Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Use this skill for BlueField-3 (BF3) day-1 platform bring-up via the classic RShim/BFB path: pushing a BlueField bundle (BFB) to the DPU over RShim with bfb-install from the host, the host-to-DPU TMFIFO management channel (tmfifo_net0, the 192.168.100.x convention), RShim daemon state and console-over-rshim, DPU mode selection (DPU/embedded-function vs separated-host/NIC mode) via mlxconfig, post-BFB recovery, a six-state BlueField-state classifier, and verifying the install (cat /etc/mlnx-release plus version checks). Trigger even when the user does not say "BF3" — typical phrasings include {push a BFB to my BlueField-3}, {bfb-install exited 0 but the DPU never came back}, {ping 192.168.100.2 works but ssh fails}, or {is DOCA on the host or the Arm side?}. BFB reflash, mlxconfig set, mode changes, and firmware burns are destructive: require explicit target-bound confirmation and load doca-hardware-safety. App launch, container deploy, env install, and the BF4 BMC-Redfish path route elsewhere.
Build, debug, and review Eleventy v3 sites and Nunjucks templates. Use when `package.json` includes `@11ty/eleventy` or `@awesome.me/buildawesome`; when paths include `.eleventy.js`, `eleventy.config.*`, `.njk`, `.11tydata.js`, or `.11ty.js`; when asked to "create an 11ty page", "add a Nunjucks filter", "fix my layout chain", "review my .njk template", "set up Eleventy", or "migrate to Build Awesome" (v4 prerelease); or when debugging Eleventy data cascades, shortcodes, autoescape, or `| safe` output. Standalone Nunjucks work is in scope; generic static-site, SSG, or CSP tasks need confirmed Eleventy or Nunjucks context.
Provider-independent explainer video production for AI agents creating educational, product, concept, nonprofit/public-service, onboarding, training, animated, mixed-media, and short social explainers. Use when an agent must turn a topic, brief, research corpus, product, process, policy, dataset, or complex idea into a factual, accessible, narrated, captioned, storyboarded, generated-media-ready explainer video with claim review, localization, pacing, variants, and QA.
How to explore and make sense of PostHog Signals scouts — the scheduled agents that scan a project and emit findings into the Signals inbox. Use when a user wants to understand what scouts they have, how each one is behaving, and whether the fleet is actually working. Covers surveying the fleet and its schedules, reading recent scout runs and drilling into a single run's reasoning, inspecting the durable scratchpad memory the fleet has built up, tracing a run to the findings it emitted, and assessing a scout's health and performance over time (cadence, success rate, emit rate, signal-to-noise). Read-only and exploratory — to write or tune a scout, use `authoring-signals-scouts` instead. Trigger on "what are my scouts doing", "how is my <x> scout performing", "show me recent scout runs", "why did this scout find/emit nothing", "what has the fleet learned", "explore scout run <id>", "is my scout working"
Use when about to consume content from any external/untrusted source — files from externally-cloned repos, WebSearch results, WebFetch responses, or fetched files. Identifies and neutralizes prompt-injection attempts via hybrid regex + LLM detection. Returns sanitized content plus a structured report. Maintains a persistent flagged-sources document at docs/security/flagged-sources.md that turns repeat-offender sources into automatic caution-bumps. Severity-keyed action: low and medium are removed (replaced with [REMOVED: marker]), high aborts the whole sanitization. Flagged content is never echoed back to the caller. One layer of defense in depth — combine with synthesis guard rails and user review. Hand-authored, security-critical.
Fix Content Security Policy (CSP) compliance issues that UI5 linter reports but cannot auto-fix. Use this skill when linter outputs: - `csp-unsafe-inline-script` with message "Use of unsafe inline script" Trigger on: inline JavaScript in HTML files, script tags without src attribute, onclick/onload handlers in HTML. Also use when user mentions 'security headers', 'inline script warning', 'CSP policy', 'unsafe-inline', or 'Content-Security-Policy'. Provides guidance on moving inline scripts to external files for CSP compliance.
Fix runtime-breaking patterns in JS files that the UI5 linter does NOT report. Use this skill when: - Tests fail after modernization with "ReferenceError", "TypeError: Cannot read properties of undefined", or "X is not defined" - The linter shows zero remaining errors but tests still crash at runtime - Phase 3, Step 3.2 of the modernize-ui5-app workflow (runs after the parallel globals batch, before fix-cyclic-deps) - User mentions "runtime errors after modernization", "test failures after modernization", "global namespace still used" - After running fix-js-globals and fix-cyclic-deps, but tests STILL fail - User sees "X is not a constructor" or module loading errors in test output The linter only checks sap.* globals in JS. App-specific namespace patterns (e.g., com.example.app.utils.Module) are invisible to it. This skill detects and fixes those across ALL JS files — app source AND test. NOTE: App-namespace globals in XML files are handled by `fix-xml-globals` — NOT by this skill.
