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SkillsMP has collected 18 skills from aleonsa/claude-config. Open a skill to review its source and details.
Showing 18 of 18 collected skills.
Extract sessions, traces, observations, prompts, and scores from Langfuse via its public API. Use when the user wants to pull/export/analyze Langfuse data (not for instrumenting an app to send traces — see langfuse-observability for that).
Query Twilio Conversations, Studio Flows, and Monitor/Debugger via the REST API — find conversations by phone/WhatsApp number, read messages and attributes, inspect Studio Flow executions, list debugger alerts. Use when the user wants to look up/inspect/debug…
Diagnose latency, errors, freezes and scaling issues across Cloud Run + Apigee + Pub/Sub on GCP. Use when the user reports production incidents, latency spikes, partial outages, or asks to "see logs / metrics" in a GCP project.
LaTeX compilation and Beamer presentation patterns for macOS with TeX Live. Covers pdflatex, latexmk, bibtex, error diagnosis, and Beamer slide authoring.
CUDA kernel development and GPU optimization patterns — memory hierarchy, occupancy tuning, coalescing, shared memory tiling, warp-level ops, and profiling with Nsight Compute. Use when writing or optimizing CUDA C++ kernels.
FastAPI architecture patterns, async SQLAlchemy ORM, Pydantic schemas, dependency injection, service layer, background tasks, and production-grade API design.
FastAPI security best practices — JWT authentication with python-jose, OAuth2, role-based access, CORS, rate limiting, security headers, and input validation.
FastAPI testing with TDD — pytest-asyncio, httpx AsyncClient, async SQLAlchemy fixtures, polyfactory, mocking external services, and coverage targets.
Verification loop for FastAPI projects: Alembic migration checks, linting, async tests with coverage, security scans, and deployment readiness before release or PR.
Firebase Authentication patterns — token verification in FastAPI, custom claims for RBAC, multi-tenant auth, ID token validation, service account setup, and frontend Firebase SDK integration.
GCP serverless deployment patterns — Cloud Run, Cloud Tasks, Secret Manager, Artifact Registry, Cloud Storage, IAM, and cost-aware architecture for production Python services.
Intercom integration patterns — webhook event handling, Conversations API, Contacts API, custom inbox channels, operator bot flows, and multi-tenant workspace management.
Kubernetes production patterns — Deployments, Services, Ingress, ConfigMaps, Secrets, RBAC, HPA, health probes, resource limits, and Helm chart structure for containerized Python/Node services.
LLM observability with Langfuse — tracing LLM calls, spans, prompt versioning, cost tracking, evaluation datasets, and multi-tenant trace isolation in FastAPI/Python applications.
LLM engineering patterns — prompt design, structured outputs with instructor, tool use, context management, model selection/routing, cost optimization, streaming, retry logic, and observability.
MCP (Model Context Protocol) server patterns — FastMCP server design, tool/resource/prompt definitions, authentication, testing, and deployment.
Multi-tenant SaaS patterns — tenant isolation strategies, row-level security, tenant-aware SQLAlchemy models, RBAC, subdomain routing, and Alembic migrations for shared schema.
RAG architecture patterns — document ingestion, chunking strategies, embedding models, vector stores, hybrid retrieval, re-ranking, advanced techniques (HyDE, multi-query), and evaluation with RAGAS.