Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Complete Odoo server lifecycle manager — run, deploy, initialize, and manage Odoo across local venv, Docker, and any IDE. Handles server startup/shutdown, environment initialization, database management, Docker orchestration, and IDE configuration for Odoo 14-19. <example> Context: User wants to start the Odoo server user: "Start the Odoo 17 server for my TAQAT project" assistant: "I will activate the virtual environment, locate the TAQAT17.conf config, and start the server with the correct addons path." <commentary>Server start trigger.</commentary> </example> <example> Context: User wants to stop the server user: "Stop the Odoo server" assistant: "I will find and kill the process on port 8069/8072." <commentary>Server stop trigger.</commentary> </example> <example> Context: User wants database backup user: "Backup the taqat17 database" assistant: "I will use pg_dump to create a backup of the taqat17 database with custom format." <commentary>Database operation trigger.</commentary> </example> <example> Context: User wants IDE configuration user: "Set up VSCode for my Odoo 17 project with debug configs" assistant: "I will generate .vscode/launch.json, tasks.json, settings.json, and extensions.json with Odoo-specific configurations." <commentary>IDE config trigger - generates full VSCode workspace setup.</commentary> </example> <example> Context: User wants to initialize a new environment user: "Initialize a new Odoo 17 environment with database" assistant: "I will create a venv, install requirements, configure PostgreSQL, generate .conf, and create the database." <commentary>Environment init trigger.</commentary> </example> <example> Context: User wants to create a new module user: "Create a new module called hr_overtime in the TAQAT project" assistant: "I will scaffold a complete module with models, views, security, and tests." <commentary>Module scaffold trigger.</commentary> </example> <example> Context: User wants to check if module is production-ready user: "Is my module ready for production?" assistant: "I will run tests, security audit, translation validation, and template checks to generate a GO/NO-GO verdict." <commentary>Quality gate trigger.</commentary> </example>
Open Animate — the creative suite for AI agents. Create professional motion graphics, generate images, and render MP4 videos. Use when the user wants to make videos, animations, motion graphics, social clips, product launches, explainers, or any visual content. Supports asset generation (images, backgrounds, upscaling) and video composition with animation presets, transitions, and components.
Operate and build OpenCreator workflows via API. Use when the user wants to search templates, run workflows, poll results, deliver generated media, or design custom workflow graphs with nodes and edges on OpenCreator. Triggers: opencreator, workflow, template, UGC, ecommerce images, storyboard video, lipsync, content creation pipeline.
ORCA v4.0.0 — Gen-1 Vanilla Striker, senpi_runtime_helpers migration. Plumbing-only flip from openclaw cron + mcporter subprocess to in-process SenpiClient + long-lived producer_daemon. Thesis preserved verbatim from v3.0: pure FIRST_JUMP detection + base Striker scoring + volume confirmation. DSL exit managed by plugin runtime via runtime.yaml.
Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments. Covers the 6-stage recon pipeline (seed → asset expansion → enrichment → exposure analysis → convergence → operator-armed active validation) with connector-resilience and stage-vs-gating discipline, asset-graph discipline, severity rubric, confidence upgrade workflows, time budgeting, identity-fabric mapping, breach×identity correlation with per-person identity dossiers, detectability tagging, detection-aware probing, WAF/CDN bypass, vulnerability prioritization, phishing infrastructure planning, bug bounty submission, and client deliverable templates. Use when planning or executing reconnaissance against authorized targets, mapping an organization's external attack surface, investigating a person/entity, or producing client deliverables.
Deploy OSMO using the unified chart on Azure AKS, AWS EKS or an existing Kubernetes cluster. Use for cluster provisioning, deployment storage, KAI Scheduler or GPU Operator installation, and post-install smoke tests. General workflow usage and running-cluster diagnosis belong to osmo-user.
Use ownership and borrowing instead of reaching for clone, Rc, RefCell, or Arc<Mutex<_>> to silence the borrow checker. Every clone must be explainable. Use when code clones to make an error go away, when a borrow-checker fight is being resolved by copying data, when reviewing Rust dense with .clone() or Rc<RefCell<_>>, or when the user asks whether a clone is necessary.
Triage OXYGEN email deliverability: rank sender health worst-first, inspect bounce and auto-pause evidence, check warmup, run approval-gated directional placement tests when useful, and pause or rotate unhealthy mailboxes. External placement data is advisory; bounce auto-pause is authoritative product state.
Run LinkedIn content and warm-signal motions through OXYGEN: founder Posts, approval-gated Publishing, comment-to-DM funnels on owned posts, profile-viewer/follower/connection signals, capped warm Sequences, cookieless public research, and competitor-engager monitoring. Not for generic cold-list sequencing or existing-thread replies.
