Skills
98,067 packaged capabilities and playbooks for agents. Install any of them with one command.
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Configure an AI agent to send OpenTelemetry traces to Coval. Use when a user wants to add Coval tracing, instrument an agent for simulations or conversation monitoring, make traces show up in Coval, handle SIP/PSTN/WebSocket trace correlation, or replace the one-command wizard with a security-reviewable manual setup.
Ship workflow: detect + merge base branch, run tests, review diff, bump VERSION, update CHANGELOG, commit, push, create PR. Use when asked to "ship", "deploy", "push to main", "create a PR", or "merge and push". Proactively suggest when the user says code is ready or asks about deploying.
Ship workflow: merge base branch, run tests, review diff, bump VERSION, update CHANGELOG, commit, push, create PR. Use when asked to "ship", "deploy", "push to main", "create a PR", "merge and push", or "get it deployed". Proactively invoke this skill when the user says code is ready, asks about deploying, wants to push code up, or asks to create a PR.
Use when the user wants to manage discount activities on a shoplazza store through the CLI — promotional campaigns, coupon codes, flash sales, buy-X-get-Y offers, rebates / tiered satisfy-N-get-M discounts, free-shipping codes, M-for-N (Nth-item-off) discounts, discount stacking / combination rules, or coupon (voucher) campaigns. Triggers include 满减 / 折扣码 / 优惠码 / 闪购 / 满X减Y. NOT gift cards (redeemable store credit → shoplazza-products `gift-cards`). NOT showing a sale inside a theme card / 首页促销卡片 (→ shoplazza-themes).
Store-level config and content for a Shoplazza store — use for: shop info/settings (店铺信息 / 店铺设置 / 主域名 / 币种 / 客服邮箱 / customer email); sales and traffic analytics (销量 / 销售额 / 流量 / 流量渠道 / 搜索词 / 报表 / 数据分析 / analytics / PV UV / conversion / SKU 排行 / best-selling SKU); media library and file uploads (素材库 / 媒体库 / 上传文件 / upload file — store assets, NOT product images); metafields / 元字段 / 自定义字段 — ALL metafields live HERE, including ones ON products / orders / customers (给商品加字段); blogs and articles (博客 / 文章 / blog post); custom storefront pages (自定义页面 / 关于我们 / About Us / policy page); navigation menus (导航菜单 / 菜单项 / menu items); URL redirects (重定向 / 301 / URL 跳转); markets (市场 / 多市场 / 发布到日本市场); store languages (语言 / 多语言 / 翻译 / 开通日语); real-time rate carrier services (实时运费报价 / 承运商 / carrier service). NOT product catalog / 商品图片 (→ shoplazza-products); NOT 优惠码 (→ shoplazza-discounts); NOT order search / 订单统计 / 物流查询 (→ orders domain); NOT theme editing / 装修 / page templates (→ shoplazza-themes).
Parse a SIF (Standard Interchange Format) input into a readable preview and optionally append canonical product rows to the project's CSV library. Use when asked to convert or inspect SIF dealer data. For the reverse direction use /as:csv-to-sif.
Orchestrate data-driven SillyTavern rolecard live development, iteration, validation, JSON packaging, PNG payload embedding, release auditing, and delivery by adapting to tools already present in the target project. Use when discovering or running a project-provided watch build for Tavern Helper real-time editing; creating or checking a profile, manifest, operation plan, or contract; choosing validation from changed-file impact; detecting a card type and runtime dependency inventory; enforcing required embedded regex/schema/helper assets and regional loader policy; composing version components; packing or re-packing a card; synchronizing card-bound worldbook versions; generating final JSON or PNG artifacts; verifying embedded payload parity; or preparing an explicit checkpoint or public release. Do not use for exploratory card disassembly or shared component-library design; use sillytavern-card-components instead.
Build, scaffold, and ship SillyTavern third-party extensions. Use when creating a new extension, adding extension settings/UI hooks, wiring events or slash commands, integrating modules, or packaging a release from a template.
Reproduce, diagnose, collect execution evidence for, and close acceptance of rolecard behavior inside a real SillyTavern runtime using any capable browser driver. Use when the primary task requires live execution of imports, required regex/helper scripts, host extensions, Git/CDN or regional loaders, MVU/Zod capabilities, opening pages, status bars, control centers, iframes, real-time reload, console, responsive, or interaction checks that static previews cannot prove. Do not use as the primary skill for designing or implementing embedded UI source; hand those changes to sillytavern-embedded-ui, then resume runtime validation on the rebuilt artifact.
Transforms article content or summaries into minimalist hand-drawn style JSON prompts for AI image generation tools. Use this skill whenever the user wants to create any kind of visual from text content — including banners, article illustrations, inline diagrams, infographics, or concept visuals. Trigger on requests like "turn this into a visual", "create an image prompt", "make an illustration for this", "generate a diagram from this article", "I need a sketch for this section", or any request combining content analysis with image/visual prompt generation. Always use this skill when the user provides text content and wants an AI-ready image prompt output.
This skill should be used when the user asks to "organize the project rules", "clean up scattered documentation", "把规则迁移到 skills 目录", "优化 skill 路由", "提高 description 命中率", or "减少薄壳重复维护". Activate when a SKILL.md is too large, rules are duplicated across agent entry files, task routing or trigger_examples miss natural user language, or templates / thin shells / validation scripts need drift-resistant maintenance.
Use when the user needs to create a new Skill or update an existing Skill. This Skill provides complete workflow guidance for skill creation, including requirements analysis, writing standards, engineering-based construction, quality assessment, and iterative optimization.
Write a well-formed agent SKILL.md from a workflow, SOP, or repeated procedure. Use when the user wants to "create a skill", "turn this process into a skill", "document this workflow as a skill", or asks why a skill isn't triggering.
Diagnose and improve an existing Claude/agent skill without changing its core purpose or original input/output contract. Use whenever the user wants to optimize, refine, clean up, debug, restructure, or improve an existing skill and needs contract-first review, hypothesis-driven proposals, representative test prompts, or conservative before/after validation instead of a blind rewrite.
Use when writing, condensing, or refactoring a BK-CI skill — for example tightening the `description`, unifying the main file skeleton, offloading heavy content into `reference/`, and settling progressive disclosure rules. Prefer this when the user wants to add or standardize a skill.
Manage skills, agents, extras, hooks, plugins, and MCP connection settings with the Skillshare CLI. Use when the user asks to configure or run Skillshare, install or sync resources across AI tools, manage shared memory notes, review a session for lessons or dream over saved memories, import MCP settings, manage targets, audit skills, recover backups, or troubleshoot Skillshare configuration and sync. Covers global and project modes, noninteractive automation, and guidance for the terminal UI.
Runs a smell-first audit on a user-chosen path set: measures structure metrics, applies a named size profile, and reports code smells and test smells with evidence strength. Use for smell audit, code smell scan, whole-repo audit, tech debt scan, test smell check, maintainability audit, or duplication and nesting checks. Do not use for PR review, merge advice, implementing fixes, writing new features, or lint/format-only passes.
Generate eight scored hook options for any social post draft or topic, spanning proven patterns from curiosity gaps and bold claims to contrarian takes and story cold-opens. Use when someone says "give me hooks", "better opening", "improve my hook", or "8 hooks for this". Covers hook norms for LinkedIn, X (Twitter), and Instagram, where the first line decides whether anyone reads the rest. Each option is scored 1-10 on scroll-stopping power and 1-10 on audience fit, with a one-line rationale, and the top two are recommended. Reads social-context.md for brand voice and audience setup so the fit scores reflect who the post is actually for.
Audit an existing social media presence across all active platforms. Use when asked to review social media performance, analyse a brand's social presence, benchmark against competitors, or identify what's working and what isn't. Produces a scored audit with platform-by-platform analysis, content performance review, competitive benchmarking, and a prioritised action plan.
