React DevTools CLI for AI agents. Use when the user asks you to debug a React or React Native app at runtime, inspect component props/state/hooks, diagnose render performance, profile re-renders, find slow components, or understand why something re-renders. Triggers include "why does this re-render", "inspect the component", "what props does X have", "profile the app", "find slow components", "debug the UI", "check component state", "the app feels slow", or any React runtime debugging task.
Token-efficient smart contract security auditing via Behavioral State Analysis (BSA). Scopes analysis to contract type, runs only relevant threat engines, and uses tiered output depth. Use for auditing smart contracts, security reviews, or DeFi threat modeling.
- 📁 tools/
- 📁 workflows/
- 📄 SKILL.md
Creates visual prompts from hooks. Expects hook-bank to exist. Outputs prompts.json for MCP image generation.
- 📄 package-lock.json
- 📄 package.json
- 📄 SKILL.md
Projitive is an MCP-first governance skill for agent-driven delivery. Use this before changing task states or writing governance artifacts. Core flow: taskNext -> taskContext -> execute -> verify -> taskNext. Always prefer Projitive MCP methods for discovery, context, and proactive task advancement.
Creating typed API clients with OpenAPI specs, authentication, and OAuth scopes for SCAPI and similar APIs. Use when adding a new SCAPI client, generating types from an OpenAPI spec, setting up OAuth middleware, or integrating a new Commerce API endpoint.
End-to-end pipeline for publishing Claude Code lab meetings. Automatically finds/creates Fathom transcript, downloads video, uploads to YouTube, generates fact-checked Russian summary, creates MDX documentation, and pushes to agency-docs for Vercel deployment. Single invocation replaces 5+ manual steps.
- 📁 agents/
- 📁 assets/
- 📁 references/
- 📄 ADAPTATION.md
- 📄 LICENSE.txt
- 📄 SKILL.md
Create distinctive, production-grade frontend interfaces with a clear visual direction while respecting project design specification constraints, existing design systems, and minimal-diff engineering boundaries. Use when building or restyling pages, landing screens, dashboards, marketing surfaces, or other frontend UI where visual quality materially affects the result.
使用 Obsidian Vault Pipeline 自动化整理知识库。 **触发场景：** - 用户说 "运行 WIGS 流程"、"整理 Obsidian Vault"、"处理知识库" - 用户说 "提取 Evergreen"、"更新 MOC"、"运行 Pipeline" - 用户提到 "整理笔记"、"知识管理"、"处理书签" - 用户说 "质检"、"质量检查"、"检查一致性" **Vault 位置设置：** 默认使用当前工作目录作为 vault 根目录，或通过 `--vault-dir` 参数指定。 只要用户提到 Obsidian、知识管理、WIGS、Pipeline、Evergreen、MOC 等关键词，就立即使用此 skill。 --- # Obsidian Vault Pipeline Skill ## 概述 此 skill 用于帮助用户运行 Obsidian Vault Pipeline 自动化知识管理流程。 ## 安装 ```bash pip install obsidian-vault-pipeline ``` ## Vault 位置设置 Pipeline 自动检测 vault 位置（按优先级）： 1. **当前工作目录** - 默认使用 `cwd` 2. ** `--vault-dir` 参数** - 显式指定 3. **环境变量** - `VAULT_DIR` **最佳实践：** ```bash cd /path/to/my-vault # 进入 vault 目录 ovp --check # 检查环境 ovp --full # 运行完整 pipeline ``` ## 可用命令 | 命令 | 说明 | |------|------| | `ovp --check` | 检查环境配置 | | `ovp --init` | 初始化配置（交互式） | | `ovp --full` | 运行完整 pipeline | | `ovp-article --process-inbox` | 处理 50-Inbox/01-Raw/ 中的文章 | | `ovp-evergreen --recent 7` | 提取最近7天的 Evergreen 笔记 | | `ovp-moc --scan` | 扫描并更新 MOC 索引 | | `ovp-quality --recent 7` | 质量检查 | ## 标准操作流程 ### 1. 首次使用 ```bash # 进入 vault 目录 cd my-vault # 检查环境 ovp --check # 如果提示未配置，运行初始化 ovp --init ``` ### 2. 日常处理 ```bash # 放入新文章到 50-Inbox/01-Raw/ cp article.md my-vault/50-Inbox/01-Raw/ # 运行 pipeline ovp --full ``` ### 3. WIGS 完整性检查 ```bash # 5层一致性检查 ./60-Logs/scripts/check-consistency.sh # 自动修复低风险问题 ./60-Logs/scripts/repair.sh --auto ``` ## 配置文件 在 vault 根目录创建 `.env`： ```bash AUTO_VAULT_API_KEY=your_api_key AUTO_VAULT_API_BASE=https://api.minimaxi.com/anthropic AUTO_VAULT_MODEL=minimax/MiniMax-M2.5 ``` ## 触发词映射 | 用户说 | 执行命令 | |--------|----------| | "运行 WIGS 流程" | `./60-Logs/scripts/check-consistency.sh` | | "整理 Obsidian" | `ovp --full` | | "处理文章" | `ovp-article --process-inbox` | | "提取 Evergreen" | `ovp-evergreen --recent 7` | | "更新 MOC" | `ovp-moc --scan` | | "质量检查" | `ovp-quality --recent 7` | | "检查一致性" | `./60-Logs/scripts/check-consistency.sh` | ## 处理流程 ``` 50-Inbox/01-Raw/ → ovp-article → 20-Areas/深度解读 20-Areas/ →
- 📁 agents/
- 📁 assets/
- 📁 references/
- 📄 license.txt
- 📄 SKILL.md
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends agent capabilities with specialized knowledge, workflows, or tool integrations.
- 📁 dd-apm/
- 📁 dd-docs/
- 📁 dd-llmo/
- 📄 .gitignore
- 📄 LICENSE
- 📄 README.md
Datadog skills for AI agents. Essential monitoring, logging, tracing and observability.
- 📁 references/
- 📁 scripts/
- 📄 SKILL.md
Review and analyze devnet run results. Use when users want to (1) Analyze devnet logs for errors and warnings, (2) Generate a summary of a devnet run, (3) Identify interoperability issues between clients, (4) Understand consensus progress and block production, (5) Debug forks and finalization issues.
Onbard yourself to this repo that might have X number of other agents running on it. Whenever you are starting off or asked to onboard to team use this skill to give yourself extra awareness of multi-agent and worker context, as well as goals and identity.
