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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 621–640 条，共 942 条结果

  • Privilege Escalation Methods技能

    This skill should be used when the user asks to "escalate privileges", "get root access", "become administrator", "privesc techniques", "abuse sudo", "exploit SUID binaries", "Kerberoasting", "pass-the-ticket", "token impersonation", or ne…

    e945056ea182

  • product-decision-agent技能

    中文产品决策 Agent。用于中国大陆互联网产品、运营、增长、商业化、数据、项目推进和组织协作场景：产品规划、需求分析、PRD、需求优先级、排期、版本规划、Roadmap、MVP、灰度、上线、迭代、增长停滞、拉新、投放、渠道、裂变、CAC、LTV、ROI、留存、转化、DAU/MAU、GMV、漏斗、社区运营、内容供给、创作者、用户运营、活动运营、私域、会员、定价、指标异常、数据口径、埋点、A/B Test、用户反馈、客服/销售反馈、竞品冲击、资源不足、项目延期、需求反复、老板…

    e945056ea182

  • product-manager-toolkit技能

    Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement d…

    e945056ea182

  • product-strategist技能

    Strategic product leadership toolkit for Head of Product including OKR cascade generation, market analysis, vision setting, and team scaling. Use for strategic planning, goal alignment, competitive analysis, and organizational design.

    e945056ea182

  • production-code-audit技能

    Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations

    e945056ea182

  • professional-communication技能

    Guide technical communication for software developers. Covers email structure, team messaging etiquette, meeting agendas, and adapting messages for technical vs non-technical audiences. Use when drafting professional messages, preparing me…

    e945056ea182

  • programmatic-seo技能

    When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "com…

    e945056ea182

  • progressive-web-app技能

    Build Progressive Web Apps (PWAs) with offline support, installability, and caching strategies. Trigger whenever the user mentions PWA, service workers, web app manifests, Workbox, 'add to home screen', or wants their web app to work offli…

    e945056ea182

  • prometheus-configuration技能

    Complete guide to Prometheus setup, metric collection, scrape configuration, and recording rules.

    e945056ea182

  • prompt-cache-control插件

    Prompt-cache meter above the Claude Code prompt: how many tokens each request read from, wrote to and sent past the cache, a live countdown to the cache's expiry, and what to do about it (keep going, compact or clear). The TTL comes from t…

    0.1.0

  • prompt-caching技能

    Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, response cache, cag, cache augmented.

    e945056ea182

  • prompt-engineer技能

    Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt evaluation. Use when: prompt engineering, system prompt, few-shot, chain of thought, prompt des…

    e945056ea182

  • prompt-engineering技能

    Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.

    e945056ea182

  • prompt-engineering-patterns技能

    Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.

    e945056ea182

  • prompt-library技能

    Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examp…

    e945056ea182

  • protected-paths-guard插件

    Denies Edit, Write and NotebookEdit calls on sensitive paths (.env files, lockfiles, CI workflows, git internals, private keys) with a glob allowlist override. A tool.call hook with an array matcher.

    0.2.0

  • protocolsio-integration技能

    Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comm…

    e945056ea182

  • pubchem-database技能

    Query PubChem via PUG-REST API/PubChemPy (110M+ compounds). Search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics.

    e945056ea182

  • pubmed-database技能

    Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.

    e945056ea182

  • pudu-task-telemetry技能

    Measure local AI task latency, token usage, errors and verified outcomes using Pudu AI hardware evidence and installed Ollama models. Use when comparing local task runs, choosing a local model for a bounded subtask, or recording reproducib…

    e945056ea182

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

这个仓库的市场清单里、本站暂不支持的条目。它们是原样保存的来源数据，不会被抓取或执行。

没有记录到不支持的条目。