Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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ASO performance for an app or collection — current tracked-keyword positions and category rank, keyword opportunities with competitor context, an interactive add-keyword loop (the only write path), and honest metadata suggestions. Emits a structured findings.json plus a self-contained HTML report. Trigger on "ASO report", "keyword rankings", "keyword opportunities", "how do we rank for <keyword>", "suggest keywords to add".
Build and refactor Pest feature tests for AureusERP plugin APIs with reusable helpers, policy-permission auth setup, factory-first payloads, stable JSON assertions, and plugin-install bootstrap strategy. Use when creating or updating API tests under `plugins/*/*/tests`. This skill is structured to support a future Filament test-case track without changing current API behavior.
Aurora Smart Home orchestrator — routing layer for all smart home skills. Use this skill when the user asks ANY smart home question and you need to decide which skill to invoke, or when a task spans multiple skills (e.g., "build a sensor that shows on a dashboard and triggers automations"). Invoke aurora FIRST before reaching for a specific skill — it will route to the right specialist(s) and recommend the correct Claude model to keep token usage efficient. Trigger on: smart home, Home Assistant, ESPHome, automation, IoT, dashboard, ESP32, Node-RED, or any request about controlling or monitoring devices at home.
Author error tracking alerts that fire when an issue is created, reopened, or starts spiking. Use when the user asks to set up error notifications, route exceptions to Slack/webhook/Linear, or evaluate which error events are worth alerting on. Covers trigger-event selection, integration choice, dedup against existing alerts, and shipping with the canonical message body shape.
Install skills from the AVIZ Skills Library. Use when user wants to install a skill, browse available skills, set up Claude Code skills, or asks about skill installation. Triggers on "install skill", "add skill", "setup skill", "available skills", "skill library", "browse skills".
Builds configuration-driven CRUD tables with the Avue framework, including column definition, pagination, search, sorting, row operations (add/edit/delete), data export, and form validation. Use when the user needs to create data management interfaces with Avue CRUD tables in Vue 2 applications.
Reports a bug or files feedback about the azuresql-db-* agent skills themselves, or about the Azure SQL Database container (Private Preview). Use when the user says a skill or the container "did not work", hit an error, behaved unexpectedly, or is missing something; and when they say "report a bug", "file an issue", "open a GitHub issue", "request a feature", "give feedback", or "tell the team". Also use when you, the agent, had to deviate from an azuresql-db-* skill or work around a defect in one to finish a task: that is a bug worth reporting even if the task succeeded. Decides whether the problem belongs to the SKILL or to the CONTAINER, since they use different issue templates, then builds a complete prefilled GitHub issue from context you already have. Never submits anything without explicit confirmation from the user.
Generate B2C Commerce cartridges, controllers, hooks, custom APIs, job steps, and Page Designer components from scaffold templates. Use this skill whenever the user needs to create a new cartridge, add a controller or hook to an existing cartridge, bootstrap a custom API endpoint, or generate boilerplate for job steps or Page Designer components — even if they just say "create a new cartridge" or "I need a controller for loyalty".
Beamer LaTeX slide workflow: create, compile, review, and polish academic presentations. Use this skill whenever the user works on Beamer .tex slide decks, or asks to create slides, make a presentation, prepare a lecture, build a talk, or generate Beamer slides from a paper PDF or Markdown. Covers: creation, editing, compilation, proofreading, visual audit, pedagogical review, TikZ diagrams, figure extraction, and comprehensive quality checks. Trigger on: beamer, slides, lecture, presentation, seminar talk, conference talk, defense slides, tikz, compile latex, proofread slides, slide review, 讨论班, 论文讲解. Do NOT trigger on: powerpoint, pptx, PPT, 做PPT — use the powerpoint-slides skill instead.
Given a concept, mine its neighbouring concepts from abstract texts retrieved from real search results, and draw a knowledge map centred on that concept — every node anchored to real literature, with no nodes added from memory. Also output a Mermaid concept diagram (renderable in Claude Code / GitHub / Obsidian) and a standalone screenshot-able HTML map, plus 3–6 recommended introductory papers. **Trigger this skill proactively in the following cases**: the user says "draw me a knowledge map of this concept", "what related concepts surround this term", "map out the concept network in this direction", "give me a concept diagram", "what are the core concepts in this field", "knowledge map", "concept map", "map out this concept", "draw a knowledge map of X", "what concepts surround X", "show me the concept network around this term", "concept map for X" — even if the user does not say "bear-map", use this skill whenever the intent is **to understand the knowledge landscape around a single concept**. Not applicable to: finding supporting literature for a claim (use bear-support), finding opposing literature (use bear-counter), checking topic novelty (use bear-scoop), or tracing the history of evolution (use bear-trace).
