claudemods

来源davila7/claude-code-templates

davila7/claude-code-templates 已索引

CLI tool for configuring and monitoring Claude Code

查看上游仓库

已索引 索引里有这个仓库的包记录。包数量是历史登记记录,不代表这些包现在仍可用。

仓库

规范名称
davila7/claude-code-templates
GitHub 仓库 ID
1013480284
包记录
942 (历史登记记录,不代表现在仍可用)

发现与队列

首个记录来源
seed
发现于
队列状态
ok
记录的错误次数
0
最近完成的处理
下次检查资格
起具备资格

首个记录来源是队列第一次保存的来源,不是完整的发现历史。错误次数在处理以错误状态结束时增加,成功处理后清零,不是全部尝试次数。「最近完成的处理」是结束时间,不是开始时间。

资格按 计算。它不是排期:采集器每次运行只处理有限数量的来源,具备资格也不保证何时检查。

最近保存的扫描

仓库元数据读取于
扫描状态
complete
扫描保存于
识别器版本
2
续扫记录
没有

扫描记录与队列状态分开:队列状态说明处理进度,扫描记录说明最近一次保存了什么。有续扫记录只表示存有未完成的状态,没有剩余数量。

源文件证据覆盖

已存储的包版本在这个仓库中引用的固定源文件的原始计数。它反映已记录了什么,不代表仓库有多完整。

范围与限制

统计所有已存储版本(来自任何包)中指向本仓库规范名称的不同固定文件链接(仓库、提交、路径)。本仓库所拥有的包的文件,只有被某个版本在这里链接时才会计入。不合并别名,也不会根据当前名称推测历史。

「已知」表示已记录普通文件身份,不表示整个目录或包已被覆盖。不是有效固定文件 URL 的链接不计入。

引用了 983 个固定源文件

  • 983 已知
  • 0 提交中不存在
  • 0 文件列表截断
  • 0 不受支持
  • 0 尚无记录
  • 0 读取失败

按仓库、提交和路径去重;同一路径出现在两个提交中,按两个文件身份计数。不是组件组数。

读取失败的提交 0

尚无记录的文件没有对应的提交读取失败记录。

关联的包 942

按仓库的已验证身份关联。数量是历史登记记录,不是当前可用性。

第 441–460 条,共 942 条结果

  • linear-tickets插件

    Your Linear tickets in a side pane, with their status and a chart of how you are progressing: tickets grouped by state (in progress, todo, backlog, done), a stacked status bar, a bar chart of tickets closed per day over the last two weeks …

  • linkedin-profile-optimizer技能

    Optimize a LinkedIn profile for searchability, recruiter visibility, and engagement. Use when the user mentions LinkedIn profile, headline, About section, recruiter visibility, or social hiring.

  • lint-and-validate技能

    Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, types, static analysis.

  • Linux Privilege Escalation技能

    This skill should be used when the user asks to "escalate privileges on Linux", "find privesc vectors on Linux systems", "exploit sudo misconfigurations", "abuse SUID binaries", "exploit cron jobs for root access", "enumerate Linux systems…

  • Linux Production Shell Scripts技能

    This skill should be used when the user asks to "create bash scripts", "automate Linux tasks", "monitor system resources", "backup files", "manage users", or "write production shell scripts". It provides ready-to-use shell script templates…

  • literature-review技能

    Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synth…

  • llama-cpp技能

    Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× s…

  • llama-factory技能

    Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support

  • llamaguard技能

    Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, HuggingFace, Sagemaker. Int…

  • llamaindex技能

    Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, kn…

  • llava技能

    Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instructio…

  • llm-app-patterns技能

    Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

  • llm-evaluation技能

    Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.

  • llm-ops技能

    LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.

  • loki-mode技能

    Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to …

  • long-context技能

    Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementin…

  • luma-imagegen技能

    Use when the user asks to generate images via the Luma AI API (Dream Machine / Photon); collects a prompt and options interactively, then calls the API using the bundled script. Requires LUMA_API_KEY — will prompt the user if missing.

  • mac-storage-cleaner技能

    Safely reclaim disk space on a Mac — the trustworthy, transparent, reversible alternative to CleanMyMac and similar tools. Use whenever the user says their Mac disk or storage is full or nearly full, gets a "startup disk almost full" / low…

  • mamba-architecture技能

    State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8…

  • Manifest技能

    Install and configure the Manifest observability plugin for your agents. Use when setting up telemetry, configuring API keys or endpoints, troubleshooting plugin connection issues, or verifying the observability pipeline is running.

已保存的扫描说明 0

没有保存额外的扫描说明。

记录的别名 0

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不支持的市场条目 0

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