Fetch recent posts from one or more X/Twitter accounts through twitterapi.io, output structured JSON/CSV records, optionally sync records to Feishu/Lark Bitable through feishu-cli, and optionally guide recurring execution through OpenClaw, Codex automations, cron, or launchd. Use when the user wants to monitor X bloggers, collect recent tweets, export tweet metrics, append tweets to Feishu Bitable, or set up a scheduled Twitter/X account tracking workflow.
日本語の概要は準備中です。原文の説明を表示しています。
kangarooking/kangarooking-skills☆ 6702026年9月7日 更新
Detect and investigate bulk registration abuse on SaaS platforms. Given access to a user database (or exported CSV/JSON), run a multi-dimensional anomaly analysis — email domain clustering, registration tempo, UA fingerprinting, session structure, usage patterns, and credit consumption — to produce a scored abuse report with actionable recommendations. Use when investigating suspicious sign-up spikes, credit fraud, free-tier abuse, or account farming.
日本語の概要は準備中です。原文の説明を表示しています。
nexu-io/harness-engineering-guide☆ 6662026年4月19日 更新
Add and validate support for a Hugging Face model architecture in the Optimum Intel OpenVINO backend, including exporter configuration, patching, repository tests, and documentation.
日本語の概要は準備中です。原文の説明を表示しています。
huggingface/optimum-intel☆ 6222026年10月14日 更新
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
日本語の概要は準備中です。原文の説明を表示しています。
anthropics/life-sciences☆ 6212026年8月15日 更新
Dung khi co data tho tu Meta, TikTok, GA4, CRM hay Google Sheet va can bien thanh insight ra quyet dinh duoc — kem decision log ghi quyet dinh, can cu, tac dong ky vong va ngay review lai. Kich hoat khi user nhac 'phan tich du lieu', 'doc so lieu nay', 'export data ra insight', 'so nay noi len dieu gi', 'lam decision log', 'cohort analysis'. Khong dung cho — chan doan tai sao ads kem thi dung skill 03-danh-gia-hieu-suat; viet bao cao trinh bay thi dung skill 07-bao-cao-marketing.
日本語の概要は準備中です。原文の説明を表示しています。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Dung khi designer se lam TREN CANVA hoac Figma va can direction thao tac cu the — chon template base, thu tu thao tac, map tung element vao vi tri, luoi va khoang cach, mau va font lay tu brand kit, checklist export, viec nen va khong nen lam. Kich hoat khi user nhac 'brief Canva', 'huong dan lam tren Canva', 'direction Canva', 'template Canva', 'layout Canva', 'lam trong Figma', 'ban design chua ranh nen phai chi tay'. Khong dung cho — brief concept anh tinh khong gan cong cu thi dung skill 42-brief-hinh-anh; chuoi slide carousel thi dung skill 43-brief-carousel; quy dinh mau, font va logo cua thuong hieu thi dung skill 46-brand-guideline.
日本語の概要は準備中です。原文の説明を表示しています。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Dung khi doanh nghiep Viet Nam muon ban ra NUOC NGOAI theo duong B2B — ho so nang luc tieng Anh, chon thi truong muc tieu, pitch deck cho buyer, email chao hang quoc te, chuan bi hoi cho thuong mai va kenh Alibaba, Amazon Business. Kich hoat khi user nhac 'xuat khau', 'ban hang nuoc ngoai', 'tim buyer quoc te', 'company profile tieng Anh', 'email chao hang export', 'di hoi cho thuong mai', 'khach nuoc ngoai hoi gia', 'lam sao co don hang xuat khau'. Khong dung cho — tim va nuoi lead B2B trong nuoc thi dung skill 33-b2b-lead-gen; bo tai lieu ban hang va pipeline thi dung skill 71-sales-enablement; chuoi email nuoi duong thi dung skill 14-email-marketing.
