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common-performance-engineering

Enforce universal standards for high-performance development. Use when profiling bottlenecks, reducing latency, fixing memory leaks, improving throughput, or optimizing algorithm complexity in any language.

Quality

73%

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tessl review fix ./.github/skills/common/common-performance-engineering/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 concise, well-structured standards body with a clear profile-identify-fix-verify workflow and proper use of a one-level reference file. Its weaknesses are directive-level guidance lacking executable specifics, a dangling cross-skill reference link, and small sections of token noise (empty P0 heading, canonical anchors list).

Suggestions

Add executable specifics to the workflow and directives — e.g., concrete profiler invocations per major ecosystem, or a link from the Baseline step to a profiling/benchmark section in references/implementation.md.

Fix or remove the dangling "../../quality-engineering/quality-engineering-api-performance-testing/SKILL.md" reference, which does not resolve to any existing file.

Delete the empty "Priority: P0 (CRITICAL)" heading and the sparse "Canonical response anchors" section, and consolidate the duplicated async-I/O guidance, to remove tokens that add no actionable content.

DimensionReasoningScore

Conciseness

The body is terse and assumes Claude's competence ("Aim for O(1) or O(n); avoid O(n^2) in critical paths", "`Set` for lookups, `List` for iteration") with no explanations of known concepts. Minor trimmable noise keeps it from a 5: the contentless "**Priority: P0 (CRITICAL)**" heading, the sparse "Canonical response anchors" section listing only "lazy" and "premature", and duplicated async-I/O guidance between Network & I/O and Anti-Patterns.

4 / 5

Actionability

Directives name specific technologies and patterns ("`Set` for lookups", "Protobuf, JSON minification", "multi-level caching (Memory -> Storage -> Network)"), but stay at the advisory level — "Profile before changing anything — measure CPU, memory, and latency" names no profiler, command, or language-specific example, and executable detail is deferred to a thin references file. This matches the some-concrete-guidance-but-incomplete anchor rather than the mostly-executable anchor 4.

3 / 5

Workflow Clarity

The four-step sequence ("1. Baseline: Profile before changing anything... 4. Verify: Re-profile to confirm improvement and check for regressions") is clearly ordered with an explicit verification checkpoint. It stops short of anchor 5 because there is no recovery loop when verification finds a regression or no improvement, and steps reference no concrete commands.

4 / 5

Progressive Disclosure

The body is well organized into clear sections with a well-signaled, one-level-deep reference to references/implementation.md (verified to exist) and a closing References section. Not a 5: the cross-skill reference "../../quality-engineering/quality-engineering-api-performance-testing/SKILL.md" does not resolve to any real file in the environment, and the implementation.md link is repeated in two places for a file containing only two short snippets.

4 / 5

Total

15

/

20

Passed

Description

71%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 solid description with an explicit "Use when" clause containing five concrete trigger activities and good natural-vocabulary coverage. Its main weaknesses are the abstract "Enforce universal standards" framing for the capability statement and the universal "any language" scope that raises conflict risk with related performance skills.

Suggestions

Replace the abstract lead "Enforce universal standards for high-performance development" with concrete capability statements (e.g., "Profile bottlenecks, fix memory leaks, reduce latency, and improve throughput in code").

Narrow the universal scope claim ("universal standards", "in any language") or enumerate the specific languages/environments covered to reduce overlap with language-specific or API-testing performance skills.

Add natural trigger synonyms such as "slow", "speed up", and "scalability" to capture more phrasings users actually say.

DimensionReasoningScore

Specificity

The description lists several concrete activities ("profiling bottlenecks, reducing latency, fixing memory leaks, improving throughput, or optimizing algorithm complexity"), matching the several-specific-actions anchor. It falls short of a 5 because the leading capability statement "Enforce universal standards for high-performance development" is abstract rather than a concrete action.

4 / 5

Completeness

Both parts are present: a "what" ("Enforce universal standards for high-performance development") and an explicit "Use when profiling bottlenecks, reducing latency..." clause with concrete triggers. It sits between anchors 4 and 5 — the "when" is fully explicit, but the "what" is generic rather than the clear concrete capability list the anchor-5 example shows.

4 / 5

Trigger Term Quality

Terms like "profiling", "bottlenecks", "latency", "memory leaks", "throughput", and "optimizing" are phrases users naturally say when they need this skill, giving good keyword coverage. Not a 5 because common natural variations such as "slow", "speed up", "faster", and "scalability" are absent.

4 / 5

Distinctiveness Conflict Risk

The performance-engineering domain is somewhat specific, but "universal standards" and "in any language" claim maximal breadth, creating overlap risk with any language-specific optimization skill and with the API performance testing skill it cross-references. It is more overlap-prone than the "minor overlap" of anchor 4 but more defined than the very-broad anchor 2.

3 / 5

Total

15

/

20

Passed

Validation

81%

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

Validation — 13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

relative_links

Relative link issues: 2 suspicious

Warning

Total

13

/

16

Passed

Repository

HoangNguyen0403/agent-skills-standard

Path

.github/skills/common/common-performance-engineering/SKILL.md

Reviewed

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