stock-market-pro은(는) 무엇을 하나요?
전문적인 주가 추적, 펀더멘털 분석 및 재무 보고 도구입니다. 미국, 한국 등 글로벌 시장과 암호화폐, 외환(Forex)을 실시간 데이터로 지원합니다. (1) 실시간 시세, (2) 가치 평가 지표(PE, EPS, ROE), (3) 실적 발표 일정 및 컨센서스, (4) 기술적 지표(MA5/20/60)가 포함된 고품질 캔들스틱 및 라인 차트를 제공합니다.
전문적인 주가 추적, 펀더멘털 분석 및 재무 보고 도구입니다. 미국, 한국 등 글로벌 시장과 암호화폐, 외환(Forex)을 실시간 데이터로 지원합니다. (1) 실시간 시세, (2) 가치 평가 지표(PE, EPS, ROE), (3) 실적 발표 일정 및 컨센서스, (4) 기술적 지표(MA5/20/60)가 포함된 고품질 캔들스틱 및 라인 차트를 제공합니다.
sundial-org/stock-market-pro는 개발자와 AI 에이전트 사용자를 위해 설계된 전문 주식 시장 분석 스킬입니다. 이 스킬은 미국, 한국, 암호화폐, 외환 시장을 포함한 글로벌 금융 데이터에 대한 실시간 접근을 제공합니다. 주요 기능으로는 실시간 주가 조회, PER, EPS, ROE와 같은 가치 평가 지표 분석, 실적 발표 일정 및 시장 컨센서스 확인, 그리고 이동 평균(MA5/20/60)을 포함한 기술적 지표가 적용된 고품질 차트 생성 등이 있습니다. Claude Code, Cursor, Codex 등 다양한 AI 에이전트 플랫폼에서 사용할 수 있으며, SKILL.md 문서에 정의된 명령 인터페이스를 통해 투자 의사 결정을 지원합니다. 이 도구는 복잡한 금융 데이터를 이해하기 쉬운 형태로 가공하여 AI 에이전트가 신속하게 시장 정보를 수집하고 분석할 수 있게 해줍니다.
npx skills add https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/stock-market-proInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
전문적인 주가 추적, 펀더멘털 분석 및 재무 보고 도구입니다. 미국, 한국 등 글로벌 시장과 암호화폐, 외환(Forex)을 실시간 데이터로 지원합니다. (1) 실시간 시세, (2) 가치 평가 지표(PE, EPS, ROE), (3) 실적 발표 일정 및 컨센서스, (4) 기술적 지표(MA5/20/60)가 포함된 고품질 캔들스틱 및 라인 차트를 제공합니다.
This repo contains 19 individual skills — each has its own dedicated page.
End-to-end AI video generation - create videos from text prompts using image generation, video synthesis, voice-over, and editing. Supports OpenAI DALL-E, Replicate models, LumaAI, Runway, and FFmpeg editing.
Create product demo videos by automating browser interactions and capturing frames. Use when the user wants to record a demo, walkthrough, product showcase, or interactive video of a web application. Supports Playwright CDP screencast for high-quality capture and FFmpeg for video encoding.
Text-to-speech conversion using node-edge-tts npm package for generating audio from text. Supports multiple voices, languages, speed adjustment, pitch control, and subtitle generation. Use when: (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output.
Generate FFmpeg commands from natural language video editing requests - cut, trim, convert, compress, change aspect ratio, extract audio, and more.
Create a verbatim transcript for a YouTube URL using Google Gemini (speaker labels, paragraph breaks; no time codes). Use when the user asks to transcribe a YouTube video or wants a clean transcript (no timestamps).
Generate landing page code from product descriptions
Generate a beautiful HTML landing page from your package.json. Use when you need a quick marketing page for your project.
Founder vs employee personal branding strategies with LinkedIn positioning and exit planning
Monitor stock/crypto holdings, get price alerts, track portfolio performance
Complete X (Twitter) algorithm mastery - engagement weights, viral formulas, shadow ban avoidance, thread optimization, and growth strategies. Based on X's open-source code analysis and real creator data.
Local speech-to-text using faster-whisper. 4-6x faster than OpenAI Whisper with identical accuracy; GPU acceleration enables ~20x realtime transcription. Supports standard and distilled models with word-level timestamps.
Comprehensive video/audio processing with FFmpeg. Use for: (1) Video transcoding and format conversion, (2) Cutting and merging clips, (3) Audio extraction and manipulation, (4) Thumbnail and GIF generation, (5) Resolution scaling and quality adjustment, (6) Adding subtitles or watermarks, (7) Speed adjustment (slow/fast motion), (8) Color correction and filters.
Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.
Market news briefings with AI summaries. Use when asked about stock news, market updates, portfolio performance, morning/evening briefings, financial headlines, or price alerts. Supports US/Europe/Japan markets, WhatsApp delivery, and English/German output.
Web content extraction via Jina AI Reader API. Three modes: read (URL to markdown), search (web search + full content), ground (fact-checking). Extracts clean content without exposing server IP.
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.
This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
Set reminders using natural language. Automatically creates one-time cron jobs and logs to markdown.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.