Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
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Design and audit admin audit logs covering privileged actions, configuration changes, user/role management, billing/admin settings, data export/delete, API tokens, integrations, security events, retention, tamper evidence, customer access, filters, exports, SIEM, alerting, privacy, and enterprise evidence. Use when customers or operators need trustworthy administrative traceability.
Async deep research via Gemini Interactions API (no Gemini CLI dependency). RAG-ground queries on local files (--context), preview costs (--dry-run), structured JSON output, adaptive polling. Universal skill for 30+ AI agents including Claude Code, Amp, Codex, and Gemini CLI.
Use when making a repo agent-ready, verifying harness consistency, checking for documentation drift, bootstrapping harness infrastructure (AGENTS.md as index, docs/ structure, CI verification, enforcement mechanisms), or auditing repo agent-readiness maturity level.
Run a bounded second-model code review with Codex Sol or Claude Fable. Use one combined correctness, security, structural-simplicity, modularity, and reuse contract for one initial review plus up to two convergence retries when accepted findings change the source. Use when the user asks for agent review, a second opinion, security review, adversarial review, or deep code-quality review.
Build or rebuild a private, local-first macOS system that measures daily Git commits, active AI-agent sessions, and instruction prompts, then sends aggregate charts to Discord. Use when someone asks to set up an agentic productivity tracker, install daily agent reports, recreate this architecture on a Mac, or understand how to build it safely. Differentiator: creates a fresh system from generic contracts and never copies another person's data, paths, credentials, repositories, prompts, or private configuration.
Proposes updates to AGENTS.md so repo-local coding-agent instructions stay accurate, non-contradictory, and consolidated. Use when the user corrects the agent (e.g. do not do X, always do Y, from now on, remember this), asks to edit or sync AGENTS.md, CLAUDE.md, .claude/CLAUDE.md, or GEMINI.md, wants one canonical instruction file or to deduplicate agent docs, or flags conflicting or outdated repository agent rules.
Clarifies the relationship between aggregates and transaction boundaries, and detects and corrects the anti-pattern of including multiple aggregates in a single transaction. Applies the principle that an aggregate is a strong consistency boundary, and that when a use case updates multiple aggregates it should use eventual consistency. Use when detecting transaction boundary issues during code review, use case design, or refactoring. Target languages: language-agnostic (Java, Kotlin, Scala, TypeScript, Go, Rust, Python, and all others). Triggers: activated by transaction boundary related requests such as "updating multiple aggregates in the same transaction", "the use case has @Transactional", "how to keep consistency between aggregates", "should we use the Saga pattern", "transaction boundary design", "one transaction one aggregate", "implementing eventual consistency", "transactions spanning aggregates".
A comprehensive suite of protocols, meta-prompts, and orchestration tools designed to streamline software development workflows, project management, and team collaboration. Includes the VibeCode Protocol Suite with web interface, user manuals, and reusable templates for efficient development processes
Full-service AI video agency workflow built on the Higgsfield CLI. Turns a single reference photo into a complete cinematic multi-scene video with consistent character identity: character sheet → transformation morph → story scenes → reverse transformation. Use this skill whenever the user wants to create an AI video story, transform themselves into a character, make a multi-scene/multi-clip video, produce a YouTube short or hook, create an ad or brand story from a photo, or says things like "make a video of me as X", "tell a story with my photo", "create AI clips", "video storytelling", or "KI Video". Also trigger when the user provides a portrait/selfie and wants any kind of narrative video from it.
Optimize e-commerce search relevance across the full pipeline from query understanding to result presentation. Use this skill when the user needs to improve search quality, implement query processing features, or diagnose search relevance issues — even if they say 'search results are bad', 'improve product search', or 'search relevance optimization'.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Transform vague intent or incomplete requirements into validated, testable requirements through diagnostic state progression and structured dialogue. Use when user has an idea, feature request, problem statement, or existing requirements document that needs clarification or validation before design or implementation.
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Comprehensive guide for AntV L7 geospatial visualization library. Use when users need to: (1) Create interactive maps with WebGL rendering (2) Visualize geographic data (points, lines, polygons, heatmaps) (3) Build location-based data dashboards (4) Add map layers, interactions, or animations (5) Process and display GeoJSON, CSV, or other spatial data (6) Integrate maps with AMap (GaodeMap), Mapbox, Maplibre, or standalone L7 Map (7) Optimize performance for large-scale geographic datasets
Capture animated demo videos of deployed Domo App Studio apps using Playwright browser automation. Navigates pages, scrolls content, records smooth video of the real production UI (left-nav, native cards, pro-code cards, theme, data). No sample data or Remotion — captures what the user actually sees. Use when a deployed App Studio app needs a polished walkthrough video, animated GIF, or multi-page screenshot set.
Apply to Good Outcomes through an interactive semantic challenge. Use when a candidate wants to apply for AI-Assisted Full Stack Engineer or AI Engineer - ML & Classification Systems roles. Guides through gathering info, solving an embedding-based puzzle, and submitting the application.
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
Legacy alias for the storyboard skill. Use when someone invokes /artboard or asks for the former artboard workflow; explain that it is now Storyboard, then create a text-only cinematic video storyboard in video_prompt and clear the image prompt without generating a grid image.
Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models. Use when you need to analyze marketing channel effectiveness, calculate conversion attribution, optimize marketing budgets, or understand customer journey paths. Supports channel transition analysis, ROI calculation, and marketing optimization insights with Chinese language support.
Audit websites for SEO, performance, security, technical, content, and 15 other issue categories with 230+ rules using the squirrelscan CLI. Returns LLM-optimized reports with health scores, broken links, meta tag analysis, and actionable recommendations. Use to discover and assess website or webapp issues and health.
Specialized skill for working with NextAuth.js authentication including session management, JWT tokens, role-based access control, and protected routes. Use when implementing authentication features, securing routes, managing user sessions, or debugging auth issues.
Automatically locate and fetch authoritative public data (preferring APIs/official bulk downloads) and output a reproducible scraping and cleaning plan. Invoke when the user needs authoritative data, official statistics, API downloads or data source scraping.
Unified entry skill for awiki-cli, providing agent identity and IM capabilities, including direct messaging, group chat, attachment send/receive, and supported end-to-end encrypted text and attachment workflows; responsible for routing related tasks, minimal loading, safety rules, and confirmation rules.
Use when encrypting data, signing payloads, verifying signatures, generating keys, using Secure Enclave, migrating from CommonCrypto, or adopting quantum-secure cryptography. Covers CryptoKit design philosophy, AES-GCM, ECDSA, ECDH, Secure Enclave keys, HPKE, ML-KEM, ML-DSA, and cross-platform interop with Swift Crypto.
Use when implementing passkey sign-in, replacing passwords with WebAuthn, configuring ASAuthorizationController, setting up AutoFill-assisted requests, adding automatic passkey upgrades, or migrating from password-based authentication. Covers passkey creation, assertion, cross-device sign-in, credential managers, and the Passwords app.
AI image generation with OpenAI, Google, DashScope and Replicate APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
Use when the user has concrete failing cases in code or a guardrail/classifier/filter/prompt/API they own — a red-team failure catalogue OR a CI/CD test-failure report (failing pytest/JUnit tests) — and wants the target patched until those failures are closed without breaking what already works. It points straight at the failed cases (normalize any source with tools/ingest.py), fixes one root-cause class per iteration, and re-checks with tools/verify.py — oracle mode against a red-team oracle, or tests mode against the test suite — keeping a patch only if it closes a class while nothing that passed before regresses, else reverting; loops until every class is closed (dry) or the budget runs out, then opens a pull request with the patch set. The defensive fixer half of a find→fix setup. Not for discovering new failures (that is red-team), and not for editing the oracle, tests, or holdout that define ground truth.
All-atom protein design using BoltzGen diffusion model. Use this skill when: (1) Need side-chain aware design from the start, (2) Designing around small molecules or ligands, (3) Want all-atom diffusion (not just backbone), (4) Require precise binding geometries, (5) Using YAML-based configuration. For backbone-only generation, use rfdiffusion. For sequence-only design, use proteinmpnn. For structure validation, use boltz.
BotLearn — AI Agent capability platform CLI. **Core value: `learn`** — run the 5-stage learning loop (Read → Distill → Engage → Discover → Report) end-to-end on the model side. Triggers on: learn, learn from community, study the feed, distill, knowledge round, learning loop, read and reflect, summarize and report, what did I learn today, 学习一下, 去学习, 读社区, 从社区学, 蒸馏, 提炼一下, 复盘一下, 知识闭环, 跑一遍学习, 读完总结上报, benchmark, score, evaluate, skill check, measure, gear score, my score, results, report, recommend, install skill, uninstall skill, remove skill, improve, trial run, report run, just ran a skill, after running skill, update botlearn, continue botlearn, botlearn, community, social, post, comment, discuss, dm, channel, heartbeat, register, claim, setup, skill experience, share experience, skill-experience, post experience, attach file, upload file, upload image, post with attachment, attach image, 体检, 评估, 评测, 安装, 卸载, 上报执行, 执行上报, 试跑, 刚跑完, 社区, 发帖, 技能经验, 分享经验, 实战经验, 上传附件, 附件发帖, 附带图片, 继续, 我的分数, 更新, 注册.
Run structured brainstorming sessions using paired explorer/challenger agent teams. Explorers generate ideas, challengers play devil's advocate, and 2-3 rounds of debate produce pressure-tested proposals. Use when brainstorming product ideas, exploring feature directions, evaluating strategic options, generating milestone candidates, or when the user says "brainstorm", "explore ideas", "what should we build next", "generate options", or "run an ideation session".
Drive a real browser to QA a feature end-to-end as a user would. Loads the Playwright MCP playbook plus the failure modes to avoid. Use whenever you need to verify a UI feature works in a browser, capture PR screenshots, repro a customer bug visually, or do end-of-task dogfooding before declaring something "done". This is the QA stage of orchestrate mode.
Schedule meetings, check availability, and manage calendars across Google, Outlook, and CalDAV. Routes to focused sub-skills for datetime resolution and calendar scheduling. Also available as temporal-cortex. Both listings install the same MCP server and share the same source code.
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.