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agent-orchestration

AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion. Use only for ongoing multi-agent coordination, not one-off list/detail/send/start/kill actions.

75

Quality

94%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

92%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.

An exemplary lean instruction-only skill: a tight supervision loop with explicit verification, escalation criteria, and completion conditions, all within ~25 well-organized lines. The sole gap is that the Act step names actions (approve, relay, escalate) without the specific commands that back them.

DimensionReasoningScore

Conciseness

The ~25-line body contains zero padding or explanations of concepts Claude already knows — every line is a rule, a command, a loop step, or a completion criterion, matching the lean/every-token-earns-its-place anchor.

5 / 5

Actionability

Concrete commands are given for scanning (`agent list --json`) and assessment (`detail --tail 10`), but the Act step only lists verbs ("approve, clarify, correct, delegate, relay, verify, or escalate") without the corresponding commands, leaving minor execution gaps that keep it below fully copy-paste-ready.

4 / 5

Workflow Clarity

The Loop is a clearly sequenced 5-step cycle with an explicit validation checkpoint ("Use `$verify` before accepting any agent's completion claim"), a built-in feedback loop (repeat until complete/blocked/stopped), and explicit completion criteria with a per-agent summary — matching the explicit-validation anchor rather than the minor-gaps profile of a 4.

5 / 5

Progressive Disclosure

Per the simple-skill guideline (under 50 lines, no external references needed), the well-organized Rules/Loop/Completion sections with clearly signaled cross-skill pointers ($agent-management, $agent-communication, $verify) earn full marks; no bundle files exist to misstructure.

5 / 5

Total

19

/

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.

A tight, high-quality description: it names a distinct supervision niche, lists comprehensive concrete actions, and gives explicit positive and negative trigger guidance that separates it from adjacent agent-management skills. The only shortcoming is modest synonym coverage in its trigger vocabulary.

DimensionReasoningScore

Specificity

The description enumerates six concrete, distinct actions ("poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion") within a named domain ("Supervise multi-agent workflows over repeated passes"), which is comprehensive coverage rather than the minor-gaps profile of a 4.

5 / 5

Completeness

It explicitly answers both what ("Supervise multi-agent workflows... poll progress... verify completion") and when ("Use only for ongoing multi-agent coordination"), with concrete negative triggers ("not one-off list/detail/send/start/kill actions") sharpening the when-clause rather than leaving it implicit as a 4 would.

5 / 5

Trigger Term Quality

Natural phrases like "multi-agent workflows", "unblock waiting agents", "resolve conflicts", and "coordinate" are present, but common user synonyms such as "agent stuck", "agent loop", or "supervise agents" are missing — good coverage without the synonym-level breadth of a 5.

4 / 5

Distinctiveness Conflict Risk

The explicit boundary "Use only for ongoing multi-agent coordination, not one-off list/detail/send/start/kill actions" carves out a clear niche and actively prevents confusion with related single-action skills, matching the minimal-conflict anchor.

5 / 5

Total

19

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
codeaholicguy/ai-devkit
Reviewed

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