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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 8651 | cfo-advisor | alirezarezvani/claude-skills |
CFO Advisor Strategic financial frameworks for startup CFOs and finance leaders. Numbers-driven, decisions-focused. This is not a financial analyst skill. This is strategic: models that drive decisions, fundraises that don't kill the company, board packages that earn trust. Keywords CFO, chief financial officer, burn rate, runway, unit economics, LTV, CAC, fundraising, Series A, Series B, term sheet, cap table, dilution, financial model, cash flow, board financials, FP&A, SaaS metrics, ARR, MRR,...
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| 8652 | auto-trigger | charon-fan/agent-playbook |
Auto-Trigger Hooks This skill defines automatic trigger relationships between skills. When a skill completes its workflow, it should automatically trigger the next skill in the chain. Hook Definitions PRD Creation Chain prd_complete: triggers: - skill: self-improving-agent mode: background condition: PRD file exists and is complete - skill: session-logger mode: auto context: "PRD created for {feature_name}" prd_implemented: triggers: - skill: session-lo...
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| 8653 | nestjs-clean-typescript | mindrally/skills |
NestJS Clean TypeScript Guidelines by Alberto Basalo for developing clean NestJS APIs using TypeScript. These rules emphasize strong typing, clean code principles, and architectural best practices. TypeScript General Principles Always declare the type of each variable and function (parameters and return value) Avoid using any; create necessary types instead Use JSDoc for public classes and methods One export per file Naming Conventions PascalCase for classes camelCase for variables and functio...
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| 8654 | grepai-trace-callees | yoanbernabeu/grepai-skills |
This skill covers using `grepai trace callees` to find all functions called by a specific function. When to Use This Skill - Understanding function dependencies - Mapping function behavior - Finding deeply nested dependencies - Code comprehension and documentation What is Trace Callees? `grepai trace callees` answers: "What does this function call?" ``` func ProcessOrder(order) { validateOrder(order) calculateTotal(order) sendConfirmation(order.email) } │ ↓ ...
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| 8655 | gog | naoterumaker/openclaw-gog-skills |
gog Use gog for Gmail/Calendar/Drive/Contacts/Sheets/Docs. Requires OAuth setup. Setup (once) gog auth credentials /path/to/client_secret.json gog auth add you@gmail.com --services gmail,calendar,drive,contacts,docs,sheets gog auth list Common commands Gmail search: gog gmail search 'newer_than:7d' --max 10 Gmail messages search (per email, ignores threading): gog gmail messages search "in:inbox from:ryanair.com" --max 20 --account you@example.com Gmail send (plain): gog gmail send --to a@b.com ...
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| 8656 | geopandas | k-dense-ai/scientific-agent-skills |
GeoPandas GeoPandas extends pandas to enable spatial operations on geometric types. It combines the capabilities of pandas and shapely for geospatial data analysis. Installation uv pip install geopandas Optional Dependencies For interactive maps uv pip install folium For classification schemes in mapping uv pip install mapclassify Show more
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| 8657 | do-and-judge | neolabhq/context-engineering-kit |
do-and-judge Task Execute a single task by dispatching an implementation sub-agent, verifying with an independent judge, and iterating with feedback until passing or max retries exceeded. Context This command implements a single-task execution pattern with meta-judge → LLM-as-a-judge verification . You (the orchestrator) dispatch a meta-judge (to generate evaluation criteria) and an implementation agent in parallel , then dispatch a judge with the meta-judge's evaluation specification to verify ...
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| 8658 | do-in-parallel | neolabhq/context-engineering-kit |
do-in-parallel Key benefits: Parallel execution - Multiple tasks run simultaneously Requirement grouping - Reduces meta-judges and judges by identifying repeatable and shared task patterns Fresh context - Each sub-agent works with clean context window Task-specific evaluation - Each meta-judge produces tailored rubrics and checklists for its specific task or group External verification - Judge applies target-specific meta-judge specification mechanically — catches blind spots self-critique misse...
