amghanekar-deloitte/AEP-MCP_SERVER

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

Adapt this framework to a target platform, engineering stack, or team operating model. Use when the user wants to make the framework generic, stack-aware, platform-aware, or project-aware by updating agents, commands, skills, and rules in a controlled way.

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

Core Adobe Experience Platform concepts, API patterns, authentication, schema registry, dataset catalog, data ingestion, and sandbox management. Load this skill when working on any AEP integration task, API call, or pipeline stage that interacts with AEP services.

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

Answer questions about Adobe Experience Platform by fetching live Adobe Experience League documentation. Never answers from memory — always fetches source content, quotes directly, and cites the URL. Covers XDM, Data Ingestion, Sources, Real-Time Customer Profile, Identity Service, Segmentation, Destinations, Data…

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

AJO campaign lifecycle patterns — campaign types (scheduled and API-triggered), creation API payload formats, surface configuration, audience targeting, publish flow, trigger patterns, Content Decisioning campaigns, campaign duplication, and known API limitations. Load when creating or managing AJO campaigns.

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

Adobe Journey Optimizer email journey design patterns — journey types, entry conditions, email action node configuration, wait logic (time-based and event-based), condition/decision nodes, personalization token syntax, channel surface configuration, and AJO UI navigation guide. Load when designing email journeys.

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

Answer questions about Adobe Journey Optimizer by fetching live Adobe Experience League documentation. Never answers from memory — always fetches source content, quotes directly, and cites the URL.

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

AEP Computed Attributes — profile-level scalar aggregations derived from ExperienceEvent data (e.g. total purchase amount last 30 days, number of ER visits in last year). Covers creation, the draft-to-published lifecycle, update and deprecation via JSON Patch, status monitoring, and when to use computed attributes vs…

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

Data profiling, quality scoring (0-100), and Mermaid ERD generation for CSV files. Use when analyzing local CSV data (Stage 0 of AEP pipeline), generating data quality reports, or creating entity-relationship diagrams from CSV file structures. Handles: CSV field profiling, 6-dimension quality scoring (completeness…

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

AEP data ingestion patterns for Stage 6 — CSV-to-XDM transform, UUID generation for id, ISO 8601 timestamp conversion, timestamp currency gate (90-day TTL), identityMap format with authenticatedState, batch upload flow, standard XDM eventType values, pre-ingestion namespace gate, canonical output/ file gate, and…

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

AEP Data Prep — mapping sets, individual field mappings, expression validation, built-in function catalog, and mapping preview. Use when creating or inspecting XDM field mappings for source-to-XDM transformation in the ingestion pipeline (Stage 6), validating Data Prep expressions, or checking available built-in…

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

Data quality profiling methodology, scoring rubric (0-100), report generation patterns, threshold definitions, and AEP-specific data quality checks. Load this skill when performing data quality analysis (Stage 5) or when evaluating CSV/JSON data completeness and fitness for AEP ingestion.

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

AEP post-ingestion data validation patterns for Stage 7 — Data Access API queries, source-vs-AEP record count comparison, identity resolution verification, event stitching checks, field-level comparison on samples, and validation report format. Load when validating ingested data against source files.

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

AEP dataset creation patterns for Stage 3 — parquet format enforcement, duplicate-dataset prevention gate, safe tag PATCH protocol (GET-merge-PATCH), and deployment manifest updates. Load when creating or managing AEP datasets via the Catalog API.

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

Universal framework guidance for designing, maintaining, and evolving agentic coding systems across Claude Code, Cursor, VS Code, and GitHub Copilot. Use when creating, updating, or maintaining agents, commands, skills, rules, or hooks. Also use when resolving cross-surface conflicts, validating framework changes…

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

AEP identity namespace management and descriptor API patterns for Stage 4 — namespace creation, pre-ingestion namespace gate, descriptor API format (string not object), and identity field selection guidance. Load when configuring identity namespaces or applying identity descriptors.

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

Scans any project to detect its architecture, tech stack, conventions, and code standards, then populates CLAUDE.md with project context. Supports two modes - architect's standards document (PDF/markdown) or automatic codebase scan. Use at the start of a project or when onboarding onto an unfamiliar codebase. Works…

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

APEX AEP artifact naming convention rules for Schemas (Mixins, Classes, Global Attributes), Identity Namespaces, Datasets, Segments, Journeys, Sources/Data Ingestion Workflows, and Destinations. Load this skill before naming or validating any AEP artifact. Source: Adobe CDP Artifacts Naming Conventions v1.0.

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

AJO Offer Decisioning (classic Decision Management / DPS) — offer library, eligibility rules, collections, activities, placements, PQL for offers, offer decisioning API flow (draft to publish to propagation), getmemberoffers, viewoffers HTML artifact, and known gotchas (customAttributes JSON-string, propagation delay…

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

Universal implementation planning patterns - SDLC category workflows, task classification, complexity estimation, reusability analysis, requirements intelligence, and implementation contract templates. MANDATORY for the planner agent before creating any plan. Also invoke when any agent needs to classify task…

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

AEP Real-Time Customer Profile enablement patterns for Stage 5 — three-flag protocol, PATCH-not-PUT for schema union tag, safe tag merge, granular flag requirement, and never-auto-enable rule. Load when enabling Profile on schemas or datasets.

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

AEP pipeline QA methodology — error catalogs, API diagnostic patterns, profile processing internals, and remediation recipes. Load this skill when running Stage 8 QA checks or debugging any post-ingestion profile/identity issue.

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

AEP/AJO QA test case generation and execution patterns — consolidated testcases.csv format (13 columns including ArtifactType, StoryID, Sandbox, RunTimestamp), TCID prefixes (NS-/SCH-/DST-/IDN-/PRF-/SEG-/CAM-/ING-/JRN-), namespace/schema/dataset/identity/profile/segment/campaign/ingestion/journey test types, AEP…

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

AEP Query Service patterns — ad-hoc async queries, synchronous row retrieval via QS PostgreSQL, query templates, scheduled queries, and the viewqueryresults HTML artifact tool. Load when querying AEP datasets with SQL, reading row data out of AEP, or rendering query results as an artifact. Key tools: mcpaeprunquery…

amghanekar-deloitte/AEP-MCP_SERVER

Skill Claude Code

Answer questions about Adobe Real-Time Customer Data Platform (Real-Time CDP) by fetching live Adobe Experience League documentation. Never answers from memory — always fetches source content, quotes directly, and cites the URL. Covers B2C and B2B editions, account profiles, predictive scoring, segmentation…