Safer agent skills

This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions

B · Good evidence · Execution High

This skill calculates key financial ratios and metrics from financial statement data for investment analysis

B · Good evidence · Execution High

Audit an Anthropic Cookbook notebook based on a rubric. Use whenever a notebook review or audit is requested.

B · Good evidence · Execution High

Demo of a customer service agent (Cymbal Air) using LangGraph, Tools, and RAG to interact with Google Cloud Databases via MCP Toolbox. Topics: agent, agents, ai, alloydb, bigquery, databases, genai, google-cloud-ai, lang

C · Review first · Execution High

Write Metal/MPS kernels for PyTorch operators. Use when adding MPS device support to operators, implementing Metal shaders, or porting CUDA kernels to Apple Silicon. Covers native_functions.yaml dispatch, host-side opera

C · Review first · Execution High

Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean s

C · Review first · Execution High

Generate a Codex Super Bowl merch redemption URL (tokenized) and open it. Use when a user asks to redeem Super Bowl/Codex merch, needs a redemption token, or wants the merch redemption link.

C · Review first · Execution High

Build self-contained interactive HTML dashboards with Chart.js, dropdown filters, and professional styling. Use when creating dashboards, building interactive reports, or generating shareable HTML files with charts and f

C · Review first · Execution High

Profile and explore datasets to understand their shape, quality, and patterns before analysis. Use when encountering a new dataset, assessing data quality, discovering column distributions, identifying nulls and outliers

C · Review first · Execution High

Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, o

C · Review first · Execution High

Research a prospect then draft personalized outreach. Uses web research by default, supercharged with enrichment and CRM. Trigger with "draft outreach to [person/company]", "write cold email to [prospect]", "reach out to

C · Review first · Execution High

Skills Cli skill from xixu-me/skills. Agent Skills maintained by me for practical engineering work Topics: agent-skills.

C · Review first · Execution High

Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata. The skill's code, instructions, and required credential (TAVILY_API_KEY) are consistent with a simple Tav

D · Limited evidence · Execution High

Research markets with sizing, segmentation, competitor mapping, pricing checks, and demand validation that turn fuzzy ideas into decision-ready evidence. Use...

C · Review first · Execution Low

Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment repo

C · Review first · Execution Low

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generatio

B · Good evidence · Execution High

LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes implementing RAG, tool call

C · Review first · Execution High

Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready. The skill's requirements and instructions are c

D · Limited evidence · Execution High

Drizzle ORM schema and database guide. Use when working with database schemas (src/database/schemas/*), defining tables, creating migrations, or database model code. Triggers on Drizzle schema definition, database migrat

B · Good evidence · Execution High

Convert PyTorch AT_DISPATCH macros to AT_DISPATCH_V2 format in ATen C++ code. Use when porting AT_DISPATCH_ALL_TYPES_AND*, AT_DISPATCH_FLOATING_TYPES*, or other dispatch macros to the new v2 API. For ATen kernel files, C

C · Review first · Execution High

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computi

C · Review first · Execution High

Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, schemas, LLMs, Docling or LlamaParse doc processing

C · Review first · Execution High

Backup and restore OpenClaw data. Use when user asks to create backups, set up automatic backup schedules, restore from backup, or manage backup rotation. Handles ~/.openclaw directory archiving with proper exclusions.

C · Review first · Execution Low