メニュー
Local Langfuse documentation reference (latest). Langfuse LLM observability documentation. Use for LLM tracing, evaluation, prompt management, datasets, experiments, OpenTelemetry integration, and SDK setup.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Local Finnhub API documentation reference (latest). Use for real-time stock/forex/crypto prices, company fundamentals and financials, earnings, news and sentiment, ETF/mutual fund holdings, economic data, alternative data (insider transactions, congressional trading, ESG), and WebSocket trades.
Local twikit documentation reference (latest). Async Python wrapper for the Twitter/X internal API — no API key required. Use for Client login (auth_info_1/auth_info_2/password/TOTP/cookies), tweets (create/delete/like/retweet/bookmark, search, get_tweet_by_id, polls, community notes), users (get_user_by_id/screen_name, follow/block/mute, followers/following), DMs, lists, communities, notifications, trends, media upload, streaming events, geo/places, rate limits, and account-protection guidance.
Local x-python documentation reference (latest). X (Twitter) API v2 — Python SDK (XDK) reference. Official OpenAPI-generated client for X API v2. Covers OAuth (Bearer Token / OAuth 2.0 PKCE / OAuth 1.0), automatic pagination, real-time streaming, and per-module clients for posts, users, lists, spaces, direct_messages, communities, community_notes, compliance, account_activity, webhooks, media, streams, trends, usage, connections, news, activity, and general endpoints.
Local A2A (Agent-to-Agent) protocol documentation (latest). Use for agent communication, task management, streaming, push notifications, and enterprise-ready agent interoperability.
Local agentskills documentation reference (latest). Agent Skills format documentation — use for creating SKILL.md files, understanding the specification, integrating skills support into AI coding agents, and following best practices for skill creation and evaluation.
Local Vercel AI SDK documentation reference (latest). Use for AI chat interfaces, text generation, structured output, tool calling, agents, MCP, streaming, embeddings, and multi-provider support.
| name | olore-langfuse-latest |
| description | Local Langfuse documentation reference (latest). Langfuse LLM observability documentation. Use for LLM tracing, evaluation, prompt management, datasets, experiments, OpenTelemetry integration, and SDK setup. |
Langfuse is an open-source AI engineering platform for LLM observability, prompt management, and evaluation. Use this skill when working on LLM tracing, evaluation workflows, prompt versioning, datasets, experiments, or any Langfuse SDK integration.
contents/
├── index.mdx # Platform overview (start here)
├── v4.mdx # Fast Preview / v4 migration guide
├── security-and-guardrails.mdx
├── observability/ # LLM tracing, SDK, features (35 files)
├── prompt-management/ # Prompt versioning, caching, CI/CD (19 files)
├── evaluation/ # Scores, datasets, experiments, judges (16 files)
├── api-and-data-platform/ # REST API, export, MCP server (10 files)
├── administration/ # Auth, SSO, RBAC, data retention (9 files)
└── metrics/ # Dashboards and metrics API (3 files)
| Topic | Key Files |
|---|---|
| Getting started with tracing | contents/observability/get-started.mdx, contents/observability/sdk/instrumentation.mdx |
| SDK setup (Python/JS) | contents/observability/sdk/overview.mdx, contents/observability/sdk/instrumentation.mdx |
| SDK migration | contents/observability/sdk/upgrade-path/python-v3-to-v4.mdx, contents/observability/sdk/upgrade-path/js-v4-to-v5.mdx |
| v4 Fast Preview upgrade | contents/v4.mdx |
| Trace data model | contents/observability/data-model.mdx |
| Agent tracing | contents/observability/features/agent-graphs.mdx, contents/observability/features/mcp-tracing.mdx |
| Sessions and users | contents/observability/features/sessions.mdx, contents/observability/features/users.mdx |
| Cost tracking | contents/observability/features/token-and-cost-tracking.mdx |
| Sampling and masking | contents/observability/features/sampling.mdx, contents/observability/features/masking.mdx |
| Prompt management | contents/prompt-management/get-started.mdx, contents/prompt-management/overview.mdx |
| Prompt versioning | contents/prompt-management/features/prompt-version-control.mdx |
| Prompt variables and templates | contents/prompt-management/features/variables.mdx, contents/prompt-management/features/message-placeholders.mdx |
| Prompt caching | contents/prompt-management/features/caching.mdx |
| A/B testing prompts | contents/prompt-management/features/a-b-testing.mdx |
| LLM-as-a-judge evaluation | contents/evaluation/evaluation-methods/llm-as-a-judge.mdx |
| Scores and scoring | contents/evaluation/scores/overview.mdx, contents/evaluation/evaluation-methods/scores-via-sdk.mdx |
| Datasets | contents/evaluation/experiments/datasets.mdx |
| Running experiments | contents/evaluation/experiments/experiments-via-sdk.mdx, contents/evaluation/experiments/experiments-ci-cd.mdx |
| Annotation / human eval | contents/evaluation/evaluation-methods/annotation-queues.mdx |
| Public REST API | contents/api-and-data-platform/features/public-api.mdx |
| Querying data | contents/api-and-data-platform/features/query-via-sdk.mdx |
| Data export | contents/api-and-data-platform/features/export-from-ui.mdx, contents/api-and-data-platform/features/export-to-blob-storage.mdx |
| MCP server (authenticated) | contents/api-and-data-platform/features/mcp-server.mdx |
| Auth / SSO / RBAC | contents/administration/authentication-and-sso.mdx, contents/administration/rbac.mdx |
| Data retention and deletion | contents/administration/data-retention.mdx, contents/administration/data-deletion.mdx |
Use this skill when the user asks about:
TOC.md for the complete file listing by directorycontents/{path}