skills/integrations/langfuse/langfuse-master/SKILL.md
SHARED RESOURCES - DO NOT LOAD DIRECTLY. Contains Langfuse API client, config checker, and reference documentation. Used by langfuse-connect and all operation skills.
npx skillsauth add beam-ai-team/beam-next-skills langfuse-masterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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DO NOT LOAD THIS SKILL DIRECTLY - This is a resource library for other Langfuse skills.
Provides shared resources for all Langfuse integration skills:
API client for Langfuse REST API.
from langfuse_client import get_client
client = get_client()
traces = client.get("/traces")
Validates environment variables.
# Check config
uv run python check_langfuse_config.py --json
# Test connection
uv run python check_langfuse_config.py --test
Returns:
{
"status": "configured" | "not_configured",
"ai_action": "proceed_with_operation" | "prompt_for_api_key",
"missing": [...],
"configured": [...]
}
Required in .env:
LANGFUSE_PUBLIC_KEY=pk-lf-...
LANGFUSE_SECRET_KEY=sk-lf-...
LANGFUSE_HOST=https://tracing.beamstudio.ai
langfuse-connect - User entry pointlangfuse-list-traces - GET /traceslangfuse-get-trace - GET /traces/{id}langfuse-list-observations - GET /v2/observationslangfuse-get-observation - GET /observations/{id}langfuse-list-sessions - GET /sessionslangfuse-get-session - GET /sessions/{id}langfuse-list-scores - GET /v2/scoreslangfuse-get-score - GET /v2/scores/{id}langfuse-list-models - GET /modelslangfuse-get-model - GET /models/{id}langfuse-get-project - GET /projectsdevelopment
--- name: taste-skill type: skill version: '1.0' author: Leonxlnx (packaged by Zhichao Li) category: general tags: - frontend - design - anti-slop - landing-page updated: '2026-06-11' visibility: public description: Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check. license: MIT.
development
Use when communicating quantitative information in any form — Slack updates, emails, reports, decks, dashboards, landing pages, product UI, public talks. Covers two integrated layers: (1) making numbers semantically meaningful (translation, anchoring, simplification, story-pairing) and (2) showing numbers cleanly (chart vs table vs prose, chart-by-message, pre-attentive emphasis, color discipline, decluttering). Distilled and integrated from *Show Me the Numbers* (Stephen Few) and *Make Numbers Count* (Chip Heath & Karla Starr). Not for raw data analysis or statistics — this is about communication of numbers, not their derivation.
development
Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.
tools
Stateful multi-session tutor adapted for Beam — teach a stakeholder to understand, trust, and operate a specific agent, or teach a Solution Engineer a client's business process for delivery. Grounds every lesson in Knowledge Hub sources (real agent graphs, real tasks, transcripts, Linear) before any web resource. Also works for any general topic. Trigger on "teach me", "beam teach", "教我", "onboard <person> on <agent>", "help <stakeholder> understand the agent", "learn this client's process".