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| 8659 | fix-tests | neolabhq/context-engineering-kit |
Fix Tests User Arguments User can provide to focus on specific tests or modules: $ARGUMENTS If nothing is provided, focus on all tests. Context After business logic changes, refactoring, or dependency updates, tests may fail because they no longer match the current behavior or implementation. This command orchestrates automated fixing of all failing tests using specialized agents. Goal Fix all failing tests to match current business logic and implementation. Show more
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| 8660 | tree-of-thoughts | neolabhq/context-engineering-kit |
tree-of-thoughts Key benefits: Systematic exploration - Multiple agents explore different regions of the solution space Structured evaluation - Meta-judges produce tailored rubrics and criteria before judging Independent verification - Judges apply meta-judge specifications mechanically, reducing bias Adaptive strategy - Clear winners get polished, split decisions get synthesized, failures get redesigned Pattern: Tree of Thoughts (ToT) Show more
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| 8661 | data-engineer | sickn33/antigravity-awesome-skills |
You are a data engineer specializing in scalable data pipelines, modern data architecture, and analytics infrastructure. Use this skill when Designing batch or streaming data pipelines Building data warehouses or lakehouse architectures Implementing data quality, lineage, or governance Do not use this skill when You only need exploratory data analysis You are doing ML model development without pipelines You cannot access data sources or storage systems Instructions Define sources, SLAs, and data...
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| 8662 | create-skill | neolabhq/context-engineering-kit |
Create Skill Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, and tool integrations. About Skills Skills are modular, self-contained packages that extend agent capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks. What Skills Provide Specialized workflows - Multi-step procedures for specific domains Tool integrations - Instructions for working with spe...
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| 8663 | social-media-context-sms | blacktwist/social-media-skills |
When to Use User wants to set up or update their social media profile, voice, or audience User mentions "set up context," "my voice," or "my audience" User says "content pillars," "brand voice," or "who I'm writing for" User mentions "social media profile" or wants to avoid repeating foundational info User is starting a new project and needs to configure their identity before using other skills User wants to update their platforms, voice adjectives, or example posts Purpose You are an expert soc...
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| 8664 | emergency-room-beds | nomadamas/k-skill |
Emergency Room Beds What this skill does 사용자가 알려준 현재 위치를 기준으로 근처 응급실 과 공개 E-Gen 응급실 상태 플래그를 찾는다. 위치는 자동 추정하지 않는다. 위치가 없으면 먼저 현재 위치를 묻는다. 위치 문자열은 Kakao Map anchor 검색으로 좌표를 잡는다. 응급실 목록은 E-Gen 공개 응급실 찾기 표면을 사용한다. 응급실 운영 여부, 입원실/병상 운영 플래그, 권역외상센터/소아전문 여부, 데이터 갱신시각을 보여준다. 정확한 실시간 잔여 병상 수나 병상 가동률을 확정해서 말하지 않는다. 공개 E-Gen nearby 목록은 병상 수치가 아니라 운영 플래그를 제공한다. When to use "근처 응급실 찾아줘" "응급실 병상 상태 확인해줘" "광화문 주변 응급실 어디가 가까워?" "현재 위치 근처 응급실 운영 여부 알려줘" Show more Installs 464 Repository nomadamas/k-skill GitHub ...
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| 8665 | longbridge-kline | longbridge/skills |
longbridge-kline Historical candlesticks and today's intraday curve for Longbridge-supported securities (HK / US / A-share / Singapore). Does not support options, warrants, or indices — defer to longbridge-derivatives (derivatives) or longbridge-quote (indices). Response language : match the user's input language — Simplified Chinese / Traditional Chinese / English. Subcommands Run longbridge kline --help to confirm current period values, defaults, and aliases. CLI command Use when longbridge kl...
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| 8666 | mongodb-development | mindrally/skills |
MongoDB Development You are an expert in MongoDB development with Payload CMS, Mongoose, and Node.js. Core Expertise Areas Fullstack TypeScript with Payload CMS, MongoDB, and Node.js, enabling scalable backend services for multiple frontend applications including React Native, Remix.js, and Next.js. Technology Stack Backend: Payload CMS, MongoDB, Node.js, Express, TypeScript Frontend: Next.js, React, React Native, Remix.js Database: MongoDB, Mongoose, MongoDB Atlas, aggregation pipelines API...
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| 8667 | performance-engineer | charon-fan/agent-playbook |
Performance Engineer Specialist in analyzing and optimizing application performance, identifying bottlenecks, and implementing efficiency improvements. When This Skill Activates Activates when you: Report performance issues Need performance optimization Mention "slow" or "latency" Want to improve efficiency Performance Analysis Process Phase 1: Identify the Problem Define metrics What's the baseline? What's the target? What's acceptable? Measure current performance Response time curl -w "@curl-...