Fix partially deprecated API usage that UI5 linter reports but cannot auto-fix. Use this skill when linter outputs: - `no-deprecated-api` for Parameters.get, JSONModel.loadData, Mobile.init, ODataModel.v2.createEntry, View.create, Fragment.load, Router constructor - `unsupported-api-usage` for string formatter in JS bindings Trigger on: Parameters.get without object param, JSONModel.loadData with bAsync=false, Mobile.init with homeIcon, createEntry with batchGroupId, View.create/Fragment.load with non-XML type, Router without async:true, formatter as string in JS. Provides specific fix patterns for each partially deprecated API variant.
Run preflight and postflight checklists against UX flows before you design and before you ship. Covers onboarding, forms, pricing, dashboards, and empty states. Returns structured findings with severity and smell linkage. Requires uxuiprinciples.com API Access (pro tier).
SEO & GEO Dual-Engine Playbook 2026 — Rank on Google and get cited by AI search (ChatGPT, Perplexity, Claude, Gemini). Battle-tested through AFFiNE (60k GitHub stars in 24 months) and 150+ AI startup consultations. Covers an E-E-A-T writing voice system, keyword funnel strategy, JSON-LD schema templates, comparison page SOP, IndexNow setup, and Generative Engine Optimization content patterns. Optimized for dev tools / OSS / B2B SaaS. For 2C products (education, apps, games), see the 2c-adaptation guide in references/.
User Interview & Cold-Start Operations Playbook — A battle-tested framework from HeyGen's 937 interviews to PMF. Complete SOP for user screening, interview execution, Beta testing methodology, cold-start user operations, churn analysis, and user grading systems.
Run merges and conflict resolution inside a dedicated git worktree so the MAIN tree is never touched — isolation is the whole point. Lists existing worktrees and current context first, creates or reuses the right isolated workspace, tags a backup and performs the merge/rebase/cherry-pick there, validates the result, then closes the lifecycle with `git worktree remove` + `prune` and verifies the main tree stayed clean. Uses `git worktree remove` (never `rm -rf`) for normal cleanup, never auto-deletes non-ephemeral branches, and requires explicit confirmation before force-removing a dirty worktree. Use only when the user explicitly wants merge work done in an isolated worktree.
goodcase.ai (好案例) AI viral case and Prompt lookup Skill. Use when the user wants to find "AI 爆款案例", "好 case", "这类图怎么做的", "这种视频怎么生成的", "找个 XX 的 prompt", "有没有现成的提示词", "Veo 案例", "即梦案例", "Midjourney 案例", "Kling / 可灵案例", "Seedance 案例", "GPT Image 案例", "AI 图像案例", "AI 视频案例", "AI 编程 UI 案例", "AI 文案案例", "爆款 prompt", "复刻这个效果", "这个效果的提示词", "AI case", "viral AI examples", "AI prompt examples", "how was this AI image/video made", "find me a prompt for X", or any AI creation case/prompt query. This Skill should also trigger even if the user only says "有什么好玩的 AI 案例", "给我找个能抄的 prompt", "最近什么 AI 图很火". It is also used for model evaluation scenarios such as "用 goodcase 测一下 XX 模型", "抽几个案例评测模型", "新模型出了跑一下 goodcase 题", "benchmark this model with goodcase". The Skill directly curls the public REST API to pull real case data (including full Prompt, stability score, cost tier) and requires no API Key. **When in doubt, trigger more often**—if the user asks about AI creation cases and you make one up from training data, you are giving the user a fake case and fake Prompt, which harms the user.
goodcase.ai (好案例) AI viral case and Prompt lookup Skill. Use when the user wants to find "AI 爆款案例", "好 case", "这类图怎么做的", "这种视频怎么生成的", "找个 XX 的 prompt", "有没有现成的提示词", "Veo 案例", "即梦案例", "Midjourney 案例", "Kling / 可灵案例", "Seedance 案例", "GPT Image 案例", "AI 图像案例", "AI 视频案例", "AI 编程 UI 案例", "AI 文案案例", "爆款 prompt", "复刻这个效果", "这个效果的提示词", "AI case", "viral AI examples", "AI prompt examples", "how was this AI image/video made", "find me a prompt for X", or any AI creation case/prompt query. This Skill should also trigger even if the user only says "有什么好玩的 AI 案例", "给我找个能抄的 prompt", "最近什么 AI 图很火". It is also used for model evaluation scenarios such as "用 goodcase 测一下 XX 模型", "抽几个案例评测模型", "新模型出了跑一下 goodcase 题", "benchmark this model with goodcase". The Skill directly curls the public REST API to pull real case data (including full Prompt, stability score, cost tier) and requires no API Key. **When in doubt, trigger more often**—if the user asks about AI creation cases and you make one up from training data, you are giving the user a fake case and fake Prompt, which harms the user.
