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Found 915 Skills
Use when reading from or writing to Neo4j with Apache Spark or Databricks using the Neo4j Connector for Apache Spark (org.neo4j:neo4j-connector-apache-spark). Covers SparkSession setup, DataFrame reads via labels/Cypher/relationship scan, DataFrame writes with SaveMode, node.keys for MERGE, relationship write mapping, partition and batch tuning, PySpark and Scala examples, Databricks cluster config, Databricks secrets for credentials, Delta Lake to Neo4j pipelines. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT handle the Python bolt driver — use neo4j-driver-python-skill. Does NOT handle GDS algorithms — use neo4j-gds-skill.
Configure and operate the Neo4j Connector for Kafka (sink + source) and the native Neo4j CDC API. Covers Cypher/Pattern/CUD sink strategies, CDC-based and query-based source, exactly-once semantics, DLQ error handling, Confluent Cloud managed connector, schema registry (Avro/JSON), and native db.cdc.query cursor-loop patterns (Neo4j 5.13+ Enterprise/Aura BC/VDC). Use when streaming Kafka events into Neo4j, streaming Neo4j changes to Kafka, or querying Neo4j change events without Kafka. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle bulk CSV/file import — use neo4j-import-skill. Does NOT handle GDS algorithms — use neo4j-gds-skill.
Map, analyze, and redesign the systems behind product experiences. Part of the Intent design strategy system. Creates service blueprints, ecosystem maps, process architecture, and dependency diagrams. Understands how services, teams, tools, and data flows connect to produce (or fail to produce) user outcomes. Proposes structural changes to how products and services are organized. Trigger on: service blueprints, system maps, process architecture, actor/role mapping, dependency analysis, cross-functional workflows, operational design, "how does this system work?", "what breaks when X happens?", "map out the service", "where are the dependencies?", or any question about the structural machinery behind a product experience. Use this skill broadly — whenever someone needs to understand or redesign how a system works, not just what a user sees.
Frames product design problems before solutions exist. Synthesizes research, sizes opportunities, defines hypotheses, scopes projects, and maps customer journeys. Use this skill for new project kickoffs, ambiguous business asks, translating research into briefs, strategic framing sessions, opportunity assessments, project scoping, stakeholder alignment, and competitive analysis—even if the user doesn't explicitly say "strategize."
Browse and compare wiki knowledge by which AI tool originally produced it. Use this skill when the user says "/memory-bridge", "browse codex memory", "what did codex know about X", "show me claude knowledge", "cross-tool memory", "what does hermes know that claude doesn't", "show me knowledge from <tool>", "compare my AI tool memories", or wants to explore knowledge gaps between tools. Works from any project. Diff mode ("what's different", "unique to codex", "gaps between tools") is the killer feature — it surfaces blind spots between tools that the user may not know exist.
MUST be used whenever fixing security issues in a Flows app, or before shipping any feature that handles credentials, user input, or external data. This skill finds AND fixes security problems — it does not just report them. Do NOT skip this when the user asks for a security fix, security hardening, or vulnerability remediation — run every step in order. Triggers: security, security fix, security hardening, vulnerability, XSS, injection, credentials, secrets, auth, authentication, authorization, token, sensitive data, input validation, CORS, CSP, dependency audit.
Main Agents: Do NOT use this skill directly. If you need to test the TUI, invoke the `tui_tester` subagent. Drive terminal UI (TUI) applications programmatically for testing, automation, and inspection. Use when: automating CLI/TUI interactions, regression testing terminal apps, or verifying interactive behavior. Also use when: user asks "what is agent-tui", "what does agent-tui do", "demo agent-tui", "show me agent-tui", "how does agent-tui work", or wants to see it in action.
Audit a Duvo Assignment — or a multi-Assignment workflow connected by a Case Queue — across many Jobs to find systemic inefficiencies and quality issues, then recommend concrete SOP and architecture changes. Use when the user asks to "analyze this workflow", "audit my Assignment", "why is this Assignment slow / inconsistent / low quality across runs", "why does my queue keep backing up", or wants a health check over an Assignment's recent Jobs — as opposed to debugging one failed Job (that's job-debugger). Reads recent Jobs, eval scores, the producer/consumer queue topology, and the SOPs those Jobs actually ran against via the Duvo public API; hands off to sop-writer for any SOP rewrite.
When an interface does not have an exclusive command, use the openydt api universal call / explore available cmds. Covers domains not made into first-class commands (city operation coupons/third-party parking lot access/upward receipts/community access control/advertising/point redemption/invoices/ydtUser, etc.), calls any callable interface using cmd + raw JSON body, checks cmds and parameters from catalog.json, and distinguishes between callable interfaces that can be invoked and webhooks (platform push) that cannot be actively invoked. Triggered when the user wants to call an interface that cannot be found in the domain skill's exclusive subcommands, or asks 'how to call this cmd / is there this interface / will the platform callback me'.
Primarily the agent's internal-thinking skill — invoke it silently to model a problem, identify trade-offs, and decide what to do, BEFORE asking the user anything or dispatching another skill. Workflow skills call `/culture` as their step-1 reasoning pass; the agent does not surface the dialogue. Only treat this as a user-facing skill when the user has explicitly opted out of writes — phrases like "no writes", "just rubber-duck this", "let's only talk", "/culture". In the user-facing path the output is conversation; the only sanctioned artifact is an opt-in `.cheese/notes/<slug>.md` handoff slug at session end if the user asks for notes. Culture never writes to production code, never commits, never opens PRs. If the dialogue reveals real work, recommend `/mold` (fuzzy → spec) or `/cook` (clear ask → code) and stop. Before `/mold` or `/cook`.
SOP for Vehicle Entry/Exit Operation Process of AIKE Smart Parking Open Platform (End-to-end Orchestration for Entry/Exit). This skill is applicable when users want to complete the full entry/exit of a vehicle, simulate the real physical entry/exit process, run through the entire link of 'Supplement/Capture Entry → Correction' or 'Exit Capture → Correction → Fee Inquiry → Payment', or ask questions like 'How does a vehicle enter/exits the parking lot?', 'Entry/exit process', 'Entry/exit SOP', 'How to move a vehicle into/out of the parking lot', 'Simulate vehicle entry/exit', or encounter stuck/debugging issues during entry/exit (e.g., vehicle fails to enter after capture or correction, capture returns error code 908, unsure how to proceed to the next step). This skill is a cross-domain orchestration layer that connects multiple commands from parking (supplement/correction/inventory), device (capture), and trade (fee inquiry/payment), and clarifies cross-command hard constraints (paired exit, capture device, channel release mode, token validity) and failure handling. Boundary: For querying a single record, checking on-site vehicles, locking vehicles, or calling a single command, please directly use the corresponding domain skills openydt-record / openydt-device / openydt-billing instead of this process skill.
Use when customizing the look of Auth0 Universal Login to match a brand — changing colors, logo, fonts, page layout, or login text. Also use when resetting branding to defaults or checking if branding is wired up end-to-end. Does not cover full custom UI screens — use acul-screen-generator for that.