Agent Workflow Skills

Expert skill for prompt engineering and task routing/orchestration. Covers secure prompt construction, injection prevention, multi-step task orchestration, and LLM output validation for JARVIS AI assistant.

> 🛒 E-commerce & Retail skill suite derived from GetBindu/awesome-claude-code-and-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.

| Helps users discover, search and install agent skills from the marketplace. Use when the user wants to find a skill, discover new capabilities, find specific tools (especially sandboxes) or install a skill. This skill should be used when the user is looking for functionality that might exist as an installable skill. Also supports progressive disclosure to recommend sandbox-related skills when relevant. 用于帮助用户在市场中搜索、发现和安装 Agent 插件（Skills）。 当用户想要查找功能、安装特定工具或寻找沙箱（sandbox）时使用。

舆情监控技能，最终产出舆情报告。当用户问「某事件/话题舆情如何」「舆论怎么样」「做舆情分析」「运行舆情分析」或按关键词/平台爬取并生成舆情报告时，使用本技能。约定：凡舆情相关意图即执行全流程（爬取→情感分析→生成报告）。爬取由本技能完成；情感分析由主 Agent 按提示词自主判断；报告由 generate_report 生成。

查询Moltbook（Agent社区）热门帖子信息。当用户想要查询Agent社区热帖、最新讨论、热门话题时使用此skill。

Capture this session's repeatable process into a reusable skill. Call at end of a process you want to automate.

Orchestrates Codex BMAD workflows. Use for bmad:init, bmad:status, and bmad:next to manage project setup, state tracking, and phase routing.

Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.

Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.

Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls. Use when building, deploying, or hardening agentic AI systems that invoke tools, access data, or interact with production infrastructure.

Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.

Secure Model Context Protocol (MCP) servers with transport encryption, tool authorization, input validation, and audit logging for safe AI agent integrations.

Defend AI systems against prompt injection and indirect prompt attacks using input controls, tool permissions, output validation, and isolation boundaries.

Generate SAP BTP (Business Technology Platform) solution architecture diagrams as native draw.io (.drawio) files following the official SAP BTP Solution Diagram guidelines (Fiori Horizon design system) and open them via a configured draw.io MCP server. USE WHEN: user asks to create/draw/design/sketch a BTP diagram, BTP architecture, BTP landscape, BTP solution diagram, BTP reference architecture, SAP Business Technology Platform diagram, or wants to visualize SAP BTP services (CAP, Build, Integration Suite, SAC, AI Core, HANA Cloud, Cloud Foundry, Kyma, Workzone, etc.) and their interdependencies in draw.io / drawio / diagrams.net. DO NOT USE FOR: non-BTP architecture diagrams, generic flowcharts, sequence/UML diagrams, or diagrams that should remain in Mermaid/PlantUML.

Создание, улучшение и аудит скиллов и агентов OpenClaw. Три режима: создание скилла (11 шагов), создание агента (9 шагов, с памятью и автоулучшением), улучшение существующего (5 шагов). Triggers: 'создай скилл', 'новый скилл', 'создай агента', 'новый агент', 'улучши скилл', 'skill creator', 'agent creator', 'скиллмейкер'.

Аудит пользовательской инсталляции IWE. Запускает scripts/iwe-audit.sh + MCP healthcheck + smoke-test ритуала через sentinel-механику (контракт dry-run-contract.md), передаёт отчёт subagent'у в роли VR.R.002 Аудитор (context isolation) → verdict ✅/⚠️/❌ по 6 компонентам (Inventory, L1 drift, DS-strategy, L3 customizations, MCP, ритуал). Используй после restore из бэкапа, после update.sh, или при еженедельной сверке.

Разговор-распаковка неудовлетворённостей (discovery-стратегирование). Сократический разбор сырой рефлексии и заметок на триаду Проблема/Неудовлетворённость/Эмоция → состояние пилота → приоритеты месяца (WHAT/WHY). Роль R1 Стратег, метод DP.METHOD.053. Триггеры — «разбери неудовлетворённости», «помоги со стратегией месяца», «что для меня сейчас важно», «/discovery-session».

Стратегическая сессия — диспетчер. День-0 (нет Strategy.md/WeekPlan) → initial flow (цели, неудовлетворённости, первый WeekPlan). День-1+ → weekly flow (требует черновик от session-prep). Триггеры — «проведём стратегическую сессию», «первая стратегическая сессия», «strategy session», «давай стратегировать».

| Create a new IWE skill with proper frontmatter, gates, scaffold and verification. The skill enforces WP Gate precondition, Routing Gate, IntegrationGate hard-check, collects parameters in 4 short steps, generates a scaffold SKILL.md from a template, shows a draft, writes files, and reminds about verify-skill.sh.

