Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Encode and decode Swift types to and from JSON, property lists, and other external representations using Codable, JSONEncoder, and JSONDecoder. Use when implementing API response parsing, custom CodingKeys for key remapping, custom init(from:) or encode(to:) for complex transformations, nested or flattened JSON structures, heterogeneous array decoding, date and data decoding strategies, lossy array wrappers, Codable integration with URLSession, SwiftData, or UserDefaults, or when configuring encoder/decoder output formatting and key strategies.
Diagnose why a data warehouse sync is failing and recommend the right recovery action. Use when the user asks "why isn't my Stripe/Postgres/Hubspot sync working?", "this table has been stuck for hours", "the data in the warehouse looks wrong", or wants to troubleshoot a specific source or schema. Covers source-level vs schema-level failures, stuck Running states, credential and schema-drift errors, incremental-field misconfig, CDC prerequisite failures, and the cancel / reload / resync / delete-data recovery actions.
Writing clear, discoverable software documentation following the Eight Rules and Diataxis framework. Use when creating README files, API docs, tutorials, how-to guides, or any project documentation. Automatically enforces docs/ location, linking requirements, and runnable examples.
Organize source code by domain owner, keeping models/types with services, defining role and filename conventions, and producing project-wide before/after plans. Use for source packaging and structural moves; use repository-organization for docs/context placement and nix-flake-organization for Nix layout.
Exa.ai company and people search for lead generation, competitive intelligence, and data enrichment. Use when searching for companies, finding people profiles, building lead gen tools, or implementing Websets for data collection at scale. Triggers on: Exa company search, Exa people search, category company, lead generation, company research, profile search, LinkedIn profiles, Websets API, data enrichment, company lookup, find companies, competitive intelligence, recruiting, talent search, 1B profiles.
Physics-based reasoning framework (Musk methodology) that deconstructs a problem into irreducible fundamental truths, classifies every element as a hard constraint, soft constraint, or assumption, then reconstructs the optimal solution from fundamentals alone. Use for first principles, fundamental truths, challenging assumptions, real constraints, rebuilding from scratch, starting over, physics first, questioning everything, or reasoning by analogy. Not for structural feedback loops (use SystemsThinking).
Agentic eyes for Godot work: cross-platform screenshot CLI (asset/region/window/screen) to budgeted WebP, TEMP editor viewport bridge under .gdskills/, and Taste Receptor Atlas v2 (~237 micro-receptors × 0–2: hierarchy, contrast, typography×41, affordance, space, color, icon, composition, light/FX, motion-tells, anti-slop, originality, identity). Use when agents must see UI, assets, or the editor — not for in-game screenshot Autoloads. Keywords: agent vision, screenshot, WebP, visual QA, taste receptors, typography, UI review, asset sheet, editor viewport, anti-slop
Expert blueprint for educational games including gamification loops (learn/apply/feedback/adapt), progress tracking (student profiles, mastery %), adaptive difficulty (target 70% success rate), spaced repetition, curriculum trees (prerequisite system), and visual feedback (confetti, XP bars). Use for learning apps, training simulations, or edutainment. Trigger keywords: educational_game, gamification, adaptive_difficulty, spaced_repetition, student_profile, curriculum_tree, mastery_tracking.
Production incident response automation. Reads logs, checks recent deploys, identifies root cause, suggests fixes, drafts incident comms, creates post-mortem templates. Severity classification (SEV1-4), escalation paths, status page updates. Generates incident-report.md with timeline, root cause, impact assessment, remediation steps, and prevention measures.
Guides the user through integrating Rust-based WASM frontend frameworks with Tauri v2, covering Leptos and Trunk setup, WASM compilation configuration, Cargo.toml dependencies, Trunk.toml bundler settings, and withGlobalTauri API access.
