Data & Analytics
2,125 results
- Aicoin HyperliquidaicoincomHyperliquid on-chain perpetuals analytics from AiCoin Open API v3 — the primary source for on-chain whale / smart-money / large-fund movement. Use this skill when the user asks about: Hyperliquid whale positions, HL liquidations, HL open interest, HL trader analytics, HL taker flow, HL funding history, AND generic on-chain whale activity — '链上大资金动向', '链上鲸鱼', '聪明钱', '大户在干嘛', 'on-chain whale'…
- Aicoin MarketaicoincomCrypto market data from AiCoin Open API v3 — 200+ exchanges, real-time. Use whenever the user asks about crypto prices, K-lines, funding rates, open interest, long/short ratios, whale/big orders, liquidation maps, order-book depth, news/newsflash, Twitter/X posts, trending coins, airdrops & airdrop research, project analysis, exchange listings, crypto stocks, treasury & Grayscale holdings…
- Bailian Model Recommendmodelstudioai阿里云百炼模型选型与推荐。当用户需要"选择、推荐、对比"模型，或描述一个 AI 场景/功能需求（隐含需要帮其决策用哪个模型）时激活。核心意图是帮用户做决策， 不是单纯查资料。触发词：推荐模型、选哪个、哪个适合、对比、做一个XX、实现XX 功能、用什么模型好、XX场景方案。当用户同时涉及模型查询和模型选择时，优先 使用本 skill（本 skill 内部会读取模型数据完成推荐）。
- Data Systems ArchitectureratacatUse when designing databases for data-heavy applications, making schema decisions for performance, choosing between normalization and denormalization, selecting storage/indexing strategies, planning for scale, or evaluating OLTP vs OLAP trade-offs. Also use when encountering N+1 queries, ORM issues, or concurrency problems.
- Aidp Ai SQLOracle Sample ProjectsRun LLM functions inside Spark SQL on AIDP via ai_generate(). Use when the user wants to summarize/classify/extract/enrich rows with an LLM directly in SQL, generate narratives over aggregated results, or do grounded RAG-style analysis in the lakehouse. Signature is model-first; available models must be confirmed live before relying on it.
- Aidp Analyzing DataOracle Sample ProjectsAnswer business questions over the AIDP lakehouse with Spark SQL. Use when the user asks a data question ("how many…", "top N…", "show me…", "trend of…", "revenue by…") or wants to run ad-hoc Spark SQL. Grounds in .aidp/catalog.md + .aidp/semantic.md and reuses validated verified queries before generating SQL, then executes via the bundled aidp_sql.py helper.
- Aidp Data QualityOracle Sample ProjectsRun data-quality rule checks on AIDP tables — not-null, uniqueness, allowed ranges/sets, referential integrity, and freshness. Use when the user wants to validate data, check for nulls/duplicates/orphans, assert a column's domain, or gate a pipeline on quality. Expresses each rule as bounded Spark SQL and reports pass/fail with offending counts.
- Aidp Db2Oracle Sample ProjectsRead or write IBM Db2 from an AIDP notebook through the AIDP `aidataplatform` Spark format handler. Use when the user mentions DB2, IBM Db2, LUW, or `type=DB2`. Auth is host/port + database name + user/password.
- Aidp Fusion AutopilotOracle Sample ProjectsEnd-to-end conductor for the Fusion to AIDP to OAC dashboard journey. Takes one high-level goal ('I want a supplier-spend vs GL-balance dashboard from Fusion') and drives the whole chain: configure, connect OAC MCP, bootstrap, seed, advise dataset, author mart if needed, create OAC dataset, author workbook, and optionally enable end-user MCP chat by detecting current state and delegating each…
- Aidp Fusion AutopilotOracle Sample ProjectsConduct the complete Oracle Fusion to AIDP to OAC dashboard journey by composing the plugin's focused Skills and guarded CLI. Use when the user wants an analytics goal driven end to end or wants to resume a partially completed dashboard workflow.