Given a concept or field, draw both its conceptual landscape (space: what this field looks like today) and its line of evolution (time: how this field got to where it is), helping you quickly build a three-dimensional understanding of an unfamiliar field in a single comprehensive report. Built on real search (scimaster-cli), never fabricating citations. **Trigger this skill proactively in the following cases**: the user wants to "quickly get started in a field", "get a handle on this direction", "the core concepts and developmental history of this field", "help me build a cognitive framework for this direction" — even if the user does not say "bear-onboard", use this skill whenever the intent is **to understand both the conceptual landscape and the line of evolution of an unfamiliar field**. Not applicable to: drawing only a concept map (use bear-map), tracing only the origins (use bear-trace), finding literature for a claim (use bear-support / bear-counter), or checking topic novelty (use bear-scoop).
Given a topic or a seed paper, dig forward into which predecessor works it builds on (tracing back layer by layer), then add the latest progress going forward, explaining clearly how this problem evolved from its origins to the present. Built on real search (scimaster-cli), with every node anchored to a paper actually retrieved. **Trigger this skill proactively in the following cases**: the user asks "where did this problem come from", "help me trace this direction", "how did this field develop", "whose work is this paper built on", "tell me the history of this direction from the start", "I am new to a field and want to understand its line of evolution first" — even if the user does not say "bear-trace", use this skill whenever the intent is **to understand the ins and outs of a research problem or field**. Add `-d N` to control the number of layers traced back (default 3 layers). Not applicable to: finding supporting literature for a claim (use bear-support), finding opposing literature (use bear-counter), checking topic novelty (use bear-scoop), or concept maps (use bear-map).
Use when the user asks for BingX perpetual futures technical analysis, indicator values, candlestick pattern recognition, multi-timeframe scoring, support/resistance levels, divergence detection, or trend analysis. Depends on bingx-swap-market for K-line data and computes 78 indicators plus 62 candlestick patterns locally via pandas-ta-classic.
Complete Birdeye API integration for real-time DeFi data across Solana and 15 other chains. Use for token prices, OHLCV charts, market discovery, on-chain trader intelligence, holder analysis, wallet portfolio & P&L, and WebSocket streams for live prices and whale alerts.
Hub MỘT TÊN cho dây chuyền sản xuất kiểu Ralph (GH#15): biến tài liệu thô của user thành sản phẩm qua 5 mode — `/br interview` (đọc folder raw/ → đối chiếu bộ specs chuẩn S1–S10 → sinh bộ câu hỏi hỏi-bù dạng HTML xem trước + MD điền, cho phép lens chuyên gia điền thay mục chưa chắc), `/br compile` (answers → BR.md có clause_id + bảng "Giả định đang gánh"), `/br slice` (BR → frames nhỏ gắn chặt code, gác bằng frame-lint), `/br run <frame>` (mỗi frame chạy loop-runner có 6 phanh + dry-run + người gác · sau frame xanh TỰ chạy QC tất định 0-token), `/br qc` (audit senior 4-mục: /qc-code soi code + /qc-uiux soi UI/UX qua engine visual-qa), `/br status` (trang line-status.html tất định: frame nào chạy/kẹt/xong + truy ngược lỗi→frame→clause). Gọi khi user nói "br", "interview", "phỏng vấn yêu cầu", "soạn BR", "slice frame", "chạy frame", "qc frame", "audit ui mockup", "trạng thái dây chuyền", "ralph pipeline", hoặc invoke /br. User chỉ mô tả PHẠM VI, không cần nhớ lệnh con.
This skill should be used when the user asks to "test for broken authentication vulnerabilities", "assess session management security", "perform credential stuffing tests", "evaluate password policies", "test for session fixation", or "identify authentication bypass flaws". It provides comprehensive techniques for identifying authentication and session management weaknesses in web applications.
Three.js 3D building system with spatial indexing, structural physics, and multiplayer networking. Use when creating survival games, sandbox builders, or any game with player-constructed structures. Covers performance optimization (spatial hash grids, octrees, chunk loading), structural validation (arcade/heuristic/realistic physics modes), and multiplayer sync (delta compression, client prediction, conflict resolution).
Generate a Figma component set from a component contract. Use when the user wants to build or update a Figma component from a contract definition — e.g. 'build the Button Figma component', 'generate Figma component from contract', 'sync the Accordion to Figma', 'create component variants in Figma'. PREREQUISITE: the cc-figma-tokens skill must have been run first — Primitive and Semantic variable collections must exist in the target Figma file. Requires the figma-use and figma-generate-library skills.
AI video editor that works entirely through chat — type what you want changed and the AI handles the rest. Trim clips, merge footage, add background music, apply color grading, insert text overlays, and export finished MP4 files without touching a timeline or learning keyboard shortcuts. A chat-based video editor designed for people who know what their video should look like but don't want to learn Premiere or DaVinci. Works with mp4, mov, avi, webm, mkv. Upload a file or paste a URL to start editing immediately.