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| 8668 | agent-evaluation | davila7/claude-code-templates |
Agent Evaluation (AI Agent Evals) Based on Anthropic's "Demystifying evals for AI agents" When to use this skill Designing evaluation systems for AI agents Building benchmarks for coding, conversational, or research agents Creating graders (code-based, model-based, human) Implementing production monitoring for AI systems Setting up CI/CD pipelines with automated evals Debugging agent performance issues Measuring agent improvement over time Core Concepts Eval Evolution: Single-turn → Multi-turn →...
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| 8669 | agent-orchestration | yonatangross/orchestkit |
Agent Orchestration Comprehensive patterns for building and coordinating AI agents -- from single-agent reasoning loops to multi-agent systems and framework selection. Each category has individual rule files in rules/ loaded on-demand. Quick Reference Category Rules Impact When to Use Agent Loops 2 HIGH ReAct reasoning, plan-and-execute, self-correction Multi-Agent Coordination 3 CRITICAL Supervisor routing, agent debate, result synthesis Alternative Frameworks 3 HIGH CrewAI crews, AutoGen teams...
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| 8670 | wcag-accessibility-audit | mastepanoski/claude-skills |
WCAG Accessibility Audit This skill enables AI agents to perform a comprehensive web accessibility evaluation using the Web Content Accessibility Guidelines (WCAG) 2.1 and 2.2 standards, ensuring digital products are usable by people with disabilities. WCAG is the international standard for web accessibility (ISO/IEC 40500), legally required in many jurisdictions (ADA, Section 508, European Accessibility Act, etc.). Use this skill to identify accessibility barriers, ensure legal compliance, reac...
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| 8671 | ohou-today-deal | nomadamas/k-skill |
오늘의집 오늘의딜 조회 What this skill does 오늘의집 공개 오늘의딜 페이지( https://ohou.se/commerces/today_deals )의 서버 렌더링 초기 데이터( __NEXT_DATA__ )를 읽어 특가 상품을 조회한다. 오늘의딜/스페셜딜 상품 목록 조회 할인율, 원가, 판매가, 쿠폰/결제혜택 반영 최저가 정리 브랜드, 리뷰 수, 평점, 무료배송 여부, 상품 링크 확인 키워드, 최소 할인율, 무료배송 필터 When to use "오늘의집 오늘의딜 뭐 있어?" "오늘의집에서 할인율 높은 특가 상품 3개 보여줘" "오늘의집 무료배송 특가만 골라줘" "오늘의집에서 러그 특가 찾아줘" When not to use Show more Installs 464 Repository nomadamas/k-skill GitHub Stars 5.4K First Seen May 19, 2026
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| 8672 | vue3 | teachingai/full-stack-skills |
When to use this skill Use this skill whenever the user wants to: Learn or apply Vue 3 guide topics (from Introduction to advanced extras) Implement Vue 3 components, reactivity, templates, and routing Follow Vue 3 best practices, TypeScript usage, or performance guidance Check Vue 3 API reference for specific functions or options How to use this skill Identify the topic from the user request. Open the matching guide example file in examples/. If API details are needed, open the matching file ...
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| 8673 | commit-helper | charon-fan/agent-playbook |
CockroachDB Commit Helper Help the user create properly formatted commit messages and release notes that follow CockroachDB conventions. Workflow Analyze the changes : Run git diff --staged or git diff to understand what was modified Determine the package prefix : Identify the primary package affected Ask the user for: Issue/epic number if not already known Whether release notes are needed and what category fits best Write the subject line : Imperative mood, no period, under 72 characters Write ...
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| 8674 | design-game | opusgamelabs/game-creator |
Design Game Run a UI/UX design pass on an existing game to improve visuals, atmosphere, and game feel. No design experience needed — this command analyzes your game and applies proven visual patterns. Instructions Analyze the game at $ARGUMENTS (or the current directory if no path given). First, load the game-designer skill to get the full design vocabulary and patterns. Step 1: Audit Read package.json to identify the engine Read src/core/Constants.js for the current color palette and config Rea...
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| 8675 | stock-sector-monitoring | zuoa/aj-skills |
Stock Sector Monitoring Skill 用于基于 Tushare 的 A 股市场监测,重点支持: 概念板块监测( sector ) 龙虎榜每日明细( lhb , top_list / doc_id=106) 将结果输出并保存为 Markdown 文件 When to Use 当用户出现以下意图时使用本 skill: “监控概念板块/行业热度/涨幅榜” “查询龙虎榜数据” “过滤 ST 股票后输出结果” “把监控结果保存成 markdown/md 文件” Prerequisites 在 skill 根目录执行: cd /Users/yujian/Code/py/aj-skills/skills/stock-sector-monitoring 依赖准备: python3 -m venv .venv source .venv/bin/activate python3 -m pip install -U pip python3 -m pip install tushare pandas Tushare token 约定从 ~/.aj-skills/.env 读取: ~/....
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| 8676 | fork-discipline | jezweb/claude-skills |
Fork Discipline Audit the core/client boundary in multi-client codebases. Every multi-client project should have a clean separation between shared platform code (core) and per-deployment code (client). This skill finds where that boundary is blurred and shows you how to fix it. The Principle project/ src/ ← CORE: shared platform code. Never modified per client. config/ ← DEFAULTS: base config, feature flags, sensible defaults. clients/ client-name/ ← CLIENT: everything that v...
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| 8677 | performance-engineer | sickn33/antigravity-awesome-skills |
Performance Engineer Specialist in analyzing and optimizing application performance, identifying bottlenecks, and implementing efficiency improvements. When This Skill Activates Activates when you: Report performance issues Need performance optimization Mention "slow" or "latency" Want to improve efficiency Performance Analysis Process Phase 1: Identify the Problem Define metrics What's the baseline? What's the target? What's acceptable? Measure current performance Response time curl -w "@curl-...
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| 8678 | simpy | k-dense-ai/scientific-agent-skills |
SimPy - Discrete-Event Simulation Overview SimPy is a process-based discrete-event simulation framework based on standard Python. Use SimPy to model systems where entities (customers, vehicles, packets, etc.) interact with each other and compete for shared resources (servers, machines, bandwidth, etc.) over time. Core capabilities: Process modeling using Python generator functions Shared resource management (servers, containers, stores) Event-driven scheduling and synchronization Real-time simul...
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| 8679 | pymoo | k-dense-ai/scientific-agent-skills |
Pymoo - Multi-Objective Optimization in Python Overview Pymoo is a comprehensive Python framework for optimization with emphasis on multi-objective problems. Solve single and multi-objective optimization using state-of-the-art algorithms (NSGA-II/III, MOEA/D), benchmark problems (ZDT, DTLZ), customizable genetic operators, and multi-criteria decision making methods. Excels at finding trade-off solutions (Pareto fronts) for problems with conflicting objectives. When to Use This Skill This skill s...
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| 8680 | write-tests | neolabhq/context-engineering-kit |
Cover Local Changes with Tests User Arguments User can provide a what tests or modules to focus on: $ARGUMENTS If nothing is provided, focus on all changes in current git diff that not commited. If everything is commited, then will cover latest commit. Context After implementing new features or refactoring existing code, it's critical to ensure all business logic changes are covered by tests. This command orchestrates automated test creation for local changes using coverage analysis and speciali...
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| 8681 | test-prompt | neolabhq/context-engineering-kit |
Testing Prompts With Subagents Test any prompt before deployment: commands, hooks, skills, subagent instructions, or production LLM prompts. Overview Testing prompts is TDD applied to LLM instructions. Run scenarios without the prompt (RED - watch agent behavior), write prompt addressing failures (GREEN - watch agent comply), then close loopholes (REFACTOR - verify robustness). Core principle: If you didn't watch an agent fail without the prompt, you don't know what the prompt needs to fix. REQU...
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| 8682 | judge | neolabhq/context-engineering-kit |
Judge Command Your Workflow Phase 1: Context Extraction Show more
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| 8683 | local-election-candidate-search | nomadamas/k-skill |
Local Election Candidate Search What this skill does 중앙선거관리위원회(NEC) 선거통계시스템의 공개 통합검색에서 후보자 이름을 조회하고, 지방선거 관련 후보자 이력만 기본으로 정리한다. 후보자명, 한자명, 생년월일/성별, 선거일, 선거명, 선거종류, 정당, 선거구, 득표, 직업, 학력, 경력 등을 반환한다. When to use 사용자가 “지방선거 후보”, “시도지사 후보”, “기초의원 후보”, “교육감 후보” 등을 이름/지역/선거일 기준으로 찾아 달라고 할 때 중앙선관위 선거통계시스템에서 공개된 후보자 이력을 확인해야 할 때 동명이인이 있을 수 있어 후보자명 + 선거종류/지역/연도 필터가 필요한 때 Public access path Chosen path: NEC integrated candidate search. Show more Installs 463 Repository nomadamas/k-skill GitHub Stars 5.4K F...
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| 8684 | strategic-planning | ognjengt/founder-skills |
Strategic Planning Purpose Analyze the founder's business and current situation to deliver 3 specific, actionable next moves that will drive measurable results in marketing or sales. Execution Logic Check $ARGUMENTS first to determine execution mode: If $ARGUMENTS is empty or not provided: Respond with: "strategic-planning loaded, proceed with additional details about your current situation or business goals" Then wait for the user to provide their requirements in the next message. If $ARGUMENTS...
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| 8685 | omnivoice-tts | aradotso/trending-skills |
OmniVoice TTS Skill Skill by ara.so — Daily 2026 Skills collection. OmniVoice is a state-of-the-art zero-shot TTS model supporting 600+ languages, built on a diffusion language model-style architecture. It supports voice cloning (from reference audio), voice design (via text attributes), and auto voice generation with RTF as low as 0.025. Installation Requirements Python 3.9+ PyTorch 2.8+ CUDA (recommended) or Apple Silicon (MPS) or CPU pip (recommended) Step 1: Install PyTorch for your platfor...
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| 8686 | outreach-specialist | ognjengt/founder-skills |
Outreach Specialist Purpose Generate a personalized outreach sequence (default 3 messages) that sounds human, builds trust, and books calls — tailored to the prospect, platform, and offer. Execution Logic Check $ARGUMENTS first to determine execution mode: If $ARGUMENTS is empty or not provided: Respond with: "outreach-specialist loaded, tell me who you're reaching out to and what you're offering" Then wait for the user to provide their requirements in the next message. If $ARGUMENTS contains co...
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| 8687 | autonomous | camacho/ai-skills |
Return to Autonomous Mode Claude Code only — Codex and Cursor sessions are always autonomous. Activate .claude/hooks/activate-autonomous.sh If the script does not exist, tell the user: "This project doesn't have mode switching hooks. You are already in autonomous mode by default." Confirmation After activation, print: Mode: autonomous Worktree enforcement active. Full workflow pipeline. Behavior Follow autonomous mode rules in .claude/rules/operating-mode.md .
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| 8688 | paid-ads | sickn33/antigravity-awesome-skills |
Paid Ads You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition. Before Starting Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task....
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| 8689 | swarm orchestration | ruvnet/ruflo |
Swarm Orchestration Skill Purpose Multi-agent swarm coordination for complex tasks. Uses hierarchical topology with specialized agents to break down and execute complex work across multiple files and modules. When to Trigger 3+ files need changes new feature implementation cross-module refactoring API changes with tests security-related changes performance optimization across codebase database schema changes When to Skip single file edits simple bug fixes (1-2 lines) documentation updates config...
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| 8690 | bioservices | k-dense-ai/scientific-agent-skills |
BioServices Overview BioServices is a Python package providing programmatic access to approximately 40 bioinformatics web services and databases. Retrieve biological data, perform cross-database queries, map identifiers, analyze sequences, and integrate multiple biological resources in Python workflows. The package handles both REST and SOAP/WSDL protocols transparently. When to Use This Skill This skill should be used when: Retrieving protein sequences, annotations, or structures from UniProt, ...
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| 8691 | fastapi-pro | sickn33/antigravity-awesome-skills |
Use this skill when Working on fastapi pro tasks or workflows Needing guidance, best practices, or checklists for fastapi pro Do not use this skill when The task is unrelated to fastapi pro You need a different domain or tool outside this scope Instructions Clarify goals, constraints, and required inputs. Apply relevant best practices and validate outcomes. Provide actionable steps and verification. If detailed examples are required, open resources/implementation-playbook.md . You are a FastAPI ...
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| 8692 | verification-before-completion | jnmetacode/superpowers-zh |
Verification Before Completion Overview Claiming work is complete without verification is dishonesty, not efficiency. Core principle: Evidence before claims, always. Violating the letter of this rule is violating the spirit of this rule. The Iron Law NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE If you haven't run the verification command in this message, you cannot claim it passes. The Gate Function BEFORE claiming any status or expressing satisfaction: 1. IDENTIFY: What command prov...
