Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Manage SAP AI Core lifecycle resources: scenarios, executables, configurations, and deployments. WHEN: user wants to list or inspect scenarios or executables, create or list configurations, create or list or stop or delete or patch deployments, get deployment logs, or remove duplicate LLM deployments. DO NOT USE FOR: listing foundation models or getting inference examples — use `genai-hub-foundation-models`; managing resource groups, secrets, or GitOps resources — use `aicore-admin-resources`.
Stable, consumer-facing API and interface design patterns. Use when designing REST endpoints, cross-team boundaries, or any externally consumed or versioned service contract. Covers contract-first development, error semantics (RFC 9457), REST conventions, pagination, idempotency, rate limiting, and backward compatibility. For an in-process feature or module's coherent responsibility and interface depth, use codebase-design. For TypeScript type patterns and trust-boundary validation, see typescript-strict.
Use for "automate me", "create/update/refresh my -mode skill", "turn/capture my preferences or working style into a skill", or wanting agents to follow how the user works. Drafts or revises a personal -mode skill via the authoring-a-skill playbook + unslop, optionally pulling fresh evidence from recent transcripts.
Expert knowledge for Azure Files development, including best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations, coding patterns, and deployment. Use with Azure File Sync, cloud tiering, NFS/SMB shares, AVD FSLogix profiles, or RAG over Azure Files, and for other Azure Files development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure NetApp Files (use azure-netapp-files), or Azure Virtual Machines (use azure-virtual-machines).
Expert knowledge for Azure Front Door development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations, coding patterns, and deployment. Use when configuring domains/HTTPS, rules engine and caching, TLS/mTLS security, Private Link origins, or tier migrations, and for other Azure Front Door development tasks. Not for Azure Application Gateway (use azure-application-gateway), Azure Load Balancer (use azure-load-balancer), Azure Traffic Manager (use azure-traffic-manager), or Azure Web Application Firewall (use azure-web-application-firewall).
Expert knowledge for Azure Static Web Apps development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when wiring SWA APIs to Azure DBs, configuring custom domains/backends, Entra auth, CI/CD, or plan limits, and other Azure Static Web Apps related development tasks. Not for Azure App Service (use azure-app-service), Azure Functions (use azure-functions), Azure Container Apps (use azure-container-apps), Azure Web Application Firewall (use azure-web-application-firewall).
Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', or reviewing a small diff you don't trust.
Develop a practical execution plan for breakout trading, from observation and triggers to follow-up and handling failures, accounting for volume-price confirmation, market conditions, and retreating when a trade fails. Suitable for pre-market planning, intraday breakout tracking, and first-day execution for strong stocks.
Составляет однозначный план реализации без написания кода. Используй, когда пользователь явно просит составить, подготовить или расписать план реализации, внедрения либо исправления. Не используй, когда пользователь хочет обсудить варианты и ещё не выбрал решение, просит зафиксировать только желаемый результат без шагов, сразу реализовать задачу или провести ревью изменений.
Designs, evaluates, audits, and implements WebMCP tools: client-side tools a web page exposes to in-browser AI agents on document.modelContext, via registerTool, declarative form attributes (toolname, tooldescription), React useWebMCP, or Angular provideExperimentalWebMcpTools. Use when a developer wants to make a website or web app agent-ready, analyze a site or URL for WebMCP user journeys, add or review tools for in-browser agents, write tool schemas, descriptions, annotations, or evals.json, audit existing WebMCP tools, or fix Lighthouse "Agentic browsing" and DevTools WebMCP findings. Not for backend MCP servers over stdio or SSE, or for standalone scraping scripts.
Build a new dashboard, or update an existing one, from a set of insights — the same job the in-app assistant does with its upsert-dashboard tool, but over MCP. Use when a user asks to create a dashboard, put several metrics/charts together on one page, assemble a dashboard for a topic (product analytics, retention, revenue, activation, etc.), or add/remove/replace insights on a dashboard they already have. Covers deciding create vs update, reusing existing insights vs creating new ones, and using PostHog's vetted dashboard templates as reference for what a strong dashboard on a topic looks like.
Helps engineering managers support direct report growth — produces a stage-by-stage model of engineering impact (Circles of Influence), a framework for non-linear career planning (Tarzan Method), diagnostic signals for stalled growth, conversation scripts for career talks, and a promotion readiness vs. timing distinction. Use when the user says "career growth," "promotion," "career path," "this person wants to grow," "career conversation," "what's next for this person," "career ladder," "IC vs manager track," "how do I help my report advance," "help someone grow," or "engineer wants a promotion." Do NOT use for formal written performance reviews or underperformance — use performance-reviews instead.
Manage Claude Code session transcripts from local JSONL storage, including listing candidate sessions, exporting full or selected sessions to organized Markdown, inspecting archives, and summarizing tool-call history. Use when the user asks to scan, parse, archive, inspect, recover, summarize, manage, or convert Claude Code sessions, `~/.claude/projects` data, `.jsonl` transcripts, tool-call history, or hard-to-read Claude Code conversation logs.
