发现 文档写作 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Apply structured analytical frameworks to any artifact (prompts, systems, documents, code). 12 frameworks in 3 tiers: Core (4 universal), Auto-Invoke (specialized), On-Demand (advanced). Includes adversarial-re...
Claude Code AI-assisted development workflow. Activate when discussing Claude Code usage, AI-assisted coding, prompting strategies, or Claude Code-specific patterns.
C# and .NET project workflow guidelines. Activate when working with C# files (.cs), .csproj, .NET projects, or C#-specific tooling.
Principle of Least Astonishment (POLA) - ensure code changes behave as users and developers expect. Activate when making code changes, refactoring, modifying APIs, renaming functions/variables, changing file st...
Next.js framework workflow guidelines. Activate when working with Next.js projects, next.config, app router, or Next.js-specific patterns.
Python project workflow guidelines. Triggers: .py, pyproject.toml, uv, pip, pytest, Python. Covers package management, virtual environments, code style, type safety, testing, configuration, CQRS patterns, and P...
Manages practice rules. Use when user states a preference or approach, or asks to add/modify rules for coding, architecture, tooling, or best practices.
Scan code changes for security vulnerabilities using STRIDE threat modeling, validate findings for exploitability, and output structured results for downstream patch generation. Supports PR review, scheduled sc...
Generate a STRIDE-based security threat model for a repository. Use when setting up security monitoring, after architecture changes, or for security audits.
Review code changes (diffs, PRs, patches) and provide structured, actionable feedback on correctness, maintainability, and test coverage. Use when the user asks for a code review, requests feedback on a patch/P...
Validate security findings from commit-security-scan by assessing exploitability, filtering false positives, and generating proof-of-concept exploits. Use after running commit-security-scan to confirm vulnerabi...
Analyze code changes for security vulnerabilities using LLM reasoning and threat model patterns. Use for PR reviews, pre-commit checks, or branch comparisons.
A reasoning pattern for diagnosing and fixing bugs that span multiple abstraction layers in complex systems.
Use this skill when facilitating communication between different systems in the 33GOD ecosystem. Every action in the pipeline is invoked by an event published by Bloodbank. Simiarly, every result is published a...
Use this skill when working with mise to manage your project. All projects should rely on mise for package management, encapsulating common tasks, and consolidating devops operations.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Zero halluci...
Agno AI agent framework. Use for building multi-agent systems, AgentOS runtime, MCP server integration, and agentic AI development.
Generate high-quality images from text prompts using fal.ai's text-to-image models. Supports intelligent model selection, style transfer, and professional-grade outputs.
Use this skill when installing applications, packages, tools, or services on the system. Handles Python (uv), Node/JS/TS (bun), Docker containers, and GitHub-sourced installations with mise-managed tools and ec...
Letta framework for building stateful AI agents with long-term memory. Use for AI agent development, memory management, tool integration, and multi-agent systems.
Use this skill when any task is complete, before beginning any non-trivial task, or whenever working with git or tasked with commiting code.
Terminal multiplexer specialist for layout design, plugin development, and session management
Emergency steps to mitigate ulimit-related crashes by increasing file descriptor limits and restarting services.
Deep knowledge expert for the 33GOD agentic pipeline system, understands component relationships and suggests feature implementations based on actual codebase state
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。