Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
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For breakpoint debugging **Node.js stdio MCP Server** in VS Code (attach to the Node Inspector). Whenever the user mentions: MCP stdio, @modelcontextprotocol/inspector, node --inspect/--inspect-brk, VS Code attach debugging, breakpoints not hit, sourcemap, debugging build/dist output, port 9229 conflict/in use, launch.json configuration, etc., use this skill. The output should directly provide a copy-pasteable launch.json snippet, a runnable inspector launch command (including a port-changing version), and a troubleshooting checklist ordered by priority.
Diagnose a reported bug, task failure, or performance regression with a symptom-specific reproduction and evidence-driven probes. Use standalone for diagnosis or inline within implement-task/auto-implement when the cause is unclear; leave production fixes, verification policy, and task status to the owning workflow.
Debug Spring Boot issues systematically. Use when encountering bean errors like NoSuchBeanDefinitionException, circular dependency issues, application startup failures, JPA/Hibernate problems including LazyInitializationException and N+1 queries, security misconfigurations causing 403 Forbidden errors, property binding failures, CSRF token issues, or any Spring Boot application requiring diagnosis with Actuator endpoints and JVM debugging.
Finds out why a data quality check failed or errored, looks at the rows it matched, and recommends the fix. Also covers a materialized view refresh that the data quality gate did not publish. Use when asked why a check is red, what rows failed, why a view shows "Not published", why a view's data is stale after a refresh, or how to get a blocked refresh published. Trigger terms: failed check, failing rows, errored check, data quality failure, not published, blocked materialization, unpublished refresh, check keeps failing.
Executes agent-enhanced council queries as one Workflow of parallel Claude analyst agents that each query a provider, evaluate response quality, ask follow-up questions, and return a schema-enforced analysis with confidence ratings and blind spot analysis. Invoked when the --agents flag is used or when complex architectural decisions are detected.
Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems thinking, six thinking hats). Use when users want to: (1) deeply understand complex articles/content, (2) analyze arguments and identify logical flaws, (3) extract actionable insights from reading materials, (4) create study notes or learning summaries, (5) compare multiple sources, (6) transform knowledge into practical applications, or (7) apply specific thinking frameworks. Triggered by phrases like 'analyze this article,' 'help me understand,' 'deep dive into,' 'extract insights from,' 'use [framework name],' or when users provide URLs/long-form content for analysis.
Structured development workflow that separates research, planning, and implementation into distinct phases with persistent markdown artifacts. Use when starting any non-trivial feature, refactor, bug investigation, or codebase change. Trigger on: "deep work", "research and plan", "plan before coding", "write a plan", "research this codebase", "don't code yet", "understand then implement", or when the user wants a disciplined approach to a complex task. Also use when the user says "research", "plan", "annotate", "implement the plan", or references research.md/plan.md artifacts.
Use when writing or reviewing Python code in this repo that calls Deepgram audio analytics overlays on `/v1/listen` - summarize, topics, intents, sentiment, diarize, redact, detect_language, entity detection. Same endpoint as plain STT but with analytics params. Covers both REST (`client.listen.v1.media.transcribe_url`/`transcribe_file`) and the WSS-supported subset (`client.listen.v1.connect`). Use `deepgram-python-speech-to-text` for plain transcription, `deepgram-python-text-intelligence` for analytics on already-transcribed text. Triggers include "diarize", "summarize audio", "sentiment from audio", "redact PII", "topic detection audio", "audio intelligence", "detect language audio".
The default web content reader for OpenClaw. Reads X (Twitter) tweets/profiles, Reddit, YouTube, and any webpage into clean Markdown — zero API keys required. Use when you need to ingest social media posts, profiles, articles, or video transcripts into agent memory.
When the user wants to compute or review deferred tax under IAS 12 or ASC 740. Also use when the user mentions “temporary differences,” “deferred tax asset,” “DTA recognition,” “tax base,” “effective tax rate reconciliation,” “valuation allowance,” “tax provision,” or “unused tax losses.”
TRIGGER THIS when building DEI strategy, creating diversity goals, designing inclusive programs, building equity analyses, developing training, addressing inclusion issues, or tracking DEI metrics. Develops comprehensive diversity, equity, and inclusion strategies aligned to business goals with measurable outcomes, training programs, metrics frameworks, and accountability systems.
Triage and fix Dependabot vulnerability alerts in JavaScript/TypeScript repos (Node.js services AND browser frontends). v2.1 workflow with Standard (defensive) and Fast-Track (low-risk) modes — defensive minimal-patched versioning, exposure mapping (Public/API · Client-Bundle · Internal/Dev), CI workflow inspection to detect every PM in play, mandatory lockfile parity check across every PM that touches package.json, changelog scrape with BREAKING/DEPRECATED/MIGRATION flagging, and safety interlock before applying bumps. Fast-Track mode skips changelog + detailed exposure for Internal/Dev or CVSS<7 alerts, but parity check + dual-write are non-negotiable. Covers npm, pnpm, yarn, bun lockfiles. Use when the user shares a Dependabot URL, asks to fix CVEs, or asks which vulnerability to pick first.
Author, edit, or apply a Descope FGA schema using the ReBAC/ABAC DSL. Use this skill whenever the user asks to create a new FGA schema, modify an existing one, add types/relations/permissions/conditions, review an authorization model, or apply schema changes to a Descope project. Trigger even if the user says things like "set up authorization", "define roles and permissions", "add team-based access", "make this endpoint check FGA", or "update my authz model"—these almost always mean an FGA schema change.
Analyze any website's UI style using ChromeDevTools to extract precise CSS tokens, animations, and interaction states. Handles complex sites and anti-bot measures by guiding the user. Triggers on "analyze this site", "extract UI style", "create design system from [URL]", or "learn visual style".