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".

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".

> 🤖 Data Science & AI/ML skill suite derived from GetBindu/awesome-claude-code-and-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.

> 🛒 E-commerce & Retail skill suite derived from VoltAgent/awesome-agent-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.

Generate a branded HTML impact report showing what GitHub Copilot helped you accomplish — goals delivered, human effort equivalent, skills augmented, collaboration patterns, and estimation evidence grounded in peer-reviewed research. Works with any Copilot CLI or VS Code agent session.

>- Turn a raw product idea into build-ready docs — one doc per EPIC with locked decisions, exact API contracts, a story-by-story priority plan, and an execute.md handoff Claude can build from across sessions. Gets the clarity by interrogating the user through a roster of expert personas that grill, counter, and refuse to flatter. Use to ideate, validate, scope, architect, or plan a product, feature, startup, or app before any code is written. Invoke by persona name or acronym to summon one expert, or with no argument to run the full lifecycle end to end.

Score your Claude Code environment on a fun 0-10 ladder (Tourist → Swarm) calibrated to the quickstart's 4 systems — Context, Skills, Integrations, Orchestration. Two front doors - an interactive quiz (zero setup, shareable) or a silent scan of your repo. Outputs a next-level roadmap plus a branded HTML dashboard or a paste-anywhere ASCII card. The default mastery skill of this quickstart. Triggers - "level", "what's my claude code level", "claude code level quiz", "assess my setup", "how good is my setup", "claude code maturity

最好的找Skill的方式，能够基于你的任务，去寻找最匹配的高质量Skill。以下两种情况下都应使用本技能：① 用户主动要找 Skill，或者需要借助他人经验时——当用户说“找个 xxx 技能”“股票分析别人怎么做的”“找一找有没有现成的技能”等表达寻找意图时；② Agent 自主判断需要外部 Skill 辅助——遇到不熟悉的任务，或对当前任务已经做过一些尝试仍无法解决、缺少合适工具时，可主动调用本技能查询实战经验并检索匹配的 Skill，无需等用户开口。

> 🛒 E-commerce & Retail skill suite derived from borghei/Claude-Skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.

Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing to specialist agents. Ensures agents receive complete context for effective work.

AGENTS.md dosyaları oluşturma, monorepo yapılandırma ve agent instruction yönetimi rehberi.

Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.

Model Context Protocol (MCP) server implementation specialist for Claude Desktop integration. Handles TypeScript/Node.js server scaffolding, endpoint creation, telemetry setup, npx distribution, and comprehensive documentation. Follows MCP specification and best practices for production-grade server deployment.

Çoklu agent mimarisi tasarımı, orchestration patterns ve agent collaboration rehberi.

Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).

Evaluates agent skills against Anthropic's best practices. Use when asked to review, evaluate, assess, or audit a skill for quality. Analyzes SKILL.md structure, naming conventions, description quality, content organization, and identifies anti-patterns. Produces actionable improvement recommendations.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Query and apply The Website Specification — a platform-agnostic specification of what a good website does, with each item tagged required, recommended, optional, or avoid. Use when the user asks what their site should have, whether something is required, how to audit a URL, what's missing for agent readiness, or anything else where you'd otherwise be guessing at web best practice. Backs answers with primary sources (WHATWG, W3C, IETF RFCs, IANA, WCAG). Available as Markdown over HTTP and as an MCP server with search, list, fetch, checklist, and audit tools.

> The project's institutional memory and decision authority. Acts as an autonomous representative of the project — its goals, architecture, conventions, constraints, and intent. Use this skill whenever the active agent or another skill needs clarification about "ask the ambassador", "check with the ambassador", "what does the project want", "what's the project's stance on", or when any skill produces clarifying questions that the user redirects here. Also triggers when the user says "let the ambassador decide", "the ambassador knows", "don't ask me, ask the project", or similar delegation phrases. Use proactively when you're about to ask the user a question about project intent, conventions, or architecture — consult the ambassador first. If invoked without a prompt, performs a project knowledge audit.

Audit and improve code-agent project configuration. Use when the user wants to review or optimize AGENTS.md, CLAUDE.md, slash commands, settings, permissions, or tool approvals based on observed gaps or chat history patterns. Triggers on requests like "improve my agent instructions", "review my setup", "why does the assistant keep getting X wrong", or provider-specific variants such as "improve my Claude instructions". Do NOT use for general prompt engineering or code review.

