claudemods

来源oracle-samples/oracle-aidp-samples

oracle-samples/oracle-aidp-samples 已索引

Oracle AI Data Platform Workbench Samples

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仓库

规范名称
oracle-samples/oracle-aidp-samples
GitHub 仓库 ID
1069089205
包记录
146 (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
marketplace:anthropics/claude-plugins-official
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 352 个固定源文件

  • 352 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 146

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 81–100 条,共 146 条结果

  • aidp-peoplesoft技能

    Read from Oracle PeopleSoft into a Spark DataFrame in an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions PeopleSoft, PSFT, HCM, FSCM, Campus Solutions, or has a PeopleSoft host/port. Auth is hos…

  • aidp-pipelines技能

    Author, schedule, run, and monitor AIDP Jobs (task DAGs of notebooks/python with cron). Use when the user wants to build a pipeline, create/update/run a Job, schedule a recurring run, check a run's status, read a task's output, or cancel a…

  • aidp-postgresql技能

    Read or write PostgreSQL from an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions PostgreSQL, Postgres, "psql", or has a Postgres host/port to connect to. Prefer the official `POSTGRESQL` connect…

  • aidp-postgresql技能

    Read or write PostgreSQL from an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions PostgreSQL, Postgres, "psql", or has a Postgres host/port to connect to. Prefer the official `POSTGRESQL` connect…

  • aidp-profiling-tables技能

    Profile an AIDP table — row count, per-column null %, distinct count, min/max/mean, and top-K values. Use when the user asks to profile a table, wants column statistics or a data-quality snapshot, or needs to understand a dataset's shape b…

  • aidp-rest技能

    Use AIDP control-plane REST primitives for OCI signing, discovery, notebook upload, job dispatch, polling, output retrieval, and marker parsing. Use when another workflow must operate a live AIDP cluster through REST.

  • aidp-rest-generic技能

    Pull data from any REST API into a Spark DataFrame using the AIDP `aidataplatform` Generic REST connector. Use when the user has a non-Fusion / non-EPM / non-Essbase REST endpoint with a `manifest.url` describing the schema. Auth is HTTP B…

  • aidp-rest-generic技能

    Pull data from any REST API into a Spark DataFrame using the AIDP `aidataplatform` Generic REST connector. Use when the user has a non-Fusion / non-EPM / non-Essbase REST endpoint with a `manifest.url` describing the schema. Auth is HTTP B…

  • aidp-resume-migration技能

    Resume an interrupted migration. The migrator caches already-migrated notebooks (in-memory + on-cluster) so subsequent runs skip them. Use when a prior aidp-migrate-job run was killed mid-flight (Ctrl-C, cluster restart, network drop) or w…

  • aidp-roles-access技能

    Manage AIDP roles and access — list roles, view permissions, create roles, add/remove members, and grant/revoke per-resource permissions on catalogs, schemas, tables, views, volumes, workspaces, workspace objects, and clusters. Also covers…

  • aidp-salesforce技能

    Read from Salesforce into a Spark DataFrame in an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions Salesforce, SFDC, Sales Cloud, Service Cloud, Account, Opportunity, Lead, sObject, SOQL. Auth is…

  • aidp-salesforce技能

    Read from Salesforce into a Spark DataFrame in an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions Salesforce, SFDC, Sales Cloud, Service Cloud, Account, Opportunity, Lead, sObject, SOQL. Auth is…

  • aidp-semantic-model技能

    Maintain a semantic grounding layer (.aidp/semantic.md) for AIDP — logical entity names, SQL-defined metrics, joins with cardinality, synonyms, and value dictionaries. Use when the user wants to define metrics/business terms, improve NL-to…

  • aidp-siebel技能

    Read from Oracle Siebel CRM into a Spark DataFrame in an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions Siebel, Siebel CRM, S_CONTACT, S_ORG_EXT, or has a Siebel host/port. Auth is host/port + …

  • aidp-siebel技能

    Read from Oracle Siebel CRM into a Spark DataFrame in an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions Siebel, Siebel CRM, S_CONTACT, S_ORG_EXT, or has a Siebel host/port. Auth is host/port + …

  • aidp-snowflake技能

    Read Snowflake from an AIDP notebook through the AIDP `aidataplatform` Spark format handler. Use when the user mentions Snowflake, Snowflake warehouse, Basic authentication, KeyPair authentication, private.key.file, or private.key.content.…

  • aidp-snowflake技能

    Read Snowflake from an AIDP notebook through the AIDP `aidataplatform` Spark format handler. Use when the user mentions Snowflake, Snowflake warehouse, Basic authentication, KeyPair authentication, private.key.file, or private.key.content.…

  • aidp-spark-debugging技能

    Diagnose slow or failed AIDP Spark work using cluster logs, metrics, and the Spark UI REST API. Use when a job/query is slow or failed, the user asks "why did this fail / why is it slow", or you need stage/task timings, skew, shuffle/spill…

  • aidp-spark-optimization技能

    Use when a Spark job/notebook is slow, missing an SLA, spilling, OOMing, generating too many small files, or shuffling/skewing heavily; when reviewing Spark/PySpark code or a Spark UI for performance; or before running a large Spark worklo…

  • aidp-sql-ddl技能

    Write-side Spark SQL on the AIDP lakehouse — DDL (CREATE/ALTER/DROP table·view·schema), DML (INSERT/UPDATE/DELETE/MERGE upsert), and Delta maintenance (OPTIMIZE, VACUUM, time travel, RESTORE, schema evolution, liquid clustering). Use when …

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