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andrej-karpathy

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

67

Quality

81%

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SKILL.md
Quality
Evals
Security

Quality

Content

78%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, lean instruction skill with actionable behavioral directives and concrete examples. The main gap is that the plan/verification template is generic rather than a concrete validate-fix-retry loop.

DimensionReasoningScore

Conciseness

Lean bullet-driven sections with no over-explanation of basic concepts Claude already knows; minor repetition between the 'When to Use This Skill' list and the description keeps it just below a 5.

4 / 5

Actionability

Concrete behavioral directives ('State your assumptions explicitly', 'Match existing style') and concrete transform examples ('Add validation' -> 'Write tests for invalid inputs, then make them pass') give mostly executable guidance; the plan template is a skeletal placeholder rather than fully concrete, capping it at 4.

4 / 5

Workflow Clarity

Clear sequenced sections (Think Before Coding, Simplicity First, Surgical Changes, Goal-Driven Execution) with verify checkpoints ('verify: [check]', 'Loop until verified'); not a 5 because the verification loop is described generically rather than as an explicit validate->fix->retry feedback loop with concrete checks.

4 / 5

Progressive Disclosure

Well-organized into clearly signaled sections with no nested or missing references; as a self-contained behavioral-guideline skill with no need for bundle files, the structure is easy to navigate and content is appropriately placed inline.

5 / 5

Total

17

/

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 strong, concise description that clearly states what the skill does and when to use it with concrete behavioral triggers. Minor improvements possible via additional natural synonyms and tighter distinctiveness from generic code-review skills.

DimensionReasoningScore

Specificity

Lists several concrete actions ('writing, reviewing, or refactoring code', 'make surgical changes', 'surface assumptions', 'define verifiable success criteria') rather than vague language, with only minor coverage gaps; not a 5 because the actions are behavioral directives rather than a comprehensive enumerated operation set.

4 / 5

Completeness

Explicitly answers both 'what' ('Behavioral guidelines to reduce common LLM coding mistakes') and 'when' ('Use when writing, reviewing, or refactoring code...') with concrete trigger phrases, matching the 5-anchor example.

5 / 5

Trigger Term Quality

Includes natural user phrases ('writing, reviewing, or refactoring code') that a user would actually say, with good keyword coverage; not a 5 because synonyms/common variations (e.g. 'debugging', 'cleaning up code') are absent.

4 / 5

Distinctiveness Conflict Risk

Has a distinct niche (LLM-coding behavioral guardrails, surgical changes, verifiable success criteria) with minor overlap risk against general code-review skills; not a 5 because 'writing/reviewing/refactoring code' is broad enough to compete with related coding skills.

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.

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
sickn33/antigravity-awesome-skills
Reviewed

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