agent-management

AI DevKit · Manage running AI agents with ai-devkit agent commands. Use when an agent needs to identify itself, list agents, start workers, inspect agent detail, assign work, group agents, resume sessions, stop agents, or delegate work to other agents.

Quality

86%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

80%Weight 40%Scale 1-5

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

The body is tight, executable, and well-organized for a simple single-purpose skill. Its main weakness is that destructive/batch operations (kill, group sends) lack an explicit validation checkpoint, capping workflow clarity.

Suggestions

Add an explicit validation checkpoint before destructive/batch actions, e.g. run 'ai-devkit agent detail --id <name> --json' and confirm the agent/task before 'kill' or group 'send'.

Make the 'verify completed work' step concrete with a command or acceptance check (e.g. re-run 'detail --tail 20' and confirm exit status) rather than leaving it as a directive.

Flag the broadcast/group send rule with an explicit pre-check that every member truly applies, to satisfy the batch-operation feedback-loop expectation.

Dimension	Reasoning	Score
Conciseness	Lean, command-focused body with no padding about what agents are; a few assignment rules and the workflow intro could be tightened slightly, keeping it just below a 5.	4 / 5
Actionability	Fully executable commands with exact flags plus a concrete worked 'agent send' example, copy-paste ready and covering the common cases per the score-5 anchor.	5 / 5
Workflow Clarity	A numbered workflow exists with inspect-before-acting and verify-before-reporting, but for destructive/batch operations (kill, group broadcast) validation is implicit rather than an explicit checkpoint command, so the destructive-skill cap of 3 applies.	3 / 5
Progressive Disclosure	Under 50 lines with no need for external references, organized into clear sections (Workflow, Commands, Assignment Rules), satisfying the simple-skill exception for a 5.	5 / 5
	Total	17 / 20 Passed

Description

92%Weight 40%Scale 1-5

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 third-person, concise, and explicitly pairs capabilities with a concrete 'Use when' trigger list. It is comprehensive and highly distinct; the only minor gap is synonym/extension coverage in trigger terms.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions (identify itself, list agents, start workers, inspect detail, assign work, group, resume sessions, stop, delegate), matching the comprehensive coverage of the score-5 anchor.	5 / 5
Completeness	Explicitly answers both what ('Manage running AI agents with ai-devkit agent commands') and when (a concrete 'Use when...' trigger list), matching the score-5 anchor.	5 / 5
Trigger Term Quality	Strong 'Use when' clause enumerates many natural trigger phrases ('list agents', 'start workers', 'assign work'), but lacks synonym/extension variations that would push it to a 5.	4 / 5
Distinctiveness Conflict Risk	A clear agent-management niche tied to specific ai-devkit subcommands gives it distinct triggers and minimal overlap with other skills.	5 / 5
	Total	19 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: codeaholicguy/ai-devkit
Path: skills/agent-management/SKILL.md
Commit: d56e554

Reviewed: 3 days ago

Table of Contents

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