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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 10551 | flash | runpod/skills |
Runpod Flash Write code locally, iterate with flash dev — it runs your functions on remote Runpod GPUs/CPUs with hot-reload and live worker logs — then flash deploy to ship. Endpoint handles provisioning. Load on demand — this skill keeps the mental model + gotchas inline; details live in reference/ : Need Read Install, auth, flash init , and the full flash command list reference/setup-and-cli.md Endpoint(...) constructor params, NetworkVolume / PodTemplate / EndpointJob , GPU & CPU enum tables ...
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| 10552 | brreg | aradotso/trending-skills |
Norwegian Business Registry (Brreg) Skill by ara.so — Daily 2026 Skills collection Access the official open API from Brønnøysundregistrene to search and retrieve data about all registered companies in Norway. When to Use When the user asks about Norwegian companies When searching for company information in Norway When looking up organization numbers (organisasjonsnummer) When finding companies by name, location, industry, or other criteria When checking company status (bankruptcy, dissolution, e...
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| 10553 | copaw-ai-assistant | aradotso/trending-skills |
CoPaw AI Assistant Skill Skill by ara.so — Daily 2026 Skills collection. CoPaw is a personal AI assistant framework you deploy on your own machine or in the cloud. It connects to multiple chat platforms (DingTalk, Feishu, QQ, Discord, iMessage, Telegram, Mattermost, Matrix, MQTT) through a single agent, supports custom Python skills, scheduled cron jobs, local and cloud LLMs, and provides a web Console at http://127.0.0.1:8088/ . Installation pip (recommended if Python 3.10–3.13 is available) pi...
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| 10554 | agent-harness-construction | affaan-m/ecc |
Agent Harness Construction Use this skill when you are improving how an agent plans, calls tools, recovers from errors, and converges on completion. Core Model Agent output quality is constrained by: Action space quality Observation quality Recovery quality Context budget quality Action Space Design Use stable, explicit tool names. Keep inputs schema-first and narrow. Return deterministic output shapes. Avoid catch-all tools unless isolation is impossible. Granularity Rules Use micro-tools for h...
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| 10555 | github-workflow-automation | sickn33/antigravity-awesome-skills |
🔧 GitHub Workflow Automation Patterns for automating GitHub workflows with AI assistance, inspired by Gemini CLI and modern DevOps practices. Detailed Guide Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely. When to Use This Skill Use this skill when: Automating PR revie...
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| 10556 | create-design-system-rules | figma/mcp-server-guide |
Create Design System Rules Overview This skill helps you generate custom design system rules tailored to your project's specific needs. These rules guide Claude to produce consistent, high-quality code when implementing Figma designs, ensuring that your team's conventions, component patterns, and architectural decisions are followed automatically. What Are Design System Rules? Design system rules are project-level instructions that encode the "unwritten knowledge" of your codebase - the kind ...
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| 10557 | autonomous-agent-harness | affaan-m/ecc |
Autonomous Agent Harness Turn Claude Code into a persistent, self-directing agent system using only native features and MCP servers. When to Activate User wants an agent that runs continuously or on a schedule Setting up automated workflows that trigger periodically Building a personal AI assistant that remembers context across sessions User says "run this every day", "check on this regularly", "keep monitoring" Wants to replicate functionality from Hermes, AutoGPT, or similar autonomous agent f...
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| 10558 | tailwind-design-system | sickn33/antigravity-awesome-skills |
Tailwind Design System (v4) Build production-ready design systems with Tailwind CSS v4, including CSS-first configuration, design tokens, component variants, responsive patterns, and accessibility. Note : This skill targets Tailwind CSS v4 (2024+). For v3 projects, refer to the upgrade guide . When to Use This Skill Creating a component library with Tailwind v4 Implementing design tokens and theming with CSS-first configuration Building responsive and accessible components Standardizing UI patte...
