CtrlK
BlogDocsLog inGet started
Tessl Logo

orchestrating-multi-agent-systems

Execute orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers. Use when building complex AI systems requiring agent collaboration, task delegation, or workflow coordination. Trigger with phrases like "create multi-agent system", "orchestrate agents", or "coordinate agent workflows".

61

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

57%

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

The body is well-structured with clean progressive disclosure to real reference files and a useful error-handling table, but it lacks executable code and interleaved validation checkpoints, leaving the core implementation steps abstract. Conciseness is good but slightly diluted by redundant output restatement and vague resource pointers.

Suggestions

Add at least one minimal executable code snippet in the Instructions (e.g. an ai.tool()/ai.handoff() definition or a tsconfig.json snippet) so the core steps are actionable without opening implementation.md.

Interleave validation checkpoints between steps (e.g. after step 5 verify handoff rules have a maxDepth guard, after step 7 confirm the workflow compiles) instead of concentrating testing only in step 10.

Tighten the Resources section by either linking each pointer or removing vague unlinked items ('Coordinator-worker and supervisor orchestration pattern references') to improve token efficiency.

DimensionReasoningScore

Conciseness

The body is largely lean and does not over-explain concepts Claude already knows, but the Output section restates the Instructions' deliverables and the Resources section includes vague unlinked pointers ('Provider integration guides', 'OpenTelemetry tracing for multi-agent observability') that could be tightened.

2 / 3

Actionability

It names concrete APIs and config values (ai.tool(), ai.handoff(), npm install commands, ES2022/moduleResolution bundler, env var names) and gives a specific error table, but provides no executable code blocks in the body, deferring all implementation to references/implementation.md, leaving the core steps incomplete for direct execution.

2 / 3

Workflow Clarity

Ten steps are clearly numbered and sequenced with a terminal validation step (step 10) and an error-handling table for recovery, but validation checkpoints are not interleaved between steps and the steps themselves are high-level, so checkpoints are implicit rather than explicit.

2 / 3

Progressive Disclosure

The body is an overview that clearly signals one-level-deep references to real files (references/implementation.md, references/errors.md, references/examples.md, all confirmed present) with well-organized bundle folders for scripts and assets, giving easy navigation.

3 / 3

Total

9

/

12

Passed

Description

90%

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 cleanly states capability and trigger conditions with natural trigger phrases and a clear niche, though a grammar error ('Execute orchestrate') and somewhat abstract action nouns slightly weaken specificity. Voice is appropriately third-person imperative.

Suggestions

Fix the broken leading verb phrase 'Execute orchestrate multi-agent systems' to a single concrete imperative such as 'Orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers'.

Replace abstract capability nouns with concrete verbs (e.g. 'define agent roles, wire handoffs, route requests, and coordinate workflows') to lift specificity to the top anchor.

DimensionReasoningScore

Specificity

Names the domain and several actions ('handoffs, routing, and workflows across AI providers') but the leading verb phrase 'Execute orchestrate' is garbled and the actions are abstract nouns rather than concrete verbs like 'extract'/'fill'/'merge', so it does not reach the multiple-concrete-actions anchor.

2 / 3

Completeness

It answers both 'what' ('Execute orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers') and 'when' with an explicit 'Use when building complex AI systems requiring agent collaboration, task delegation, or workflow coordination' clause plus trigger phrases.

3 / 3

Trigger Term Quality

Explicit natural trigger phrases a user would actually say are provided: "create multi-agent system", "orchestrate agents", or "coordinate agent workflows", giving good coverage of natural terms.

3 / 3

Distinctiveness Conflict Risk

The multi-agent orchestration niche with handoffs/routing/workflows and distinct triggers like 'orchestrate agents' is clearly distinguishable and unlikely to fire for unrelated skills.

3 / 3

Total

11

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

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

14

/

16

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.