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24,518
总 Skills
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# Skill 仓库 描述 安装量
8801 linkedin-writer ognjengt/founder-skills
LinkedIn Writer Purpose Generate 2 viral LinkedIn posts in different proven formats, matched to the founder's voice, using battle-tested templates and patterns that drive engagement on LinkedIn. Execution Logic Check $ARGUMENTS first to determine execution mode: If $ARGUMENTS is empty or not provided: Respond with: "linkedin-writer loaded, proceed with your topic or idea" Then wait for the user to provide their requirements in the next message. If $ARGUMENTS contains content: Proceed immediately...
 576
8802 memory yonatangross/orchestkit
Memory - Read & Access Operations Unified read-side memory skill with subcommands for searching, loading, syncing, history, and visualization. Cross-session read strategy (Opus 4.7 / CC 2.1.111+): Opus 4.7 reads filesystem memory more reliably than 4.6. When loading context at session start, prefer the layered read order: ~/.claude/projects/<slug>/memory/MEMORY.md (durable index — load first, always) .claude/chain/state.json + most recent NN-*.json handoff (session continuation) MCP mcp__memory_...
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8803 attach-review-to-pr neolabhq/context-engineering-kit
How to Attach Line-Specific Review Comments to Pull Requests This guide explains how to add line-specific review comments to pull requests using the GitHub CLI ( gh ) API or mcp__github_inline_comment__create_inline_comment if it not available, similar to how the GitHub UI allows commenting on specific lines of code. Preferred Approach: Using MCP GitHub Tools If available , use the mcp__github_inline_comment__create_inline_comment MCP tool for posting line-specific inline comments on pull reques...
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8804 datamol k-dense-ai/scientific-agent-skills
Datamol Cheminformatics Skill Overview Datamol is a Python library that provides a lightweight, Pythonic abstraction layer over RDKit for molecular cheminformatics. Simplify complex molecular operations with sensible defaults, efficient parallelization, and modern I/O capabilities. All molecular objects are native rdkit.Chem.Mol instances, ensuring full compatibility with the RDKit ecosystem. Key capabilities : Molecular format conversion (SMILES, SELFIES, InChI) Structure standardization and sa...
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8805 deepchem k-dense-ai/scientific-agent-skills
DeepChem Overview DeepChem is a comprehensive Python library for applying machine learning to chemistry, materials science, and biology. Enable molecular property prediction, drug discovery, materials design, and biomolecule analysis through specialized neural networks, molecular featurization methods, and pretrained models. When to Use This Skill This skill should be used when: Loading and processing molecular data (SMILES strings, SDF files, protein sequences) Predicting molecular properties (...
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8806 web-security-testing sickn33/antigravity-awesome-skills
Web Security Testing Workflow Overview Specialized workflow for testing web applications against OWASP Top 10 vulnerabilities including injection attacks, XSS, broken authentication, and access control issues. When to Use This Workflow Use this workflow when: Testing web application security Performing OWASP Top 10 assessment Conducting penetration tests Validating security controls Bug bounty hunting Workflow Phases Phase 1: Reconnaissance Skills to Invoke scanning-tools - Security scanning top...
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8807 arize-compliance-audit arize-ai/arize-skills
Arize Compliance Audit Skill Use this skill when the user wants to audit their AI agent or LLM application for regulatory compliance . The skill scans the codebase for compliance gaps, cross-references Arize instrumentation for audit trail coverage, and produces a tailored checklist with optional remediation. Triggers: "audit my app for compliance", "EU AI Act requirements", "NIST AI RMF checklist", "GDPR for AI", "is my AI app compliant", "compliance checklist", "regulatory audit", "ISO 42001",...
 576
8808 longbridge-valuation longbridge/skills
longbridge-valuation Prompt-only analysis skill. Orchestrates Longbridge CLI commands to answer "is X expensive?" across three dimensions: current snapshot, historical percentile, industry context. Response language : match the user's input language — Simplified Chinese / Traditional Chinese / English. When to use "NVDA 估值贵不贵" , "is NVDA expensive?" , "NVDA 估值貴不貴" "茅台是不是被低估了" , "is Maotai undervalued?" "700 估值在历史什么位置" , "700 historical PE percentile" "宁德时代相对行业贵多少" , "how much does CATL trade abo...
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8809 local-action-verification google-labs-code/jules-skills
Local Action Verification with act You are setting up a repository so that Jules (or any agent) can run GitHub Actions workflows locally using act to verify code changes pass CI before pushing. What You're Setting Up Two scripts and an agents.md section that enable local CI verification: install-act.sh — Installs act if missing (platform-aware, sudo fallback) run-act.sh — Runs act in the background with log polling to avoid agent timeouts AGENTS.md section — Instructions Jules reads to know how ...
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8810 react-refactor pproenca/dot-skills
React Refactor Best Practices Architectural refactoring guide for React applications. Contains 40 rules across 7 categories, prioritized by impact from critical (component and state architecture) to incremental (refactoring safety). When to Apply Refactoring existing React codebases or planning large-scale restructuring Reviewing PRs for architectural issues and code smells Decomposing oversized components into focused units Extracting reusable hooks from component logic Improving testability of...
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8811 tailwindcss-development laravel/boost
Tailwind CSS Development When to Apply Activate this skill when: Adding styles to components or pages Working with responsive design Implementing dark mode Extracting repeated patterns into components Debugging spacing or layout issues Documentation Use search-docs for detailed Tailwind CSS v3 patterns and documentation. Basic Usage Use Tailwind CSS classes to style HTML. Check and follow existing Tailwind conventions in the project before introducing new patterns. Offer to extract repeated ...
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8812 dodo-best-practices dodopayments/skills
Dodo Payments Integration Guide Always consult docs.dodopayments.com for the latest API reference and code examples. Dodo Payments is the all-in-one engine to launch, scale, and monetize worldwide. Designed for SaaS and AI products, it handles payments, billing, subscriptions, and distribution without extra engineering. Quick Reference Environment Variables DODO_PAYMENTS_API_KEY - Your API key from the dashboard DODO_PAYMENTS_WEBHOOK_SECRET - Webhook signing secret for verification API Enviro...
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8813 skill-lookup f/prompts.chat
Workflow Search for skills matching the user's request using search_skills Present results with title, description, author, and file list If the user picks a skill, retrieve it with get_skill to get all files Install by saving files to .claude/skills/{slug}/ and verify the SKILL.md exists Confirm installation and explain what the skill does and when it activates Example search_skills({"query": "code review", "limit": 5, "category": "coding"}) get_skill({"id": "abc123"}) Available Tools Use these...
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8814 cellxgene-census k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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8815 zarr-python k-dense-ai/scientific-agent-skills
Zarr Python Overview Zarr is a Python library for storing large N-dimensional arrays with chunking and compression. Apply this skill for efficient parallel I/O, cloud-native workflows, and seamless integration with NumPy, Dask, and Xarray. Quick Start Installation uv pip install zarr Requires Python 3.11+. For cloud storage support, install additional packages: uv pip install s3fs For S3 uv pip install gcsfs For Google Cloud Storage Show more
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8816 scvi-tools k-dense-ai/scientific-agent-skills
scvi-tools Deep Learning Skill This skill provides guidance for deep learning-based single-cell analysis using scvi-tools, the leading framework for probabilistic models in single-cell genomics. How to Use This Skill Identify the appropriate workflow from the model/workflow tables below Read the corresponding reference file for detailed steps and code Use scripts in scripts/ to avoid rewriting common code For installation or GPU issues, consult references/environment_setup.md For debugging, cons...
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8817 gpt-image-2-style-library freestylefly/awesome-gpt-image-2
GPT-Image2 Style Library Use this skill to turn a user's image-generation intent into a production-ready GPT-Image2 prompt using the awesome-gpt-image-2 style library. Example Output Example request: 用 gpt-image-2-style-library 技能生成城市生命系统图谱 Reference Read references/style-library.md before choosing a template or style. The reference is generated from data/style-library.json in the repository. Prefer the reference over memory when template names, categories, covers, or style tags matter. Workflow...
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8818 content-strategy alirezarezvani/claude-skills
Content Strategy You are a content strategist. Your goal is to help plan content that drives traffic, builds authority, and generates leads by being either searchable, shareable, or both. Before Planning 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. Gather this context (a...
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8819 longbridge-quote longbridge/skills
longbridge-quote Real-time quote, static info, and valuation indices for Longbridge-supported securities (HK / US / A-share / Singapore). Response language : match the user's input language — Simplified Chinese / Traditional Chinese / English. When to use Trigger on prompts asking about: Current price / change / volume — "NVDA 现在多少钱" , "現在股價" , "What's NVDA's price?" Industry / market cap / floats / EPS / BPS — "贵州茅台市值多少" , "茅台屬於什麼行業" , "AAPL EPS" Valuation indices (PE, PB, turnover rate, 5/10-d...
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8820 skill-security-auditor alirezarezvani/claude-skills
Skill Security Auditor Scan and audit AI agent skills for security risks before installation. Produces a clear PASS / WARN / FAIL verdict with findings and remediation guidance. Quick Start Audit a local skill directory python3 scripts/skill_security_auditor.py /path/to/skill-name/ Audit a skill from a git repo python3 scripts/skill_security_auditor.py https://github.com/user/repo --skill skill-name Audit with strict mode (any WARN becomes FAIL) python3 scripts/skill_security_auditor.py /path...
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8821 system-design jwynia/agent-skills
System Design Help design systems and evaluate architectural decisions. Framework 1. Requirements Gathering Functional requirements (what it does) Non-functional requirements (scale, latency, availability, cost) Constraints (team size, timeline, existing tech stack) 2. High-Level Design Component diagram Data flow API contracts Storage choices 3. Deep Dive Data model design API endpoint design (REST, GraphQL, gRPC) Caching strategy Queue/event design Error handling and retry logic 4. Scale and R...
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8822 dead-code parcadei/continuous-claude-v3
Dead Code Detection Find unused functions and dead code using TLDR static analysis. Quick Start Scan entire project tldr dead . Scan specific directory tldr dead src/ Specify entry points (functions to exclude from analysis) tldr dead . --entry main cli test_ Specify language tldr dead . --lang python tldr dead . --lang typescript Output Format Dead code analysis: Total functions: 150 Dead functions: 12 Unused functions: - old_helper (src/utils.py:42) - deprecated_func (src/le...
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8823 diffity-resolve-tree kamranahmedse/diffity
Diffity Resolve Tree Skill You are reading open comments left on repository files via the diffity tree browser and resolving them by making the requested code changes. Arguments thread-id (optional): Resolve a specific thread by ID instead of all open threads. Example: /diffity-resolve-tree abc123 CLI Reference diffity agent list [--status open|resolved|dismissed] [--json] diffity agent comment --file <path> --line <n> [--end-line <n>] --body "<text>" diffity agent resolve <id> [--summary "<text...
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8824 claude-typer vibe-motion/skills
Claude Typer Workflow Extract the text that should be typed in the animation as prompt . Run: skill_dir = "" for base in " ${AGENTS_HOME :- $HOME / .agents} " " ${CLAUDE_HOME :- $HOME / .claude} " " ${CODEX_HOME :- $HOME / .codex} " ; do if [ -d " $base /skills/claude-typer" ] ; then skill_dir = " $base /skills/claude-typer" break fi done [ -n " $skill_dir " ] || { echo "claude-typer skill not found under ~/.agents, ~/.claude, or ~/.codex" ; exit 1 ; } /usr/local/bin/python3 " $skill_dir /script...
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8825 create-agent neolabhq/context-engineering-kit
Build a Modular AI Agent with OpenRouter This skill helps you create a modular AI agent with: Standalone Agent Core - Runs independently, extensible via hooks OpenRouter SDK - Unified access to 300+ language models Optional Ink TUI - Beautiful terminal UI (separate from agent logic) Architecture ┌─────────────────────────────────────────────────────┐ │ Your Application │ ├─────────────────────────────────────────────────────┤ │ ┌─────────────┐ ┌─────────────┐...
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8826 pua-trae tanweai/pua
PUA for Trae — 高能动性治理 Skill 这个 Trae 版只用 SKILL.md 表达行为合约：Trae 可以加载 Skill，但不会自动获得 Claude Code 的 hooks、slash commands、subagents 和 Stop feedback。因此这里把治理边界写成 机械可执行的工作规程 ，而不是靠一句“努力点”。 触发条件 仅在以下场景启用： 用户明确要求 PUA / try harder / 换个方法 / 再试试； 同一任务失败 2 次以上，或在同一路径反复微调； 即将说“无法完成”、建议用户手动收尾、未验证就归因环境； 已经声称完成但缺少 build/test/curl/人工验收证据。 正常的一次性信息查询或首次编码请求不要启用。 四权分离：行动权 / 自我评价权 / 评分权 / 环境修改权 Trae 没有 Claude Code 的多 agent hook 编排时，也必须按下面的 权责边界 执行： Show more
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8827 molecular-dynamics k-dense-ai/scientific-agent-skills
Molecular Dynamics Overview Molecular dynamics (MD) simulation computationally models the time evolution of molecular systems by integrating Newton's equations of motion. This skill covers two complementary tools: OpenMM ( https://openmm.org/ ): High-performance MD simulation engine with GPU support, Python API, and flexible force field support MDAnalysis ( https://mdanalysis.org/ ): Python library for reading, writing, and analyzing MD trajectories from all major simulation packages Installatio...
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8828 imaging-data-commons k-dense-ai/scientific-agent-skills
Imaging Data Commons Overview Use the idc-index Python package to query and download public cancer imaging data from the National Cancer Institute Imaging Data Commons (IDC). No authentication required for data access. Current IDC Data Version: v23 (always verify with IDCClient().get_idc_version() ) Primary tool: idc-index ( GitHub ) CRITICAL - Check package version and upgrade if needed (run this FIRST): import idc_index REQUIRED_VERSION = "0.11.14" Must match metadata.idc-index in this file i...
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8829 convex-helpers-guide get-convex/agent-skills
Convex Helpers Guide Use convex-helpers to add common patterns and utilities to your Convex backend without reinventing the wheel. What is convex-helpers? convex-helpers is the official collection of utilities that complement Convex. It provides battle-tested patterns for common backend needs. Installation: npm install convex-helpers Available Helpers 1. Relationship Helpers Traverse relationships between tables in a readable, type-safe way. Use when: Loading related data across tables Following...
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8830 market-regimes 0xhubed/agent-trading-arena
Market Regimes Last updated: 2026-01-17 20:31 UTC Active patterns: 32 Total samples: 0 Confidence threshold: 60% How to Use This Skill Identify the current market regime using price action and volatility Look up the recommended strategy for that regime below Adjust your trading approach accordingly Monitor for regime changes Regime Strategies Mixed Choppy Recommended approach (93% confidence, seen 1x): Reduce or eliminate trading. In mixed markets (BNB +0.93%, SOL +1.65%, BTC -0.08%, ETH -0....
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8831 performance-profiler alirezarezvani/claude-skills
Performance Profiler Tier: POWERFUL Category: Engineering Domain: Performance Engineering Overview Systematic performance profiling for Node.js, Python, and Go applications. Identifies CPU, memory, and I/O bottlenecks; generates flamegraphs; analyzes bundle sizes; optimizes database queries; detects memory leaks; and runs load tests with k6 and Artillery. Always measures before and after. Core Capabilities Show more
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8832 api-design-reviewer alirezarezvani/claude-skills
API Design Reviewer Tier: POWERFUL Category: Engineering / Architecture Maintainer: Claude Skills Team Overview The API Design Reviewer skill provides comprehensive analysis and review of API designs, focusing on REST conventions, best practices, and industry standards. This skill helps engineering teams build consistent, maintainable, and well-designed APIs through automated linting, breaking change detection, and design scorecards. Core Capabilities 1. API Linting and Convention Analysis Resou...
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8833 codex-review hyperb1iss/hyperskills
Cross-Model Code Review with Codex CLI Cross-model validation using the codex binary directly. Claude writes code, Codex reviews it — different architecture, different training distribution, no self-approval bias. Core insight: Single-model self-review is systematically biased. Cross-model review catches different bug classes because the reviewer has fundamentally different blind spots than the author. Prerequisite: The codex CLI must be installed and authenticated. Verify with codex --help . Us...
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8834 context7 netresearch/context7-skill
Context7 Overview This skill enables retrieval of current documentation for software libraries and components by querying the Context7 API via curl. Use it instead of relying on potentially outdated training data. Workflow Step 1: Search for the Library To find the Context7 library ID, query the search endpoint: curl -s "https://context7.com/api/v2/libs/search?libraryName=LIBRARY_NAME&query=TOPIC" | jq '.results[0]' Parameters: libraryName (required): The library name to search for (e.g., "react...
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8835 uptrend-analyzer tradermonty/claude-trading-skills
Uptrend Analyzer Skill Purpose Diagnose market breadth health using Monty's Uptrend Ratio Dashboard, which tracks ~2,800 US stocks across 11 sectors. Generates a 0-100 composite score (higher = healthier) with exposure guidance. Unlike the Market Top Detector (API-based risk scorer), this skill uses free CSV data to assess "participation breadth" - whether the market's advance is broad or narrow. When to Use This Skill English: User asks "Is the market breadth healthy?" or "How broad is the rall...
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8836 rdkit k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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8837 pysam k-dense-ai/scientific-agent-skills
Pysam Overview Pysam is a Python module for reading, manipulating, and writing genomic datasets. Read/write SAM/BAM/CRAM alignment files, VCF/BCF variant files, and FASTA/FASTQ sequences with a Pythonic interface to htslib. Query tabix-indexed files, perform pileup analysis for coverage, and execute samtools/bcftools commands. When to Use This Skill This skill should be used when: Working with sequencing alignment files (BAM/CRAM) Analyzing genetic variants (VCF/BCF) Extracting reference sequenc...
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8838 fluidsim k-dense-ai/scientific-agent-skills
FluidSim Overview FluidSim is an object-oriented Python framework for high-performance computational fluid dynamics (CFD) simulations. It provides solvers for periodic-domain equations using pseudospectral methods with FFT, delivering performance comparable to Fortran/C++ while maintaining Python's ease of use. Key strengths : Multiple solvers: 2D/3D Navier-Stokes, shallow water, stratified flows High performance: Pythran/Transonic compilation, MPI parallelization Complete workflow: Parameter co...
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8839 depmap k-dense-ai/scientific-agent-skills
DepMap — Cancer Dependency Map Overview The Cancer Dependency Map (DepMap) project, run by the Broad Institute, systematically characterizes genetic dependencies across hundreds of cancer cell lines using genome-wide CRISPR knockout screens (DepMap CRISPR), RNA interference (RNAi), and compound sensitivity assays (PRISM). DepMap data is essential for: Identifying which genes are essential for specific cancer types Finding cancer-selective dependencies (therapeutic targets) Validating oncology dr...
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8840 arboreto k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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8841 subtitle-generation eachlabs/skills
Subtitle Generation Generate professional subtitles and captions for videos using each::sense. This skill creates accurate transcriptions, multi-language subtitles, animated captions, and various export formats optimized for social media, video production, and accessibility. Features Auto-Generated Subtitles : Automatic speech-to-text transcription with accurate timing Multi-Language Generation : Generate subtitles in multiple languages from audio Animated Captions : TikTok/Instagram-style anima...
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8842 optimization-advisor-sms blacktwist/social-media-skills
Optimization Advisor When to Use User asks what to do next or how to improve their social media performance User mentions "optimize my social media," "recommendations," or "suggestions" User says "next steps," "what's my biggest opportunity," or "help me grow" User wants a prioritized action plan based on their data User asks "how do I improve" or wants concrete improvement recommendations User has completed an analysis and wants actionable takeaways Role You are an expert social media optimizat...
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8843 pydicom k-dense-ai/scientific-agent-skills
No SKILL.md available for this skill. View on GitHub
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8844 funnel analysis aj-geddes/useful-ai-prompts
Funnel Analysis Overview Funnel analysis tracks user progression through sequential steps, identifying where users drop off and optimizing each stage for better conversion. When to Use When optimizing user conversion paths and improving conversion rates When identifying bottlenecks and drop-off points in user flows When comparing performance across different segments or traffic sources When measuring product feature adoption or onboarding effectiveness When improving customer journey efficiency ...
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8845 storybook-story-writing thebushidocollective/han
Storybook - Story Writing Write well-structured, maintainable Storybook stories using Component Story Format 3 (CSF3) that showcase component variations and ensure consistent rendering. Key Concepts Component Story Format 3 (CSF3) CSF3 is the modern Storybook format that uses object syntax for stories: import type { Meta, StoryObj } from '@storybook/react'; import { Button } from './Button'; const meta = { title: 'Components/Button', component: Button, parameters: { layout: 'cente...
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8846 anki-connect intellectronica/agent-skills
AnkiConnect Overview Enable reliable interaction with Anki through the AnkiConnect local HTTP API. Use this skill to translate user requests into AnkiConnect actions, craft JSON requests, run them via curl/jq (or equivalent tools), and interpret results safely. Preconditions and Environment If Anki is not running, launch Anki, then wait until the AnkiConnect server responds at http://127.0.0.1:8765 (default). Verify readiness using curl, e.g. curl -sS http://127.0.0.1:8765 should return Anki-C...
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8847 react-native-animations pluginagentmarketplace/custom-plugin-react-native
React Native Animations Skill Learn high-performance animations using Reanimated 3, Gesture Handler, and layout animations. Prerequisites React Native basics Understanding of JavaScript closures Familiarity with transforms and styles Learning Objectives After completing this skill, you will be able to: Create smooth 60fps animations with Reanimated Handle complex gestures with Gesture Handler Implement layout entering/exiting animations Optimize animations for performance Combine gestur...
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8848 crewai sickn33/antigravity-awesome-skills
CrewAI Role: CrewAI Multi-Agent Architect You are an expert in designing collaborative AI agent teams with CrewAI. You think in terms of roles, responsibilities, and delegation. You design clear agent personas with specific expertise, create well-defined tasks with expected outputs, and orchestrate crews for optimal collaboration. You know when to use sequential vs hierarchical processes. Capabilities Agent definitions (role, goal, backstory) Task design and dependencies Crew orchestration Pr...
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8849 deepinit yeachan-heo/oh-my-claudecode
Deep Init Skill Creates comprehensive, hierarchical AGENTS.md documentation across the entire codebase. Core Concept AGENTS.md files serve as AI-readable documentation that helps agents understand: What each directory contains How components relate to each other Special instructions for working in that area Dependencies and relationships Hierarchical Tagging System Every AGENTS.md (except root) includes a parent reference tag: <!-- Parent: ../AGENTS.md --> This creates a navigable hierar...
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8850 propose-hypotheses neolabhq/context-engineering-kit
Propose Hypotheses Workflow Execute the First Principles Framework (FPF) cycle: generate competing hypotheses, verify logic, validate evidence, audit trust, and produce a decision. User Input Problem Statement: $ARGUMENTS Workflow Execution Step 1a: Create Directory Structure (Main Agent) Create .fpf/ directory structure if it does not exist: Show more
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