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
938 (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
已具备资格 自

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
1
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 944 个固定源文件

  • 0 已知
  • 0 提交中不存在
  • 0 文件列表截断
  • 0 不受支持
  • 944 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 938

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 201–220 条,共 938 条结果

  • data-feeds技能

    Extract structured data from 40+ websites including Amazon, LinkedIn, Instagram, TikTok, Facebook, YouTube, and more. Uses Bright Data's Web Data APIs with automatic polling. Returns clean JSON with product details, profiles, reviews, post…

  • data-scientist技能

    Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.

  • database-architect技能

    Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.

  • database-design技能

    Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

  • database-migration技能

    Master database schema and data migrations across ORMs (Sequelize, TypeORM, Prisma), including rollback strategies and zero-downtime deployments.

  • database-optimizer技能

    Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures.

  • database-schema-designer技能

    Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, a…

  • datacommons-client技能

    Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public d…

  • datadog-cli技能

    Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

  • datamol技能

    Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns nativ…

  • deadline-prep技能

    Generate a structured demo outline from your session's change log and git history. Reads .claude/critical_log_changes.csv and git log to produce presentation-ready talking points for end-of-day demos, standups, or delivery deadlines.

  • debugger技能

    Debugging specialist for errors, test failures, and unexpected

  • debugging-strategies技能

    Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches.

  • deep-research技能

    Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

  • deep-research-notebooklm技能

    Deep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google NotebookLM as the research engine, then delivers formatted briefs…

  • deepchem技能

    Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.

  • deeptools技能

    NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

  • denario技能

    Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executi…

  • dependabot-review技能

    Review and manage Dependabot PRs. Categorizes by risk, checks CI status, auto-merges safe updates, and reports issues. Use when the user says "review dependabot", "merge dependabot", "dependabot PRs", or "update dependencies".

  • dependency-updater技能

    Smart dependency management for any language. Auto-detects project type, applies safe updates automatically, prompts for major versions, diagnoses and fixes dependency issues.

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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没有记录到指向这个仓库的别名。

不支持的市场条目 0

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没有记录到不支持的条目。