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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 8951 | tanstack-ai | tanstack-skills/tanstack-skills |
Overview TanStack AI is a modular, provider-agnostic AI SDK with tree-shakeable adapters for OpenAI, Anthropic, Gemini, Ollama, and more. It provides streaming-first text generation, tool calling with approval workflows, structured output with Zod schemas, multimodal content support, and React hooks for chat/completion UIs. Core: @tanstack/ai Vanilla Client: @tanstack/ai-client (framework-agnostic) React: @tanstack/ai-react Solid: @tanstack/ai-solid Adapters: @tanstack/ai-openai , @tanstack/ai-a...
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| 8952 | data-exploration | anthropics/knowledge-work-plugins |
Data Exploration Skill Systematic methodology for profiling datasets, assessing data quality, discovering patterns, and understanding schemas. Data Profiling Methodology Phase 1: Structural Understanding Before analyzing any data, understand its structure: Table-level questions: How many rows and columns? What is the grain (one row per what)? What is the primary key? Is it unique? When was the data last updated? How far back does the data go? Column classification: Categorize each column as one ...
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| 8953 | pdf-vision-reader | childbamboo/claude-code-marketplace-sample |
PDF Vision Reader 図表が多い PDF を画像化して、Claude の vision 機能で内容を解析・Markdown 化するスキルです。 クイックスタート 基本的な使い方 1. PDF を画像に変換 wsl python3 scripts/pdf_to_images.py "/mnt/c/path/to/file.pdf" 2. 各画像を Read ツールで読み込んで解析 3. Markdown 形式でまとめる 前提条件 必要なパッケージ: Python パッケージ wsl pip3 install pdf2image Pillow システムパッケージ (poppler) wsl sudo apt-get update wsl sudo apt-get install -y poppler-utils ワークフロー ステップ1: PDF を画像に変換 wsl python3 scripts/pdf_to_images.py "/mnt/c/path/to/document.pdf" これにより document_pages/ ディレクトリが作成され、各ペー...
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| 8954 | vue2 | teachingai/full-stack-skills |
Vue 2 开发指南 概述 本技能提供 Vue 2.x 框架的完整开发指南,包括 Options API、组件系统、路由管理、状态管理(Vuex)、生命周期等核心概念和最佳实践。 核心特性 1. Options API Vue 2 使用 Options API 组织组件代码。 基本结构: <template> <div> <p>{{ message }}</p> <p>Count: {{ count }}</p> <button @click="increment">Increment</button> </div> </template> <script> export default { name: 'Counter', data() { return { message: 'Hello Vue 2', count: 0 } }, computed: { doubleCount() { return this.count * 2 } }, watc...
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| 8955 | creating-dashboards | ancoleman/ai-design-components |
This skill enables the creation of sophisticated dashboard interfaces that aggregate and present data through coordinated widgets including KPI cards, charts, tables, and filters. Dashboards serve as centralized command centers for data-driven decision making, combining multiple component types from other skills (data-viz, tables, design-tokens) into unified analytics experiences with real-time updates, responsive layouts, and interactive filtering. When to Use Activate this skill when: - Bu...
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| 8956 | pandoc | plinde/claude-plugins |
Pandoc Document Conversion Skill Convert documents between formats using pandoc, the universal document converter. Prerequisites Check if pandoc is installed pandoc --version Install via Homebrew if needed brew install pandoc Common Conversions Markdown to Word (.docx) Basic conversion pandoc input.md -o output.docx With table of contents pandoc input.md --toc -o output.docx With custom reference doc (for styling) pandoc input.md --reference-doc = template.docx -o output.docx Standalone wi...
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| 8957 | senior-fullstack | alirezarezvani/claude-skills |
Senior Fullstack Complete toolkit for senior fullstack with modern tools and best practices. Quick Start Main Capabilities This skill provides three core capabilities through automated scripts: Script 1: Fullstack Scaffolder python scripts/fullstack_scaffolder.py [ options ] Script 2: Project Scaffolder python scripts/project_scaffolder.py [ options ] Script 3: Code Quality Analyzer python scripts/code_quality_analyzer.py [ options ] Core Capabilities 1. Fullstack Scaffolder Automated tool fo...
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| 8958 | railway-domain | davila7/claude-code-templates |
Railway Domain Management Add, view, or remove domains for Railway services. When to Use User asks to "add a domain", "generate a domain", "get a URL" User wants to add a custom domain User asks "what's the URL for my service" User wants to remove a domain Add Railway Domain Generate a railway-provided domain (max 1 per service): railway domain --json For a specific service: railway domain --json --service backend Response Returns the generated domain URL. Service must have a deployment...
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| 8959 | free-tool-strategy | davila7/claude-code-templates |
Free Tool Strategy (Engineering as Marketing) You are an expert in engineering-as-marketing strategy. Your goal is to help plan and evaluate free tools that generate leads, attract organic traffic, and build brand awareness. Initial Assessment 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 speci...
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| 8960 | anndata | davila7/claude-code-templates |
AnnData Overview AnnData is a Python package for handling annotated data matrices, storing experimental measurements (X) alongside observation metadata (obs), variable metadata (var), and multi-dimensional annotations (obsm, varm, obsp, varp, uns). Originally designed for single-cell genomics through Scanpy, it now serves as a general-purpose framework for any annotated data requiring efficient storage, manipulation, and analysis. When to Use This Skill Use this skill when: Creating, reading...
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| 8961 | regulatory-affairs-head | davila7/claude-code-templates |
Senior Regulatory Affairs Manager (Head of Regulatory Affairs) Expert-level regulatory affairs leadership for HealthTech and MedTech companies with deep knowledge of global regulatory frameworks, submission strategies, and cross-functional team coordination. Core Competencies 1. Strategic Regulatory Planning Develop comprehensive regulatory strategies that align with business objectives and ensure successful market access. Key Activities: Regulatory pathway analysis and optimization Market acces...
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| 8962 | talent-acquisition | borghei/claude-skills |
Talent Acquisition Expert-level talent acquisition for building high-performing teams. Core Competencies Recruiting strategy Candidate sourcing Interview design Offer management Employer branding Hiring analytics DEI in hiring Candidate experience Recruiting Framework Hiring Funnel SOURCING → SCREENING → INTERVIEWING → OFFER → ONBOARDING │ │ │ │ │ ▼ ▼ ▼ ▼ ▼ Inbound Resume Phone Extend 3...
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| 8963 | vite | mindrally/skills |
Vite Based on Vite 8 beta (Rolldown-powered). Vite 8 uses Rolldown bundler and Oxc transformer. Vite is a next-generation frontend build tool with fast dev server (native ESM + HMR) and optimized production builds. Preferences Use TypeScript: prefer vite.config.ts Always use ESM, avoid CommonJS Core Topic Description Reference Configuration vite.config.ts , defineConfig , conditional configs, loadEnv core-config Features import.meta.glob , asset queries ( ?raw , ?url ), import.meta.env , HMR API...
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| 8964 | jest | mindrally/skills |
Jest Testing Best Practices You are an expert in JavaScript, TypeScript, and Jest testing. Core Principles Test Structure Use descriptive test names that clearly explain expected behavior Organize tests using describe blocks for logical grouping Follow the Arrange-Act-Assert (AAA) pattern in each test Keep tests focused on a single behavior or outcome Setup and Teardown Use beforeEach and afterEach for test isolation Use beforeAll and afterAll for expensive setup that can be shared Clean up an...
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| 8965 | scikit-learn-best-practices | mindrally/skills |
Scikit-learn Best Practices Expert guidelines for scikit-learn development, focusing on machine learning workflows, model development, evaluation, and best practices. Code Style and Structure Write concise, technical responses with accurate Python examples Prioritize reproducibility in machine learning workflows Use functional programming for data pipelines Use object-oriented programming for custom estimators Prefer vectorized operations over explicit loops Follow PEP 8 style guidelines Machi...
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| 8966 | claude-code-guide | sickn33/antigravity-awesome-skills |
Claude Code Guide Purpose To provide a comprehensive reference for configuring and using Claude Code (the agentic coding tool) to its full potential. This skill synthesizes best practices, configuration templates, and advanced usage patterns. Configuration ( CLAUDE.md ) When starting a new project, create a CLAUDE.md file in the root directory to guide the agent. Template (General) Project Guidelines Commands - Run app: `npm run dev` - Test: `npm test` - Build: `npm run build` Code Style - Us...
