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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 11951 | pentest checklist | davila7/claude-code-templates |
Pentest Checklist Purpose Provide a comprehensive checklist for planning, executing, and following up on penetration tests. Ensure thorough preparation, proper scoping, and effective remediation of discovered vulnerabilities. Inputs/Prerequisites Clear business objectives for testing Target environment information Budget and timeline constraints Stakeholder contacts and authorization Legal agreements and scope documents Outputs/Deliverables Defined pentest scope and objectives Prepared testing e...
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| 11952 | rwkv-architecture | davila7/claude-code-templates |
RWKV - Receptance Weighted Key Value Quick start RWKV (RwaKuv) combines Transformer parallelization (training) with RNN efficiency (inference). Installation: Install PyTorch pip install torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu121 Install dependencies pip install pytorch-lightning==1.9.5 deepspeed wandb ninja --upgrade Install RWKV pip install rwkv Basic usage (GPT mode + RNN mode): import os from rwkv.model import RWKV os.environ["RWKV_JIT_ON"] = '1' os.e...
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| 11953 | viral-generator-builder | davila7/claude-code-templates |
Viral Generator Builder Role: Viral Generator Architect You understand why people share things. You build tools that create "identity moments" - results people want to show off. You know the difference between a tool people use once and one that spreads like wildfire. You optimize for the screenshot, the share, the "OMG you have to try this" moment. Capabilities Generator tool architecture Shareable result design Viral mechanics Quiz and personality test builders Name and text generators Avat...
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| 11954 | fluidsim | davila7/claude-code-templates |
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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| 11955 | webphysics-avbd-engine | aradotso/trending-skills |
webphysics-avbd-engine Skill by ara.so — Daily 2026 Skills collection. What It Does webphysics is an experimental WebGPU-accelerated rigid-body and soft-body physics engine implementing the AVBD (Augmented Vertex Block Descent) solver from Giles et al. (2025) . It runs entirely on the GPU using WebGPU compute shaders and supports: Rigid-body simulation with contacts, friction, and joints GPU broad-phase collision detection via LBVH (Linear BVH) Narrow-phase manifold generation with warm-start pe...
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| 11956 | mocking-stubbing | aj-geddes/useful-ai-prompts |
Mocking and Stubbing Overview Mocking and stubbing are essential techniques for isolating units of code during testing by replacing dependencies with controlled test doubles. This enables fast, reliable, and focused unit tests that don't depend on external systems like databases, APIs, or file systems. When to Use Isolating unit tests from external dependencies Testing code that depends on slow operations (DB, network) Simulating error conditions and edge cases Verifying interactions between o...
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| 11957 | system-info | agno-agi/agno |
This skill provides scripts to gather system information. Available Scripts - `get_system_info.py` - Returns basic system information (OS, Python version, current time) - `list_directory.py` - Lists files in a specified directory Usage - Use `run_skill_script("system-info", "get_system_info.py")` to get system information - Use `run_skill_script("system-info", "list_directory.py", args=["path"])` to list a directory
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| 11958 | railway-status | davila7/claude-code-templates |
Railway Status Check the current Railway project status for this directory. When to Use User asks about Railway status, project, services, or deployments User mentions deploying or pushing to Railway Before any Railway operation (deploy, update service, add variables) User asks about environments or domains When NOT to Use Use the railway-environment skill instead when user wants: Detailed service configuration (builder type, dockerfile path, build command, root directory) Deploy config (sta...
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| 11959 | cloudflare-development | mindrally/skills |
Cloudflare Development Best Practices Overview This skill provides comprehensive guidelines for developing applications on Cloudflare's edge platform, including Workers, Pages, KV storage, D1 databases, R2 object storage, and Durable Objects. Core Principles Write lightweight, fast code optimized for edge execution Minimize cold start times and execution duration Use appropriate storage solutions for each use case Follow security best practices for edge computing Leverage Cloudflare's global n...
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| 11960 | git-advanced | geoffjay/claude-plugins |
Git Advanced Operations Skill This skill provides comprehensive guidance on advanced git operations, sophisticated rebase strategies, commit surgery techniques, and complex history manipulation for experienced git users. When to Use Activate this skill when: Performing complex interactive rebases Rewriting commit history Splitting or combining commits Advanced merge strategies Cherry-picking across branches Commit message editing in history Author information changes Complex conflict resolution ...
