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agent-orchestration-multi-agent-optimize

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

55

Quality

69%

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tessl review fix ./skills/agent-orchestration-multi-agent-optimize/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

42%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 establishes a sound meta-frame (design guide, not a framework; measure against baseline) and has pockets of genuinely concrete guidance, but the bulk is buzzword bullet padding and non-executable design sketches. It reads more like a capability brochure than an actionable skill, and everything lives inline in one long file with no progressive disclosure.

Suggestions

Cut the buzzword-only bullet sections (Core Capabilities, Optimization Techniques, Key Strategies, Performance Acceleration, Optimization Spectrum, Observability Framework) or replace them with concrete guidance; they restate what Claude already knows about performance engineering.

Merge the overlapping process guidance (Instructions, Safety, Key Considerations, Reference Workflows) into one workflow with explicit validation checkpoints — e.g., how to establish the baseline, what metric thresholds decide success, and how to roll back.

Split detail-heavy material (the design sketches and cost decision procedure) into reference files under references/ so SKILL.md is a lean overview, which would also improve progressive disclosure.

DimensionReasoningScore

Conciseness

Multiple sections are padded buzzword bullet lists Claude already knows — 'Intelligent multi-agent coordination', 'Adaptive optimization strategies', 'Predictive caching', 'Machine learning-driven improvement' — that add no instruction. Not a 1 because there is genuinely useful dense content (the cost decision procedure, execution boundaries, limitations section) that earns its tokens.

2 / 5

Actionability

There is some concrete procedural guidance (the cost decision procedure, execution boundaries, the four-step Instructions), but the code blocks are explicitly 'not executable' design sketches ('Profiling design sketch (not executable)') and most sections give only vague bullets like 'Real-time metrics collection and analysis'. Not a 2 because the sketch status is explicitly justified as a design guide and the textual procedures carry real, followable detail; not a 4 because no runnable code, commands, or specific tools are provided anywhere.

3 / 5

Workflow Clarity

The Instructions section lists a coherent sequence (baseline → profile → apply incrementally → validate with tests and rollbacks), and Safety mentions regression testing, so validation is named but only abstractly. Not a 4 because there are no concrete checkpoints or validation criteria (no commands, thresholds, or pass/fail checks) attached to any step; not a 2 because the sequence is ordered, incremental, and validation/rollback is at least stated.

3 / 5

Progressive Disclosure

The body is well-sectioned with clear headers, but it is a ~230-line monolithic file with no references/, scripts/, or assets/ — content like the eight numbered design sections and reference workflows is all inline where a split (e.g., design sketches or workflow details into reference files) would serve better. Not a 4 because nothing is offloaded to separate navigable files; not a 2 because the header structure does make the inline content reasonably navigable.

3 / 5

Total

11

/

20

Passed

Description

83%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 well-formed description with an explicit what-and-when structure and natural trigger terms. It could be slightly more distinctive and include more trigger synonyms (latency, bottlenecks), but it clearly communicates scope and intent.

DimensionReasoningScore

Specificity

The description lists several specific actions — 'coordinated profiling, workload distribution, and cost-aware orchestration' — for a named domain (multi-agent systems). It falls just below a 5 because the actions are system-level abstractions rather than concrete operations, and slightly above a 3 because it covers three distinct capability areas with only minor gaps.

4 / 5

Completeness

It explicitly answers both questions: what it does ('Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration') and when to use it ('Use when improving agent performance, throughput, or reliability') with concrete trigger phrases. Not a 4 because the 'when' clause is already explicit and trigger-specific, not merely present-but-vague.

5 / 5

Trigger Term Quality

Natural phrases users would say are present: 'improving agent performance', 'throughput', 'reliability', 'multi-agent systems'. Not a 5 because common variations users would say such as 'latency', 'bottlenecks', 'agent coordination', or 'cost reduction' are missing; not a 3 because coverage goes beyond a couple of generic keywords.

4 / 5

Distinctiveness Conflict Risk

'Multi-agent systems' plus performance/throughput/reliability triggers carve a fairly distinct niche unlikely to fire for unrelated skills. Not a 5 because the general 'optimize performance' framing could overlap with single-agent tuning or generic profiling/optimization skills; not a 3 because the multi-agent orchestration framing meaningfully narrows it.

4 / 5

Total

17

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

sickn33/agentic-awesome-skills

Path

skills/agent-orchestration-multi-agent-optimize/SKILL.md

Reviewed

Table of Contents

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