- Aidp Fusion BootstrapOracle Sample ProjectsGuide and run the Oracle AIDP Fusion Autopilot bootstrap phase. Validates bundle/config readiness, checks AIDP/Fusion/IAM prerequisites, runs `aidp-fusion-autopilot bootstrap --check-iam` or `bootstrap --refresh`, surfaces tenant variation choices pinned into the active profile YAML and evidence snapshots, and routes unresolved variation failures (`AIDPF-2010` / `AIDPF-2011`) to…
- Aidp Fusion IncrementalOracle Sample ProjectsTurn a natural-language refresh request into a guarded `aidp-fusion-autopilot run --mode incremental` (the daily delta-merge). Parses intent into scope flags (reusing the seed parser with --mode incremental), auto-satisfies preconditions, and runs the incremental-specific prechecks: a Fusion-PVO/bronze DRIFT precheck (route to /fusion-drift-doctor), a watermark-cursor check (a node with no prior…
- Aidp Fusion PipelineOracle Sample ProjectsProductized Fusion → Oracle AI Data Platform pipeline with curated BICC extracts (GL/AR/AP/PO/Suppliers/Items), bronze/silver/gold medallion in Delta, conformed dimensions (account/calendar/org/supplier/item), gold marts (AR-Aging/AP-Aging/GL-Balance/PO-Backlog/Supplier-Spend), and MCP-native OAC workbook authoring.
- Aidp Fusion PipelineOracle Sample ProjectsGuide Oracle Fusion ERP, HCM, or SCM ingestion into AIDP bronze, silver, and gold layers and onward to OAC analytics. Use when the user asks where to start, wants the full bundle workflow, or needs the correct focused Skill.
- Aidp Fusion SeedOracle Sample ProjectsTurn a natural-language seed request into a correct, guarded `aidp-fusion-autopilot run --mode seed`. Parses intent into scope flags (--datasets / --layers / --strict-scope / --resume), auto-satisfies preconditions (validate + `/aidp-fusion-bootstrap` + cluster), guards the destructive replace-on-silver/gold behaviour with a fail-closed confirmation, then dispatches and offers resume on failure.
- Aidp Fusion SeedOracle Sample ProjectsTurn a natural-language seed request into a scoped and guarded seed run with validation, bootstrap, cluster, overwrite, and resume checks. Use for first loads, selected datasets or layers, mart seeding, or seed recovery.
- Aidp Google BigqueryOracle Sample ProjectsRead Google BigQuery tables and views from AIDP notebooks using the built-in GOOGLE_BIGQUERY connector, service-account authentication, SQL pushdown, catalog.id, or external-catalog names. Use for BigQuery or GBQ requests in AIDP 5.1 and later.
- Aidp Jdbc CustomOracle Sample ProjectsConnect to ANY database that has a JDBC driver from an AIDP notebook using Spark's native `format("jdbc")`. Use when the user mentions a DB without a dedicated AIDP connector — SQLite, ClickHouse, DuckDB, generic JDBC URL — or wants to use a custom JDBC driver they uploaded. Auth is driver-specific.
- Aidp MysqlOracle Sample ProjectsRead or write MySQL or OCI MySQL HeatWave from an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions MySQL, HeatWave, MySQL Database Service, MDS, or has a MySQL host/port. Auth is host/port + user/password.
- Aidp NetsuiteOracle Sample ProjectsRead NetSuite SuiteAnalytics Connect data from an AIDP notebook through the AIDP `aidataplatform` Spark format handler. Use when the user mentions NetSuite, SuiteAnalytics Connect, ns.account.id, ns.role.id, or ns.access.token. Supports username/password or OAuth access-token authentication. Read-only.
- Aidp NotebooksOracle Sample ProjectsCreate, edit, and execute AIDP notebooks and manage their kernel sessions. Use when the user wants to author a notebook, run cells/code on a cluster, attach/detach a kernel session, or build an interactive notebook (e.g. with widgets + Spark SQL + Plotly). Notebook FILE ops run via the Notebook contents REST API; CELL EXECUTION runs via scripts/aidp_sql.py.
- Aidp Oracle DbOracle Sample ProjectsRead or write an Oracle Database (Compute / Base DB / on-prem / Oracle 19c, 21c, 23ai, 26ai non-Autonomous) from an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions Oracle Database, generic Oracle DB, on-prem Oracle, plain Oracle JDBC, port 1521, non-Autonomous Oracle. Read-write. Auth is host/port + database name + user/password.
- Aidp PeoplesoftOracle Sample ProjectsRead 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 host/port + database name + user/password. Read-only.
- Aidp Profiling TablesOracle Sample ProjectsProfile 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 before using it. Runs bounded Spark SQL via the bundled aidp_sql.py helper.