Research, expand, and cluster keywords for content strategy. Use when planning content topics, building keyword lists, expanding seed keywords, clustering by topic and intent, or mapping keywords to funnel stages. Triggers on "keyword research," "keyword expansion," "keyword clustering," "content topics," "what to write about," "topic ideation," "content planning," "6 circles method," "seed keywords," "keyword difficulty," "search volume," "intent mapping," "pillar content strategy," or "content calendar planning." For SEO optimization and auditing, see seo-and-aeo-strategy
Detect and reconcile drift between a feature flag’s in-code SDK fallback default and its LaunchDarkly default rule (fallthrough). Use when a flag’s default rule changed, the user asks to detect flag drift, check whether a hardcoded default still matches LaunchDarkly, sync an in-code default, or open a PR reconciling a fallback value, without removing the flag or its evaluation.
Builds a custom lead scoring model for a business. Takes ICP definition, historical win/loss data, CRM export. Analyzes which attributes correlate with closed-won deals. Generates lead-scoring-model.md with scoring dimensions, point values, thresholds, CRM implementation guide, and validation methodology. Can also score a batch of current leads against the model.
Read, check for updates, and change the version of one or more API dependencies in a Mule project—the same values set in Anypoint Studio Project Properties → API Specs, stored as <{artifactId}.version> properties in pom.xml. Use when the user asks to "get API version", "show API version", "display version info", "check what version an API is on", "any new versions", "any updates available", "check for updates", "update API version", "change API version", "bump API version", "set API version", or requests reading, checking, or modifying an API dependency version in a Mule project.
Guide for using Microsoft MarkItDown - a Python utility for converting files to Markdown. Use when converting PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs, Jupyter notebooks, RSS feeds, or Wikipedia pages to Markdown format. Also use for document processing pipelines, LLM preprocessing, or text extraction tasks.
Strategic automation architecture advisor. Use when users want to plan automation solutions, evaluate their tech stack (Shopify, Zoho, HubSpot, etc.), decide between n8n vs Python/Claude Code, or need guidance on production-ready automation design. Invokes plan mode for complex architectural decisions.
Codex adaptation of the OpenClaw Medical Skills library. Use for biomedical, clinical, healthcare AI, genomics, bioinformatics, drug discovery, pharmacovigilance, clinical trials, medical imaging, public health, medical device, regulatory, scientific data analysis, lab automation, and medical research workflows; also use when the user mentions OpenClaw Medical Skills, medical skill library, or any named capability preserved in the OpenClaw capability index.
Use for DSH plugin compatibility, migration, upgrade, regression, or post-upgrade diagnosis, including read-only review of already-migrated plugin source and version-boundary, API, dependency, activation, or runtime compatibility problems. Inspection and diagnosis stay read-only; show a plan and obtain confirmation before any configuration, dependency, or source write.
Generate deep research reports on prediction market events using the Octagon Prediction Markets Agent. Combines real-time Kalshi market data with AI-driven analysis to surface price drivers, compare market vs. model probabilities, and identify potential mispricings across 120+ active markets.
Expert-level Rust testing — the "What Could Break?" framework, five transformations from superficial to expert tests, flake hunting protocol, intent-based assertions, naming conventions, and a mandatory self-review checklist. Triggers on writing Rust tests, designing test cases, improving test quality, or reviewing test coverage.
Analyze proxy statements (DEF 14A) to extract executive compensation, governance information, and shareholder voting matters using Octagon MCP. Use when researching CEO pay, board composition, say-on-pay votes, and corporate governance practices.
Guide the user through connecting a new data warehouse source, including databases, SaaS tools, and bucket files. Use when the user wants to "connect Stripe", "import data from Postgres", "import files from a bucket", "upload a file", "add a new data source", or pick sync methods for each table. This skill covers source-type discovery, credential validation, table discovery, per-table sync_type selection, and the final create call. Also covers picking a good prefix, what to do right after creation, and sending a source's tables to the user's own warehouse (Snowflake, BigQuery, Postgres, S3 and other destinations).
