network-tools
Linux network tools and diagnostics
proxy
代理服务器配置
tcp-ip
TCP/IP 网络诊断与排查
traffic-analysis
流量分析与抓包
vpn
VPN 配置与管理
benchmarking
性能基准测试
tuning
系统调优
audit
安全审计
firewall
防火墙配置
hardening
系统加固
ssl-tls
SSL/TLS 证书
apache
Apache HTTP Server 配置
cron
定时任务管理
log-analysis
日志分析与处理
nginx
Nginx configuration and optimization
ssh
SSH 管理与安全
systemd
Systemd 服务管理
code-comprehension-quiz
Test user understanding of code changes and explanations. Generates adaptive multiple-choice quizzes. Only triggers on explicit request - when user says "quiz me", "test my understanding", or "/quiz". Does NOT auto-trigger.
smc-crt-analysis
Analyze any asset (stocks, crypto, forex) using Smart Money Concepts (SMC) and Candle Range Theory (CRT). Use when the user asks for technical analysis, market structure analysis, liquidity analysis, order block identification, or price action reading. Triggers include "SMC analysis", "CRT analysis", "market structure", "order blocks", "liquidity sweep", "break of structure", "change of character", "fair value gap", "imbalance", "premium/discount", "smart money", "institutional flow", "POI", "sniper entry", "turtle soup", "where is smart money", "Wyckoff", "Elliott Wave", or any request to analyze price charts using institutional order flow concepts. Also triggers when analyzing entry/exit points, stop loss placement, or identifying manipulation patterns on any timeframe.
validate-pr
Validate AI-generated PR review comments — check whether they are accurate or hallucinated by cross-referencing each comment against the actual code changes. Use when the user asks to validate PR comments, review the bot/AI comments on a pull request, check if review comments are accurate or hallucinated, or triage which review feedback is worth addressing. Triggers include "validate PR comments", "are these AI review comments accurate", "check for hallucinated review comments", "review the bot comments on this PR", "which of these PR comments are real", "validate the AI feedback on PR", "triage PR review comments".
feature-workflow
Feature planning, specification, phased implementation, progress tracking, per-phase PRs, and archival workflow. Use when starting a new feature, creating spec documents, breaking work into phases, tracking progress, managing PRs, or archiving completed specs.
react-query-best-practices
React Query v4 (TanStack Query) best practices, patterns, and troubleshooting. Use when working with useQuery, useMutation, query invalidation, caching, WebSocket integration, or any async state management in React. Based on TkDodo's comprehensive blog series.
email-marketing-bible
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template-skill
Replace with description of the skill and when Claude should use it.
migrating-dbt-core-to-v2
Use when a user needs help triaging dbt-core to dbt v2 migration errors. Runs dbt-autofix first, then classifies remaining errors into actionable categories (auto-fixable, guided fixes, needs input, blocked).
upgrading-dbt
Use when a user wants to upgrade, update, or migrate a dbt project to the latest version — e.g. "upgrade my dbt project," "migrate this off dbt 1.5," "get this project running on the latest dbt," "bump the dbt version." Upgrades a dbt v1 project (on 1.3, 1.4, 1.5, 1.6, or 1.7) all the way to 1.12, applying the required breaking, behavior, and deprecated changes from a data-driven issue corpus. Inputs — starting_version (the project's current dbt minor, one of 1.3/1.4/1.5/1.6/1.7) and adapter_type (snowflake/redshift/bigquery/databricks/spark); both are normally supplied by the caller (e.g. the dbt VS Code extension), with fallbacks described in the skill.
answering-natural-language-questions-with-dbt
Writes and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions. Use when a user asks about analytics, metrics, KPIs, or data (e.g., "What were total sales last quarter?", "Show me top customers by revenue"). NOT for validating, testing, or building dbt models during development.
building-dbt-semantic-layer
Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.
configuring-dbt-mcp-server
Generates MCP server configuration JSON, resolves authentication setup, and validates server connectivity for dbt. Use when setting up, configuring, or troubleshooting the dbt MCP server for AI tools like Claude Desktop, Claude Code, Cursor, or VS Code.
fetching-dbt-docs
Retrieves and searches dbt documentation pages in LLM-friendly markdown format. Use when fetching dbt documentation, looking up dbt features, or answering questions about dbt Cloud, dbt Core, or the dbt Semantic Layer.
