A CLI-first autonomous coding agent where the actor never grades itself. Every edit is grounded in your repo's real topology and verified by an independent deterministic grader (drift, lint, verify-task, intent) before it ships. Closed-loop: comprehend → plan → execute → critique → replan. Also a passive MCP harness.
This repository also configures its own agents. See what sruja tells them →
Skill Claude CodeCodex needs its repo
Procedural workflows for working with the Sruja codebase. Teaches AI editors how to add components, validate changes, and follow patterns.
Skill Claude CodeCodex
This skill ensures AI and human share a design concept before writing code.
Skill Claude CodeCodex
Discovers architecture from codebases and authors Sruja DSL (repo.sruja). Use when discovering architecture, generating or refactoring repo.sruja, validating architecture against code, maintaining architecture docs, or when the user mentions architecture-as-code, C4, or .sruja files.
Skill Claude CodeCodex
Verification harness for any AI agent skill. Use with any other skills; before marking a task done, run verify-task. On failure, record a correction learning. Ensures lint, tests, drift, and intent checks pass regardless of which skill generated the code.
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: