rederive

replica-skill is a set of eleven MIT-licensed Claude skills for researching and rebuilding an existing app. The skills reverse-engineer public pages, screenshots, store listings and a user's own account into screens, flows, components and an inferred data model; plan the stack, database schema and API; reconstruct the design system and application; add authentication, payments and integrations; test flows with Playwright; compare the result with the original; analyze linked user reviews for complaints; rebrand the clone; create launch materials; and deploy it. The skills pass work between stages through files in a project's replica/ directory and can be installed in Claude Code as a plugin, copied into Claude's skills directory, or run by pasting a SKILL.md into a chat. Included Python utilities use the standard library and cover screenshot diffing, feature-parity scoring, review analysis, contrast checking, codebase-name cleanup and store-listing checks. The project states that it rebuilds functionality and user flows rather than source code, proprietary assets, branding, copy, content or private APIs, and that it uses public sources and the user's own account without bypassing logins, paywalls or site terms. It requires Python 3.8 or newer, has no package-install requirement, and is distributed under the MIT license.

leanrea is an 8 KB skill file for coding agents that guides reverse engineering of compiled applications using ordinary command-line tools instead of an MCP server. It routes targets such as Electron and ASAR files, Mach-O binaries, native disassembly, Go binaries, Android APKs, WebAssembly, SQLite databases, network captures, firmware, and web applications to appropriate first commands; its procedures use strings, imports, extracted files, and call sequences to narrow the investigation. The skill also instructs agents to work on copies, batch shell probes, search hidden extracted directories, and label claims as seen, inferred, or unknown. It can be installed for supported agents with the skills CLI or manually by copying its plain-text SKILL.md file, and is MIT licensed. The repository reports a benchmark in which leanrea matched REA's accuracy with lower wall time, cost, turns, and token usage, while noting that the comparison used one model, one machine, and three repetitions per cell.

Reverse Skill is an open-source, client-neutral cybersecurity skills router for AI coding agents performing reverse engineering, authorized penetration testing, security research, and CTF work. It processes a task through structured routing rules and a primary master-routing workflow, initializes authorization and network scope before action, selects a scenario-specific skill, checks available tools, MCP servers, and scripts, and records a timeline, evidence-to-finding path, report, and field journal rather than relying on guessed commands. Supported scenarios include APK and mobile analysis, binary and .NET reverse engineering, frontend JavaScript and encrypted-parameter analysis, DSL-VM reverse engineering, HTTP capture and request replay, malware and YARA analysis, penetration testing, attack-chain orchestration, case review, CTFs, firmware and IoT security, patch-diff analysis, exploit development, EDR bypass research, API and GraphQL security, supply-chain and SBOM security, and LLM security. Its documented tool ecosystem includes JADX, Apktool, Frida, IDA Pro, radare2, Ghidra, BurpSuite, and YARA. The repository provides platform-specific setup and tool-index refresh scripts for Windows, Linux, macOS, and Kali Linux, with prerequisites including a JDK, Node.js, and Python. It supports Claude Code, Codex, Cursor, OpenCode, and other compatible clients while keeping client adapters separate from the routing core, and includes cross-platform CI, routing regression tests, structure and supply-chain checks, and generated skill-navigation indexes.

self-learning-skills is a meta-skill for AI coding agents, including Claude Code, Cursor, Codex, and agents that read AGENTS.md or similar standing-instruction files. It recognizes hard-won, reusable procedures such as non-obvious commands and recurring operational workflows, then captures them as skills, rules, or project instructions for later sessions. The capture includes known dead ends and excludes one-off details and secret values. The project stores learned procedures as new skills/<name>/SKILL.md files for Claude Code, Codex, and Agent Skills clients; as .cursor/rules/learned/<name>.mdc files for Cursor; or in AGENTS.md or project notes for other agents. It can be installed with the community skills CLI, as a Claude Code plugin, or manually by copying the relevant files.

Awesome Claude Skills is a curated GitHub resource covering reusable Claude Skills, plugins, tools, and related resources for Claude.ai, Claude Code, the Claude API, and other coding agents such as Codex, Cursor, Gemini CLI, Antigravity, and Windsurf. It organizes examples by areas including document processing, development, data analysis, communication, media, productivity, project management, security, and SaaS-app automation through Composio. The repository explains Skills as folders containing a SKILL.md file with YAML metadata and Markdown instructions, optionally accompanied by scripts, references, and assets. It documents progressive loading: agents initially see a skill's name and description, load the full instructions when relevant, and load supporting files on demand. It also distinguishes Skills, which define workflows and guardrails, from MCP servers and tools, which provide system access and individual actions. The list accepts contributions through documented quality and pull-request guidelines. The repository is licensed under Apache 2.0, while individual skills may use different licenses.