claudemods

来源developersglobal/ai-agent-skills

developersglobal/ai-agent-skills 已索引

AI agent skills for production grade applications

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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
DevelopersGlobal/ai-agent-skills
GitHub 仓库 ID
1226349980
包记录
31 (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
search:topic:claude-code-plugin fork:true
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

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范围与限制

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「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 31 个固定源文件

  • 31 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 31

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 1–20 条,共 31 条结果

  • ai-output-validation技能

    Validates, parses, and sanitizes AI-generated outputs before they reach end users or downstream systems. Structured output enforcement, schema validation, and fallback handling.

  • api-design技能

    Design stable, versioned, self-documenting APIs. Easy to use correctly, hard to use incorrectly. Apply Hyrum's Law from day one.

  • ci-cd-pipelines技能

    Automated quality gates from commit to production. Every merge to main is potentially shippable. No manual steps in the deployment path.

  • code-explanation技能

    Get layered, context-aware explanations of unfamiliar code. Understand what it does, why it was written that way, and how to work with it safely.

  • code-review技能

    Structured code review focusing on correctness, security, and maintainability. Correctness before style. Every reviewer comment must be actionable.

  • context-loading技能

    Load minimum necessary context into agent context windows. Prevents token bloat, reduces cost, and improves focus. Only load what the current task needs.

  • debugging-methodology技能

    Systematic root cause analysis for production and development bugs. Hypothesis-driven debugging — never guess-and-check.

  • documentation技能

    Document decisions, not just implementations. ADRs for architectural choices, inline docs for non-obvious code, and runbooks for operational knowledge.

  • error-handling技能

    Graceful degradation and meaningful error messages. Errors are first-class citizens, not afterthoughts. Every error path is designed, not discovered.

  • frontend-engineering技能

    Accessible, performant, responsive UI patterns. Component design, state management discipline, and Core Web Vitals compliance.

  • git-workflow技能

    Trunk-based development with atomic commits, clean history, and meaningful commit messages. Every commit should be deployable.

  • goal-driven-execution技能

    Transforms imperative instructions into declarative goals with verifiable success criteria. Enables autonomous looping until verified completion.

  • hallucination-prevention技能

    Detects and mitigates LLM hallucinations in production pipelines. Validates AI-generated facts, code, and decisions before they reach end users or downstream systems.

  • idea-to-spec技能

    Converts vague ideas into concrete, testable specifications with acceptance criteria. No implementation begins without a spec.

  • incremental-coding技能

    Build in verifiable increments. Never implement more than can be tested right now. Ship partial working systems over complete broken ones.

  • integration-testing技能

    Test real system boundaries, not mocks of mocks. Integration tests verify that components work together, not that they work in isolation.

  • meeting-notes-to-tasks技能

    Converts unstructured meeting notes into structured, assigned, time-bounded action items. Never leave a meeting without knowing who does what by when.

  • multi-agent-orchestration技能

    Designs and coordinates multi-agent pipelines where specialized agents collaborate to complete complex tasks. Includes communication protocols, failure handling, and state management.

  • observability技能

    Structured logging, distributed tracing, and alerting for AI systems and traditional services. You can't fix what you can't see.

  • performance-optimization技能

    Measure first, optimize second. Data-driven performance improvements with before/after benchmarks and production validation.

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