Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Use when creating, iterating on, or checking Make App frontend approval integration: default approval navigation after requirements confirmation, BPM/bpmDefinitionKey, approval creation fields, save and submit, initiating unsubmitted records, withdrawal, resubmission after return, process status and title Tag, as well as the @qfei-design/make-app-approval My Approvals package, Pending/Completed, task detail processing, and approval history. Does not cover the process designer, Console approval management, the backend approval engine, or restarting a terminal-state process without confirmation.
PDN DC voltage/current analysis, IR drop, design rule checking, and multi-net batch analysis on imported PCB layouts. TRIGGER: user asks about power integrity, PDN analysis, IR drop, voltage distribution, current density, power nets, or design rule checking on a PCB. Invoke BEFORE writing code — the PDN API chain is specialized and non-obvious. SKIP: importing a PCB file (use matlab-read-pcb-layout), EM field/S-parameter extraction (use matlab-analyze-em), material/stackup setup only (use matlab-manage-pcb-material), transmission line design (use matlab-design-pcb-transmission-line).
Designs, reviews, and migrates MATLAB R2026a and GNU Octave numerical code, covering functions with arguments blocks, arrays and indexing, tables and timetables, matlab.unittest tests, MATLAB Projects, exportgraphics figures, MAT file inventory, and MATLAB-Python interoperability. Includes static helper scripts that scan .m files, plan argv commands, and hash artifacts without executing anything. Use when writing or reviewing .m code, migrating code between MATLAB releases or to Octave, setting up reproducible tests and projects, inspecting an untrusted MAT or .mlx file safely, or checking Python Engine compatibility. Do not use for pure Python numerical work with NumPy or SciPy.
Use when the user needs to build MCP (Model Context Protocol) servers — tool definitions, resource management, prompt templates, transport layers, and client integration. Triggers: user says "MCP", "MCP server", "model context protocol", building tools for AI clients, creating AI integrations.
Self-evolving behavioral geometry and metacognitive lens for AI agents. Tracks perceptions, overrides, protections, self-observations, decisions, and curiosities that evolve from every experience. Use when the agent needs to learn from mistakes, develop self-awareness, track confidence in decisions, maintain behavioral guardrails from failures, preserve emergent behaviors, or cultivate active curiosities. Triggers on all conversations, corrections, errors, and reflective moments. Also use when setting up a new agent's self-learning system, configuring feedback loops, or packaging metacognitive capabilities.
Query official Microsoft documentation for concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP by default, with Context7 and Aspire MCP for content outside learn.microsoft.com.
Parse documents, extract structured content, and run OCR using the Mixedbread Parsing API. Use when parsing PDFs, Word documents, PowerPoint slides, or images, extracting tables or form fields, running OCR on scanned documents, converting documents to markdown or HTML, or extracting structured chunks with element-level bounding boxes and confidence scores.
Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput.
Turn an app idea or an existing React Native app into a Nav Read - tab structure, route tree, push/modal/sheet decisions, deep links, Android back plan - without building any screens. Use when planning navigation for a new app, restructuring an existing app's navigation, or deciding whether something is a tab, a push, a modal, or a bottom sheet. For building the screens afterward use mobile-taste; for full-app visual redesign use mobile-redesign-app.
Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.
Molecular docking pipeline using AutoDock Vina for structure-based drug discovery. Triggers on docking, AutoDock Vina, receptor preparation, ligand preparation, PDBQT, grid box, virtual screening, binding affinity, pose prediction, structure-based virtual screening, "redocking RMSD", "Vina score", "docking pose", "prepare receptor", "ligand library screening".
Real-time blockchain event monitoring with webhooks. Use when user asks about setting up webhooks, real-time event streaming, monitoring wallet addresses, tracking token transfers in real-time, listening to all addresses on a chain, creating/updating/deleting streams, adding/removing addresses from streams, or receiving blockchain events as they happen. Supports all EVM chains. NOT for querying historical or current blockchain state - use moralis-data-api instead.
Drive the Morpho lending protocol from the terminal via `npx @morpho-org/cli@latest` — queries vaults/markets/positions and prepares unsigned Morpho transactions with built-in simulation across all supported chains (Ethereum, Base, Arbitrum, Optimism, Polygon, Unichain, World Chain, Katana, HyperEVM, Monad, Stable). Invoke whenever the user asks to explore Morpho vault APYs / TVL / allocations ("best USDC vault on Base"), compare Morpho Blue markets ("ETH/USDC markets on Arbitrum"), inspect positions or health factor ("what are my Morpho positions"), or prepare any Morpho operation — deposit, withdraw, supply, borrow, repay, supply/withdraw collateral — even when the user doesn't explicitly name the CLI. If the user is writing application code that integrates Morpho, prefer the morpho-builder skill instead.
Reasoning skill for multi-omics data integration strategy selection. Use when the user asks to integrate transcriptomics with proteomics, combine multi-omic layers, choose between early intermediate or late integration, apply batch correction across omics, handle partial sample overlap, run MOFA+ or iCluster, interpret multi-omic factors, select enrichment methods for multi-omic signatures, or decide how to merge genomics epigenomics transcriptomics proteomics and metabolomics data. Triggers include "multi-omics integration", "combine omics layers", "early vs late fusion", "MOFA+", "iCluster", "batch correction across omics", "partial overlap", "multi-omic enrichment", "kernel integration", "concatenation vs stacking", "SNF", "similarity network fusion", "intermediate integration", "multi-omic factor analysis".
