A cross-provider AI orchestration system built in Rust, running natively across Claude Code, Codex CLI, GitHub Copilot, Antigravity CLI, and OpenCode.
monkey1wizard/Golem-Agents-Legion
Skill Claude Code
Single-source adversarial review method for plans, diffs, docs, decisions, and claims: steel-man first, refute by default under doubt, enforce evidence discipline, use APPROVE/REVISE/REJECT verdicts, stop at jidoka boundaries, and never treat NotRun as pass.
monkey1wizard/Golem-Agents-Legion
Skill Claude CodeCodex
Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page.
monkey1wizard/Golem-Agents-Legion
Skill Claude CodeCodex
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers.…
monkey1wizard/Golem-Agents-Legion
Skill Claude CodeCodex
Maintain the dual-axis NDJSON structure map for docs drift detection and sync. Use when code changes require doc-impact mapping, per-line NDJSON updates, reconcile scans, or live projection rendering from structure-map.ndjson.
monkey1wizard/Golem-Agents-Legion
Skill Claude Code
Write commit messages that follow this project's Conventional Commit format, and when the user's intent is to actually commit staged changes, generate the message via git-commit-msg rules and execute git commit with that exact message. Use whenever the user asks for a commit message, says git-commit-msg, git-commit…
monkey1wizard/Golem-Agents-Legion
Skill Claude CodeCodex
An installation procedure for the GAL command-line program and its machine setup. It checks whether GAL is already available, chooses an installation path for the operating system, and verifies the result.
monkey1wizard/Golem-Agents-Legion
Skill Claude CodeCodex
Search local repo-owned material first, then use optional local-notes backends only when they are ready. Activate before answering conceptual questions, proposing solutions, or planning note-adjacent work.
monkey1wizard/Golem-Agents-Legion
Skill Claude CodeCodex
Format Markdown consistently for this project. Use when writing or editing Markdown files, documentation, plans, notes, or README content.
monkey1wizard/Golem-Agents-Legion
Skill Claude CodeCodex
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
monkey1wizard/Golem-Agents-Legion
Skill Claude CodeCodex
Use OpenCLI for low-token, structured external retrieval when an existing site adapter matches the task. Prefer for repeatable research queries such as YouTube transcript, NotebookLM source access, Wikipedia summary, Hacker News search, and similar structured data retrieval tasks.
monkey1wizard/Golem-Agents-Legion
Skill Claude CodeCodex
Apply the Result pattern for expected failures and reserve exceptions for unexpected faults. Use when designing error handling, validation flows, parsing, or business-rule outcomes.
monkey1wizard/Golem-Agents-Legion
Skill Claude CodeCodex
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
monkey1wizard/Golem-Agents-Legion
Skill Claude CodeCodex
Apply structured logging conventions across languages. Use when adding logs, reviewing logging quality, or choosing log levels and log field structure.
monkey1wizard/Golem-Agents-Legion
Skill Claude CodeCodex
Explain branching logic, pipelines, algorithms, and multi-step processes as monospaced text decision-tree flowcharts that paste cleanly into PRs, issues, docs, and terminals. Use this whenever you describe how data flows through a multi-stage process, trace per-record control flow, document a pipeline or algorithm…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: