By ianliuy
Humanize - An iterative development plugin that uses Codex to review Claude's work. Creates a feedback loop where Claude implements plans and Codex independently reviews progress, ensuring quality through continuous refinement.
Cancel active PR loop
Cancel active RLCR loop
Generate a structured flow-definition file for any task type
Generate idea, plan, and auto-start RLCR loop — full pipeline
Generate a repo-grounded idea draft via directed-swarm exploration
Selects required BitLesson entries for a specific sub-task. Use before execution for every task or sub-task.
Checks if a draft document is relevant to the current repository. Use when validating draft content for gen-plan command.
Checks plan relevance and compliance before RLCR loop. Use when validating plan files for start-rlcr-loop command.
Analyzes a plan and generates multiple-choice technical comprehension questions to verify user understanding before RLCR loop. Use when validating user readiness for start-rlcr-loop command.
Consult Codex as an independent expert. Sends a question or task to codex exec and returns the response.
Start an iterative artifact loop for non-code deliverables with Codex-based summary review.
Generate a structured flow-definition file for any task type using the artifact loop.
Full auto pipeline — generate idea draft, create plan, and start RLCR loop. Chains gen-idea → gen-plan-auto in one command.
Generate a structured implementation plan and auto-start RLCR loop. Wraps gen-plan with auto-start always enabled, plus RLCR parameter pass-through.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
No model invocation
Executes directly as bash, bypassing the AI model
No model invocation
Executes directly as bash, bypassing the AI model
Current Version: 1.16.0
Derived from the GAAC (GitHub-as-a-Context) project.
A Claude Code plugin that provides iterative development with independent AI review. Build with confidence through continuous feedback loops.
RLCR stands for Ralph-Loop with Codex Review, inspired by the official ralph-loop plugin and enhanced with independent Codex review. The name also reads as Reinforcement Learning with Code Review -- reflecting the iterative cycle where AI-generated code is continuously refined through external review feedback.
The loop has two phases: Implementation (Claude works, Codex reviews summaries) and Code Review (Codex checks code quality with severity markers). Issues feed back into implementation until resolved.
# Add PolyArch marketplace
/plugin marketplace add PolyArch/humanize
# If you want to use development branch for experimental features
/plugin marketplace add PolyArch/humanize#dev
# Then install humanize plugin
/plugin install humanize@PolyArch
Requires codex CLI for review. See the full Installation Guide for prerequisites and alternative setup options.
Generate a plan from your draft:
/humanize:gen-plan --input draft.md --output docs/plan.md
Or go full auto -- idea → plan → RLCR in one command:
/humanize:gen-idea-auto "Add undo/redo support"
/humanize:gen-plan-auto --input draft.md --output docs/plan.md --yolo
Refine an annotated plan before implementation when reviewers add CMT: ... ENDCMT comments:
/humanize:refine-plan --input docs/plan.md
Run the loop:
/humanize:start-rlcr-loop docs/plan.md
Monitor progress:
source <path/to/humanize>/scripts/humanize.sh
humanize monitor rlcr
MIT
npx claudepluginhub ianliuy/humanize-copilotLightweight Teams message skill: draft with context → fail-closed AI review (Copilot CLI / Codex) → send to self via Teams MCP. v1 is self-send only.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Evidence-gated AI coding workflow: scan → analyze → plan → TDD → execute → fix → verify → review, powered by Codebase Memory MCP >= 0.9.0 with optional Serena LSP intelligence. Includes blast-radius planning, test/cycle gates, independent review, and Windows Git Bash hook auto-resolution.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Lazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.