Orquestrador unificado de canais sociais — coordena Instagram, Telegram e WhatsApp em um unico fluxo de trabalho. Publicacao cross-channel, metricas unificadas, reutilizacao de conteudo por formato, agendamento sincronizado e gestao centralizada de campanhas em todos os canais simultaneamente.
Foundry development workflow for Solidity smart contracts. Use when building, testing, or deploying with Foundry (forge, cast, anvil). Covers project setup, foundry.toml configuration, testing patterns, fuzz testing, invariant testing, fork testing, cheatcodes, deployment scripts, and debugging. Triggers on tasks involving forge build, forge test, forge script, cast, anvil, or Foundry-based Solidity development.
Spoken-word video script writing with two highlights — (1) removing the AI flavor, turning written/AI-style wording into real spoken language that can be read aloud; (2) forcing a vague idea into a shot-by-shot storyboard script accurate to the second (what each shot says, how it is presented, how long it pauses, how it cuts). Triggered when the user says "write a spoken-word script", "this part is too AI, make it human", "spoken-word draft", "storyboard script", "accurate to the second", "script", "make it readable aloud". The input can be topic body text, a draft, or a vague description.
Front end for video topic selection and copywriting. Does four things — (1) download reference videos from Douyin/YouTube/Bilibili and remove watermarks, (2) extract verbatim transcripts, (3) generate video topics and hooks, (4) write titles and spoken-word body/copy. Triggered when the user says "help me think of video topics", "break down this hit video", "download this video", "extract the copy/transcript", "come up with a video title", "write the spoken-word body", "video topic". It is the entry point of the entire video pipeline.
Use when writing SpacetimeDB Unreal Engine clients, generated Unreal bindings, Unreal plugin setup, `DbConnection`, ticking the connection, cache access, subscriptions, reducer invocation, or identity handling. Triggers on: Unreal, Unreal Engine, UE, Unreal SDK, URemoteTable, USubscriptionBuilder.
Specification-driven implementation orchestrator — Coordinate spec-code, spec-review, and spec-test to implement from specs to PR. Reads issue-to-pr-workflow.md as playbook, delegates implementation to spec-code, review to spec-review, testing to spec-test. Manages fix loops, task progression, and PR creation. Does NOT write implementation code or perform reviews itself. English triggers: "Implement from spec", "Start implementation", "Execute spec tasks" 日本語トリガー: 「仕様書から実装」「実装を開始」「specタスクを実行」
Continue an approved Spec-backed workflow when the user says "implement", "go", "start", or "do it". After Codex Plan Mode, persist the next missing design.md or plan.json artifact and stop. When both artifacts exist, execute plan.json with TDD and report between batches.
Use when you need to execute I2 (implementation execution) in the sdlc-dev Spec Pack: implement in batches with `{FEATURE_DIR}/implementation/plan.md` as the single SSOT, run minimal verification, write back audit information, and report at batch checkpoints; stop immediately on blockers or open questions.
When the user wants to solve Split Delivery VRP (SDVRP), allow customers to be visited multiple times, or optimize routes where demand exceeds vehicle capacity. Also use when the user mentions "SDVRP," "split deliveries," "multiple visits," "partial deliveries," "demand splitting," or "fractional service." For standard VRP, see vehicle-routing-problem.
A complete reference for advanced sqlmap usage. Use when SQL injection is confirmed and you need to exploit it automatically with sqlmap. Covers POST/Cookie/Header injection, tamper script selection, precise control with --technique, second-order injection, OS shell/file read and write, and database extraction optimization
Receive and verify Square webhooks. Use when setting up Square webhook handlers, debugging Square signature verification, or handling payment and commerce events like payment.created, payment.updated, refund.created, invoice.payment_made, or order.updated.