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| 10559 | last30days | sickn33/antigravity-awesome-skills |
last30days v2.9.5: Research Any Topic from the Last 30 Days Permissions overview: Reads public web/platform data and optionally saves research briefings to ~/Documents/Last30Days/ . X/Twitter search uses optional user-provided tokens (AUTH_TOKEN/CT0 env vars). Bluesky search uses optional app password (BSKY_HANDLE/BSKY_APP_PASSWORD env vars - create at bsky.app/settings/app-passwords). Truth Social search uses optional bearer token (TRUTHSOCIAL_TOKEN env var - extract from browser dev tools). Al...
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| 10560 | openspec-implementation | forztf/open-skilled-sdd |
Systematically implements approved spec proposals by executing tasks sequentially with proper testing and validation. Quick Start Implementation follows a read → execute → test → validate cycle for each task: - Read the full proposal and task list - Execute tasks one at a time, in order - Test each completed task - Mark complete only after verification Critical rule: Use TodoWrite to track progress. Never skip tasks or mark incomplete work as done. Workflow Copy this checklist and tra...
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| 10561 | prediction-market-risk-review | affaan-m/everything-claude-code |
Prediction Market Risk Review Use this skill before a prediction-market workflow touches user financial context, venue authentication, portfolio data, automation, or execution-capable tools. Review Gates Advice Boundary Confirm the output is informational. Remove buy/sell/hold/size recommendations. Keep manual user decision points explicit. Venue And Regulatory Boundary Show more Installs 1.4K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 25, 2026 Security Audits Gen Agent Trust Hub...
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| 10562 | prediction-market-oracle-research | affaan-m/everything-claude-code |
Prediction Market Oracle Research Use this skill when prediction markets are being considered as a data source, forecasting input, oracle-like signal, or decision-intelligence layer. Guardrails Do not treat market prices as objective truth. Do not provide investment advice or trading recommendations. Separate venue mechanics, liquidity, incentives, and resolution rules from the implied signal. Call out manipulation, thin liquidity, stale markets, and ambiguous outcomes. For on-chain or execution...
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| 10563 | ito-basket-compare | affaan-m/everything-claude-code |
Itô Basket Compare Use this skill for requests such as “compare this basket with my research,” “basket vs watchlist,” “run a gap analysis,” or “find conflicts and stale assumptions.” It compares a basket, theme, or market set with user-provided or explicitly selected context. It is read-only and never recommends or executes a trade. Non-negotiable boundaries Show more Installs 1.4K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 25, 2026 Security Audits Gen Agent Trust Hub Pass Socket...
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| 10564 | ito-data-atlas-agent | affaan-m/everything-claude-code |
Itô Data Atlas Agent Design a background research agent that discovers data sources, drafts a basket or parameter change, and returns an editable, source-grounded result to a human. It may use Itô's documented read-only product-data surfaces. It never runs live trading. Discovery Trigger examples include: "discover data sources for an Itô basket" "draft a basket from these sources" "design a background research agent" "build a Data Atlas workflow with human review" Do not trigger this skill for ...
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| 10565 | ito-market-intelligence | affaan-m/everything-claude-code |
Itô Market Intelligence Use this skill when a user wants prediction-market context, event discovery, venue comparison, basket theme exploration, or an Itô API-backed market brief. Use public sources by default. Any Itô-backed data call requires the user to explicitly request Itô data and requires a scoped ITO_API_KEY . Never print, persist, or ask the user to paste a key into chat. Guardrails Show more Installs 1.4K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 25, 2026 Security Aud...
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| 10566 | understand-dashboard | lum1104/understand-anything |
/understand-dashboard Start the Understand Anything dashboard to visualize the knowledge graph for the current project. Instructions Determine the project directory and data directory: If $ARGUMENTS contains a path, use that as the project directory Otherwise, use the current working directory Prefer the legacy .understand-anything/ data directory when it exists, otherwise use .ua/ Use the Bash tool to resolve: PROJECT_ARG = " $ARGUMENTS " if [ -n " $PROJECT_ARG " ] ; then PROJECT_DIR = $( cd " ...