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| 8693 | earnings-trade-analyzer | tradermonty/claude-trading-skills |
Earnings Trade Analyzer - Post-Earnings 5-Factor Scoring Analyze recent post-earnings stocks using a 5-factor weighted scoring system to identify the strongest earnings reactions for potential momentum trades. When to Use User asks for post-earnings trade analysis or earnings gap screening User wants to find the best recent earnings reactions User requests earnings momentum scoring or grading User asks about post-earnings accumulation day (PEAD) candidates Prerequisites FMP API key (set FMP_API_...
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| 8694 | system-architect | aj-geddes/claude-code-bmad-skills |
Role: Phase 3 - Solutioning specialist Function: Design system architecture that meets all functional and non-functional requirements Responsibilities - Design system architecture - Select appropriate technology stacks with justification - Define system components, boundaries, and interfaces - Create data models and API specifications - Address non-functional requirements systematically - Ensure scalability, security, and maintainability - Document architectural decisions and trade-off...
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| 8695 | watchos-design-guidelines | ehmo/platform-design-skills |
watchOS Design Guidelines Apple Watch is a personal, glanceable device worn on the wrist. Interactions are measured in seconds, not minutes. Every design decision must prioritize speed of comprehension and brevity of interaction. 1. Glanceable Design (CRITICAL) The defining constraint of watchOS. If a user cannot extract the key information within 2 seconds of raising their wrist, the design has failed. Rules W-GL-01 : Primary information must be visible without scrolling. The first screen is th...
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| 8696 | deployment-engineer | charon-fan/agent-playbook |
Deployment Engineer Specialist in deployment automation, CI/CD pipelines, and infrastructure management. When This Skill Activates Activates when you: Set up deployment pipeline Configure CI/CD Manage releases Automate infrastructure CI/CD Pipeline Pipeline Stages stages : - lint - test - build - security - deploy - dev - deploy - staging - deploy - production GitHub Actions Example name : CI/CD on : push : branches : [ main , develop ] pull_request : branches : [ main ] jobs : lint : runs-on : ...
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| 8697 | cursor-best-practices | siviter-xyz/dot-agent |
Cursor Best Practices Best practices for working with Cursor to maximize productivity and code quality. Core Principles Start with plans - Use Plan Mode (Shift+Tab) for complex tasks Manage context effectively - Let agent find context, start new conversations when needed Extend the agent - Use Rules for static context, Skills for dynamic capabilities Review carefully - AI-generated code needs review like human code Key Workflows Test-driven development - Write tests first, iterate until passin...
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| 8698 | tscircuit | tscircuit/skill |
You are helping the user design electronics using tscircuit (React/TypeScript) and the `tsci` CLI. When this Skill is active: - Prefer tscircuit’s documented primitives and CLI behavior. If something is unclear, confirm by: Reading local files in the repo (e.g., `tscircuit.config.json`, `index.tsx`, `package.json`) - Running `tsci --help` or the specific subcommand’s `--help` - Avoid “inventing” JSX props or CLI flags. Default workflow - Clarify requirements (if not already given) - Boa...
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| 8699 | marketing-ops | alirezarezvani/claude-skills |
Marketing Ops You are a senior marketing operations leader. Your goal is to route marketing questions to the right specialist skill, orchestrate multi-skill campaigns, and ensure quality across all marketing output. Before Starting Check for marketing context first: If marketing-context.md exists, read it. If it doesn't, recommend running the marketing-context skill first — everything works better with context. How This Skill Works Mode 1: Route a Question User has a marketing question → you ide...
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| 8700 | modal | k-dense-ai/scientific-agent-skills |
Modal Imperative API Guide Use createModal from @lobehub/ui for imperative modal dialogs. Why Imperative? Mode Characteristics Recommended Declarative Need open state, render <Modal /> ❌ Imperative Call function directly, no state ✅ File Structure features/ └── MyFeatureModal/ ├── index.tsx Export createXxxModal └── MyFeatureContent.tsx Modal content Implementation 1. Content Component ( MyFeatureContent.tsx ) 'use client' ; import { useModalContext } from '@lobehub/ui' ; import { us...
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