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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.

80

Quality

100%

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SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

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

The body is a tight, actionable reference: executable commands, a sequenced workflow with verification checkpoints, and well-organized sections. It assumes Claude's competence and contains no padding or unnecessary explanation.

DimensionReasoningScore

Conciseness

The body is lean — compact command list, terse workflow, and only high-value prose such as 'Partial matches... risk sending work to the wrong agent'; it avoids explaining concepts Claude already knows. Every token earns its place, matching the score-3 anchor.

3 / 3

Actionability

Commands are fully executable with real flags (e.g. 'agent start --type codex --name <name> --cwd <path>' and 'agent send --id <name> --wait --timeout 120000 --json ...') plus a copy-paste-ready assignment example, meeting the score-3 'copy-paste ready' bar.

3 / 3

Workflow Clarity

A clear six-step sequence includes explicit checkpoints ('Inspect before acting' and 'Verify completed work before reporting it done'), so it rises above the score-2 'checkpoints missing or implicit' anchor. It is not a destructive/batch operation and verification is present, so it is not capped at 2.

3 / 3

Progressive Disclosure

Under 50 lines with no external references needed, the content is organized into well-signaled sections (Workflow, Commands, Assignment Rules), which the rubric's simple-skills note says can score 3.

3 / 3

Total

12

/

12

Passed

Description

100%Weight 40%Scale 1-3

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 concise, third-person, and lists concrete capabilities with an explicit 'Use when...' trigger clause. It clearly distinguishes the ai-devkit agent-management niche and is unlikely to conflict with other skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'identify itself, list agents, start workers, inspect agent detail, assign work, group agents, resume sessions, stop agents, or delegate work' — matching the score-3 anchor.

3 / 3

Completeness

Explicitly answers what ('Manage running AI agents with ai-devkit agent commands') and when (a 'Use when...' clause enumerating triggers), satisfying the score-3 anchor; not capped at 2 because the trigger guidance is explicit.

3 / 3

Trigger Term Quality

'Use when an agent needs to...' followed by natural phrasings like 'list agents', 'start workers', 'assign work', 'stop agents' gives good coverage of terms a user would say. It is not merely technical jargon, so it clears the score-3 bar rather than stopping at 2.

3 / 3

Distinctiveness Conflict Risk

The 'ai-devkit agent' niche and its enumerated triggers are distinct and unlikely to fire for unrelated skills, matching the score-3 anchor; it is far more specific than the score-2 'Works with document files' example.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
codeaholicguy/ai-devkit
Reviewed

Table of Contents

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