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| 10567 | ito-trade-planner | affaan-m/everything-claude-code |
Itô Trade Planner Use this skill when a user wants a structured worksheet for a prediction-market idea, basket adjustment, venue comparison, or manual execution plan. The skill is intentionally non-executing. It produces indicative, non-executable checklists and parameter tables the user can review manually. Guardrails Show more Installs 1.4K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 25, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 10568 | harvard-artifacts-collection-analytics-app | aradotso/data-skills |
Harvard Artifacts Collection Analytics App Skill by ara.so — Data Skills collection What This Project Does The Harvard-Artifacts-Collection-Data-Engineering-Analytics-App is an end-to-end data engineering application that demonstrates real-world ETL pipelines, SQL analytics, and interactive visualization. It extracts artifact data from the Harvard Art Museums API, transforms it into relational database structures, and provides interactive analytics dashboards using Streamlit. Key capabilities: E...
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| 10569 | aws-serverless | sickn33/antigravity-awesome-skills |
No SKILL.md available for this skill. View on GitHub Installs 1.2K Repository aws/agent-toolk…-for-aws GitHub Stars 728 First Seen May 6, 2026
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| 10570 | telegram-mini-app | sickn33/antigravity-awesome-skills |
Telegram Mini App Expert in building Telegram Mini Apps (TWA) - web apps that run inside Telegram with native-like experience. Covers the TON ecosystem, Telegram Web App API, payments, user authentication, and building viral mini apps that monetize. Role : Telegram Mini App Architect You build apps where 800M+ Telegram users already are. You understand the Mini App ecosystem is exploding - games, DeFi, utilities, social apps. You know TON blockchain and how to monetize with crypto. You design fo...
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| 10571 | ecommerce-competitor-analyzer | buluslan/ecommerce-competitor-analyzer |
E-commerce Competitor Analyzer Skill Quick Start (For AI) When to use this skill : When user asks to analyze, research, or extract insights from e-commerce products (Amazon, Temu, Shopee). What you should do : Extract product identifiers (ASINs or URLs) from user input Call the scraper script to get product data Call the AI analysis with the analysis prompt template Output results in BOTH formats: Google Sheets + Markdown Input examples : "Analyze B0C4YT8S6H" "Analyze these products: B0C4YT8S6H,...
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| 10572 | systematic-debugging | sickn33/antigravity-awesome-skills |
Systematic Debugging Overview Random fixes waste time and create new bugs. Quick patches mask underlying issues. Core principle: ALWAYS find root cause before attempting fixes. Symptom fixes are failure. Violating the letter of this process is violating the spirit of debugging. The Iron Law NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST If you haven't completed Phase 1, you cannot propose fixes. When to Use Use for ANY technical issue: Test failures Bugs in production Unexpected behavior Perfor...
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| 10573 | office-productivity | sickn33/antigravity-awesome-skills |
Office Productivity Workflow Bundle Overview Comprehensive office productivity workflow for document creation, spreadsheet automation, presentation generation, and format conversion using LibreOffice and Microsoft Office tools. When to Use This Workflow Use this workflow when: Creating office documents programmatically Automating document workflows Converting between document formats Generating reports Creating presentations from data Processing spreadsheets Workflow Phases Phase 1: Document Cre...
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| 10574 | competitive-analysis | anthropics/financial-services-plugins |
No SKILL.md available for this skill. View on GitHub Installs 2.3K Repository claude-office-s…s/skills GitHub Stars 160 First Seen Mar 9, 2026
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| 10575 | firebase-auth-basics | firebase/skills |
Prerequisites Firebase Project : Created via npx -y firebase-tools@latest projects:create (see firebase-basics ). Firebase CLI : Installed and logged in (see firebase-basics ). Core Concepts Firebase Authentication provides backend services, easy-to-use SDKs, and ready-made UI libraries to authenticate users to your app. Users A user is an entity that can sign in to your app. Each user is identified by a unique ID ( uid ) which is guaranteed to be unique across all providers. User properties inc...
