CtrlK
BlogDocsLog inGet started
Tessl Logo

performance-profiling

Performance profiling principles. Measurement, analysis, and optimization techniques.

53

Quality

60%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/performance-profiling/SKILL.md

The canonical home for this skill is performance-profiling in administrakt0r/AI-Agents-Safe-Coding-Skills

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.

The body is a well-structured, concise reference covering Core Web Vitals, profiling workflow, bundle/runtime analysis, and quick wins, with a real executable script and a clear measure-identify-fix-validate loop. Its main weakness is actionability: most optimization 'actions' are short hints rather than concrete commands or code.

Suggestions

Turn the 'Optimization Actions' and 'Quick Win Priorities' tables into concrete, runnable examples (e.g. the exact compression/caching config or a code-split import snippet) rather than short hint phrases.

Replace the vague 'When to Use' line with a concrete trigger list mirroring the description, or remove it to save tokens.

Add a concrete validation step to the 4-step workflow (e.g. re-run `scripts/lighthouse_audit.py <url>` and compare the performance score to the baseline) so the loop has a real feedback/retry checkpoint.

DimensionReasoningScore

Conciseness

The body is table-driven and dense, does not over-explain concepts Claude already knows (it does not define Lighthouse or Core Web Vitals), and mostly earns its tokens; minor trims like the generic 'When to Use' line and the decorative emoji headers keep it just below the lean level-5 anchor.

4 / 5

Actionability

It offers one fully executable command (the lighthouse_audit.py invocation, backed by a real script) and clear tool-selection tables, but most 'actions' ('Import specific modules', 'Dedupe, update versions', 'Enable compression', 'Code split') are high-level hints without specific commands or code, matching the 'some concrete guidance but incomplete; missing key details' anchor.

3 / 5

Workflow Clarity

The 4-step process (BASELINE -> IDENTIFY -> FIX -> VALIDATE) is a clearly sequenced loop with an explicit validation step, matching 'clear sequence with most checkpoints present'; it stops short of 5 because validation is conceptual ('Confirm improvement') rather than a concrete feedback/retry loop with error recovery.

4 / 5

Progressive Disclosure

Content is well-organized into clearly headed sections and the one bundle file (scripts/lighthouse_audit.py) is real and surfaced in a clearly signaled table at one level of depth; it is not 5 because all detailed reference tables are inlined rather than split into separate reference files for deeper material.

4 / 5

Total

15

/

20

Passed

Description

53%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.

The description clearly states the domain and high-level activities but lacks a 'Use when...' trigger clause and natural user-facing trigger phrases, leaving completeness and trigger-term quality capped at 3. It is reasonably distinct from other skills.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user asks to speed up a slow site, audit Core Web Vitals, reduce bundle size, or run a Lighthouse audit.'

Replace generic process terms ('Measurement, analysis, and optimization techniques') with concrete capabilities ('run Lighthouse audits, analyze Core Web Vitals, trim bundle size, find runtime bottlenecks').

Include natural synonyms users actually say (Lighthouse, Core Web Vitals, page load speed, jank) to improve trigger-term coverage.

DimensionReasoningScore

Specificity

The description names the domain ('Performance profiling principles') and lists three action-oriented terms ('Measurement, analysis, and optimization techniques'), but these are generic process phases rather than concrete actions, matching the 'names domain and 1-2 concrete actions but not comprehensive' anchor and falling short of the specific-action examples at level 4.

3 / 5

Completeness

It provides a clear 'what' (measurement, analysis, optimization) but no 'Use when...' clause or equivalent explicit trigger guidance; per the judging guideline a missing trigger clause caps completeness at 3 even though the 'what' is reasonably stated.

3 / 5

Trigger Term Quality

'Performance profiling' is a relevant keyword a user might say, but the rest ('measurement, analysis, and optimization techniques') leans technical and omits the natural phrases users actually voice ('slow page load', 'Core Web Vitals', 'Lighthouse audit', 'bundle size'), matching the 'some relevant keywords but missing common variations or synonyms' anchor.

3 / 5

Distinctiveness Conflict Risk

'Performance profiling' is a reasonably distinct niche with minor overlap risk against general debugging or web-dev skills, matching the 'mostly distinct; minor overlap risk with closely related skills' anchor rather than the broader level 3.

4 / 5

Total

13

/

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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-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.