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optimization

Use when improving performance, latency, throughput, memory usage, or general efficiency. Start by defining target metrics, measuring comprehensively, attributing bottlenecks, validating with static analysis, and prioritizing macro-optimizations before micro-optimizations.

70

Quality

86%

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SKILL.md
Quality
Evals
Security

Quality

Content

85%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 well-structured, self-contained methodology skill with a clear sequenced workflow, explicit feedback loop, and concrete checklists. Its only soft spots are minor verbosity and the lack of specific tooling commands for the measurement steps.

Suggestions

Trim redundant lines like "Do not optimize blindly" and the restated lead-ins so every line adds new information.

Add one or two concrete measurement examples (e.g., a profiler invocation or a benchmark command template) to make the "measure comprehensively" and "instrument the system" steps directly executable.

DimensionReasoningScore

Conciseness

Mostly lean and assumes Claude's competence (no basics explained), but a few lines could be trimmed such as "Do not optimize blindly" and the restated lead-ins to sections 2 and 3.

4 / 5

Actionability

Concrete checklists (metrics to track, static-analysis issues, macro levers like batching/caching/parallelism) give specific guidance, but it stops short of executable profiler commands or tool invocations for the measurement steps.

4 / 5

Workflow Clarity

An explicit 8-step Recommended workflow with a real feedback loop (Re-measure → Repeat until target met) plus a validation guardrail ("Do not claim an optimization without before/after evidence").

5 / 5

Progressive Disclosure

Self-contained methodology with clear section headers (Core principle, four numbered sections, Recommended workflow, Guardrails) and easy navigation; no external references are needed so the single well-organized file is appropriate.

5 / 5

Total

18

/

20

Passed

Description

88%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, third-person description that pairs an explicit Use-when trigger with a concrete sequence of optimization actions. It is comprehensive and specific, with only minor gaps in casual trigger phrasings and slight breadth from "general efficiency".

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "defining target metrics, measuring comprehensively, attributing bottlenecks, validating with static analysis, and prioritizing macro-optimizations" — giving comprehensive coverage of the optimization workflow.

5 / 5

Completeness

Explicitly answers both: the "what" (define metrics, measure, attribute, validate, prioritize) and the "when" ("Use when improving performance, latency, throughput, memory usage, or general efficiency").

5 / 5

Trigger Term Quality

Covers natural terms and synonyms ("performance, latency, throughput, memory usage, or general efficiency") but omits casual phrasings a user might say like "speed up", "make it faster", "slow", or "scale".

4 / 5

Distinctiveness Conflict Risk

Optimization is a distinct niche with specific triggers, but the broad tail "or general efficiency" creates minor overlap risk with refactoring or code-review skills.

4 / 5

Total

18

/

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

Total

15

/

16

Passed

Repository
1jehuang/jcode
Reviewed

Table of Contents

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