Create ShinkaEvolve task scaffolds from a target directory and task description, producing `evaluate.py` and `initial.<ext>` (multi-language). Use when asked to set up new ShinkaEvolve tasks, evaluation harnesses, or baseline programs for ShinkaEvolve
Analyzes events through a sociological lens, using social structures, institutions, stratification, culture, norms, collective behavior, and multiple theoretical perspectives (functionalist, conflict, and symbolic interactionist). Provides insights on social patterns, group dynamics, inequality, socialization, social change, and collective action. Use for social movements, inequality, cultural trends, group behavior, institutions, identity, and social change. Evaluates social structures, power relations, inequality, norms, group dynamics, cultural patterns, and social change.
Use when the user asks about revenue, payments, subscriptions, billing, CRM deals, support tickets, ad spend, production database tables, bucket files, or local file uploads. Also use when the user wants to join PostHog events with external data, or when a query fails because an expected table is missing. The data warehouse can import from SaaS tools, ad platforms, databases, object storage, and uploaded files. Covers checking existing sources, identifying the right source type, and guiding setup.
Provider-independent title design and kinetic typography direction for video, animation, ads, explainers, social hooks, brand films, lyric/text videos, title cards, main titles, lower thirds, captions-as-design, and other motion-led text. Use when an agent must plan, prompt, implement, hand off, iterate, or QA typography hierarchy, readability, timing, reveal/hold/exit, motion semantics, line breaks, safe areas, localization, brand constraints, accessibility, flashing/motion safety, or production specs for animated text.
Operate a Traceway observability instance through the traceway CLI: log in, query exceptions, logs, endpoints, and metrics, and debug production issues down to root cause. Use when the user invokes /traceway with a subcommand, e.g. "/traceway login", "/traceway debug issue <hash|url|title>", "/traceway what''s broken in prod", or whenever they want to investigate errors, crashes, slowness, or logs from an app monitored by Traceway.
Trailing stop strategies to lock in profits on NSE/BSE equity positions. Covers ATR trail, structure trail, MA trail, chandelier exit, and the recommended hybrid approach. Use when the user asks: "how to trail my stop", "trailing stop for [stock]", "lock in profits", "when to move stop to breakeven", "chandelier exit", "protect my gains", or any question about dynamically adjusting stop-losses as a trade moves in favor
Teach a topic across many sessions, with one learning repo holding a folder per topic, lessons pitched at what you already know, and spaced retrieval that makes it stick. Use when the user says "explain how X works", "teach me X", "quiz me on what's due", "am I ready on X", "where am I with my learning", or runs "/tutorkit".
A guide to Vue.js 3 best practices covering the Composition API, component design, reactivity patterns, utility-first styling with Tailwind CSS, native integration of the PrimeVue component library, and code organization. Use when writing, reviewing, or refactoring Vue.js code to ensure idiomatic patterns and maintainable code.
Intelligent network quality analysis with adaptive loading strategies. Detects connection type (2g/3g/4g), bandwidth, RTT, and save-data mode, then automatically triggers appropriate optimization workflows. Includes decision trees that recommend image compression for slow connections, critical CSS inlining for high RTT, and save-data optimizations (disable autoplay, reduce quality). Features connection-aware performance budgets (500KB for 2g, 1.5MB for 3g, 3MB for 4g+) and adaptive loading implementation guides. Cross-skill integration with Loading (TTFB impact), Media (responsive images), and Core Web Vitals (connection impact on LCP/INP). Use when the user asks about slow connections, mobile optimization, save-data support, or adaptive loading strategies. Compatible with Chrome DevTools MCP.
Generate articles, manage drafts, publish to “发表记录,” send customer service messages, manage menus, and pull stats on a WeChat Official Account via the WeChat MP server-side API. Use when the user mentions 公众号, 服务号, 订阅号, mp.weixin.qq.com, an AppID/AppSecret for a WeChat Official Account, or asks to draft or publish an article or send a customer message via WeChat.
Disciplined task execution with planning, verification, and self-improvement loops. Use when starting non-trivial tasks (3+ steps), fixing bugs, building features, refactoring code, or when rigorous execution with quality gates is needed. Includes subagent delegation, lessons tracking, and staff-engineer-level verification.
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.