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Found 214 Skills
Find orphan functions, dangling imports, and dead code via GitNexus CLI (npx gitnexus@latest). CLI ONLY - NO MCP server exists, never use readMcpResource with gitnexus:// URIs. TRIGGERS - dead code, orphan functions, unused imports, dangling references, unreachable code.
Project documentation structure creation assistant. Acting as a senior product manager, it gains in-depth understanding of project requirements through multiple rounds of conversations, analyzes rationality and provides best practice suggestions, and finally generates a complete technical documentation system.
Build a persistent knowledge graph of your codebase so Claude reads only what matters — up to 49x fewer tokens on coding tasks.
Deep dive into Claude Code source code to learn production-grade AI agent architecture patterns
Analyze the current workspace codebase and produce a single-file interactive C4 architecture diagram as HTML (L1 System Context → L2 Containers → L3 Components), with drill-down, breadcrumb, side panel, and light theme. Use when the user asks for C4 diagrams, interactive architecture HTML, system context/container/component views, or 可交互 C4 架构图. 分析当前项目代码结构，生成交互式 C4 架构图（单文件 HTML）：系统上下文、容器、组件三级下钻、面包屑、侧栏详情、浅色主题。触发词：C4 架构图、交互式架构、系统上下文、容器图、组件图、架构可视化、可下钻、architecture diagram、interactive C4。
Structural code search via AST patterns. Use when grep/ripgrep cannot express the pattern reliably and you need to match code by syntax shape instead of text. Requires the `ast-grep` CLI.
Analyze a codebase to produce an interactive knowledge graph for understanding architecture, components, and relationships
Explain a selected piece of code — what it does, how it works, potential issues, and improvement suggestions. Ephemeral by default (chat only), optionally saved to .decodie/ on explicit request.
Interactive collaborative analysis with documented discussions, inline exploration, and evolving understanding. Serial execution with no agent delegation.
Multi-Model Collaboration — Invoke gemini-agent and codex-agent for auxiliary analysis **Trigger Scenarios** (Proactive Use): - In-depth code analysis: algorithm understanding, performance bottleneck identification, architecture sorting - Large-scale exploration: 5+ files, module dependency tracking, call chain tracing - Complex reasoning: solution evaluation, logic verification, concurrent security analysis - Multi-perspective decision-making: requiring analysis from different angles before comprehensive judgment **Non-Trigger Scenarios**: - Simple modifications (clear changes in 1-2 files) - File searching (use Explore or Glob/Grep) - Read/write operations on known paths **Core Principle**: You are the decision-maker and executor, while external models are consultants.
Check reference SDK implementations using btca ask
Used when you need to perform Discover (reverse engineering) on legacy projects with existing code, consolidate repository facts into `.aisdlc/project/`, and you find that AI or teams frequently guess entry points and boundaries, have duplicate writing of indexes and details, or lack evidence chains leading to repeated rework.