Detect anomalies in Modbus/TCP and Modbus RTU industrial traffic via function code monitoring, register range validation, timing analysis, and deep packet inspection, using Zeek's Modbus analyzer, Suricata IDS with OT rules, and Python Markov chain models of normal transaction sequences. Use for deploying Modbus IDS in OT environments, baselining polling patterns, investigating suspicious Modbus traffic, or building function code allowlists.
Researches GitHub repos/users/orgs and Chrome Web Store extensions via the Crawlora API — search, profiles, contributors, releases, trending, and extension detail/reviews/permissions — returning clean JSON. Use when the user wants a repo or developer's GitHub profile/stats, what's trending on GitHub, or a Chrome extension's details, permissions, or reviews.
Build a design risk analysis, DFMEA worksheet, or interface analysis using the AIAG-VDA FMEA Handbook 2019. Covers design intent, interface failures, boundary diagram, and design robustness before manufacturing. Use during new product development, design changes, or when a field failure reveals a design weakness. Required for IATF 16949 §8.3 scope.
A disciplined diagnostic loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression test. Use when the user says "diagnostica isso" / "debuga isso", reports a bug, says something is broken/throwing/failing, or describes a performance regression. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.
Yandex Direct (API v5/v501) advertising audit, management, and optimization for Unified Performance Campaigns (ЕПК) and combinatorial ads. Full account audits, campaign management, keyword and autotargeting operations, reports with Metrika goals, weekly budget analysis, and optimization recommendations for Russian market PPC. Triggers on: "Яндекс Директ", "Yandex Direct", "директ", "ЕПК", "РСЯ", "YAN", "direct audit", "direct campaigns", "direct report", "direct optimize"
Autonomous harness for building complete applications from a single prompt. Uses dkod for parallel agent execution with AST-level semantic merging. Orchestrates a Planner that decomposes work by symbol into parallel units, N Generator agents that implement simultaneously via isolated dkod sessions, and a skeptical Evaluator that tests the live result via Playwright CLI (preferred) or chrome-devtools MCP (fallback), plus dk_verify. Fully autonomous — zero user interaction from prompt to working, tested PR. Use this skill whenever the user provides a build prompt ("build a...", "create a...", "make a...") or invokes /dkh.
Migrate an existing Django API from django-ninja/ninja-extra to django-modern-rest while preserving routes, request/response contracts, auth, throttling, and test coverage. Use when replacing NinjaExtraAPI/api_controller/http_* handlers/ninja.Schema with dmr controllers/routers and typed DTOs.
Build, run, debug, and manage Docker containers, images, compose files, networking, volumes, registries, Buildx/Bake, Scout/SBOM, Swarm, and Docker AI tooling. Use when the user mentions docker, containers, containerizing, Dockerfile, compose, image registry, volumes, or any docker subcommand.
Technical documentation discovery via context7 and web search. Capabilities: library/framework docs lookup, topic-specific search. Keywords: llms.txt, context7, documentation, library docs, API docs. Use when: searching library documentation, finding framework guides, looking up API references.
Multi-format document parsing tools for PDF, DOCX, HTML, and Markdown with support for LlamaParse, Unstructured.io, PyPDF2, PDFPlumber, and python-docx. Use when parsing documents, extracting text from PDFs, processing Word documents, converting HTML to text, extracting tables from documents, building RAG pipelines, chunking documents, or when user mentions document parsing, PDF extraction, DOCX processing, table extraction, OCR, LlamaParse, Unstructured.io, or document ingestion.
Documents dbt models and columns in schema.yml. Use when working with dbt documentation for: (1) Adding model descriptions or column definitions to schema.yml (2) Task mentions "document", "describe", "description", "dbt docs", or "schema.yml" (3) Explaining business context, grain, meaning of data, or business rules (4) Preparing dbt docs generate or improving model discoverability Matches existing project documentation style and conventions before writing.
Brainstorms creative domain names for projects and checks availability across common TLDs (.com, .ai, .dev, .io, .app). Saves hours of manual searching. Use when starting a new project and need a domain name, or when rebranding existing projects.
Specialist skill for containerized database testing with Testcontainers. Use when testing real database behavior, using SQL Server/PostgreSQL/MySQL containers, or testing EF Core/Dapper. Covers container startup, database migrations, test isolation, and container sharing. Make sure to use this skill whenever the user mentions Testcontainers database, SQL Server container, PostgreSQL container, EF Core integration test, Dapper testing, or Collection Fixture, even if they don't explicitly ask for container-based database testing. Keywords: testcontainers, container testing, database testing, MsSqlContainer, PostgreSqlContainer, MySqlContainer, EF Core testing, Dapper testing, Testcontainers.MsSql, Testcontainers.PostgreSql, GetConnectionString, IAsyncLifetime, CollectionFixture
Generate local AI images and short media with Draw Things CLI on macOS. Use when you need local txt2img, img2img, model setup, imports, prompt refinement, or rig-aware best-model selection. NOT for UI implementation (design), ad copy iteration (ad-creative), or broad vendor/tool research (research).
Professional DrissionPage (Python) automation development workflow and troubleshooting using the bundled DrissionPage docs (v4.1.1.2); use when writing/debugging/refactoring DrissionPage scripts for ChromiumPage/WebPage/SessionPage, element locating and interaction, waits, downloads/uploads, network listening, and configuration.
Drizzle ORM v1 RC upgrade and migration patterns. Use when upgrading drizzle-orm/drizzle-kit to v1 (beta), migrating from Relational Queries v1 to v2, updating relations schema definitions, or working with new v1 features like `through` for many-to-many relations and object-based `where`/`orderBy` syntax.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.