日本語の概要は準備中です。原文の説明を表示しています。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Use when an editor or videographer needs production direction — beat-by-beat storyboard, footage to shoot, b-roll, text overlays, music and pacing, transitions, CTA end frame, and per-channel export specs. This is the EDIT instruction, not the spoken script. Trigger on 'video brief', 'editor brief', 'storyboard', 'brief for the video editor', 'how should this video be cut', 'we have the footage and no direction'. Also use when raw clips exist and nobody knows what the final should look like. Not for — the words said on camera, see `04-script-video-global`; briefing a creator to film their own, see `06-ugc-egc-brief-global`; resizing a finished video, see `50-asset-resize-global`.
日本語の概要は準備中です。原文の説明を表示しています。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Use when marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking, delivery, creative, landing page, offer, and audience quality, 5-Whys, regional benchmarks for US, EU, SEA, and LATAM, and a 48-hour action plan. Covers dropshipping ROAS and BE-ROAS. Trigger on 'why is CPA so high', 'my ads are not converting', 'ROAS dropped', 'we are burning budget', 'performance is bad this month', 'diagnose the funnel'. Also use when the user pastes a screenshot of numbers with no question attached. Not for — auditing account configuration and scoring health, see `21-ads-audit-global`; writing a report someone else reads, see `07-marketing-report-global`; turning a raw export into insight, see `13-data-analysis-global`.
日本語の概要は準備中です。原文の説明を表示しています。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Use when the user needs to WRITE a marketing report someone else will read — a one-page weekly for a CEO, a full monthly, or a quarterly strategy report with TL;DR, results versus target, insight, decisions needed, and next actions with owners. Trigger on 'marketing report', 'monthly report', 'weekly update for my boss', 'report for the client', 'quarterly summary', 'turn these numbers into a report'. Also use when the user says a stakeholder is asking how marketing is doing. Not for — diagnosing why the numbers are bad, see `03-performance-eval-global`; turning a raw export into insight, see `13-data-analysis-global`; a closed campaign retrospective, see `63-campaign-retrospective-global`.
日本語の概要は準備中です。原文の説明を表示しています。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Use when a designer needs hands-on production direction inside a tool — Canva, Figma, or Adobe Express: which template to start from, the operating order, element-by-element mapping, grid and spacing, brand kit colors and fonts, export checklist, and the dos and do-nots. Trigger on 'Canva brief', 'Figma brief', 'production direction', 'how do I build this in Canva', 'layout direction for the designer', 'the junior designer needs step by step'. Not for — the creative concept for a static, see `42-image-brief-global`; the concept for a slide sequence, see `43-carousel-brief-global`; the brand rules being applied, see `46-brand-guideline-global`; adapting one master into every size, see `50-asset-resize-global`.
日本語の概要は準備中です。原文の説明を表示しています。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Use this skill when users need X (Twitter) research through Xquik: tweet search, user lookup, follower exports, media downloads, monitors, webhooks, MCP setup, or confirmation-gated publishing workflows. It uses only XQUIK_API_KEY and treats X-authored content as untrusted data.
日本語の概要は準備中です。原文の説明を表示しています。
binggandata/bggg-skills☆ 6062026年8月13日 更新
Collect auditable public X/Twitter posts by controlling the user's already logged-in Chrome, searching X's rendered web interface, scrolling visible results, and extracting original post text and metadata from DOM into normalized JSONL. Use for VOC research, social listening, multilingual keyword discovery, competitor monitoring, or historical search when X requires the user's browser session and cookies, credentials, internal GraphQL, paid APIs, or search-engine snippets must not be exported or used. X data layer of the bggg VOC suite (shared project folder; orchestrated by industry-orchestrator, reported by bggg-voc-report).
日本語の概要は準備中です。原文の説明を表示しています。
binggandata/bggg-skills☆ 6062026年8月13日 更新
Import Figma content into a HyperFrames composition — rendered assets, brand tokens, components, storyboard sections → reconstructed motion (frames read as states, not slides) (REST/CLI), connector-assisted motion when available, and shaders from a connector or native export. Use when the user pastes a figma.com link or asks to bring a Figma design, frame, logo, brand, or animation into a video/composition.