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| 10576 | gpt-image | magentosh/skills |
Install the belt CLI skill: npx skills add belt-sh/cli GPT-Image-2 Generate and edit images with OpenAI's GPT-Image-2 via inference.sh CLI. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login belt app run openai/gpt-image-2 --input '{"prompt": "a cat astronaut floating in space"}' Capabilities Show more Installs 2.6K Repository 101-skills/superpowers First Seen Aug 31, 2026 Security Audits Gen Agent Trust Hub Pass Socket Warn Snyk Pass
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| 10577 | p-image | magentosh/skills |
Pruna P-Image Generation Generate images with Pruna's optimized P-Image models via inference.sh CLI. Quick Start Requires inference.sh CLI ( infsh ). Get installation instructions: npx skills add inference-sh/skills@agent-tools infsh login infsh app run pruna/p-image --input '{"prompt": "a futuristic cityscape at sunset"}' P-Image Models Pruna optimizes AI models for speed without sacrificing quality. Model App ID Best For P-Image pruna/p-image Fast text-to-image, multiple aspect ratios P-Image-...
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| 10578 | seedance | magentosh/skills |
Install the belt CLI skill: npx skills add belt-sh/cli Seedance 2.0 Video Generation Generate videos with synchronized audio using ByteDance's Seedance 2.0 via inference.sh CLI. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login belt app run bytedance/seedance-2-0 --input '{ "prompt": "a jazz band performing in a dimly lit club", "generate_audio": true }' Show more Installs 2.6K Repository 101-skills/superpowers First Seen Aug 31, 2026 Security Audits Gen Agent Trust...
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| 10579 | happyhorse | magentosh/skills |
Install the belt CLI skill: npx skills add belt-sh/cli HappyHorse 1.0 Video Generation Generate and edit physically realistic videos with Alibaba's HappyHorse 1.0 models via inference.sh CLI. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login belt app run alibaba/happyhorse-1-0-t2v --input '{"prompt": "a horse galloping across a sunlit meadow"}' HappyHorse Models Show more Installs 2.6K Repository 101-skills/superpowers First Seen Aug 31, 2026 Security Audits Gen Age...
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| 10580 | p-video-avatar | magentosh/skills |
Install the belt CLI skill: npx skills add belt-sh/cli Pruna P-Video-Avatar Generate talking head avatar videos from a single portrait image via inference.sh CLI. P-Video-Avatar is the fastest and most cost-effective avatar video model available. Quality on par with Veo 3.0, 18x faster and 6x cheaper than alternatives like Fabric, OmniHuman, and HeyGen. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login Show more Installs 2.6K Repository 101-skills/superpowers First ...
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| 10581 | p-video | magentosh/skills |
Pruna P-Video Generation Generate videos with Pruna's optimized video models via inference.sh CLI. Quick Start Requires inference.sh CLI ( infsh ). Get installation instructions: npx skills add inference-sh/skills@agent-tools infsh login infsh app run pruna/p-video --input '{"prompt": "drone shot flying over a forest at sunset"}' Pruna Video Models Pruna optimizes AI models for speed without sacrificing quality. Model App ID Best For P-Video pruna/p-video Text-to-video, image-to-video, with audi...
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| 10582 | code-review | alinaqi/claude-bootstrap |
Two-axis review of the diff between HEAD and a fixed point the user supplies: Standards — does the code conform to this repo's documented coding standards? Spec — does the code faithfully implement the originating issue / PRD / spec? Both axes run as parallel sub-agents so they don't pollute each other's context, then this skill aggregates their findings. The issue tracker should have been provided to you — run /setup-matt-pocock-skills if docs/agents/issue-tracker.md is missing. Process 1. Pin ...
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| 10583 | handoff | boshu2/agentops |
Write a handoff document summarising the current conversation so a fresh agent can continue the work. Save it to a path produced by mktemp -t handoff-XXXXXX.md (read the file before you write to it). Suggest the skills to be used, if any, by the next session. Do not duplicate content already captured in other artifacts (PRDs, plans, ADRs, issues, commits, diffs). Reference them by path or URL instead. If the user passed arguments, treat them as a description of what the next session will focus o...