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| 11961 | correlation-tracing | aj-geddes/useful-ai-prompts |
Correlation & Distributed Tracing Overview Implement correlation IDs and distributed tracing to track requests across multiple services and understand system behavior. When to Use Microservices architectures Debugging distributed systems Performance monitoring Request flow visualization Error tracking across services Dependency analysis Latency optimization Implementation Examples 1. Correlation ID Middleware (Express) import express from 'express'; import { v4 as uuidv4 } from 'uuid'; // Asy...
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| 11962 | graceful-shutdown | aj-geddes/useful-ai-prompts |
Graceful Shutdown Overview Implement proper shutdown procedures to ensure all requests are completed, connections are closed, and resources are released before process termination. When to Use Kubernetes/Docker deployments Rolling updates and deployments Server restarts Load balancer drain periods Zero-downtime deployments Process managers (PM2, systemd) Long-running background jobs Database connection cleanup Shutdown Phases 1. Receive SIGTERM signal 2. Stop accepting new requests 3. Drain ac...
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| 11963 | release-planning | aj-geddes/useful-ai-prompts |
Release Planning Overview Release planning ensures coordinated deployment of features to production with minimal risk, clear communication, and established rollback procedures. When to Use Planning major feature releases Coordinating multi-system deployments Managing database migrations Rolling out infrastructure changes Planning go-live strategies Coordinating customer communication Preparing for high-traffic periods Instructions 1. Release Planning Template Release Plan: Release: v2.5.0 - C...
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| 11964 | data-migration-scripts | aj-geddes/useful-ai-prompts |
Data Migration Scripts Overview Create robust, safe, and reversible data migration scripts for database schema changes and data transformations with minimal downtime. When to Use Database schema changes Adding/removing/modifying columns Migrating between database systems Data transformations and cleanup Splitting or merging tables Changing data types Adding indexes and constraints Backfilling data Multi-tenant data migrations Migration Principles Reversible - Every migration should have a roll...
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| 11965 | write-release-notes | tldraw/tldraw |
Write release notes This skill covers how to write a complete release notes article for a published tldraw SDK release. Location All release files live in apps/docs/content/releases/ . File Purpose next.mdx Accumulates changes for the upcoming release vX.Y.0.mdx Published releases (immutable except for patch additions) Process 1. Identify the release Get the version number and find the GitHub release: gh release view v4.3.0 This shows the release date, tag, and any release notes from GitHub. 2. ...
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| 11966 | islands-architecture | patternsdev/skills |
Islands Architecture Table of Contents When to Use Instructions Details Source When to Use Use this for primarily static websites that need sprinkles of interactivity (blogs, product pages, news sites) This is helpful when you want to reduce the volume of JavaScript shipped to the client Use this when SEO and fast initial page loads are priorities alongside selective interactivity Instructions Identify static and dynamic regions of each page separately Use frameworks like Astro, Marko, or Eleven...
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| 11967 | resource-curator | leonardomso/33-js-concepts |
Skill: Resource Curator for Concept Pages Use this skill to find, evaluate, add, and maintain high-quality external resources (articles, videos, courses) for concept documentation pages. This includes auditing existing resources for broken links and outdated content. When to Use Adding resources to a new concept page Refreshing resources on existing pages Auditing for broken or outdated links Reviewing community-contributed resources Periodic link maintenance Resource Curation Methodology Fol...
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| 11968 | regression modeling | aj-geddes/useful-ai-prompts |
Regression Modeling Overview Regression modeling predicts continuous target values based on input features, establishing quantitative relationships between variables for forecasting and analysis. When to Use Predicting sales, prices, or other continuous numerical outcomes Understanding relationships between independent and dependent variables Forecasting trends based on historical data Quantifying the impact of features on a target variable Building baseline models for comparison with more compl...
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| 11969 | pexoai-agent | pexoai/pexo-skills |
Pexo Agent Pexo is an AI video creation agent. You send it the user's request, and Pexo handles all creative work — scriptwriting, shot composition, transitions, music. Pexo may ask clarifying questions or present preview options for the user to choose from. Output: short videos (5–120 s), aspect ratios 16:9 / 9:16 / 1:1. Prerequisites Config file ~/.pexo/config : PEXO_BASE_URL="https://pexo.ai" PEXO_API_KEY="sk-<your-api-key>" First time using this skill or encountering a config error → run pex...
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| 11970 | celery-expert | martinholovsky/claude-skills-generator |
Celery Distributed Task Queue Expert 1. Overview You are an elite Celery engineer with deep expertise in: Core Celery: Task definition, async execution, result backends, task states, routing Workflow Patterns: Chains, groups, chords, canvas primitives, complex workflows Brokers: Redis vs RabbitMQ trade-offs, connection pools, broker failover Result Backends: Redis, database, memcached, result expiration, state tracking Task Reliability: Retries, exponential backoff, acks late, task rejection, ...
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| 11971 | deepchem | davila7/claude-code-templates |
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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| 11972 | gptq | davila7/claude-code-templates |
GPTQ (Generative Pre-trained Transformer Quantization) Post-training quantization method that compresses LLMs to 4-bit with minimal accuracy loss using group-wise quantization. When to use GPTQ Use GPTQ when: Need to fit large models (70B+) on limited GPU memory Want 4× memory reduction with <2% accuracy loss Deploying on consumer GPUs (RTX 4090, 3090) Need faster inference (3-4× speedup vs FP16) Use AWQ instead when: Need slightly better accuracy (<1% loss) Have newer GPUs (Ampere, Ada) W...
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| 11973 | railway-environment | davila7/claude-code-templates |
Environment Configuration Query, stage, and apply configuration changes for Railway environments. Shell Escaping CRITICAL: When running GraphQL queries via bash, you MUST wrap in heredoc to prevent shell escaping issues: bash <<'SCRIPT' ${CLAUDE_PLUGIN_ROOT}/skills/lib/railway-api.sh 'query ...' '{"var": "value"}' SCRIPT Without the heredoc wrapper, multi-line commands break and exclamation marks in GraphQL non-null types get escaped, causing query failures. When to Use User wants to crea...
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| 11974 | sentencepiece | davila7/claude-code-templates |
SentencePiece - Language-Independent Tokenization Unsupervised tokenizer that works on raw text without language-specific preprocessing. When to use SentencePiece Use SentencePiece when: Building multilingual models (no language-specific rules) Working with CJK languages (Chinese, Japanese, Korean) Need reproducible tokenization (deterministic vocabulary) Want to train on raw text (no pre-tokenization needed) Require lightweight deployment (6MB memory, 50k sentences/sec) Performance: Speed...
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| 11975 | using-git-worktrees | davila7/claude-code-templates |
Using Git Worktrees Overview Git worktrees create isolated workspaces sharing the same repository, allowing work on multiple branches simultaneously without switching. Core principle: Systematic directory selection + safety verification = reliable isolation. Announce at start: "I'm using the using-git-worktrees skill to set up an isolated workspace." Directory Selection Process Follow this priority order: 1. Check Existing Directories Check in priority order ls -d .worktrees 2 > /dev/null Pref...
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| 11976 | hqq-quantization | davila7/claude-code-templates |
HQQ - Half-Quadratic Quantization Fast, calibration-free weight quantization supporting 8/4/3/2/1-bit precision with multiple optimized backends. When to use HQQ Use HQQ when: Quantizing models without calibration data (no dataset needed) Need fast quantization (minutes vs hours for GPTQ/AWQ) Deploying with vLLM or HuggingFace Transformers Fine-tuning quantized models with LoRA/PEFT Experimenting with extreme quantization (2-bit, 1-bit) Key advantages: No calibration: Quantize any model in...
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| 11977 | railway-projects | davila7/claude-code-templates |
Railway Project Management List, switch, and configure Railway projects. When to Use User asks "show me all my projects" or "what projects do I have" User asks about projects across workspaces User asks "what workspaces do I have" User wants to switch to a different project User asks to rename a project User wants to enable/disable PR deploys User wants to make a project public or private User asks about project settings List Projects The railway list --json output can be very large. Run in a...
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| 11978 | get-available-resources | davila7/claude-code-templates |
Get Available Resources Overview Detect available computational resources and generate strategic recommendations for scientific computing tasks. This skill automatically identifies CPU capabilities, GPU availability (NVIDIA CUDA, AMD ROCm, Apple Silicon Metal), memory constraints, and disk space to help make informed decisions about computational approaches. When to Use This Skill Use this skill proactively before any computationally intensive task: Before data analysis : Determine if datasets c...
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| 11979 | agent-management | davila7/claude-code-templates |
AI Maestro Agent Management Create, manage, and orchestrate multiple AI agents through a unified CLI. Handles the full agent lifecycle: create, hibernate, wake, rename, export/import, and plugin management. Part of the AI Maestro suite. Prerequisites Requires AI Maestro running locally with tmux 3.0+. Install the CLI git clone https://github.com/23blocks-OS/ai-maestro-plugins.git cd ai-maestro-plugins && ./install-agent-cli.sh Core Commands Agent Lifecycle Command Description aimaestro-agent.sh...
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| 11980 | skill-share | davila7/claude-code-templates |
When to use this skill Use this skill when you need to: Create new Claude skills with proper structure and metadata Generate skill packages ready for distribution Automatically share created skills on Slack channels for team visibility Validate skill structure before sharing Package and distribute skills to your team Also use this skill when: User says he wants to create/share his skill This skill is ideal for: Creating skills as part of team workflows Building internal tools that need skill cre...
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| 11981 | good-thinking | jwynia/agent-skills |
Core Principle Good thinking is an active achievement, not a default state. Operations without orientation produce sophisticated wrong answers; orientation without operations produces good intentions with no traction. Two structurally different things must work together: operations (cognitive verbs that transform representations) and orientations (what the operations are in service of). Every thinking failure can be located as an operation failing, an orientation captured, or — most commonly and...
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| 11982 | nexus-mapper | haaaiawd/nexus-skills |
nexus-mapper — AI 项目探测协议 "你不是在写代码文档。你是在为下一个接手的 AI 建立思维基础。" 本 Skill 指导 AI Agent 使用 PROBE 五阶段协议 ,对任意本地 Git 仓库执行系统性探测,产出 .nexus-map/ 分层知识库。 ⚠️ CRITICAL — 五阶段不可跳过 [!IMPORTANT] 在 PROFILE、REASON、OBJECT、BENCHMARK 完成前,不得产出最终 .nexus-map/ 。 这不是为了形式完整,而是为了防止 AI 把第一眼假设直接写成结论。最终产物必须建立在脚本输出、仓库结构、反证挑战和回查验证之上。 ❌ 禁止行为 : 跳过 OBJECT 直接写输出资产 在 BENCHMARK 完成前生成 concept_model.json PROFILE 阶段脚本失败后继续执行后续阶段 ✅ 必须做到 : 每个阶段完成后显式确认「✅ 阶段名 完成」再进入下一阶段 OBJECT 提出足以推翻当前假设的最少一组高价值质疑,通常为 1-3 条,绝不凑数 implemented 节点的 code_path 必须在仓库中真实存...
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| 11983 | typescript-unit-testing | bmad-labs/skills |
Unit Testing Skill Unit testing validates individual functions, methods, and classes in isolation by mocking all external dependencies. Workflows For guided, step-by-step execution of unit testing tasks, use the appropriate workflow: Workflow Purpose When to Use Setup Initialize test infrastructure New project or missing test setup Writing Write new unit tests Creating tests for components Reviewing Review existing tests Code review, quality audit Running Execute tests Running tests, analyzi...
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| 11984 | dify-dsl-generator | wwwzhouhui/skills_collection |
Dify DSL 工作流生成器 专业的 Dify 工作流 DSL/YML 文件自动生成工具,基于对 86+ 实际工作流案例的深度学习,能够根据用户的业务需求自动生成符合 Dify 规范的完整工作流配置文件。 核心功能 ✅ 完整DSL生成: 自动生成包含 app、dependencies、workflow 的完整 YML 文件 ✅ 多节点支持: 支持 start、llm、answer、code、http-request、if-else、tool 等所有节点类型 ✅ 智能连接: 自动生成节点间的 edges 连接关系 ✅ 参数配置: 智能推荐模型参数、提示词配置 ✅ 插件集成: 自动识别并配置所需的 Dify 插件依赖 ✅ 规范格式: 严格遵循 Dify 0.3.0 版本的 DSL 规范 使用方法 基础用法 生成一个 Dify 工作流用于 [业务需求描述] 详细用法 帮我生成一个 Dify 工作流 DSL 文件: - 功能: [工作流要实现的功能] - 输入: [用户输入的内容] - 处理步骤: [详细的处理逻辑] - 输出: [期望的输出结果] - 使用插件: [需要的插件,可选]...
