Review code changes in Memgraph's storage layer, including MVCC, concurrency patterns, WAL, recovery, DDL operations, index/constraint management, delta chains, and skip list operations. Invoke for pull requests or changes to src/storage/v2/.
OPT-IN file-based planning for multi-session tasks. Only use when user explicitly requests it or work spans multiple sessions. For single-session work, prefer your platform's native planning features.
Methodical bug-driven test amplification for pygraphistry features. Use when hardening a feature area via user-workflow exploration, 5-Whys retrospectives, bug-taxonomy derivation, concrete test planning, implementation, and safety-gated validation.
Development guidance for the Apache TinkerPop monorepo. Use when building, testing, or contributing to TinkerPop's graph computing framework and its multi-language Gremlin ecosystem (Java, Python, JavaScript, .NET, Go). Covers coding conventions, build recipes, test evaluation, documentation, development environment…
Writing, editing and reviewing documentation for the Apache TinkerPop project. Use when authoring or revising any content under docs/src/ — reference docs, recipes, tutorials, upgrade/release notes, provider and developer guides — or the CHANGELOG. Covers the TinkerPop documentation voice and the per-book style…
Graph-based PR review for Apache TinkerPop. Builds a knowledge graph from PR source code, enriches it with semantic relationships guided by domain playbooks, runs structural analysis, and produces an HTML evidence package. Use when asked to review a TinkerPop PR by number.
Use when creating, moving, splitting, or organizing TypeScript files and folders. Applies fractal tree file-structuring rules which reduce the cognitive overhead of choosing where to put files and ultimately navigating a codebase (once the structure is established and understood).
Guide for creating effective Agent Skills. Use when users want to create a new skill (or update an existing skill) that extends an AI agent's capabilities with specialized knowledge, workflows, or tool integrations. Covers skill structure, YAML frontmatter, trigger configuration, and the 500-line rule.
HashQL testing strategies including compiletest (UI tests), unit tests, and snapshot tests. Use when writing tests for HashQL code, using // annotations, running --bless, debugging test failures, or choosing the right testing approach.
Use when adding, reviewing, or debugging parallelism in ArcadeDB engine or server code - covers the dedicated thread pool inventory and sizing, saturation policy, lock-free read patterns, locking rules, Micrometer pool metrics, and the checklist a new pool must satisfy. Also use when deciding where to submit forked…
Add, connect, and configure nodes in Blueprint event graphs and function graphs — function-call/event/branch/timer/custom-event/delegate nodes, Standard Macro nodes (ForEachLoop/ForLoop/WhileLoop/DoOnce/Gate/IsValid/FlipFlop via addmacroinstancenode), macro-graph creation, pin wiring, node layout, arrays, comment…
Build accessible UI components with React Aria Components. Use when developers mention React Aria, react-aria-components, accessible components, or need unstyled accessible primitives. Provides documentation for building custom accessible UI with hooks and components.
This skill should be used when understanding code structure, finding dependencies between functions/classes, tracing call graphs, or exploring code relationships. Trigger phrases include 'code graph', 'call graph', 'who calls', 'what calls', 'find dependencies', 'code structure', 'inheritance', 'find paths'.
Use when the user adds, changes, or refactors an LLM agent under src/agents/ — or anything that goes through Foundation Model API or an MLflow-traced LLM call. Mandatory under CNS §3.5 and .cursor/12-ai-feature-lifecycle.mdc. Walks the SPEC → dataset → eval-harness → impl → re-eval sequence.
Use when the user asks for a code review, asks to "review the code", or requests review of a feature/PR/branch. Runs the OntoBricks review checklist defined in .cursorrules.
Use when the user asks to deploy, ship, release, or push OntoBricks to Databricks. Wraps the Databricks Asset Bundle deploy for the FastAPI app and the MCP server, with the bootstrap-perms safety net described in README.md.
Use MSAGL-JS (Microsoft Automatic Graph Layout) to lay out and visualize networks in JavaScript or TypeScript. Use for graph and network layout, DOT/JSON/JGF parsing, live embedded SVG or WebGL graphs, Sugiyama/MDS/IPSepCola layouts, edge routing, and exporting SVG, PDF, PNG, EPS, or PostScript figures for LaTeX and…
Bulk-import a large RDF graph (code graph, corpus, GitHub history, etc.) into a DKG node's working memory. Use this skill when you need to push more than a few thousand triples in a single import — it codifies the chunking budgets, the assertion-loop shape, the resumability manifest, and the canonical URI rules so…
The DKG V10 Node is your primary memory system. This skill teaches you to operate your node's three-layer verifiable memory — write and retrieve private drafts in Working Memory, share with peers in Shared Working Memory, and publish permanently to Verifiable Memory on-chain.
Up-to-date Microsoft Graph API knowledge for AI agents. Search 27,700+ Graph APIs, endpoint docs, resource schemas, and community samples — all locally, no network calls. Use when the agent needs to find, understand, or call Microsoft Graph endpoints.
Use when you need to find related files, understand code dependencies, or analyze impact scope. Triggers when the user asks about: "Which files use this function/class?" "What files will be affected if I change this?" "Find code related to X" "What does this file depend on?" "Where is this symbol defined/referenced?"…
Drive one Planr feature or scope autonomously to audit-backed completion through direct maker work and trusted verification, with independent review only for explicit material risk.
Create or refine Planr product plans and build plans before implementation. Use for app ideas, PRDs, architecture slices, scoped implementation contracts, and converting broad work into map-ready items.