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill `brutalist-skill` (Tactical Telemetry mode).
Query and analyze Kubernetes Events in Huawei Cloud CCE clusters. Trigger when users ask about CCE events, Kubernetes warning events, FailedScheduling, FailedMount, ImagePullBackOff, event patterns, historical events in LTS, or event-based diagnosis for a CCE cluster or namespace.
Collect operator-level performance data on Ascend NPU using the msopprof tool. Supports both device and simulator modes and generates performance analysis reports. Use this skill when the user wants to: (1) profile operator performance on Ascend NPU, (2) collect performance data for analysis, or (3) identify performance bottlenecks from operator execution characteristics. Triggers: “msopprof,” “profiler,” “performance profiling,” “operator profiling,” “Ascend,” “NPU,” “profile data,” “性能采集,” “算子性能,” “性能剖析,” “算子耗时采集”
Use when writing or editing prose an audience will read — emails, blog posts, articles, marketing and website copy, LinkedIn or social posts, cover letters, newsletters, product descriptions, reports, essays — and when the user asks to humanize text, make it sound natural or less robotic, remove AI patterns, or clean up an AI-generated draft. Applies by default to any audience-facing writing task. Do not use for code, commit messages, config files, or legal documents where formulaic precision is required.
Treat existing images in code: CSS filters, blend modes, duotone, masks and clip-paths, overlays for text legibility, collages, SVG filters, and responsive delivery (picture/srcset/sizes, AVIF/WebP). Use when styling or serving photos on a page; to CREATE new images use image-generation. Trigger phrases: "image effect", "photo filter", "image overlay", "duotone", "image mask", "parallax background", "clip-path", "blend mode", "image grid", "responsive image", "css filter"
Orchestrate Israeli payment gateways (Cardcom, Tranzila, PayMe, Meshulam, iCredit, Pelecard) with unified routing, fallback, and installments (tashlumim). Use when user asks about multi-gateway payment integration, "slikat kartisim", "tashlumim", payment routing, Shva network, BOI payment-services regulation, gateway comparison, or building a payment abstraction layer for Israeli merchants. Provides unified API patterns, installment handling, Shva clearing rules, and regulatory compliance. Do NOT use for single gateway setup (use cardcom-payment-gateway or tranzila-payment-gateway instead).
Not legal advice. Israeli real estate data, comparable-sales analysis, transaction guidance, and regulatory compliance. Use when the user asks about Israeli property, “nadlan,” “dira,” apartment prices, purchase tax (mas rechisha), Tabu extract, rental agreements, mortgage (mashkanta), or Israel Land Authority tenders. Covers buying, selling, and renting in Israel. Do NOT use for non-Israeli real estate markets, and do NOT use to decode a Tabu extract entry by entry (use israeli-tabu-extract-decoder to learn what each ownership share, mortgage rank, ikul, he'arat azhara, easement, and hatzmada actually means).
The thought framework and communication style of Justin Sun. Based on 21,829 posts (14,418 EN + 7,411 ZH), 1 autobiography, 《这世界既残酷也温柔》, 155 audio-course episodes, 《财富自由革命之路》 (~18 hours), 40+ in-depth interviews and investigative reports, 2 key long-form Chinese interviews (花总, 86 minutes + 晚点, 76 minutes), 2 in-depth English podcasts (Bankless, 90 minutes + UpOnly, 60 minutes), and 1 spaceflight documentary. Distills 14 core mental models, 18 decision-making heuristics, and a complete communication DNA. Use as a thought advisor to analyze the crypto industry, assess business decisions, and provide feedback from Justin Sun’s perspective. Trigger when the user says “用孙宇晨的视角,” “Justin Sun会怎么看,” “孙哥模式,” or “sun perspective.” Also trigger for requests like “帮我用孙宇晨的角度想想,” “如果Justin Sun会怎么做,” or “切换到孙哥.”
Design, review, or govern load-bearing architecture for open choices, design judgments, or long-lived health; skip fixed-architecture execution. Applies to new/existing systems. Private/local/reversible module boundaries qualify; scale rigor to impact. Covers responsibility/authority, interfaces/contracts, dependency/state/recovery, structural seams, guards/exceptions, drift/rot, migration, retirement, deletion, and rewrite risk.