Operate OXYGEN Sequences for net-new LinkedIn outreach, including one recipient and one step, and for multistep email, LinkedIn, WhatsApp, call, or CRM-task programs. Covers sender readiness, versions, cadence, enrollment, suppression, reply-stop, preview, bounded dispatch, and recovery. Existing-thread replies and direct email use Messages.
Use this skill when a developer wants to design, implement, review, or troubleshoot a PayerMax payment integration — including standard acquiring (cashier, drop-in) and subscription billing (PayerMax-managed plans, merchant-managed plans, non-periodic auto debit). It understands business requests, normalizes scenarios, generates solution documents, and produces implementation code.
Holistic pedagogical review of a lecture deck (`.qmd` or `.tex`). Checks narrative arc, prerequisite assumptions, worked examples, notation clarity, and deck-level pacing. Use when user says "pedagogy review", "does this teach well?", "is the flow right?", "will students follow?", "review the narrative", or before teaching a deck for the first time. Read-only; produces a report.
Evidence structuring and report synthesis for confirmed findings, severity ranking, remediation guidance, executive summaries, technical appendices, and unresolved evidence gaps. Hands off to live validation workflows when proof is incomplete.
Simulates and detects software supply chain attacks: typosquatting detection via Levenshtein distance against popular PyPI package names, dependency confusion testing against private registries, SHA-256 package hash verification, and known-CVE scanning with pip-audit. Use when auditing a project's dependencies for malicious or confused packages, or when assessing package-registry supply-chain risk.
Use when optimizing, auditing, or preparing to ship web animations or rendering performance work: frame loops, scroll/viewport reveals, mount/unmount transitions, canvas/WebGL lifecycles, reduced motion, lazy rendering, and deferred off-screen work. Use for jank, per-frame allocations, forced reflows, render loops, animations that do not pause off-screen, content-visibility, requestIdleCallback, analyzing Chrome DevTools performance traces for animation or rendering issues, or choosing between browser-driven CSS/WAAPI, minimal JS, phase, and Motion/GSAP. Use when the user explicitly asks about phase APIs or behavior. Do not use during exploratory animation ideation, prototyping, visual iteration, or trying variants, even when the code already imports phase; wait until the user asks for performance guidance, an audit, production implementation, ship-readiness review, or about phase itself.
Pharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD, PBPK orientation, bioequivalence, allometric scaling and first-in-human dose, drug interaction prediction, and Bayesian therapeutic drug monitoring. Use when analysing concentration-time data, deriving exposure metrics, fitting PK or PD models, or evaluating dosing regimens. Triggers include "pharmacokinetics", "pharmacodynamics", "PK/PD", "NCA", "non-compartmental", "AUC", "Cmax", "lambda z", "half-life", "clearance", "volume of distribution", "compartmental model", "population PK", "popPK", "NONMEM", "nlmixr2", "Pharmpy", "Monolix", "exposure-response", "Emax", "EC50", "indirect response", "effect compartment", "TMDD", "PBPK", "bioequivalence", "RSABE", "ABEL", "allometric scaling", "first-in-human", "MABEL", "drug-drug interaction", "DDI", "ICH M12", "concentration-QTc", "therapeutic drug monitoring", "MIPD", and "dosing regimen".
Use when a SaaS founder is deciding on or building a product-led growth motion — assessing PLG readiness, choosing freemium vs free trial vs reverse trial, defining activation and PQLs, designing self-serve onboarding and conversion triggers, building viral loops, or setting up PLG metrics (NRG, activation rate, TTV, NDR, CAC payback) and cohort analysis. Also for hybrid product-led-sales design and PLG-vs-sales-led GTM decisions. Not for paid acquisition channel mix (use channel-expert) or the mechanics of price points and tiers (use pricing).
Generate publication-quality matplotlib figures by selecting a pre-built paper style and substituting user data. Use when: user provides data (numbers, arrays, or CSV) and wants a chart in a specific academic style; user asks to "plot this data", "make a bar chart", "draw a radar chart", "用这个风格画图", "把我的数据画出来"; or user selects a style name from the style catalog (bar_paired_delta, bar_grouped_hatch, line_confidence_band, line_training_curve, line_loss_with_inset, scatter_tsne_cluster, scatter_broken_axis, radar_dual_series).