Forensic financial analysis for A-share companies. Identifies discrepancies, potential irregularities, and earnings quality issues in Chinese financial statements. Adapted from the original break-trace skill for CAS accounting and Chinese market red flags. Triggers on "A股财务核查", "财务异常", "forensic analysis China", "财务舞弊", "earnings quality China", or "investigate [company] financials".
Build a list of potential strategic and financial acquirers for A-share sell-side M&A mandates. Adapted from the original buyer-list skill for Chinese market acquirer universe. Triggers on "A股买方名单", "潜在收购方", "buyer list China", "strategic buyers China", "who would buy this A-share company", or "build buyer universe".
Build professional data packs for A-share investment banking deals — M&A due diligence, IC materials, company profiles. Adapted from the original datapack-builder skill for Chinese data sources (AkShare, 巨潮, exchange filings) and CAS accounting. Triggers on "A股数据包", "投行数据包", "datapack China", "due diligence pack A-share", or "IC data pack [company]".
Discover and evaluate potential A-share investment opportunities for China-focused private equity and investment strategies. Adapted from the original deal-sourcing skill for Chinese market structure, data sources, and business practices. Triggers on "A股项目挖掘", "投资项目发现", "deal sourcing China", "find A-share deals", "sourcing opportunities China", or "discover investment targets".
Investment Committee memo drafting for China-focused PE/IB deals. Adapted from the original ic-memo skill for Chinese market context, terminology, and decision frameworks. Triggers on "A股投委会", "IC Memo", "investment memo China", "投委会材料", "IC memo A-share", or "committee memo [company]".
Draft investment proposals for Chinese wealth management clients. Creates structured proposals with investment rationale, product recommendations, and risk disclosures. Adapted from the original investment-proposal skill for A-share products and Chinese regulatory requirements. Triggers on "A股投资建议书", "投资方案", "investment proposal China", "proposal for [client]", "investment recommendation A-share", or "build investment proposal".
Analyze incidents from the perspective of Chinese law, using statutory interpretation, reference to guiding cases, and analysis of the basis of claims to understand rights and obligations, assess liability risk, identify legal grounds, and recommend compliance strategies. **Hybrid architecture v3.3**: a three-stage automated workflow (preliminary analysis → legal verification → reflection and correction) + static core + dynamic index of judicial interpretations + intelligent retrieval augmentation + precise identification of 45 case types + six-part element checklist.
Update A-share financial models with new quarterly data, management guidance, or macro changes. Reflects actuals, rolls estimates forward, flags material changes, and updates valuation. Adapted from the original model-update skill for Chinese market conventions and AkShare data. Triggers on "A股模型更新", "模型更新", "plug earnings into model", "update model for [company]", "刷新预测", or "更新财务模型".
Populate A-share investment banking pitch deck templates with data from source files. Adapted from the original pitch-deck skill for Chinese companies, A-share market data, and Chinese business context. Triggers on "A股Pitch Deck", "路演PPT", "pitch deck China", "pitch deck A-share", or "fill pitch template for [company]".
Analyze a repository to generate recommended Claude Code settings.json permissions. Use when setting up a new project, auditing existing settings, or determining which read-only bash commands to allow. Detects tech stack, build tools, and monorepo structure.
This skill should be used when the user asks to "create a team", "spawn agents", "assign tasks", "coordinate multiple agents", "check team status", "view kanban board", "send messages between agents", "manage team tasks", "monitor team progress", or mentions "clawteam", legacy "oh", "multi-agent coordination", "team collaboration", "agent inbox", "task board", "spawn worker". This skill should also be triggered when the current task is complex enough to benefit from splitting into subtasks and delegating to multiple agents — for example when the user asks to "build a full-stack app", "refactor the entire codebase", "implement multiple features in parallel", or when the agent determines that the work scope exceeds what a single agent can efficiently handle alone. Provides comprehensive guidance for using the ClawTeam CLI to orchestrate multi-agent teams with task management, messaging, monitoring, runtime profiles, git context, and recovery tooling.
Use when adding or updating Go CLI E2E coverage for one `tests/cli_e2e/{domain}` domain of the compiled `lark-cli`, especially when the work requires live `--help` or `schema` exploration, scenario-based `clie2e.RunCmd` workflows, and per-domain `coverage.md` maintenance.
This skill should be used when creating a skill for a CLI tool. Use when users ask to document a command-line tool, create CLI guidance, or build a skill for terminal commands. Essential for systematically introspecting CLI tools through help text, man pages, GitHub repos, and online research, then organizing findings into effective skill documentation.
Query ClinicalTrials.gov API v2 for trial data. Search by condition, drug/intervention, location, sponsor, or phase; fetch details by NCT ID; filter by status; paginate; export CSV. For clinical research, patient matching, and trial portfolio analysis.
Provides comprehensive guidance for Alibaba Cloud RDS including database creation, configuration, backups, and RDS management. Use when the user asks about Alibaba Cloud RDS, needs to create RDS databases, configure RDS, or manage Alibaba Cloud database services.
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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.