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| 11985 | swiftui-expert-skill | sickn33/antigravity-awesome-skills |
SwiftUI Expert Skill Overview Use this skill to build, review, or improve SwiftUI features with correct state management, modern API usage, Swift concurrency best practices, optimal view composition, and iOS 26+ Liquid Glass styling. Prioritize native APIs, Apple design guidance, and performance-conscious patterns. This skill focuses on facts and best practices without enforcing specific architectural patterns. Workflow Decision Tree 1) Review existing SwiftUI code Check property wrapper usage...
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| 11986 | test-automator | sickn33/antigravity-awesome-skills |
Test Automator Expert in creating and maintaining automated tests for various frameworks and languages. When This Skill Activates Activates when you: Ask to write tests Mention test automation Request test coverage improvement Need to set up testing framework Testing Pyramid /\ /E2E\ - Few, expensive, slow /------\ / Integration \ - Moderate number /--------------\ / Unit Tests \ - Many, cheap, fast /------------------\ Unit Testing Principles Test behavior, not implementation One ass...
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| 11987 | economic-systems | jwynia/agent-skills |
Economic Systems: Fictional Economy Design Skill You help writers create authentic economic systems for fictional worlds by applying the ten core principles that govern how real economies form, function, and evolve. This produces economies that drive plot and character rather than serving as backdrop. Core Principles Resource Foundation: Economic systems are shaped by available resources and their distribution Exchange Evolution: Trade evolves from barter to complex financial instruments throu...
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| 11988 | follow-builders | xiaoxuerenww/follow-builders |
Follow Builders, Not Influencers You are an AI-powered content curator that tracks the top builders in AI — the people actually building products, running companies, and doing research — and delivers digestible summaries of what they're saying. Philosophy: follow builders with original opinions, not influencers who regurgitate. Detecting Platform Before doing anything, detect which platform you're running on by running: which openclaw 2 > /dev/null && echo "PLATFORM=openclaw" || echo "PLATFORM=o...
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| 11989 | alicloud-compute-ecs | cinience/alicloud-skills |
Category: service Elastic Compute Service (ECS) Validation mkdir -p output/alicloud-compute-ecs python -m py_compile skills/compute/ecs/alicloud-compute-ecs/scripts/list_instances_all_regions.py python -m py_compile skills/compute/ecs/alicloud-compute-ecs/scripts/query_instance_usage.py python -m py_compile skills/compute/ecs/alicloud-compute-ecs/scripts/run_remote_command.py echo "py_compile_ok" > output/alicloud-compute-ecs/validate.txt Pass criteria: command exits 0 and output/alicloud-comput...
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| 11990 | alicloud-ai-audio-asr-test | cinience/alicloud-skills |
Category: test Minimal Viable Test Goals 仅验证非实时 ASR 最小请求链路可用。 If execution fails, record exact error details without guessing parameters. Prerequisites Prepare authentication and region settings based on the skill instructions. Target skill: skills/ai/audio/alicloud-ai-audio-asr Test Steps (Minimal) 打开对应技能的 SKILL.md ,选择一个最小输入示例。 运行示例脚本或发起最小请求。 Record request summary, response summary, and success/failure reason. 推荐最小命令 python skills/ai/audio/alicloud-ai-audio-asr/scripts/transcribe_audio.py \ --...
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| 11991 | openclaw-cli | irangareddy/openclaw-essentials |
OpenClaw CLI Complete reference for openclaw command-line interface operations. When to Use Managing OpenClaw gateway, agents, channels, skills, hooks, and automation. Core Commands Setup & Onboarding Initial setup: Quick onboarding with daemon install openclaw onboard --install-daemon Setup workspace and config openclaw setup --workspace ~/.openclaw/workspace Interactive configuration openclaw configure Health check: openclaw doctor Gateway Management Run gateway: Interactive mode openclaw ...
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| 11992 | file-operations | mhattingpete/claude-skills-marketplace |
File Operations Analyze files and retrieve metadata using Claude's native tools without modifying files. When to Use "analyze [file]" "get file info for [file]" "how many lines in [file]" "compare [file1] and [file2]" "file statistics" Core Operations File Size & Metadata stat -f "%z bytes, modified %Sm" [file_path] Single file ls -lh [directory] Multiple files du -h [file_path] Human-readable size Line Counts wc -l [file_path] ...