maintaining-dbt-documentation
Audits dbt documentation coverage and drafts missing model/column descriptions in the project's own house style, one folder at a time, for human review. Use when documenting undocumented models, backfilling missing YAML descriptions, auditing doc coverage, or keeping schema YAML in sync with model SQL — especially on multi-contributor projects where new models routinely land undocumented.
querying-the-dbt-information-schema
Use when answering questions about a dbt v2 project's own metadata — which models, sources, tests, columns, configs, tags, packages or lineage exist, what is untested or undocumented, what depends on what, how long models took in the last run — or when using `dbt show --info`, `{{ info_schema() }}`, `--generate-info-schema`, `target/info_schema/`, or writing `dbt check` SQL. Prefer this over grepping YAML or parsing `manifest.json` on dbt v2.
running-dbt-commands
Formats and executes dbt CLI commands, selects the correct dbt executable, and structures command parameters. Use when running models, tests, builds, compiles, or show queries via dbt CLI. Use when unsure which dbt executable to use or how to format command parameters.
troubleshooting-dbt-job-errors
Diagnoses dbt Cloud/platform job failures by analyzing run logs, querying the Admin API, reviewing git history, and investigating data issues. Use when a dbt Cloud/platform job fails and you need to diagnose the root cause, especially when error messages are unclear or when intermittent failures occur. Do not use for local dbt development errors.
using-dbt-for-analytics-engineering
Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show. Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes.
using-dbt-state
Use when a user is enabling, configuring, optimizing, or debugging dbt State (the server-backed reuse mechanism that clones or skips nodes instead of rebuilding them). Use when they conflate dbt State with the `state:modified` selector or `--state` deferral. Use when asked about models rebuilding unexpectedly, views with `select *` rebuilding, volatile SQL (`current_timestamp()`, `random()`) rebuilding or not, cross-developer cloning, lag_tolerance.
working-with-dbt-mesh
Use when changing a dbt model in a way that could break its consumers — renaming, removing, or retyping a column, or changing a model that downstream models, exposures, dashboards, or BI tools depend on — to judge whether the change is breaking and who it affects. Also use when versioning a model (model versions, latest_version, latest_version_pointer, deprecation_date, migration windows), enforcing contracts, setting access or groups, or doing multi-project dbt Mesh work (cross-project refs via dependencies.yml, disambiguating similarly-named models, splitting a monolith). Covers single- and multi-project, and planning or advising as well as implementing.
adding-dbt-unit-test
Creates unit test YAML definitions that mock upstream model inputs and validate expected outputs. Use when adding unit tests for a dbt model or practicing test-driven development (TDD) in dbt.
creating-mermaid-dbt-dag
Generates a Mermaid flowchart diagram of dbt model lineage using MCP tools, manifest.json, or direct code parsing as fallbacks. Use when visualizing dbt model lineage and dependencies as a Mermaid diagram in markdown format.
migrating-dbt-project-across-platforms
Use when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time compilation to identify and fix SQL dialect differences.
wix-headless-replatform
Clone, rebuild, migrate, or reverse-engineer a public website home page into a Wix Headless frontend while preserving source identity, SEO, interactions, and visual fidelity.
wix-replatform
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web-design-guidelines
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
remote-bash
Execute bash commands against any public GitHub repository without cloning it locally. Use when the user needs to explore, search, or analyze external repos, check dependency source code, or investigate implementation details in third-party code.
vercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
skill-memory
Use skill-memory to download, view and edit agent skills in memory. TRIGGER by 'skill', 'memory', 'learn'.
code-review-router
Intelligently routes code reviews between Gemini CLI and Codex CLI based on tech stack, complexity, and change characteristics. Use when you want an automated code review of your current changes.
rp-diet
Evidence-based nutrition guidance from The Renaissance Diet 2.0. Activate when users ask about diet for body composition, macros, calories, meal timing, fat loss, muscle gain, cutting, bulking, or nutrition periodization.
rp-training
Evidence-based hypertrophy training guidance from Scientific Principles of Hypertrophy Training. Activate when users ask about building muscle, weight training programming, volume/intensity/frequency, recovery, periodization, or exercise selection for muscle growth.
sbs-training
Stronger By Science (SBS) program templates by Greg Nuckols. Activate when users ask about SBS programs, autoregulated training, training max systems, set threshold progression, reps to failure progression, last set RIR, program builder, or want to set up/run any of the 12 SBS spreadsheet programs.
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