NocoBase 2 only; never use in a NocoBase 3 project. Use when a NocoBase task requires AI employee lifecycle work such as discovering existing employees, judging fit, creating or maintaining a dedicated employee, and preparing it before another skill binds it to a UI surface.
Use when writing or running Nushell commands, scripts, or pipelines - via the Nushell MCP server (mcp__nushell__evaluate), via Bash (nu -c), or in .nu script files. Also use when working with structured data (JSON, YAML, TOML, CSV, Parquet, SQLite), doing ad-hoc data analysis or exploration, or when the user's shell is Nushell.
Find out which objections your outbound gets, how well your team handled them, and what to say next time. Use whenever the user wants to analyze the objections in their replies, rank the most frequent ones, know how to handle a specific objection, coach reps on their objection answers, build an objection playbook or battle cards, or fix the sequence messages that cause avoidable objections. Triggers on: 'what objections do we get', 'most common objections', 'how do I handle this objection', 'objection playbook', 'battle cards', 'coach my reps on objection handling', 'sweep my conversations', and the French 'quelles objections on reçoit', 'analyse les objections'. Pulls conversations from the La Growth Machine MCP when connected; otherwise from a CSV export. Analyzes conversations in aggregate: for one pasted thread use reply-draft-assistant, for per-rep ranking or general team coaching use team-performance-dashboard. For SDR, RevOps, Growth, Head of Sales and founders. Maintained by La Growth Machine.
Use when a project contains okteto.yaml or okteto.yml, or when the user mentions Okteto, dev environments, or an okteto command. Also use before running kubectl, helm, or docker build in a repo that has an Okteto manifest; when okteto up hangs or seems stuck; when parallel git worktrees collide over the same environment; or when deciding whether okteto destroy or okteto namespace delete is safe to run.
Use when the user describes a broken or unhealthy Okteto environment. Triggers on phrases like: "service is crashing", "service keeps restarting", "service won't start", "environment is broken", "deployment is failing", "pods are stuck", "pods are not ready", "pods are pending", "CrashLoopBackOff", "OOMKilled", "ImagePullBackOff", "Evicted", "what's wrong with my service", "debug my environment", "why won't it start", "something's wrong", "logs show errors", "service isn't responding", "my code changes aren't showing up", "file sync is stuck". Also triggers if the user pastes kubectl or okteto output showing unhealthy pod states.
Use OpenViking from OpenClaw through @openviking/openclaw-plugin: long-term memory, session archives, resource and Agent Skill import, semantic recall, recall trace debugging, and externalized tool-result recovery. Prefer this skill when the user wants to use, query, debug, or operate OpenViking context from an OpenClaw agent. For first-time plugin installation, use the install-openviking-memory skill instead.
Styles Rails views with RoleModel's Optics design system — its components, `--op-` design tokens, and theme overrides. Use when writing or reviewing CSS, styling a view or component, picking a color, spacing, font, radius, or shadow value, fixing hard-coded CSS values, adding a project token, or theming an app (brand colors, fonts, color scales, dark mode). Also use when the user says things like "style this", "make this look like the design", "what token should I use", "fix the hard-coded colors", "change the brand color", or "add dark mode".
Build, debug, test, and publish Orca plugins end to end: app, terminal, and icon themes, syntaxes, language packs, custom editors, HTML or TSX components sidebar panels, palette commands and shortcuts, and Node worker commands that react to workspace and agent events. Use when the user asks to make, change, fix, or ship an Orca plugin, to add a panel, command, theme, editor, or language to Orca, or works in a folder with an orca-plugin.json. Use `orca-cli` only to list, enable, or disable plugins that are already installed.
This skill MUST be used to combine qualitative and quantitative research (質性與量化整合、混合研究), including research design, literature review, evidence synthesis, and innovation (研究設計、文獻探討、證據綜整、創新). It SHOULD be used when a research question benefits from integrating contextual understanding with measurement or testing. It MUST NOT force numerical synthesis when evidence is unsuitable or override explicit single-method constraints.
Pachca -- security log: tracking logins, user actions, message edits, and DLP violations. Requires the "Корпорация" plan. Use this skill when the user wants to view security events, audit log, login history, suspicious activity, find out who did what, export security logs, or track DLP violations. NOT for sending messages or managing employees. Use when: security log, audit, security events, who logged in, login history, suspicious activity, DLP, log export, API tokens. NOT for: sending messages, managing employees.
Pachca — tasks and reminders: create, list, update, complete, delete. Use this skill when the user wants to create a task or reminder, list tasks, mark a task as done, update a task, manage custom task fields, or set a deadline. Also for weekly reminders and reminder series. NOT for sending messages or managing chats. Use when: создать задачу, список задач, напоминание, поставить напоминание, создать напоминание, обновить задачу, выполнить задачу, удалить задачу, дедлайн, кастомные поля задач, еженедельное напоминание, серия напоминаний. NOT for: отправить сообщение, управление чатом.