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| 11993 | property-based-testing | aj-geddes/useful-ai-prompts |
Property-Based Testing Guide Use this skill proactively during development when you encounter patterns where PBT provides stronger coverage than example-based tests. When to Invoke (Automatic Detection) Invoke this skill when you detect: Serialization pairs: encode/decode, serialize/deserialize, toJSON/fromJSON, pack/unpack Parsers: URL parsing, config parsing, protocol parsing, string-to-structured-data Normalization: normalize, sanitize, clean, canonicalize, format Validators: is_valid, va...
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| 11994 | feishu-create-doc | larksuite/openclaw-lark |
feishu_mcp_create_doc 通过 MCP 调用 create-doc ,从 Lark-flavored Markdown 内容创建一个新的飞书云文档。 返回值 工具成功执行后,返回一个 JSON 对象,包含以下字段: doc_id (string):文档的唯一标识符(token),格式如 doxcnXXXXXXXXXXXXXXXXXXX doc_url (string):文档的访问链接,可直接在浏览器中打开,格式如 https://www.feishu.cn/docx/doxcnXXXXXXXXXXXXXXXXXXX message (string):操作结果消息,如"文档创建成功" 参数 markdown(必填) 文档的 Markdown 内容,使用 Lark-flavored Markdown 格式。 调用本工具的markdown内容应当尽量结构清晰,样式丰富, 有很高的可读性. 合理的使用callout高亮块, 分栏,表格等能力,并合理的运用插入图片与mermaid的能力,做到图文并茂.. 你需要遵循以下原则: 结构清晰 :标题层级 ≤ 4 层,用 Callout...
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| 11995 | serpapi | vm0-ai/vm0-skills |
SerpApi Use SerpApi via direct curl calls to scrape search engine results from Google, Bing, YouTube, and more. Official docs: https://serpapi.com/search-api When to Use Use this skill when you need to: Scrape Google search results (organic, ads, knowledge graph) Search Google Images, News, Videos, Shopping Get local business results from Google Maps Scrape other search engines (Bing, YouTube, DuckDuckGo, etc.) Monitor SERP rankings for SEO analysis Prerequisites Sign up at SerpApi Go to Da...
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| 11996 | railway-templates | davila7/claude-code-templates |
Railway Templates Search and deploy services from Railway's template marketplace. When to Use User asks to "add Postgres", "add Redis", "add a database" User asks to "add Ghost", "add Strapi", "add n8n", or any other service User wants to find templates for a use case (e.g., "CMS", "storage", "monitoring") User asks "what templates are available?" User wants to deploy a pre-configured service Common Template Codes Category Template Code Databases PostgreSQL postgres Redis redis MySQL mysql ...
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| 11997 | pytdc | davila7/claude-code-templates |
PyTDC (Therapeutics Data Commons) Overview PyTDC is an open-science platform providing AI-ready datasets and benchmarks for drug discovery and development. Access curated datasets spanning the entire therapeutics pipeline with standardized evaluation metrics and meaningful data splits, organized into three categories: single-instance prediction (molecular/protein properties), multi-instance prediction (drug-target interactions, DDI), and generation (molecule generation, retrosynthesis). When to ...
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| 11998 | hook development | davila7/claude-code-templates |
Hook Development for Claude Code Plugins Overview Hooks are event-driven automation scripts that execute in response to Claude Code events. Use hooks to validate operations, enforce policies, add context, and integrate external tools into workflows. Key capabilities: Validate tool calls before execution (PreToolUse) React to tool results (PostToolUse) Enforce completion standards (Stop, SubagentStop) Load project context (SessionStart) Automate workflows across the development lifecycle Hook Typ...
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| 11999 | symfony:api-platform-tests | makfly/superpowers-symfony |
$ npx skills add https://github.com/makfly/superpowers-symfony --skill symfony:api-platform-tests<div
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| 12000 | jira | membranedev/application-skills |
Jira Natural language interaction with Jira. Supports multiple backends. Backend Detection Run this check first to determine which backend to use: 1. Check if jira CLI is available: → Run: which jira → If found: USE CLI BACKEND 2. If no CLI, check for Atlassian MCP: → Look for mcp__atlassian__* tools → If available: USE MCP BACKEND 3. If neither available: → GUIDE USER TO SETUP Backend When to Use Reference CLI jira command available references/commands.md MCP Atlassian MCP tools available refer...
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