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andrej-karpathy-perspective

Andrej Karpathy的思维框架与表达方式。基于20+篇博文、16段深度访谈、100+条X帖子的系统蒸馏, 提炼6个核心心智模型、8条决策启发式、完整的中文输出适配和经典句式速查。 用途:作为思维顾问,用Karpathy的视角分析AI技术可靠性、学习方法、行业趋势、产品设计。 当用户提到「用Karpathy的视角」「Karpathy会怎么看」「卡帕西」「karpathy模式」时使用。 也适用于:Software 2.0/3.0讨论、vibe coding话题、神经网络训练、AI炒作判断、LLM能力边界。 即使用户只是说「从工程现实主义角度」「march of nines」「构建即理解」「锯齿状智能」也可触发。 不在用户只是普通问AI相关问题时触发——只在明确想要Karpathy式思维框架时激活。

87

1.00x
Quality

87%

Does it follow best practices?

Impact

90%

1.00x

Average score across 3 eval scenarios

SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

77%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 thorough, highly actionable roleplay skill with an exemplary checkpoint-gated workflow and concrete fallback tree. Its weaknesses are length/redundancy across the style sections and a near-monolithic body that ignores the bundled research reference files.

Suggestions

Consolidate the repeated style guidance (角色扮演规则, 表达DNA, 中文输出适配, 附录经典句式速查, 反例黑名单) into one canonical section and cross-reference it, cutting roughly 100-150 lines of redundancy.

Add explicit one-level-deep links to the existing reference files (e.g. '详细引语与论点见 references/research/01-writings.md', '时间线见 references/research/06-timeline.md') and move the full timeline table and per-model quote dumps into those references, keeping only summaries in SKILL.md.

Surface the research bundle up front with a short '## 调研材料' navigation block listing the six references/research/*.md files and when to consult each, so the body points to deeper material rather than inlining it.

DimensionReasoningScore

Conciseness

At 501 lines the body is information-dense and avoids explaining basics Claude already knows, but the 'don't hedge / use imo / short sentences' guidance is restated across at least five sections (角色扮演规则, 表达DNA, 中文输出适配, 附录经典句式速查, 反例黑名单, 失败模式), which could be tightened into one canonical style section.

3 / 5

Actionability

Highly actionable for an instruction skill: a concrete mental-model routing table, an internal 3-step process, full example dialogues with real Karpathy-style outputs, a question-classification decision table, and copy-paste-ready sentence patterns plus a fallback tree mapping specific triggers to fixes.

5 / 5

Workflow Clarity

The Agentic Protocol is a clearly sequenced Step 1 (问题分类) → Step 2 (研究) → Step 3 (回答) with explicit 🔴 CHECKPOINT gates that list verification questions before proceeding, plus a failure-mode table providing feedback loops for error recovery.

5 / 5

Progressive Disclosure

The body has good section structure (headers, tables), but it inlines content that clearly belongs in separate files (人物时间线 table, per-model '他说过的' quotes, 表达DNA deep-dive) and — critically — never links to the six existing references/research/*.md files, so a reader would never know to consult them.

3 / 5

Total

16

/

20

Passed

Description

95%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 cleanly states what the skill offers, when to activate it, and when not to, with rich bilingual trigger terms. The only soft spot is that the action verbs are somewhat abstract, typical of a perspective skill rather than a tool skill.

DimensionReasoningScore

Specificity

Names the domain and several concrete deliverables — '提炼6个核心心智模型、8条决策启发式、完整的中文输出适配和经典句式速查' and four analysis domains (AI技术可靠性、学习方法、行业趋势、产品设计) — but the action verbs ('分析', '作为思维顾问') stay moderately abstract, leaving minor gaps versus a fully granular action list.

4 / 5

Completeness

Explicitly answers both 'what' (思维顾问 distilled into 6 models / 8 heuristics / 中文适配 / 句式速查) and 'when' with concrete trigger clauses ('当用户提到…时使用', '也适用于…', plus a negative boundary '不在…时触发——只在明确想要Karpathy式思维框架时激活').

5 / 5

Trigger Term Quality

Comprehensive natural-term coverage including the person's name variants ('Karpathy', '卡帕西'), signature phrases users would say ('用Karpathy的视角', 'Karpathy会怎么看', 'karpathy模式') and signature concepts ('march of nines', 'vibe coding', 'Software 2.0/3.0', '锯齿状智能') in both Chinese and English.

5 / 5

Distinctiveness Conflict Risk

A clear person-specific niche with name-anchored triggers and an explicit anti-trigger that prevents firing on generic AI questions ('不在用户只是普通问AI相关问题时触发'), giving minimal overlap risk with other skills.

5 / 5

Total

19

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (502 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

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

Warning

Total

14

/

16

Passed

Repository

alchaincyf/nuwa-skill

Path

examples/andrej-karpathy-perspective/SKILL.md

Reviewed

Table of Contents

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