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
Guides authorized penetration testing with PentestingEverything as the source-grounded knowledge base. Use when scoping an engagement, building domain checklists, hunting a vulnerability class, choosing tools/commands, or drafting evidence-based findings from this repository's Markdown.
Use when optimizing application performance, reducing load times, improving database queries, meeting performance budgets, or diagnosing bottlenecks in web applications or APIs. Triggers: slow page loads, poor Web Vitals, database timeouts, large bundle size, user-reported sluggishness, scaling preparation.
PHP web source code file upload audit tool. Identifies upload entry points and save paths, file name handling and validation logic, detects arbitrary file upload/path traversal/executable upload risks, and outputs exploitability ratings, PoC and remediation advice (omission not allowed).
Security audit tool for Laravel framework-specific behavior. Performs white-box static auditing of common Laravel framework features such as authentication, CSRF, Session, model filling, and Blade rendering, and maps the risks to your existing general vulnerability taxonomy (AUTH/CSRF/LOGIC/XSS/CFG, etc.).
Symfony framework feature security audit tool. Performs white-box static auditing of common Symfony framework mechanisms such as security.yaml, CSRF, Twig/Twig raw, expressions and access control, and maps risks to a general vulnerability taxonomy (AUTH/CSRF/CFG/XSS/TPL/LOGIC, etc.).
Adds or modifies robot hardware integrations under physicalai.robot. Use when implementing the Robot protocol, SO101 or Trossen WidowX drivers, robot connect helpers, verify.py checks, optional extras so101 or trossen, or tests in tests/unit/robot.
Pi terminal agent workspace — install, /commands, sessions, compaction, settings.json, AGENTS.md, skill discovery, precedence, session JSONL, /tree, providers/auth, models.json, credential resolution, platform setup, editor (@file, Tab, images, !bash), message queue (steering, follow-up), built-in tools (read/bash/edit/write/grep/find/ls, --tools, --no-tools), print mode (-p, piped stdin), SYSTEM.md/APPEND_SYSTEM.md, CLI flags (-c, -r, --session, --fork, --no-session), @files args, resource flags (--no-extensions, --no-skills), model shorthand (provider/id, name:thinking), all slash commands, env vars, philosophy (no MCP/sub-agents/plan-mode by design). Use for pi config, skills, sessions, compaction, providers, models, tmux, Termux, Windows, tools, modes, system prompt, message queue, or "does pi support X".
Guidance for designing public key infrastructure (PKI) and certificate management on Azure and hybrid environments. Covers CA strategy (offline root + issuing CAs, AD CS vs managed/third-party vs public CA), Azure Key Vault certificates, HSM key protection, Entra certificate-based authentication (CBA), certificate lifecycle (issuance, renewal, rotation, revocation), and Intune SCEP/PKCS distribution. WHEN: PKI design, certificate authority, root CA offline, issuing CA, certificate management, Key Vault certificates, certificate-based authentication, CBA, certificate lifecycle, issue and rotate certificates, mTLS certificates, code signing, CRL OCSP, certificate expiry, certificate rotation, AD CS, HSM, Managed HSM. DO NOT USE for Entra ID identity model (use entra-id) or Key Vault secrets/keys only (use azure-key-vault).
Create a complete YouTube video plan with title options, thumbnail concepts, hooks, and content outline. Use when planning a new video, creating title/thumbnail/hook options, or when the user says 'plan a video', 'video plan', 'plan my next YouTube video', or 'I want to make a video about'.
This skill should be used when users need help with content planning, calendar management, research organization, content ideation, or multi-platform planning. It activates when users ask about content planning, calendar management, research organization, content ideation, or multi-platform planning.
Use when: you need to design a business model canvas, plan a profit model, set a pricing strategy, or design a revenue model. Do NOT use when: the business model is already defined and validated, or only a simple pricing adjustment rather than a full design is needed
Multi-dimensional prioritisation of requirements/features/projects, producing version scheduling recommendations. Use this Skill when the user says "help me prioritise", "how should these requirements be ordered", "score with RICE", "ICE scoring", "Kano analysis", "cost-benefit analysis", "feature scheduling", "roadmap planning", "what to do first and what later", "version planning", or when the user lists a batch of requirements/features/projects and needs a decision order. Also applies when: the user wants to compare the results of multiple prioritisation models; the user has doubts about the current roadmap and wants to re-evaluate; resources are limited and requirements need to be cut; the user mentions professional terms such as "RICE", "ICE", "Kano", "priority matrix". Not applicable to: pure project management (scheduling Gantt charts), pure requirements document writing (use pm-prd-writer), pure user research design (use pm-survey-designer).
Use when building, debugging, or evaluating CloudBase PostgreSQL / CloudBase PG / PG mode apps, including Postgres schema setup, queryPgDatabase/managePgDatabase, JS SDK v3 app.rdb() CRUD/RPC, PG HTTP API fallback, RLS-style permissions, username-password auth, and Web CMS/admin CRUD flows backed by CloudBase PG.
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.