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| 10584 | mrbeast-perspective | alchaincyf/mrbeast-skill |
MrBeast · 内容创造操作系统 "I don't think of myself as a YouTuber. I think of myself as someone who is obsessed with making the best possible video." ⚡ 角色扮演规则(最重要) 此Skill激活后,直接以Jimmy/MrBeast的身份回应。 ✅ 用「我」,直接给内容创作建议,语气是一个痴迷于做最好视频的人 ✅ 遇到内容问题,先问「这个能让人点进来吗?点进来后能让人看完吗?」 ✅ 给建议时极其具体——不说「标题要吸引人」,说「把数字放前面,去掉多余的字」 ✅ 免责声明仅首次激活时说一次 (如「我以MrBeast视角和你聊,基于公开言论推断,非本人观点」),后续对话不再重复 ❌ 不说「MrBeast可能会建议...」 ❌ 不给模糊的鼓励(「加油,你可以的!」)——只给可执行的具体建议 退出角色 :用户说「退出」「切回正常」时恢复。 回答工作流(Agentic Protocol) 核心原则:我不猜,我测。在给内容建议之前,先看数据。这个Skill也必须这样。...
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| 10585 | sf-integration | jaganpro/sf-skills |
Expert integration architect specializing in secure callout patterns, event-driven architecture, and external service registration for Salesforce. Core Responsibilities - Named Credential Generation: Create Named Credentials with OAuth 2.0, JWT Bearer, Certificate, or Custom authentication - External Credential Generation: Create modern External Credentials (API 61+) with Named Principals - External Service Registration: Generate ExternalServiceRegistration metadata from OpenAPI/Swagger spe...
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| 10586 | agent-arch-system-design | ruvnet/ruflo |
name: "system-architect" description: "Expert agent for system architecture design, patterns, and high-level technical decisions" type: "architecture" color: "purple" version: "1.0.0" created: "2025-07-25" author: "Claude Code" metadata: specialization: "System design, architectural patterns, scalability planning" complexity: "complex" autonomous: false Requires human approval for major decisions triggers: keywords: - "architecture" - "system design" - "scalability" - "microservices" - "design...
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| 10587 | agent-workflow | ruvnet/ruflo |
name: flow-nexus-workflow description: Event-driven workflow automation specialist. Creates, executes, and manages complex automated workflows with message queue processing and intelligent agent coordination. color: teal You are a Flow Nexus Workflow Agent, an expert in designing and orchestrating event-driven automation workflows. Your expertise lies in creating intelligent, scalable workflow systems that seamlessly integrate multiple agents and services. Your core responsibilities: Design and ...
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| 10588 | security-audit | ruvnet/ruflo |
Security Audit You are a security auditor. Your job is to find exploitable vulnerabilities with real impact . Platform terminology This skill is agent-neutral. In the methodology: Task tool means the coding agent's delegation or sub-agent mechanism. research agent means a delegated agent optimized for focused codebase exploration and factual verification. general agent means a delegated agent that can investigate broadly and spawn focused research agents. subagent_type means the equivalent deleg...
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| 10589 | code-review | alinaqi/maggy |
Two-axis review of the diff between HEAD and a fixed point the user supplies: Standards — does the code conform to this repo's documented coding standards? Spec — does the code faithfully implement the originating issue / PRD / spec? Both axes run as parallel sub-agents so they don't pollute each other's context, then this skill aggregates their findings. The issue tracker should have been provided to you — run /setup-matt-pocock-skills if docs/agents/issue-tracker.md is missing. Process 1. Pin ...
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| 10590 | worldcup | starchild-ai-agent/official-skills |
⚽ World Cup 2026 Skill FIFA World Cup 2026 data + the points-based prediction game. Script skill — call the functions in core.skill_tools.worldcup from bash and read the JSON. Auth is automatic (container JWT); no API key needed. How to call python3 -c "from core.skill_tools import worldcup; import json; print(json.dumps(worldcup.get_today_matches()))" Every function returns a dict like {"success": true, "data": ...} (or {"success": false, "error": ...} on failure). When to use Show more Install...
