an unexpected API error. Why it seems reasonable: the flow JSON looks close to correct. Instead: Check the documented workflows API contract via the `docs` skill first. ## Sharing URLs After creating a workflow, share the `url` from the CLI response so the user can view it in the Alation UI. Schedule responses include a `workflow_url` pointing to the parent workflow. ## Red Flags - "I'll create an SMTP tool for this workflow" — check existing tools first. - "Let me build the flow JSON from scratch" — try templates first.
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.