Codebase intelligence for TypeScript and JavaScript. Free static layer: unused code, duplication, circular deps, complexity hotspots, architecture boundaries. Optional paid runtime layer: hot-path review and cold-path deletion evidence from real production traffic. Rust-native, sub-second, zero-config framework support.
每个推荐都保留与其仓库、审计和安装路径的明确关联。
搜索结果: circular
英文目录Circular visualization in Python (Circos Plot, Chord Diagram, Radar Chart)
Self-contained floating chat widget with welcome screen, social links, meeting button, and message input. Single HTML file, zero dependencies.
Agent skills for Fallow codebase intelligence tool that helps AI agents detect unused code, duplication, circular dependencies, complexity hotspots, and architecture drift in JavaScript and TypeScript projects.
AI-powered architecture analysis and code intelligence. Detects circular deps, layer violations, dead modules, and more. Web UI + CLI.
Golang data structures — slices (internals, capacity growth, preallocation, slices package), maps (internals, hash buckets, maps package), arrays, container/list/heap/ring, strings.Builder vs bytes.Buffer, generic collections, pointers (unsafe.Pointer, weak.Pointer), and copy semantics. Use when choosing or optimizing Go data structures, implementing generic containers, using container/ packages, unsafe or weak pointers, or questioning slice/map internals.
Portable multi-source research with cross-source validation and an offline evidence ledger. Use for fact-checking, comprehensive research, or any question requiring multiple independent perspectives; work with the host agent's search tools and optionally add SandBase Tavily, Exa, Scholar, and Cloudsway coverage.
Analyze Android module graphs, detect circular dependencies, audit Gradle builds, and uncover architecture bottlenecks before they impact build performance.
d3 library to build circular graphs
Generates, optimizes, and validates Cypher 25 queries for Neo4j 2025.x and 2026.x.
Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes.
Multi-pass article review covering logic, evidence, flow, and polish. Systematic quality assurance before publication.