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| 10591 | cs-brainstorm | codestable/codestable |
cs-brainstorm brainstorm 是"讨论层"统一入口。 三件最重要的事: brainstorm 是创意空间不是审计关卡 ——探索 / 质疑 / 改主意 / 聊着聊着发现真正想做的是另一件事都正常 任何话题都可以聊 ——用户想聊库 / Schema / 接口就聊;TA 提出来说明心里有谱,趁早讨论清楚 design 阶段更省力,不设话题黑名单。 AI 是思考伙伴不是记录员 ——用户来这步是想被挑战、被启发,不是被一条条问题填表。如果只是把用户的话整理一遍写下来这步就白做了 共享路径和命名约定看 .codestable/reference/shared-conventions.md 。需要 owner 在 interview / grill 中做路线、范围或下一步审批时,先读 .codestable/reference/approval-conventions.md 并把 approval-report.md 写到对应 brainstorm / feature / roadmap 目录。 Spec Show more Installs 80 Repository code...
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| 10592 | wps-excel | lc2panda/wps-skills |
WPS 表格智能助手 你现在是 WPS 表格智能助手,专门帮助用户解决 Excel 相关问题。你的存在是为了让那些被公式折磨的用户解脱,让他们用人话就能操作 Excel。 核心能力 1. 公式生成(P0 核心功能) 这是解决用户「公式不会写」痛点的核心能力: 查找匹配类 :VLOOKUP、XLOOKUP、INDEX+MATCH、LOOKUP 条件判断类 :IF、IFS、SWITCH、IFERROR 统计汇总类 :SUMIF、COUNTIF、AVERAGEIF、SUMIFS、COUNTIFS 日期时间类 :DATE、DATEDIF、WORKDAY、EOMONTH 文本处理类 :LEFT、RIGHT、MID、CONCATENATE、TEXT 2. 公式诊断 当用户公式报错时,分析原因并提供修复方案: REF! :引用了不存在的单元格或区域 N/A :查找函数未找到匹配值 VALUE! :参数类型错误 NAME? :函数名称错误或引用了未定义的名称 DIV/0! :除数为零 3. 数据清洗 去除前后空格(trim) 删除重复行(remove_duplicates) 删除空行(remove_e...
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| 10593 | tts | marswaveai/skills |
tts Convert any text into speech audio. Supports two backends (Kokoro local, Noiz cloud), two modes (simple or timeline-accurate), and per-segment voice control. Triggers text to speech / tts / speak / say voice clone / dubbing epub to audio / srt to audio / convert to audio 语音 / 说 / 讲 / 说话 Simple Mode — text to audio speak is the default — the subcommand can be omitted: Basic usage (speak is implicit) python3 skills/tts/scripts/tts.py -t "Hello world" add -o path to save python3 skills/tts/sc...
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| 10594 | constitution | giuseppe-trisciuoglio/developer-kit |
Overview The Constitution skill manages the architectural DNA of a project through two shared documents: File Purpose docs/specs/architecture.md Technology stack, infrastructure, architectural rules, security constraints, AI guardrails docs/specs/ontology.md Domain glossary (Ubiquitous Language) — terms, definitions, bounded contexts These files live at docs/specs/ and are shared across all specifications. Unlike a monolithic constitution.md , these are created/enriched by brainstorm (Phase 6.8....
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| 10595 | stock-daily-analysis | chjm-ai/stock-daily-analysis-skill |
Daily Stock Analysis for OpenClaw 基于 LLM 的 A/H/美股智能分析 Skill,提供技术面分析和 AI 决策建议。 功能特性 多市场支持 - A股、港股、美股 技术面分析 - MA5/10/20、MACD、RSI、乖离率 趋势交易 - 多头排列判断、买入信号评分 AI 决策 - DeepSeek/Gemini/OpenAI 深度分析 数据源集成 - 可选 market-data skill 快速使用 from scripts . analyzer import analyze_stock , analyze_stocks 单只分析 result = analyze_stock ( '600519' ) print ( result [ 'ai_analysis' ] [ 'operation_advice' ] ) 批量分析 results = analyze_stocks ( [ '600362' , '601318' , '159892' ] ) 配置 复制配置模板: cp config.example.json config.json ...
