karpathy-guidelines
De la autor
减少 LLM 常见编码错误的行为准则。在编写、审查或重构代码时使用，避免过度设计、精准修改、暴露假设、定义可验证的成功标准。
Instalare
npx skills add index-login/MobileRE-Skill --skill karpathy-guidelines -a claude-code
Se instalează în .claude/skills/karpathy-guidelines/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
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De ce 84
Securitate100
Proveniență68
Întreținere100
Licență100
Adopție39
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Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- llm-friendly-contextshinpr/claude-code-workflowsClarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream consumers can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.Productivitate★ 704
- agile-v-behavioralAgile-V/agile_v_skillsAnti-pattern prevention guidelines for Agile V agents. Prevents common LLM coding mistakes while maintaining Agile V traceability. Use when implementing requirements to avoid overcomplication, silent assumptions, scope creep, and verification failures.Planificare★ 54
- text-classificationscdenney/open-science-skillsAdvises on setting up and validating LLM text classification: codebook, learning regime and model choice, prompts, validation against human coding (kappa, F1), hybrid review, measurement error, and reporting, plus a short resumable batch pattern with a rule-based baseline. Use to classify, code, or label text at scale; category discovery goes to topic-modeling.Inginerie★ 69
- karpathygaasher/Agent-Loop-SkillsUse when the user wants the LLM to do its own ML research: a fully-autonomous loop that hacks the training code, runs it, and keeps changes that lower a single scalar metric (e.g. val_bpb). One agent proposes one change at a time, runs training in the user's env, keeps it only if the metric improves (advancing a git branch) else reverts, and loops forever until the human interrupts. A faithful adaptation of Karpathy's autoresearch. Not for the analysis-first variant that profiles before editing (that is ml-autoresearch), and not for a budgeted, plateau-stopping refactor.Știință★ 177
- llm-coding-guardrailsitseffi/agentic-osBehavioral guardrails to reduce common LLM coding mistakes with a caution-first approach.Inginerie★ 117
- prompt-engineeringgiuseppe-trisciuoglio/developer-kitProvides workflows to write, debug, and optimize prompts for LLMs, including few-shot example selection, chain-of-thought structuring, system prompt design, and template composition. Use when the user asks to write or improve a prompt, wants help with few-shot examples, chain-of-thought, system prompts, prompt templates, or asks how to get better results from an LLM.Design★ 363
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