Create a plan for the specified task and store it as GitHub issues in the repository of the current working directory. Given the URL of a GitHub issue, it turns that issue into the parent "plan" issue (Goal, Context and a checklist of phases) and creates one child issue per phase, linking every phase as a native GitHub sub-issue of the parent. Stops for user approval before creating any issue. After creation, the plan is meant to be implemented with the codely-plan-phase-implement-github skill.
An intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection, building knowledge graphs, or adding audit trails. Replaces basic flat-file memory with a cognitive architecture featuring episodic, semantic, procedural, and core memory stores. Supports multi-agent systems with shared-read, gated-write access. Includes philosophical meta-reflection that deepens understanding over time. Covers MEMORY.md, episode logging, entity graphs, decay scoring, reflection cycles, evolution tracking, and system-wide audits.
When the user wants to find Slack groups, Discord servers, Reddit communities, forums, or online communities where their target audience hangs out. Also use when the user mentions “where to promote”, “find communities”, “community marketing”, or “distribution channels”
Implement Cross-Site Request Forgery (CSRF) protection for API routes. Use this skill when you need to protect POST/PUT/DELETE endpoints, implement token validation, prevent cross-site attacks, or secure form submissions. Triggers include "CSRF", "cross-site request forgery", "protect form", "token validation", "withCsrf", "CSRF token", "session fixation".
Core workflow for in-depth individual stock analysis. Trigger when users request in-depth or comprehensive analysis, ask you to take a look or assess whether a stock is worth buying, or request DCF, institutional modeling, or an initiation of coverage, investment committee memo, or other individual stock research. Covers A-shares, Hong Kong stocks, and US stocks, producing 22-dimensional data, quantitative reviews by 66 experts, six institutional-grade valuation models (DCF/Comps/LBO/3-Stmt/Merger), seven research deliverables (initiation of coverage/earnings analysis/catalyst calendar/investment thesis tracking/morning brief/quantitative screening/industry overview), six decision methods (IC Memo/DD/Porter/unit economics/VCP/rebalancing), and pump-and-dump detection. Generates a Bloomberg-style HTML report and a social-sharing performance report. Keywords: stocks, individual stocks, in-depth analysis, valuation, DCF, comps, initiation of coverage, IC memo, pump and dump, top-trader list, akshare.
Create or audit maintainable diagrams when relationships, sequence, state, hierarchy, or quantitative comparisons are materially clearer visually than in prose. Selects a format the destination actually renders, preserves source authority, validates output, and includes an accessible text explanation.
Find post-earnings opportunities where results and guidance both strengthen, price and volume action is positive, and further upside momentum is possible. Output tracking priorities, continuation conditions, and invalidation boundaries. Suitable for earnings trading, assessing trend continuation, and organizing post-event watchlists
Handle spreadsheet operations (Excel/CSV) with high-fidelity modeling, financial analysis, and visual verification. Use for budget models, data dashboards, and complex formula-heavy sheets. Use proactively when zero formula errors and professional standards are required. Examples: - user: "Build an LBO model" -> create Excel with banking-standard formatting - user: "Analyze this data and create a dashboard" -> use openpyxl + artifact_tool - user: "Verify formulas in this spreadsheet" -> run recalc.py to check for errors
Explore and diagnose a PostHog endpoint's execution logs — error messages, failed runs, cache misses, slow runs, or unexpected row counts during endpoint invocations. Use when the user says "my endpoint is failing", "show me the logs for endpoint X", "what error did endpoint Y produce", "why did endpoint Z return no rows", "is this endpoint hitting cache", or "check the last N runs". Focused on a single named endpoint's runtime log entries, not project-wide auditing or query performance profiling.
Identify, measure, and exclude bot / crawler / AI-agent traffic in PostHog web and product analytics using the traffic classification surface (the isLikelyBot / getTrafficType HogQL functions and the $virt_* virtual properties). Use when the user asks to "exclude bots", "filter out crawlers", "remove bot traffic from my numbers", "how much of my traffic is bots / AI crawlers", "is GPTBot / ChatGPT / Claude hitting my site", "break down traffic by human vs bot", or wants clean human-only counts in an insight or dashboard. For the real-time Live tab bot tiles, use exploring-live-traffic instead.
Gate Exchange market analysis tool. Use when the user asks for deep market metrics like liquidity, slippage, funding arbitrage, or manipulation risk. Triggers on 'liquidity', 'depth', 'slippage', 'momentum', 'buy/sell pressure', 'squeeze', 'funding rate', 'arbitrage', 'basis', 'premium'.
Run `@metaharness/darwin evolve {repo}`: mutate a harness's seven policy surfaces, sandbox-score each variant, and promote only measured wins. Use when evolving a harness against its tests or a bench suite. Degrades gracefully without darwin (ADR-150/153)
Install and wire registry blocks and components into HyperFrames compositions. Use when running hyperframes add, installing a block or component, wiring an installed item into index.html, or working with hyperframes.json. Covers the add command, install locations, block sub-composition wiring, component snippet merging, and registry discovery
Create distinctive, high-converting landing pages that combine proven conversion elements with exceptional design quality. Build beautiful, memorable landing pages using Next.js 14+ and ShadCN UI that avoid generic AI aesthetics while following the 11 essential elements framework.
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.