create-invoke-task
SkillProductivityLets your agent write new Python invoke tasks for the dda CLI by asking questions and editing task files.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the create-invoke-task skill
About this capability
Create a new Python invoke task for the dda CLI
What this skill tells your AI
The instructions your AI receives, as published by datadog/datadog-agent in .agents/skills/create-invoke-task/SKILL.md and read by ahel’s review.
Create a new invoke task accessible via dda inv <namespace>.<task-name>.
Instructions
Step 1: Gather information from the user
Use AskUserQuestion to collect the following. If $ARGUMENTS provides values, skip those questions.
-
Task name: The function name (e.g.
build,refresh_assets). Underscores become hyphens in the CLI. -
Namespace: Which task module does it belong to?
- Existing module — Add to an existing file in
tasks/(e.g.agent,linter,dogstatsd). Checktasks/__init__.pyfor the full list. - New module — Create a new
tasks/<name>.pyfile and register it.
- Existing module — Add to an existing file in
-
What does the task do?: Brief description (becomes the docstring / help text).
-
Parameters: What CLI flags does the task need? (name, type, default value, description)
Step 2: Read a reference
Read an existing task file matching the desired complexity:
- Simple task (no params):
tasks/auth.py - Task with params: Pick any task from
tasks/agent.pyortasks/linter.py - Registration:
tasks/__init__.py— to see how modules and tasks are registered
Step 3: Create the task
Add the @task decorated function to the appropriate file. Follow the patterns from Step 2.
Key rules:
- First parameter is always
ctx(the invokeContext) - Use
ctx.run("command")to execute shell commands - Docstring first line = short description shown in
dda inv --list - Import from
invoke:task,Exit(for errors),Context
Step 4: Register (new modules only)
If you created a new module file, edit tasks/__init__.py:
- Add the import in the
from tasks import (...)block (alphabetical order) - Register it:
- As a namespace (most common):
ns.add_collection(<module>)— createsdda inv <module>.<task> - As a root task:
ns.add_task(<task>)— createsdda inv <task>
- As a namespace (most common):
If adding to an existing module, no registration is needed — invoke auto-discovers @task functions.
Step 5: Verify
Test the task:
dda inv <namespace>.<task-name> --help
Usage
/create-invoke-task— Interactive: prompts for all details/create-invoke-task agent my-task— Pre-fills namespace and name
Signals
- GitHub stars
- 4k
- Forks
- 1k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
create-invoke-task- Source
- github.com/datadog/datadog-agent