Loading...
Loading...
Found 1,163 Skills
[Manual Only] Record project learnings in FORyusuke.md. Structurally append lessons learned, pitfalls, debugging stories, and improvement points obtained during the session. It only works when explicitly called via /teach (it will not be triggered automatically in normal work).
Headless UI for virtualizing scrollable elements in Vue. ALWAYS use when writing code importing "@tanstack/vue-virtual". Consult for debugging, best practices, or modifying @tanstack/vue-virtual, tanstack/vue-virtual, tanstack vue-virtual, tanstack vue virtual, virtual.
A user-empowering data visualization Vue 3 components library for eloquent data storytelling. ALWAYS use when writing code importing "vue-data-ui". Consult for debugging, best practices, or modifying vue-data-ui, vue data ui.
Vitest testing framework patterns for test setup, async testing, mocking with vi.*, snapshots, and test performance (formerly test-vitest). This skill should be used when writing or debugging Vitest tests. This skill does NOT cover TDD methodology (use test-tdd skill), API mocking with MSW (use test-msw skill), or Jest-specific APIs.
INVOKE THIS SKILL when optimizing, improving, or debugging LLM prompts using production trace data, evaluations, and annotations. Covers extracting prompts from spans, gathering performance signal, and running a data-driven optimization loop using the ax CLI.
MongoDB transaction correctness, consistency, and retry safety. Use when implementing multi-document writes, debugging transaction failures, choosing readConcern/writeConcern, handling TransientTransactionError or UnknownTransactionCommitResult, or deciding when transactions are required. Triggers on "transaction", "withTransaction", "session", "read concern", "write concern", "causal consistency", "snapshot", "retry commit", "ACID", "TransientTransactionError", and "UnknownTransactionCommitResult".
Plan and execute federated analytics workflows with the Rhino Health Python SDK. Use when the user wants to run survival analysis, metrics, data harmonization, model training, or any multi-step SDK workflow. Takes high-level research goals and produces phased execution plans with runnable code. Also handles SDK questions, debugging rhino_health errors, and metric selection. Triggers on: rhino-health, rhino_health, RhinoSession, FCP, federated analytics, OMOP, FHIR, harmonization, or any of the 40+ federated metrics.
Agent development workflow and discipline skills. Use when developing features, debugging issues, managing code branches, writing plans, or ensuring code quality through TDD and systematic processes. Triggers on any software development task that benefits from structured workflows.
Sentry error tracking and debugging specialist
Flux GitOps patterns for the homelab Kubernetes platform using ResourceSets. Use when: (1) Adding new Helm releases or applications to the platform, (2) Deploying a new service to Kubernetes, (3) Debugging Flux reconciliation issues or sync problems, (4) Understanding ResourceSet patterns, (5) Configuring Kustomizations and variable substitution, (6) Questions about helm-charts.yaml or platform structure, (7) GitOps workflow questions. Triggers: "add helm release", "deploy to kubernetes", "add new service", "add application", "flux resourceset", "flux reconciliation", "flux not syncing", "flux stuck", "gitops", "helm-charts.yaml", "platform values", "flux debug", "HelmRelease not ready", "kustomization", "helmrelease", "add chart", "deploy helm chart"
Manage Cilium network policies: profile selection, access labels, Hubble debugging, platform namespace CNPs, and emergency escape hatch procedures. Use when: (1) Deploying a new application and setting network profile, (2) Debugging blocked traffic with Hubble, (3) Adding shared resource access, (4) Creating platform namespace CNPs, (5) Using the escape hatch for emergencies, (6) Verifying network policy enforcement. Triggers: "network policy", "hubble", "dropped traffic", "cilium", "blocked traffic", "network profile", "access label", "escape hatch", "cnp", "ccnp"
Expert guidance for building production-grade AI agents and workflows using Pydantic AI (the `pydantic_ai` Python library). Use this skill whenever the user is: writing, debugging, or reviewing any Pydantic AI code; asking how to build AI agents in Python with Pydantic; asking about Agent, RunContext, tools, dependencies, structured outputs, streaming, multi-agent patterns, MCP integration, or testing with Pydantic AI; or migrating from LangChain/LlamaIndex to Pydantic AI. Trigger even for vague requests like "help me build an AI agent in Python" or "how do I add tools to my LLM app" — Pydantic AI is very likely what they need.