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Claude Mind - Give Claude photographic memory in ONE portable file. Share, version, and transfer your Claude's brain.

Marketing agents and public-data skills for Claude, Codex, and any MCP client. Read-only research over UnifAPI's SEO, social, local, and AI-visibility APIs.

Architecture baselines, current-state documentation, target designs, decisions, diagrams, and migration plans.

Read-only audits for documentation, code, tests, architecture, and persistence.

Optional maintainer toolkit for skill review, repository publication, releases, and project announcements.

Surgical implementation plus measured performance, dependency, modernization, and benchmark workflows.

Evidence-based product opportunity evaluation before implementation.

Independent plan and delivery reviews with evidence-based verdicts.

Risk-based test portfolio planning and reproducible acceptance-test lifecycle.

AI-native job queue for Bun — skills, MCP server (73 tools), custom agent, SQLite persistence, cron, priorities, retries, DLQ, webhooks

Shopify developer tools for OpenAI Codex — search Shopify docs, generate and validate GraphQL, Liquid, and UI extension code. Skill scripts send usage telemetry (queries, code, model/client identifiers) to shopify.dev by default; set OPT_OUT_INSTRUMENTATION=true to disable.

Answer product and business questions with data

The Product Design plugin is built for turning early ideas into prototypes teams can review. It starts design and build work by confirming the brief, then helps teams explore product directions, audit user flows, prototype from a live URL, and make static screenshots interactive.

Practical sales workflows for sellers. Prepare for meetings, follow up after calls, prioritize accounts, analyze signals, plan deals, build business cases, review forecasts, find customer evidence, coach reps, enrich data, and work from CRM context.

memX: local-first semantic memory for coding agents. Native Codex lifecycle hooks.

Semantic search for Claude Code and Codex conversations. Remember past discussions, decisions, and patterns.

Canary browser automation + recorded QA sessions: a sandbox scripting reference, verify/automate/session/review skills, JTBD subagents, and /canary slash commands.

Job search copilot for any industry. Evaluate job postings, generate ATS-optimized resumes, scan career portals, track applications, draft outreach, and research companies. Works for engineers, marketers, nurses, lawyers, and everyone in between.

The operations layer for agentic engineering: portable skills and evidence contracts connecting intent, coding agents, software factories, and independent judgment.

CLAUDE.md lifecycle toolkit: initialise, enhance, sync, and modularise CLAUDE.md files with a 150-line cap, automatic chaining, and Karpathy behavioural guardrails.

Comprehensive ABAP development skill for SAP systems. Use when writing ABAP code, working with internal tables, structures, ABAP SQL, object-oriented programming, RAP (RESTful Application Programming Model), CDS views, EML statements, ABAP Cloud development, string processing, dynamic programming, RTTI/RTTC, field symbols, data references, exception handling, or ABAP unit testing. Covers both classic ABAP and modern ABAP for Cloud Development patterns.

Comprehensive SAP ABAP CDS (Core Data Services) reference for data modeling, view development, and semantic enrichment. Use when creating CDS views or view entities, defining data models with annotations, working with associations and cardinality, implementing input parameters, using built-in functions, writing CASE expressions, implementing access control with DCL, handling CURR/QUAN data types, troubleshooting CDS errors, querying CDS views from ABAP, or displaying data with SALV IDA. Covers ABAP 7.4+ through ABAP Cloud.

Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models, building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, managing prompt templates via the Prompt Registry, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM, Perplexity), orchestration modules, embeddings, tool calling, and structured outputs.

Evidence-based assessment of whether an SAP API/interface usage scenario aligns with the SAP API Policy (v.4.2026a). Use whenever someone asks whether a way of calling SAP is allowed/compliant — e.g. Published API vs internal/private/"confidential" API status, "Documented Use", whether a third-party tool / iPaaS / middleware / RPA bot / AI agent / MCP server may call SAP APIs, agentic or generative-AI access to SAP, bulk data extraction or replication into a lake/warehouse, custom Z/Y OData or RFC/BAPI wrappers and Clean Core, ADT/developer-tooling boundaries, ODP-RFC and other "not permitted" interfaces, partner Integration Certification, or RISE integration remediation. Trigger even when the policy is not named, e.g. "are we allowed to…", "is it compliant to…", "can we connect X to SAP…", "will this break under the new API policy". Produces a sourced technical assessment with a confidence level — explicitly NOT legal advice and NOT a final SAP compliance decision.