> Diagnostic pause when an agent session has gone off-track. Use when the user says things like "wait, what are we doing", "we're lost", "this isn't what I asked for", "let's step back", "where are we", "sanity check this", or when you notice the session has drifted significantly from the original goal. Produces a SITREP (situation report), diagnoses what went wrong, assesses context window health, and proposes corrective actions or a fresh-start prompt if the context is too polluted to recover.

>- Tears down server mode for html-skills for THIS Claude Code session — kills the receiver, stops the `Monitor` armed by `html-skills-listen`, and cleans up its temp files. Parallel sessions are unaffected. Invoke when the user is done with interactive html-skills artifacts ("I'm done with html-skills", "stop the listener", "end html-skills session"), OR at session end if the user mentions cleanup. Safe to invoke when nothing is active — it reports inactive and exits.

>- Sets up the per-session local receiver and `Monitor` for interactive html-skills artifacts so user submissions arrive as session notifications instead of as copy-paste round-trips. Other html-skills interactive skills (html-mind-map, html-throwaway-editor, html-brainstorm-grid, html-comparison-matrix, html-interactive-playground, html-design-prototypes, html-testing-checklist) invoke this skill from their pre-flight block, BEFORE writing the HTML artifact. Idempotent — safe to invoke every time. Returns a localhost URL the parent skill injects as `window.__CLAUDE_SUBMIT_URL__` in the artifact. Don't invoke unprompted in unrelated conversations — this only fires when an interactive html-skills artifact is about to be produced.

Creates comprehensive handoff documentation for sales reps going on vacation or transitioning deals. Generates structured briefs with deal status, activities, next steps, contacts, and risks. Use when user says "I'm going on vacation", "create handoff brief", "coverage brief for my deals", "vacation handoff", "out of office brief", "transition my deals", or "backup documentation".

Use when a spec needs customer-facing UX, visual direction, screen acceptance, design references, formal assets, Figma handoff, or design gates before build.

> 🤖 Data Science & AI/ML skill suite derived from alirezarezvani/claude-code-skill-factory. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.

Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.

aqara-agent is an official Aqara Home AI Agent skill. It supports natural-language home and space management, device inquiry, device control, ambience_create (氛围创建: apply or compose a named mood in a room or whole home via scene match then lights + optional music), ambience / mood orchestration reference, lighting effect inquiry and control (named lighting presets), device configuration (firmware/OTA upgrade only - not supported: rename devices, move devices between rooms or positions, or other device record edits outside firmware), device logs, scene management (query, execute, create, snapshot, and logs), automation management (create, query, detail, toggle, and logs), and energy / electricity-cost statistics (by device, room, or home). Examples: \"How many lights are at home?\", \"Switch to my other home.\", \"Turn off the living room AC.\", \"What are the temperature and humidity in the bedroom?\", \"氛围创建\", \"卧室营造温馨居家氛围.\", \"Whole home sunset vibe.\", \"What lighting effects or scene modes are available at home?\", \"Set the bedroom lights to the reading lighting effect.\", \"Upgrade the bedroom camera firmware.\", \"Upgrade firmware for the hub.\", \"Show device logs for this device.\", \"Run the Movie scene.\", \"Recommend a bedtime setup for the bedroom.\", \"Create a good-night scene in the bedroom.\", \"Capture a scene snapshot of how things are now.\", \"Which scenes use the kitchen lights?\", \"When it is sunset in Haidian District, Beijing, turn off the security alarm.\", \"Create an automation to turn off the bedroom lights every day at 10:30pm.\", \"Five minutes after the living room motion sensor detects someone, turn on the hallway lights.\", \"At 7am on weekdays, run the Good Morning scene.\", \"If outdoor temperature drops below 5 degrees C, send me a notification.\", \"What automations do I have?\", \"Turn off the morning routine automation.\", \"What triggers the Leave Home automation?\", \"What was last month's electricity bill at home?\", \"How much power did the bedroom use this week?\", \"Check automation execution in the bedroom for the last three days.\", \"Show scene run history for the Movie scene.\

Use this skill whenever the user wants to evaluate, test, or validate an AI agent, decide whether an agent is ready to ship or go live, choose how to grade an agent's answers (exact match, similarity, meaning, keywords, quality, or custom), design a test set of questions and expected answers, or interpret evaluation results into a go/no-go decision. Invoke it before the user hand-builds tests or declares an agent "done.