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codebase-recon

Appears in 5 awesome lists

Analyze git history to understand a codebase before reading any code — surfaces hotspots, bug magnets, bus factor, momentum, and high-risk files (hotspot ∩ bug-magnet) via auto-scaled analysis. Install: python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py --repo…

Open github.comyujiachen-y/codebase-recon-skill

Found in these lists

Awesome AI Coding Tools

Section: Code Search and Navigation · AI coding agent skill that analyzes git history to reveal hotspots, bug magnets, bus factor risks, and development momentum before reading any code.

FreshScore 85

Awesome Codex Plugins

Section: Development & Workflow · Analyze git history to understand a codebase before reading any code — auto-scales by repo size and cross-references hotspots with bug magnets to surface high-risk files, bus factor, and team momentum.

FreshScore 84

Awesome Codex Skills

Section: Development & Code Tools · Analyze git history to understand a codebase before reading any code — surfaces hotspots, bug magnets, bus factor, momentum, and high-risk files (hotspot ∩ bug-magnet) via auto-scaled analysis. Install: python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py --repo…

ActiveScore 75

Awesome Gemini CLI

Section: Development Tools & Utilities · AI agent skill that analyzes git history to reveal codebase hotspots, bug magnets, bus factor risks, and development momentum before reading any code. Works with Gemini CLI, Claude Code, Cursor, and 20+ other coding agents.

FreshScore 82

Awesome Llm Skills

Section: Development & Code Tools · Analyzes git history to reveal codebase hotspots, bug magnets, bus factor risks, team momentum, and development patterns before reading any code. By @yujiachen-y

ActiveScore 74

YYLO

Kanban-driven CLI orchestrator that runs Gemini CLI alongside Claude Code and Codex in parallel across isolated git worktrees, with a merge queue that reviews and merges verified task work. Git-native task state, per-agent worktree isolation, installable via npm. MIT.

In 6 listsDetails

alirezarezvani/claude-skills

380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory, research, business operations,…

In 5 listsDetails

Supercov

[supercov] - Code quality and test coverage for coding agents: Jev scores each source file so the agent knows what to fix first

In 4 listsDetails

Reflex

[reflex-search] - Local-first, full-text code search engine for AI coding agents. Trigram-indexed, sub-100ms queries, MCP server mode, 18 languages via tree-sitter.

In 3 lists

Vibe-Skills

Vibe-Skills is an all-in-one AI skills package. It seamlessly integrates expert-level capabilities and context management into a general-purpose skills package, enabling any AI agent to instantly upgrade its functionality—eliminating the friction of fragmented tools and complex harnesses.

In 3 lists

brooks-lint

AI code reviews grounded in six classic engineering books — decay risk diagnostics with book citations, severity labels, and four analysis modes (PR review, architecture audit, tech debt, test quality). Install: python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py…

In 4 lists

Pieces

Pieces is an AI-powered productivity tool for developers that enhances efficiency through a unified toolchain, offering on-device workflow assistance, intelligent code snippet management, and seamless integration with development tools and plugins website | discord

In 4 lists

jev-use

MCP ecosystem: Claude Code / Codex / pi plugin (MCP server + library, native pi extension) that hands agent steps needing no text output to Jev as typed judgments — untypeable and generation-needing questions are rejected before the call, low-confidence answers come back flagged as priors, and a…

In 3 lists