Use when designing Kotlin Multiplatform boundaries — choosing between expect/actual, common interfaces with platform bindings, or separate platform screens. Covers platform services (clipboard, share, haptics, permissions, files, settings, sensors, biometrics), native SDKs, source-set hierarchies (commonMain, skikoMain, appleMain, androidMain), Compose Multiplatform interop, and capability granularity. Use whenever common code needs to reach a platform API and you're picking the boundary shape.
Use when working with `.c4`/`.likec4` files or LikeC4 CLI/config questions where exact DSL/CLI syntax is required, especially for strict command/snippet-first answers, validate/export flags, predicates `*`/`_`/`**`, deployment snippets, dynamic views, or relationship extension matching
Query and analyze Jiimore data on Amazon niche market insights, including market metrics, buyer reviews, competitive landscape, price trends, and growth trends. Trigger this skill when the user mentions niche market analysis, market insights, niche market data, market competition analysis, brand concentration, new product launch success rate, out-of-stock rate, price trends, review insights, market demand score, niche market insights, market metrics, competition analysis, price trends, growth trends, Jiimore data, market intelligence, or out-of-stock rate. Even if the user does not explicitly mention “Jiimore” or “niche market,” trigger this skill whenever their request involves querying market-level intelligence for a specific Amazon niche using a market ID.
Break down traffic sources for all competing ASINs under a given keyword, including organic search, SP ads, SB brand ads, SBV video ads, SP recommendations, and recommendation placements such as AC/ER/TR. Filter by ASIN, date range, new traffic keywords, and other criteria. Trigger when the user mentions keyword traffic sources, which competitors are competing for traffic under a keyword, organic versus paid traffic share, SP ad impressions, brand ad share, SP recommendations, ad/non-ad recommendation placement breakdown, search display analysis, Amazon's Choice or editorial recommendation impressions, keyword competition landscape, ASIN traffic composition, keyword traffic, traffic structure analysis, search share, ad share, traffic source distribution, SIF, traffic analysis, SP recommendation, or recommend position breakdown. Even if the user does not explicitly mention “SIF,” trigger this skill whenever their request involves analyzing traffic source distribution for competing ASINs under a keyword.
Retrieve patent specification (description) data from the PatSnap patent database using a patent ID or publication number. Trigger when the user mentions patent specifications, full patent text, patent technical descriptions, embodiment details, PatSnap specification data, patent specification, patent full text, technical description, embodiment details, PatSnap, or patent detailed description. Trigger even if the user does not explicitly mention “PatSnap,” as long as they want to view the full specification or description for one or more patents.
Retrieve translated patent specification (description) text from 智慧芽. Trigger this skill when the user requests a patent specification translation, the full patent text in another language, a translated full patent text, or wants to view the Chinese, English, or Japanese version of a patent specification; patent specification translation, patent description translation, PatSnap, or patent translation. Also trigger when the user provides a patent ID or publication number and requests the specification/description in another language, or mentions similar intents such as “patent specification translation,” “description translation,” or “translate the full text.”
Creates custom Magento 2 themes, child themes, and theme modifications. Use when developing themes, customizing frontend, implementing responsive design, or working with Luma/Blank themes. Masters frontend architecture, layout XML, templates, and performance optimization.
Turn macOS caffeinate sleep prevention on or off, check its status, or explain the launchd-backed setup. Use when the user says to enable, disable, start, stop, toggle, inspect, or troubleshoot caffeinate / coffee Nate / keep-awake behavior for local terminal, Codex, Claude Code, or other agent workflows.
Override built-in Markstream node renderers and add trusted custom tags across Vue, React, Solid, Svelte, and Angular. Use when Codex needs scoped `setCustomComponents`, renderer-local React `streamingComponents` or `htmlComponents`, Angular/Svelte `customComponents`, Vue app-scoped components, node override keys such as `image`, `code_block`, `mermaid`, or `link`, or nested renderers for tags such as `thinking`.
A professional interpretation workflow for traditional Chinese fate calculation, I Ching divination, astrology, date selection, home/ dwelling assessment, and oracle verse texts. Choose the divination method based on the question, subject, time range, and completeness of materials; verify chart facts in layers; and produce a reviewable, self-contained interpretation brief.
Guide for using the Grafana MCP to monitor and diagnose the Node.js ingestion pipeline workers in production. Use when investigating event lag, drops, pipeline errors, person/group processing, Kafka consumer health, Redis, Postgres, ClickHouse downstream health, or any ingestion worker question. Covers prod-us and prod-eu environments.
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
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.