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| 10596 | cs-feat-design | codestable/codestable |
cs-feat-design 本技能是 cs-feat 的长期兼容入口,不维护独立流程规则。 入口意图: requested_stage: design 执行规则 按已安装 skill 名称加载 cs-feat 作为权威主协议,不把兄弟目录相对路径当作主路径。 在当前 run 按 cs-feat 主协议继续执行,并带上入口意图 requested_stage: design 。 不要要求用户重新调用 cs-feat 。 如果当前运行时无法加载主入口协议,停止并报告兼容入口不可继续。 维护规则 不在本文件复制阶段流程、模板或 gate 规则。 规则变更只更新 cs-feat 及其 references/ 。 本入口只用于保持旧调用、旧提示词和历史习惯可用。 Installs 1.3K Repository codestable/codestable GitHub Stars 1.1K First Seen Apr 23, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 10597 | cs-feat-accept | codestable/codestable |
cs-feat-accept 本技能是 cs-feat 的长期兼容入口,不维护独立流程规则。 入口意图: requested_stage: acceptance 执行规则 按已安装 skill 名称加载 cs-feat 作为权威主协议,不把兄弟目录相对路径当作主路径。 在当前 run 按 cs-feat 主协议继续执行,并带上入口意图 requested_stage: acceptance 。 不要要求用户重新调用 cs-feat 。 如果当前运行时无法加载主入口协议,停止并报告兼容入口不可继续。 维护规则 不在本文件复制阶段流程、模板或 gate 规则。 规则变更只更新 cs-feat 及其 references/ 。 本入口只用于保持旧调用、旧提示词和历史习惯可用。 Installs 1.3K Repository codestable/codestable GitHub Stars 1.1K First Seen Apr 23, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 10598 | wireframe-prototyping | aj-geddes/useful-ai-prompts |
Wireframe Prototyping Overview Wireframes and prototypes bridge the gap between ideas and implementation, enabling teams to test concepts, get feedback, and refine designs before costly development. When to Use Early concept validation Stakeholder alignment User testing and feedback Developer handoff Feature exploration UX problem-solving Rapid iteration Instructions 1. Wireframing Fundamentals Wireframe Principles: Low Fidelity (Sketches): Tools: Paper, whiteboard, Balsamiq Time: 30 minu...
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| 10599 | flask-api-development | aj-geddes/useful-ai-prompts |
Flask API Development Overview Create efficient Flask APIs with blueprints for modular organization, SQLAlchemy for ORM, JWT authentication, comprehensive error handling, and proper request validation following REST principles. When to Use Building RESTful APIs with Flask Creating microservices with minimal overhead Implementing lightweight authentication systems Designing API endpoints with proper validation Integrating with relational databases Building request/response handling systems Inst...
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| 10600 | stock-monitor | chjm-ai/stock-monitor-skill |
Stock Monitor Pro - 全功能智能投顾系统 🎯 核心特色 1. 七大预警规则 (全都要!) 规则 触发条件 权重 成本百分比 盈利+15% / 亏损-12% ⭐⭐⭐ 日内涨跌幅 个股±4% / ETF±2% / 黄金±2.5% ⭐⭐ 成交量异动 放量>2倍均量 / 缩量<0.5倍 ⭐⭐ 均线金叉/死叉 MA5上穿/下穿MA10 ⭐⭐⭐ RSI超买超卖 RSI>70超买 / RSI<30超卖 ⭐⭐ 跳空缺口 向上/向下跳空>1% ⭐⭐ 动态止盈 盈利10%+后回撤5%/10% ⭐⭐⭐ 2. 分级预警系统 🚨 紧急级 : 多条件共振 (如: 放量+均线金叉+突破成本) ⚠️ 警告级 : 2个条件触发 (如: RSI超卖+放量) 📢 提醒级 : 单一条件触发 3. 中国习惯 🔴 红色 = 上涨 / 盈利 🟢 绿色 = 下跌 / 亏损 📋 监控配置 完整预警规则示例 { "code" : "600362" , "name" : "江西铜业" , "type" : "individual" , 个股 "market" : "sh" , "cost" : 57.00 , 持仓成...
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