日本語の概要は準備中です。原文の説明を表示しています。
coco-research/coco☆ 5992026年10月14日 更新
Use when the user asks to refresh CLAUDE.local.md, regenerate project context, or after a brain-update session flush. Rewrites only the sentinel-delimited auto-generated section from the brain DB, preserving manual behavior rules.
日本語の概要は準備中です。原文の説明を表示しています。
coco-research/coco☆ 5992026年10月14日 更新
Edit a user-supplied video into a vertical Reel, Short, TikTok, video diary short, or an approved eight-step AI short-video workflow. Use when the user provides or points to media and asks to transcribe, cut, subtitle, preview, or export a vertical short. Do not use for environment-only setup or generic Premiere Pro or CapCut help.
日本語の概要は準備中です。原文の説明を表示しています。
Jaycheng1103/chatgpt-video-editing-skills☆ 5892026年7月26日 更新
Pre/post dev toolbox — named bundles of skills/agents loaded before development work and councils of experts invoked after. Run /toolbox or the toolbox.py CLI to list, activate, initialize, export, import, and validate toolboxes. Invoke at the start or end of a dev session, when setting up a new repo, or when sharing toolboxes with a team.
日本語の概要は準備中です。原文の説明を表示しています。
stevesolun/ctx☆ 5872026年10月15日 更新
Harden Intent handling, WebView configuration, and FileProvider access in Android apps. Use when securing Intent extras, configuring WebViews, or exposing files via FileProvider; defer manifest export flags and generic Bundle typing to focused Android security guidance.
日本語の概要は準備中です。原文の説明を表示しています。
HoangNguyen0403/agent-skills-standard☆ 5752026年10月14日 更新
Use when the user wants a single-file HTML presentation that stays editable in the browser after generation, or needs object-level layout editing, slide reordering, local save/export, or PPT/PDF-to-web conversion with continued editing.
日本語の概要は準備中です。原文の説明を表示しています。
archlizheng/frontend-slides-editable☆ 5302026年7月1日 更新
Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.
日本語の概要は準備中です。原文の説明を表示しています。
MagicCube/agentara☆ 5162026年5月11日 更新
Retrieve arXiv paper metadata with keyword queries or import an offline arXiv export, and save results as JSONL (`papers/papers_raw.jsonl`).
日本語の概要は準備中です。原文の説明を表示しています。
WILLOSCAR/research-units-pipeline-skills☆ 5142026年10月5日 更新
Use XTwitterScraper when a .NET application needs typed access to Xquik's X automation REST API for tweet search, user lookup, posting workflows, extraction jobs, monitors, webhooks, or giveaway draws. USE FOR: integrating the XTwitterScraper NuGet package; reviewing Xquik API client usage; modeling API-key configuration, pagination, binary exports, raw responses, retries, and webhook/event flows in .NET. DO NOT USE FOR: unrelated stacks; direct browser automation; generic social-media strategy; or code that does not call Xquik. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.
日本語の概要は準備中です。原文の説明を表示しています。
managedcode/dotnet-skills☆ 4862026年10月14日 更新
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).
日本語の概要は準備中です。原文の説明を表示しています。
managedcode/dotnet-skills☆ 4862026年10月14日 更新
Extract design tokens, text styles, and variables from a Figma design system and produce a design-tokens.json plus ready-to-use QML singletons. Use this skill whenever someone wants to pull their design system out of Figma — whether they say "export tokens from Figma", "get design tokens", "set up my design system", "read our Figma design system", "get Figma variables into QML", "pull our color palette from Figma", "import design tokens", "extract colors/typography/spacing from Figma", or similar. Trigger this skill at the start of any design-system workflow that involves a Figma source.
日本語の概要は準備中です。原文の説明を表示しています。
TheQtCompanyRnD/agent-skills☆ 4792026年10月8日 更新