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| 8967 | context-degradation | sickn33/antigravity-awesome-skills |
Context Degradation Patterns Language models exhibit predictable degradation patterns as context length increases. Understanding these patterns is essential for diagnosing failures and designing resilient systems. Context degradation is not a binary state but a continuum of performance degradation that manifests in several distinct ways. When to Activate Activate this skill when: Agent performance degrades unexpectedly during long conversations Debugging cases where agents produce incorrect or i...
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| 8968 | firmware-analyst | sickn33/antigravity-awesome-skills |
Download from vendor wget http://vendor.com/firmware/update.bin Extract from device via debug interface UART console access screen /dev/ttyUSB0 115200 Copy firmware partition dd if=/dev/mtd0 of=/tmp/firmware.bin Extract via network protocols TFTP during boot HTTP/FTP from device web interface Hardware Methods UART access - Serial console connection JTAG/SWD - Debug interface for memory access SPI flash dump - Direct chip reading NAND/NOR dump - Flash memory extraction...
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| 8969 | typescript | gentleman-programming/gentleman-skills |
TypeScript Code Style Guide Types and Type Safety Avoid explicit type annotations when TypeScript can infer Avoid implicitly any ; explicitly type when necessary Use accurate types: prefer Record<PropertyKey, unknown> over object or any Prefer interface for object shapes (e.g., React props); use type for unions/intersections Prefer as const satisfies XyzInterface over plain as const Prefer @ts-expect-error over @ts-ignore over as any Avoid meaningless null/undefined parameters; design strict fun...
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| 8970 | cn-stock-price | nohumanera/cn-stock-price |
股票价格查询工具 一个简单的中国A股实时股票价格查询脚本。 功能 查询实时股票价格 支持单只或多只股票同时查询 提供默认股票列表(主要指数+个股) Example 查询默认股票列表 python ./scripts/check.py 查询指定股票(支持多只) python ./scripts/check.py sh600519 python ./scripts/check.py sh600036 sz002352 Dependencies requests
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| 8971 | inkos | narcooo/inkos |
InkOS - Autonomous Novel Writing Agent InkOS is a CLI tool for autonomous fiction writing powered by LLM agents. It orchestrates a multi-agent pipeline (Radar → Planner → Composer → Architect → Writer → Observer → Reflector → Normalizer → Auditor → Reviser) to generate, audit, and revise novel content with zero human intervention per chapter. The pipeline operates in three phases: Phase 1 (Creative Writing, temp 0.7) : Planner generates chapter intent with hook agenda, Composer selects relevant ...
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| 8972 | chapter-drafter | jwynia/agent-skills |
Chapter Drafter: Orchestrator Skill You autonomously draft and polish chapter scenes through iterative editorial passes. Given an outline, you produce polished first-draft prose by drafting each scene, evaluating it against editorial criteria, and revising until quality thresholds are met. Core Principle Orchestration is iteration with hierarchy. Fix structure before character, character before originality, originality before dialogue, dialogue before prose. Don't polish what might be cut; do...
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| 8973 | sensitivity-check | jwynia/agent-skills |
Sensitivity Check: Evaluative Skill You evaluate representation accuracy and flag potential harm concerns in fiction. Your role is to identify issues that might cause harm to readers from affected communities, while respecting authorial intent and providing constructive alternatives. Core Principle Good intentions don't prevent harmful impact. The goal is not to police creativity but to help writers create more accurate, respectful, and authentic representation. A sensitivity check asks: "Ho...
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| 8974 | code-deduplication | alinaqi/claude-bootstrap |
Code Deduplication Skill Load with: base.md Purpose: Prevent semantic duplication and code bloat. Maintain a capability index so Claude always knows what exists before writing something new. Core Philosophy ┌─────────────────────────────────────────────────────────────────┐ │ CHECK BEFORE YOU WRITE │ │ ───────────────────────────────────────────────────────────── │ │ AI doesn't copy/paste - it reimplements. │ │ The problem isn...
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| 8975 | typescript | mindrally/skills |
TypeScript Code Style Guide Types and Type Safety Avoid explicit type annotations when TypeScript can infer Avoid implicitly any ; explicitly type when necessary Use accurate types: prefer Record<PropertyKey, unknown> over object or any Prefer interface for object shapes (e.g., React props); use type for unions/intersections Prefer as const satisfies XyzInterface over plain as const Prefer @ts-expect-error over @ts-ignore over as any Avoid meaningless null/undefined parameters; design strict fun...
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| 8976 | eve-project-bootstrap | incept5/eve-skillpacks |
Eve Project Bootstrap Use this flow to connect an existing repo to Eve and get the first deploy running. Set the API Target Get the staging API URL from your admin. Create and use a profile: eve profile create staging --api-url https://api.eh1.incept5.dev eve profile use staging Create Org and Project eve org ensure my-org --slug myorg eve project ensure --name "My App" --slug my-app --repo-url git@github.com:me/my-app.git --branch main URL impact: These slugs determine your deployment URLs and ...
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| 8977 | eve-troubleshooting | incept5/eve-skillpacks |
Eve Troubleshooting Use CLI-first diagnostics. Do not assume cluster access. Quick Triage Checklist eve system health eve auth status eve job list --phase active Common Issues and Fixes Auth Fails or "Not authenticated" eve auth logout eve auth login eve auth status If SSH key is missing, register it with the admin or follow the CLI prompt to fetch from GitHub. Secret Missing / Interpolation Error eve secrets list --project proj_xxx eve secrets set MISSING_KEY "value" --project proj_xxx Verify ....
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| 8978 | eve-deploy-debugging | incept5/eve-skillpacks |
Eve Deploy and Debug Use these steps to deploy and diagnose app issues quickly. Environment Setup Get the staging API URL from your admin. Create and use a profile: eve profile create staging --api-url https://api.eh1.incept5.dev eve profile use staging Infrastructure Change Policy Never run kubectl apply , helm install , or any direct Kubernetes resource creation against shared infrastructure. All infrastructure changes go through Terraform. Use the Eve CLI ( eve env , eve env deploy ) to manag...
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| 8979 | eve-pipelines-workflows | incept5/eve-skillpacks |
Eve Pipelines and Workflows Use these patterns to automate build and deploy actions and invoke workflow jobs. Pipelines (v2 steps) Define pipelines under pipelines in .eve/manifest.yaml . Steps can be action , script , or agent . Use depends_on to control ordering. Built-in actions include build , release , deploy , run , job , create-pr . Run manually: eve pipeline list eve pipeline show <project> <name> eve pipeline run <name> --ref <sha> --env <env> --repo-dir ./my-app Trigger blocks exist in...
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| 8980 | eve-se-index | incept5/eve-skillpacks |
Eve SE Index (Load First) Use this skill as the entry point for Eve SE. It routes to the correct skill for the task. Scope Eve SE is for app developers using Eve to deploy and run their apps. It does not cover operating the Eve platform itself. Quick Routing Need Load this skill Full onboarding (new or existing user) eve-bootstrap Understand Eve CLI primitives eve-cli-primitives Set up a new project from the starter eve-new-project-setup Connect an existing repo to Eve (already authed) eve-proje...
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| 8981 | eve-cli-primitives | incept5/eve-skillpacks |
Eve CLI Primitives Use this skill as the command map for Eve. Keep examples short and concrete. Profiles (API Target + Defaults) Create and use a profile eve profile create staging --api-url https://api.eh1.incept5.dev eve profile use staging Set defaults to avoid repeating flags eve profile set --default-email you@example.com --default-ssh-key ~/.ssh/id_ed25519 eve profile set --org org_xxx --project proj_xxx Inspect current profile eve profile show Authentication eve auth login eve auth sta...
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| 8982 | csv-processor | curiouslearner/devkit |
CSV Processor Skill Parse, transform, and analyze CSV files with advanced data manipulation capabilities. Instructions You are a CSV processing expert. When invoked: Parse CSV Files : Auto-detect delimiters (comma, tab, semicolon, pipe) Handle different encodings (UTF-8, Latin-1, Windows-1252) Process quoted fields and escaped characters Handle multi-line fields correctly Detect and use header rows Transform Data : Filter rows based on conditions Select specific columns Sort and group data Merge...
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| 8983 | oblique-worldbuilding | jwynia/agent-skills |
Oblique Worldbuilding: Documentary Perspective Skill You help writers create worldbuilding quotes and epigraphs that enhance chapters through perspective-driven documentation rather than direct commentary. The power lies in the documenter's limited vantage point, motivated reasoning, and systematic blindness. Core Principle Every documentary voice reveals the world through what it cannot afford to see. The goal isn't temporal distance from events, but perspectival limitation. A quote from th...
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| 8984 | model deployment | aj-geddes/useful-ai-prompts |
Model Deployment Overview Model deployment is the process of taking a trained machine learning model and making it available for production use through APIs, web services, or batch processing systems. When to Use When productionizing trained models for real-world inference and predictions When building REST APIs or web services for model serving When scaling predictions to serve multiple users or applications When deploying models to cloud platforms, edge devices, or containers When implementing...
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| 8985 | eval-audit | hamelsmu/evals-skills |
Eval Audit Inspect an LLM eval pipeline and produce a prioritized list of problems with concrete next steps. Overview Gather eval artifacts: traces, evaluator configs, judge prompts, labeled data, metrics dashboards Run diagnostic checks across six areas Produce a findings report ordered by impact, with each finding linking to a fix Prerequisites Access to eval artifacts (traces, evaluator configs, judge prompts, labeled data) via an observability MCP server or local files. If none exist, skip t...
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| 8986 | security-patterns | yonatangross/orchestkit |
Security Patterns Comprehensive security patterns for building hardened applications. Each category has individual rule files in rules/ loaded on-demand. Quick Reference Category Rules Impact When to Use Authentication 3 CRITICAL JWT tokens, OAuth 2.1/PKCE, RBAC/permissions Defense-in-Depth 2 CRITICAL Multi-layer security, zero-trust architecture Input Validation 3 HIGH Schema validation (Zod/Pydantic), output encoding, file uploads OWASP Top 10 2 CRITICAL Injection prevention, broken authentica...
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| 8987 | trace | yeachan-heo/oh-my-claudecode |
Trace Skill Quick Ref: Trace design decisions through CASS sessions, handoffs, git, and artifacts. Output: .agents/research/YYYY-MM-DD-trace-*.md YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it. When to Use Trace HOW architectural decisions evolved Find WHEN a concept was introduced Understand WHY something was designed a certain way Build provenance chain for design decisions For knowledge artifact lineage (learnings, patterns, tiers), use /provenance instead. CLI dependencies: cass (se...
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| 8988 | emdash-cms | aradotso/trending-skills |
EmDash CMS Skill by ara.so — Daily 2026 Skills collection. EmDash is a full-stack TypeScript CMS built on Astro and Cloudflare. It is the spiritual successor to WordPress: extensible, developer-friendly, and powered by a plugin system that runs plugins in sandboxed Worker isolates rather than with full filesystem/database access. EmDash stores rich text as Portable Text (structured JSON) rather than HTML, supports passkey-first auth, and runs on Cloudflare (D1 + R2 + Workers) or any Node.js serv...
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| 8989 | go-functions | cxuu/golang-skills |
Go Function Design When this skill does NOT apply : For functional options constructors ( WithTimeout , WithLogger ), see go-functional-options . For error return conventions, see go-error-handling . For naming functions and methods, see go-naming . Function Grouping and Ordering Organize functions in a file by these rules: Functions sorted in rough call order Functions grouped by receiver Exported functions appear first, after struct / const / var definitions NewXxx / newXxx constructors appear...
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| 8990 | server-side-rendering | patternsdev/skills |
Server-Side Rendering Overview Build server-side rendered applications using modern template engines, view layers, and data-driven HTML generation with caching, streaming, and performance optimization across Python, Node.js, and Ruby frameworks. When to Use Building traditional web applications Rendering HTML on the server Implementing SEO-friendly applications Creating real-time updating pages Building admin dashboards Implementing email templates Instructions 1. Flask with Jinja2 Templates ...
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| 8991 | knowledge-extractor | rysweet/amplihack |
Knowledge Extractor Skill Purpose This skill automatically extracts, synthesizes, and preserves knowledge from conversations, debugging sessions, failed attempts, and solved problems. It converts ephemeral interactions into persistent organizational knowledge that improves future performance. When to Use This Skill Session End Analysis: Extract learnings before session context is lost After Complex Debugging: Capture root causes and solutions while fresh Following Failed Attempts: Document wha...
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| 8992 | autonomous-trading | senpi-ai/senpi-skills |
Autonomous Trading v6 Give your agent a budget, a target, and a deadline — then let it trade. The agent creates a strategy wallet, scans for opportunities, opens positions, protects profits with DSL, and enforces risk controls. Skill Attribution When creating a strategy, include skill_name and skill_version in the call. See references/skill-attribution.md for details. Prerequisites Install these companion skills first: dsl-dynamic-stop-loss — trailing stops, auto-closing, per-tier retrace opport...
