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SkillsMP has collected 111 skills from randoneering/randoneering-agent-guide. Open a skill to review its source and details.
randoneering/randoneering-agent-guideShowing 40 of 111 collected skills.
Identifies error-prone APIs, dangerous configurations, and footgun designs that enable security mistakes. Use when reviewing API designs, configuration schemas, cryptographic library ergonomics, or evaluating whether code follows 'secure by default' and 'pit…
Iteratively reviews and fixes Claude Code skill quality issues until they meet standards. Runs automated fix-review cycles using the skill-reviewer agent. Use to fix skill quality issues, improve skill descriptions, run automated skill review loops, or…
Verifies code implements exactly what documentation specifies for blockchain audits. Use when comparing code against whitepapers, finding gaps between specs and implementation, or performing compliance checks for protocol implementations.
Identifies dependencies at heightened risk of exploitation or takeover. Use when assessing supply chain attack surface, evaluating dependency health, or scoping security engagements.
Builds and queries multi-language source code graphs for security analysis. Includes pre-analysis passes for blast radius, taint propagation, privilege boundaries, and entry point enumeration. Use when analyzing call paths, mapping attack surface, finding…
Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, analyzing security vulnerabilities, or performing systematic code audits after finding an initial issue.
Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C/C++/Rust code handling secrets, keys, passwords, or…
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
MUST USE when reviewing ClickHouse schemas, queries, or configurations. Contains 28 rules that MUST be checked before providing recommendations. Always read relevant rule files and cite specific rules in responses.
Use when a user wants to deploy ClickHouse to the cloud, go to production, use ClickHouse Cloud, host a managed ClickHouse service, or migrate from a local ClickHouse setup to ClickHouse Cloud.
Write, review, and improve blog posts for the Sentry engineering blog following Sentry's specific writing standards, voice, and quality bar. Use this skill whenever someone asks to write a blog post, draft a technical article, review blog content, improve a…
Analyze a repository to generate recommended Claude Code settings.json permissions. Use when setting up a new project, auditing existing settings, or determining which read-only bash commands to allow. Detects tech stack, build tools, and monorepo structure.
ALWAYS use this skill when creating or updating pull requests — never create or edit a PR directly without it. Follows Sentry conventions for PR titles, descriptions, and issue references. Trigger on any create PR, open PR, submit PR, make PR, update PR…
Ansible automation, playbooks, and configuration management. Activate when working with Ansible YAML files or discussing Ansible patterns.
Data governance & security analysis by generating SQL queries against Snowflake ACCOUNT_USAGE views. Use for: access control, audit trails, who accessed what, permissions, role hierarchies, PII/data classification, masking/row access policies, grants, tags,…
Nix/NixOS package development, maintenance, and system configuration. Triggers: .nix, flake.nix, default.nix, nixpkgs, derivation, buildRustPackage, buildPythonPackage, NixOS modules. Covers package development, nixpkgs contributions, NixOS configuration,…
PostgreSQL architecture and design patterns skill covering database schema design, partitioning strategies (range, list, hash, multi-level), high availability architectures (streaming replication, Patroni, failover), multi-tenancy models (shared schema,…
Comprehensive PostgreSQL database engineering skill covering configuration tuning (postgresql.conf, memory, WAL, autovacuum), query optimization (EXPLAIN analysis, index design, rewriting patterns), cloud providers (AWS RDS, GCP Cloud SQL, Azure), database…
Use when creating Python scripts that fetch data from REST APIs, when adding new API integrations, or when the user asks for help grabbing data from weather, IoT, or external services
Python project workflow guidelines. Triggers: .py, pyproject.toml, uv, pip, pytest, Python. Covers package management, virtual environments, code style, type safety, testing, configuration, CQRS patterns, and Python-specific development tasks.
Interactive testing of Cortex Agents. Use this when you want to test specific questions, debug responses, and explore agent behavior through hands-on exploration. For persisting results to formal evaluation datasets, use the dataset-curation skill.
Establish a consistent protocol for tracking agent optimization work by organizing per-agent workspaces, versioned configuration snapshots, evaluation outputs, and a running optimization log.
This skill contains best practices on how to write good system prompt/instructions. This is useful for tasks such as designing a prompt to automatically generate tool descriptions for semantic models in Snowflake Intelligence.
This skill goes through a workflow for creating a new Cortex Agent with tools (Cortex Search Services and Semantic Views).
Create and manage evaluation datasets for Cortex Agents. Use this to build datasets from scratch, from production data, or to add questions to existing datasets. Outputs datasets in the format required by Snowflake Agent Evaluations.
Interactively debug specific agent query failures to identify and fix routing, SQL, or response issues. Use when investigating why a specific query fails or produces incorrect results, either from live testing or production event logs.
Run formal evaluations on Cortex Agents using Snowflake's native Agent Evaluations. Use this to benchmark agent performance, measure accuracy metrics (correctness, tool_selection_accuracy, tool_execution_accuracy, logical_consistency), and compare…
This goes through a workflow to guide AI assistants through optimizing Snowflake Cortex Agents for production readiness through systematic evaluation, improvement, and generalization. The process uses AI reasoning combined with human domain expertise to…
"Use for optimizing existing Cortex Search services.
Use for **ALL** requests that mention: create, build, set up, debug, fix, troubleshoot, optimize, improve, evaluate, or analyze a (Cortex) agent. This is the **REQUIRED** entry point - even if the request seems simple. DO NOT attempt to debug (Cortex) agents…
Complete reference guide for Cortex Code (CoCo) CLI. Use when: learning cortex features, understanding commands, troubleshooting setup, exploring Snowflake tools, managing sessions, configuring agents, keyboard shortcuts, MCP integration. Triggers: how to use…
Snowflake billing and credit analysis - generates SQL queries against ACCOUNT_USAGE billing/metering views to analyze Snowflake account charges and credit consumption (compute, storage, data transfer costs). Use for: virtual warehouse costs, credit…
**[REQUIRED]** Use for ALL Streamlit tasks: creating, editing, debugging, beautifying, styling, theming, optimizing, or deploying Streamlit applications. Triggers: streamlit, st., dashboard, app.py, beautify, style, CSS, color, background, theme, button,…
Building chat interfaces in Streamlit. Use when creating conversational UIs, chatbots, or AI assistants. Covers st.chat_message, st.chat_input, message history, and streaming responses.
Building multi-page Streamlit apps. Use when creating apps with multiple pages, setting up navigation, or managing state across pages.
Customizing Streamlit styling. Use for: theme colors, button styling, widget backgrounds, CSS customization. Covers config.toml, key= for CSS targeting, st.html(), .st-key-X selectors.
Deploy Streamlit applications to Snowflake using the `snow` CLI tool. Covers snowflake.yml manifest configuration, compute pools, container runtime, and deployment workflow.
Displaying charts, dataframes, and metrics in Streamlit. Use when visualizing data, configuring dataframe columns, or adding sparklines to metrics. Covers native charts, Altair, and column configuration.
Optimizing Streamlit app performance. Use when apps are slow, rerunning too often, or loading heavy content. Covers caching, fragments, and static vs dynamic widget choices.
Structuring Streamlit app layouts. Use when placing content in sidebars, columns, containers, or dialogs. Covers sidebar usage, column limits, horizontal containers, dialogs, and bordered cards.