Decide whether planned vertical implementation work should ship as independent pull requests or as a stack of small ordered pull requests, then plan, build, review, update, and merge the stack safely. Use when one slice is too large for effective review, when later slices should proceed on the same evolving baseline before earlier pull requests merge, when AI-generated code volume needs deliberate review boundaries, when a plan already defines dependent pull request boundaries or non-trunk bases, or when the user mentions stacked PRs, PR stacks, dependent PRs, gh-stack, bottom-up review, or splitting an implementation across branches. Do not use this skill to split epics or invent horizontal backlog stories; use story-splitting first.
Manages dependent branch stacks and stacked pull requests using safe Git topology rules. Triggers on: “create stacked PRs”, “publish this stack”, “sync my PR stack”, “rebase this stack”, “merge the stack”, “retarget child PRs”, “split this branch into stacked PRs”, “validate this stack”, “cleanup stacked branches”, or “GitHub native stack”. Use when local branches or one source branch need a dependency-ordered PR stack with correct parent bases, validation, synchronization, and optional GitHub-native stack support, or when an existing stack needs its topology, provenance, and native membership resolved before its landing and cleanup are delegated to the ship-workflow lifecycle.
Master entry point for all Stitch design workflows. Routes from user request → design spec → prompt assembly → screen generation → iteration (edit, variants, design systems) → design system extraction → framework conversion (Next.js, Svelte, HTML, React Native, or SwiftUI) → optional quality pass.
Provides comprehensive technical analysis for stocks and ETFs using RSI, MACD, Bollinger Bands, and other indicators. Activates when user requests stock analysis, technical indicators, trading signals, or market data for specific ticker symbols.
Wrap JSON-backed database columns with ActiveModel-like classes using store_model. Use when creating configuration objects, managing nested JSON attributes, or adding validations to JSON data. Triggers on JSON columns, store_model, typed JSON, configuration objects, or nested attributes.
Main entry point for the web novel toolkit. Automatically routes to the scanning, deconstruction, writing, AI-flavor removal, cover, import and review skills based on user needs, and can launch a local Dashboard to browse the deconstruction library and writing projects. Triggers: /story, $story, /story dashboard, $story dashboard, /网文, 「我想写小说」「帮我写书」「写网文」「英文小说」「中文改英文」「native 化」「海外发行」「打开工作台」「检查更新」。
Novel cover generation. Automatically analyzes the genre and style from the book title and author name, and calls GPT-Image-2 to directly generate a professional-grade web novel cover containing the title and author credit. Triggers: /story-cover, /封面, 「帮我做个封面」「生成封面图」「做个小说封面」「封面设计」。
Web novel AI-flavor removal. Detects and removes traces of AI writing from the text while protecting plot facts, foreshadowing, character voice and the author's own hand. Triggers: /story-deslop, /去AI味, 「去AI味」「这篇太AI了」「网文去AI味」「保留我的声线」「只检查改过的句子」.
Import an existing novel in reverse. Parses a written novel, whether unfinished or complete, into a standard project directory structure, compatible with the subsequent story-long-write / story-short-write workflows. Reuses the story-long-analyze / story-short-analyze analysis pipelines internally and automatically routes by length. Triggers: /story-import, “导入小说”, “反向解析”, “导入”, “把我的书导进来”.
Long-form web novel deconstruction. In-depth deconstruction of a hit long novel's golden three chapters, character setup architecture, payoff design and pacing control. Single deep-deconstruction pipeline: after running the golden three chapters (Stage 1), it produces a quick preview report and asks whether to continue the full deconstruction; once confirmed, it resumes from Stage 2 with chapter-by-chapter summaries, aggregate analysis, setting relationships and a summary report, writing all artifacts to 拆文库/{书名}/. Triggers: /story-long-analyze, /长篇拆文, 「帮我拆这本书」「拆这本书」「分析黄金三章」「深度拆解」「完整拆解」「系统拆解」, or providing a novel text file path — all enter the same pipeline.
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.