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| 8993 | react-three-fiber | anthemflynn/ccmp |
@json-render/react-three-fiber React Three Fiber renderer for json-render. 19 built-in 3D components. Two Entry Points Entry Point Exports Use For @json-render/react-three-fiber/catalog threeComponentDefinitions Catalog schemas (no R3F dependency, safe for server) @json-render/react-three-fiber threeComponents , ThreeRenderer , ThreeCanvas , schemas R3F implementations and renderer Usage Pattern Pick the 3D components you need from the standard definitions: import { defineCatalog } from "@json-r...
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| 8994 | git-clean-gone-branches | everyinc/compound-engineering-plugin |
Clean Gone Branches Delete local branches whose remote tracking branch has been deleted, including any associated worktrees. Workflow Step 1: Discover gone branches Run the discovery script to fetch the latest remote state and identify gone branches: bash scripts/clean-gone scripts/clean-gone The script runs git fetch --prune first, then parses git branch -vv for branches marked : gone] . If the script outputs __NONE__ , report that no stale branches were found and stop. Step 2: Present branches...
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| 8995 | railway-metrics | davila7/claude-code-templates |
Railway Service Metrics Query resource usage metrics for Railway services. When to Use User asks "how much memory is my service using?" User asks about CPU usage, network traffic, disk usage User wants to debug performance issues User asks "is my service healthy?" (combine with railway-service skill) Prerequisites Get environmentId and serviceId from linked project: railway status --json Extract: environment.id → environmentId service.id → serviceId (optional - omit to get all services) M...
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| 8996 | kegg-database | davila7/claude-code-templates |
KEGG Database Overview KEGG (Kyoto Encyclopedia of Genes and Genomes) is a comprehensive bioinformatics resource for biological pathway analysis and molecular interaction networks. Important: KEGG API is made available only for academic use by academic users. When to Use This Skill This skill should be used when querying pathways, genes, compounds, enzymes, diseases, and drugs across multiple organisms using KEGG's REST API. Quick Start The skill provides: Python helper functions (scripts...
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| 8997 | slack-gif-creator | davila7/claude-code-templates |
Slack GIF Creator A toolkit providing utilities and knowledge for creating animated GIFs optimized for Slack. Slack Requirements Dimensions: Emoji GIFs: 128x128 (recommended) Message GIFs: 480x480 Parameters: FPS: 10-30 (lower is smaller file size) Colors: 48-128 (fewer = smaller file size) Duration: Keep under 3 seconds for emoji GIFs Core Workflow from core . gif_builder import GIFBuilder from PIL import Image , ImageDraw 1. Create builder builder = GIFBuilder ( width = 128 , height = 128 , f...
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| 8998 | clinpgx-database | davila7/claude-code-templates |
ClinPGx Database Overview ClinPGx (Clinical Pharmacogenomics Database) is a comprehensive resource for clinical pharmacogenomics information, successor to PharmGKB. It consolidates data from PharmGKB, CPIC, and PharmCAT, providing curated information on how genetic variation affects medication response. Access gene-drug pairs, clinical guidelines, allele functions, and drug labels for precision medicine applications. When to Use This Skill This skill should be used when: Gene-drug interactio...
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| 8999 | marketing-analyst | borghei/claude-skills |
Marketing Analyst Expert-level marketing analytics for data-driven decisions. Core Competencies Campaign performance analysis Attribution modeling Marketing mix modeling ROI measurement Customer analytics Channel optimization Forecasting Reporting and visualization Marketing Metrics Framework Acquisition Metrics Metric Formula Benchmark CPL (Cost per Lead) Spend / Leads Varies by industry CAC (Customer Acquisition Cost) S&M Spend / New Customers LTV/CAC > 3:1 CPA (Cost per Acquisition) Spend /...
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| 9000 | openai-knowledge | openai/openai-agents-python |
OpenAI Knowledge Overview Use the OpenAI Developer Documentation MCP server to search and fetch exact docs (markdown), then base your answer on that text instead of guessing. Workflow 1) Check whether the Docs MCP server is available If the mcp__openaiDeveloperDocs__* tools are available, use them. If you are unsure, run codex mcp list and check for openaiDeveloperDocs. 2) Use MCP tools to pull exact docs Search first, then fetch the specific page or pages. mcp__openaiDeveloperDocs__search_...
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