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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.

72

Quality

89%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

86%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.

A tight, well-structured orchestration skill with concrete commands and a clear loop. Tightening the verify step into an explicit validation-with-feedback checkpoint and adding a concrete completion-check command would lift it further.

Suggestions

Make the completion/verification step a hard checkpoint: name the concrete command used to verify an agent's claim (e.g. a specific `verify` invocation) and the retry/escalate path on failure.

Add one copy-paste-ready example of a single pass (scan command -> assess command -> act) so the loop is unambiguous to execute.

DimensionReasoningScore

Conciseness

Lean, no padded explanations of concepts Claude already knows; every section (Rules, Loop, Completion) earns its place and assumes competence.

5 / 5

Actionability

Provides concrete executable commands ('agent list --json', 'detail --tail 10') and a concrete sleep range, but guidance is procedural prose rather than copy-paste-ready code blocks for the common cases.

4 / 5

Workflow Clarity

A clearly sequenced five-step loop with an explicit verify step and escalation rules; however the verify checkpoint is implicit rather than a hard validation-with-feedback gate, which matters for batch/coordination operations.

4 / 5

Progressive Disclosure

Under 50 lines, single-purpose, with well-organized sections (Rules, Loop, Completion) and no external bundle files needed; meets the simple-skill bar for a 5.

5 / 5

Total

18

/

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 strong, specific description that names concrete actions, gives explicit when-to-use guidance, and actively disambiguates from adjacent skills. The only minor gap is trigger-term naturalness leaning slightly jargon-heavy.

Suggestions

Add one or two layperson trigger phrasings (e.g. 'keep multiple agents on task' or 'when agents are waiting on each other') alongside the domain terminology.

DimensionReasoningScore

Specificity

Lists multiple concrete supervision actions — 'poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion' — giving comprehensive coverage of the skill's capabilities.

5 / 5

Completeness

Clearly answers 'what' (supervise multi-agent workflows over repeated passes with listed actions) and 'when' with an explicit trigger clause ('Use only for ongoing multi-agent coordination, not one-off list/detail/send/start/kill actions').

5 / 5

Trigger Term Quality

Includes natural phrases like 'multi-agent coordination' and 'multi-agent workflows', but the vocabulary leans toward domain jargon and misses some common layperson phrasings a user might naturally say.

4 / 5

Distinctiveness Conflict Risk

An explicit negative-scope clause demarcates it from one-off list/detail/send/start/kill actions and points to sibling skills, giving a clear niche with minimal conflict risk.

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
codeaholicguy/ai-devkit
Reviewed

Table of Contents

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