create-invoke-task

Create a new Python invoke task for the dda CLI

Quality

55%

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./.claude/skills/create-invoke-task/SKILL.md

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-structured skill with a clear workflow for creating invoke tasks. Its main strength is the concise, well-sequenced steps that guide Claude through information gathering, reference reading, implementation, and verification. The primary weakness is the lack of a concrete, executable code example showing a complete task definition, which would make the skill more immediately actionable.

Suggestions

Add a complete, copy-paste-ready code example of a task definition with parameters (e.g., a minimal @task function with ctx, a string param, and ctx.run()) to improve actionability.

Consider including a small inline template showing the exact import block and function signature pattern rather than just describing the conventions in prose.

Dimension	Reasoning	Score
Conciseness	The content is lean and efficient. It doesn't explain what invoke is, what decorators are, or how Python imports work. Every section serves a clear purpose and assumes Claude's competence with Python tooling.	3 / 3
Actionability	The skill provides clear steps and references specific files to read, but lacks executable code examples for the task definition itself. It describes patterns ('use @task decorator', 'first param is ctx') rather than showing a complete, copy-paste-ready task template with parameters.	2 / 3
Workflow Clarity	The 5-step workflow is clearly sequenced with logical progression: gather info → read reference → create task → register if needed → verify. The verification step with a concrete bash command serves as a validation checkpoint, and the conditional registration step (Step 4) handles branching cleanly.	3 / 3
Progressive Disclosure	The skill references specific files to read (tasks/auth.py, tasks/agent.py, tasks/__init__.py) which is good progressive disclosure to the codebase. However, with no bundle files provided, there are no supporting reference documents, and the skill inlines all content in a single file which works for this length but could benefit from a template file reference.	2 / 3
	Total	10 / 12 Passed

Description

32%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is terse and narrowly scoped, identifying a specific tool (dda CLI) and framework (Python invoke) but failing to provide explicit trigger guidance or elaborate on the concrete actions involved. It lacks a 'Use when...' clause, which is critical for skill selection, and does not cover enough natural trigger terms to reliably match user requests.

Suggestions

Add an explicit 'Use when...' clause, e.g., 'Use when the user asks to add a new command, task, or subcommand to the dda CLI using Python invoke.'

Include additional trigger terms and variations such as 'pyinvoke', 'tasks.py', 'dda command', 'CLI task', 'new subcommand'.

Expand the capability description with more concrete actions, e.g., 'Scaffolds a new invoke task file, registers it in the task namespace, and adds argument parsing for the dda CLI.'

Dimension	Reasoning	Score
Specificity	Names a specific domain (Python invoke task for dda CLI) and one action (create), but does not list multiple concrete actions or elaborate on what creating such a task entails.	2 / 3
Completeness	Describes what it does (create a new Python invoke task) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. Per rubric guidelines, missing 'Use when' caps completeness at 2, and the 'what' is also minimal, warranting a 1.	1 / 3
Trigger Term Quality	Includes relevant keywords like 'Python', 'invoke task', and 'dda CLI' that a user familiar with the project might use, but misses common variations or synonyms (e.g., 'pyinvoke', 'tasks.py', 'command', 'new task').	2 / 3
Distinctiveness Conflict Risk	The mention of 'dda CLI' and 'invoke task' provides some specificity, but 'create a new Python' could overlap with general Python scaffolding or CLI-related skills. It's somewhat distinctive but not clearly delineated.	2 / 3
	Total	7 / 12 Passed

Validation

81%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 9 / 11 Passed

Validation for skill structure

Criteria	Description	Result
allowed_tools_field	'allowed-tools' contains unusual tool name(s)	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	9 / 11 Passed

Repository: DataDog/datadog-agent
Commit: 409dcc9

Reviewed: about 10 hours ago

Table of Contents

Discovery Implementation Validation

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