全部 Agent Skills
41,263 个结果
- Aidp Semantic ModelOracle Sample ProjectsMaintain 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-SQL accuracy, standardize "revenue/customers/etc.", or set up a semantic model. Read by analyzing-data, verified-queries, profiling, and data-quality.
- Aidp SiebelOracle Sample ProjectsRead 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 + database name + user/password. Read-only.
- Aidp SnowflakeOracle Sample ProjectsRead 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. Snowflake writes are not supported in AIDP 4.0.
- Aidp Spark DebuggingOracle Sample ProjectsDiagnose 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, executor, or SQL-execution details.
- Aidp Spark OptimizationOracle Sample ProjectsUse 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 workload.
- Aidp SQL DdlOracle Sample ProjectsWrite-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).
- Aidp SqlserverOracle Sample ProjectsRead or write Microsoft SQL Server from an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions SQL Server, MSSQL, or has a TDS host/port. Auth is host/port + database + user/password.
- Aidp Streaming KafkaOracle Sample ProjectsConsume an OCI Streaming stream from an AIDP notebook via Spark structured streaming (Kafka-compat). Use when the user mentions OCI Streaming, Kafka on OCI, stream pool, structured streaming, or wants to read Kafka messages into Spark. Auth is SASL/PLAIN with an OCI auth token. Pattern matches the official Oracle AIDP sample.
- Aidp Table ManagementOracle Sample ProjectsControl-plane lifecycle for AIDP catalog objects — create/update/delete/refresh tables, views, schemas, and catalogs, and register an EXTERNAL catalog/connection (ALH/ADW/object-storage) as a persistent catalog object.
- Aidp ToolsOracle Sample ProjectsCreate and manage standalone reusable AIDP agent Tools — SQL, Prompt, RAG, HTTP, Custom, and MCP tools that can be shared across agent flows by key. Use when the user wants to define a reusable tool (not inline in one flow), list/create/update/delete a tool, test a tool, or build a tool an agent/agent-flow node will reference.
- Aidp User SettingsOracle Sample ProjectsManage AIDP user settings / preferences — list, get, create, update, delete a user's settings for the DataLake. Use when the user wants to view or change their AIDP workbench preferences/settings, or manage stored user-setting entries. Self-contained — official `aidp user-setting` CLI preferred, `oci raw-request` fallback.
- Aidp Verified QueriesOracle Sample ProjectsRegister and validate reusable question→Spark-SQL pairs in .aidp/verified-queries.md so the agent reuses trusted SQL before generating new SQL. Use when the user wants to save a working query as canonical, build a verified-query repository, or improve answer reliability for recurring questions. Validates each pair on the cluster before marking it verified.
- Aidp VolumesOracle Sample ProjectsWork with AIDP volumes — list volumes, browse files inside a volume, upload/download via the PAR flow, and create directories. Use when the user mentions volumes, needs to stage large/binary files, or move data in/out of a volume (distinct from the workspace filesystem). Control-plane via the official `aidp` CLI.
- Aidp Workspace AdminOracle Sample ProjectsProvision and inspect AIDP DataLake instances and workspaces, including private-network workspaces attached to a customer VCN/subnet. Use when the user wants to create/list/get a workspace or DataLake instance, set up a new (e.g. private) AIDP environment, or replicate a customer setup. Create/delete are guarded — confirm before any provisioning.
- Aidp Workspace FilesOracle Sample ProjectsManage files and notebooks in the AIDP workspace filesystem — list, upload, download, read, create, move, rename, delete files/folders/notebooks. Use when the user wants to put a script/notebook/config into the workspace, read or move workspace files, or organize Shared/ folders.
- Aidpf Error TriageOracle Sample ProjectsRead-only triage router for Oracle AIDP Fusion Autopilot failures. Use when the user pastes CLI output, a traceback, an `.aidp/diagnostics` path, a run id, or says bootstrap, validate, seed, incremental, dashboard, OAC, or workbook failed.
- Aidpf Error TriageOracle Sample ProjectsRead and explain AIDPF error codes, tracebacks, diagnostics, run IDs, datasets, layers, and variation failures, then route to the owning recovery Skill or command. Use whenever a bundle workflow fails or the user pastes failure evidence.
- AnalyticsOracle Sample ProjectsUse this Oracle Analytics domain skill when creating or editing Oracle Analytics Cloud workbooks, visualizations, calculations, filters, layouts, governed analyses, or when routing an analytics request to a more specific nested skill.
- Ask AidpOracle Sample ProjectsUse when the user asks Claude Code to connect to Oracle AI Data Platform Workbench, run aidp-cli commands, manage AIDP agents/notebooks/workflows/clusters/catalogs/schemas/volumes/MLOps/bundles/audit/roles/credentials, execute notebook workflows, export task outputs, collect AIDP logs, call documented AIDP REST operations, or operate workspace repositories through AIDP SDK tools.
- Ask AidpOracle Sample ProjectsUse when the user asks Codex to connect to Oracle AI Data Platform Workbench, run aidp-cli commands, manage AIDP agents/notebooks/workflows/clusters/catalogs/schemas/volumes/MLOps/bundles/audit/roles/credentials, execute a notebook workflow, export task outputs, or collect AIDP logs.
- AWS Aidp MigratorOracle Sample ProjectsMigrate an AWS data stack (S3, Glue, Athena, EMR, SageMaker) to Oracle AI Data Platform (AIDP). Use when the user wants to inventory an AWS data estate, plan a migration to AIDP, translate Athena SQL or Glue ETL/PySpark to Spark on AIDP, or verify a migration's output. Wraps the `aws-aidp` CLI, with the verbs inventory, plan, migrate and verify.
- Check Data FlowOracle Sample ProjectsPre-migration data-availability scan. Reads a migration manifest, probes every spark.read.* / saveAsTable target on the AIDP cluster, reports OK / MISSING / EMPTY with remediation tips per category. Use before any aidp-migrate-job run, or whenever the user asks "is the data ready?", "pre-migration check", "what's missing on AIDP".
- Databricks Notebook AnalyzerOracle Sample ProjectsRead a single Databricks notebook (.ipynb / .py / .scala source format) and produce a migration-readiness report — what it does, what it depends on, what risks the migrator will hit, which gotchas (from references/gotchas.md) will apply. Run before manually authoring an entry in a migration manifest, OR as a one-off "should we migrate this?" assessment.
- dev:dry-runRaphael ValdetaroUse when the user wants to smoke-test the evolve pipeline, test tools, or verify the plugin works end-to-end. Also use when the user says 'dry run', 'smoke test', or 'test pipeline'.