Michael Polanyi's thinking framework. Analyze tacit knowledge, skill acquisition, transmission of experience, apprenticeship, knowledge management, learning methods, the boundaries of AI/tool replacement, scientific communities and post-critical philosophy from Polanyi's perspective. Use when the user asks "用 Polanyi 的视角", "Polanyi 会怎么看", "tacit knowledge", "为什么说不清楚", "怎么传承经验", "SOP 为什么执行不到位", "知识管理", or "师徒制".
Simple Pomodoro timer for focused work sessions with session tracking and productivity analytics. Use when users request focus timers, ask about productivity patterns, or want to track work sessions over time. Demonstrates the System Skill Pattern (CLI + SKILL.md + Database).
Pulls replies from a Smartlead campaign, classifies each as positive/neutral/negative/OOO/bounce/unsubscribe using Claude, and reports the positive reply rate — the north-star metric for cold email. Use when the user wants to know if a campaign is actually working (not just getting replies, but getting the RIGHT replies). Triggers on "score my replies", "how's campaign X doing", "positive reply rate", "is this campaign working".
Detect which gbrain engine is in use (PGLite vs Postgres), prefer Postgres for agent-harness installs, install/provision Postgres (Supabase discovery via SUPABASE_ACCESS_TOKEN, local Postgres, opt-in Docker), and move an existing PGLite brain to Postgres with its history (plan, ask, run). Detection is one engine-free command; the install ladder is one flag.
Create, inspect, edit, and validate professional PowerPoint presentations (.pptx), including uploaded source decks and templates, with design-system extraction, OOXML-preserving edits, structural linting, and rendered visual QA.
Search Alaska Airlines flights and check Atmos Rewards balance from the terminal, with offline-cached airports and agent-native JSON output. Trigger phrases: `search alaska flights`, `atmos rewards balance`, `alaska shoulder dates`, `alaska airport lookup`, `use alaska-airlines`.
Every Render endpoint, plus diff, drift, cost, audit, and orphan analytics no other Render tool ships. Trigger phrases: `diff render env vars`, `promote env vars between render services`, `check render blueprint drift`, `render monthly cost`, `clean up stale render preview environments`, `where is this render env var used`, `render incident timeline`, `render audit log search`, `use render`, `run render-pp-cli`.
Creates and updates GitHub pull requests for cloudflare-docs changes. Load when asked to open, create, submit, update, or edit a PR, or write a PR title or description. Covers title conventions, branch naming, PR body structure, and the documentation checklist template.
Integrates Privy authentication, embedded wallets, and agent payment protocols into web and agentic apps. Covers React SDK (PrivyProvider, hooks, wagmi), Node.js SDK, smart wallets (ERC-4337), x402 and MPP machine payments, Tempo chain, and agentic wallets with policies. Use when setting up Privy auth, creating embedded or agentic wallets, adding x402 or MPP payments, integrating with Tempo, configuring wallet policies, or connecting Privy to MCP/Agent Auth flows.
Universal prompt engineering techniques for any LLM. Use when crafting, optimizing, or reviewing prompts for AI models. Triggers on requests like “improve this prompt”, “write a system prompt”, “optimize my instructions”, “help me prompt engineer”, “audit this prompt”, “review my prompt”, or when building agentic systems that need structured prompts.
Optimize your Webshare proxy pool for a specific target website. Tests all proxies against the target, identifies blocked IPs by country/ASN/subnet using data from the webshare CLI, and replaces them via the Webshare MCP. Use when proxies are failing on a site, when setting up a new scraping target, or when you want to tune your proxy pool. Invoke with a target URL as argument.
Multi-method geophysical modelling and inversion framework. Use when the agent needs to: (1) Perform electrical resistivity tomography (ERT) inversion, (2) Run seismic refraction tomography (SRT), (3) Model induced polarization (IP) data, (4) Simulate ground penetrating radar (GPR), (5) Create finite element meshes for geophysical problems, (6) Perform joint inversions of multiple datasets, (7) Forward model geophysical responses, (8) Analyze time-lapse monitoring data.
Provides comprehensive guidance for pytest testing framework including test writing, fixtures, parametrization, mocking, and plugins. Use when the user asks about pytest, needs to write Python tests, use pytest fixtures, or configure pytest for Python projects.
Deep multi-perspective reasoning via parallel isolated subagents + Codex deliberation host, with final Markdown + HTML + PDF report output. Use for complex questions, tech decisions, social topics, architectural choices, hard analysis, or any question worth thinking harder about. Triggers include 深度分析, 多角度推理, 验证答案, heavyskill, think harder, 让我们深入思考, 推敲一下, 讨论一下, 分析利弊. Do not use for simple factual lookups or routine tasks.
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.