From humanize
Facilitates iterative development with AI planning and independent AI code review via RLCR (Ralph-Loop with Codex Review).
How this skill is triggered — by the user, by Claude, or both
Slash command
/humanize:humanizeThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Humanize creates a feedback loop where AI implements your plan while another AI independently reviews the work, ensuring quality through continuous refinement.
Humanize creates a feedback loop where AI implements your plan while another AI independently reviews the work, ensuring quality through continuous refinement.
The installer hydrates this skill with an absolute runtime root path:
{{HUMANIZE_RUNTIME_ROOT}}
All command examples below use {{HUMANIZE_RUNTIME_ROOT}}.
Iteration over Perfection: Instead of expecting perfect output in one shot, Humanize leverages an iterative feedback loop where:
The RLCR (Ralph-Loop with Codex Review) loop has two phases:
Phase 1: Implementation
Phase 2: Code Review
codex review --base <branch> checks code quality[P0-9] severity markers0.114.0+ with codex_hooks enabled, Humanize installs a native Stop hook so exit gating runs automaticallyTransforms a rough draft document into a structured implementation plan with:
# With a plan file
"{{HUMANIZE_RUNTIME_ROOT}}/scripts/setup-rlcr-loop.sh" path/to/plan.md
# Or without plan (review-only mode)
"{{HUMANIZE_RUNTIME_ROOT}}/scripts/setup-rlcr-loop.sh" --skip-impl
After each round, write the required summary and stop/exit normally. Humanize's native Codex Stop hook handles review gating automatically.
Common Options:
--max N - Maximum iterations before auto-stop (default: 84)--codex-model MODEL:EFFORT - Codex model and reasoning effort for codex exec (default: gpt-5.5:high)codex review uses gpt-5.5:high--codex-timeout SECONDS - Timeout for each Codex review (default: 5400)--base-branch BRANCH - Base branch for code review (auto-detects if not specified)--full-review-round N - Interval for full alignment checks (default: 5)--skip-impl - Skip implementation phase, go directly to code review--track-plan-file - Enforce plan-file immutability when tracked in git--push-every-round - Require git push after each round--claude-answer-codex - Let Claude answer Codex Open Questions directly (default is AskUserQuestion)--agent-teams - Enable Agent Teams mode--yolo - Skip Plan Understanding Quiz and enable --claude-answer-codex--skip-quiz - Skip the Plan Understanding Quiz only--privacy - Disable methodology analysis at loop exit (default: analysis enabled)"{{HUMANIZE_RUNTIME_ROOT}}/scripts/cancel-rlcr-loop.sh"
# or force cancel during finalize phase
"{{HUMANIZE_RUNTIME_ROOT}}/scripts/cancel-rlcr-loop.sh" --force
"{{HUMANIZE_RUNTIME_ROOT}}/scripts/validate-gen-plan-io.sh" --input path/to/draft.md --output path/to/plan.md
Then follow the workflow in this skill to generate the structured plan content.
"{{HUMANIZE_RUNTIME_ROOT}}/scripts/ask-codex.sh" [--codex-model MODEL:EFFORT] [--codex-timeout SECONDS] "your question"
A good plan file should include:
# Plan Title
## Goal Description
Clear description of what needs to be accomplished
## Acceptance Criteria
- AC-1: First criterion
- Positive Tests (expected to PASS):
- Test case that should succeed
- Negative Tests (expected to FAIL):
- Test case that should fail
## Path Boundaries
### Upper Bound (Maximum Scope)
Most comprehensive acceptable implementation
### Lower Bound (Minimum Scope)
Minimum viable implementation
### Allowed Choices
- Can use: technologies, approaches allowed
- Cannot use: prohibited technologies
## Dependencies and Sequence
### Milestones
1. Milestone 1: Description
- Phase A: ...
- Phase B: ...
## Implementation Notes
- Code should NOT contain plan terminology like "AC-", "Milestone", "Step"
The RLCR loop uses a Goal Tracker to prevent goal drift:
codex - OpenAI Codex CLI (for review)Humanize stores all data in .humanize/:
.humanize/
├── rlcr/ # RLCR loop data
│ └── <timestamp>/
│ ├── state.md
│ ├── goal-tracker.md
│ ├── round-N-summary.md
│ ├── round-N-review-result.md
│ ├── finalize-state.md
│ ├── finalize-summary.md
│ ├── methodology-analysis-state.md
│ ├── methodology-analysis-report.md
│ ├── methodology-analysis-done.md
│ └── complete-state.md
└── skill/ # One-shot skill results
└── <timestamp>/
├── input.md
├── output.md
└── metadata.md
Use the monitor script to track loop progress:
source "{{HUMANIZE_RUNTIME_ROOT}}/scripts/humanize.sh"
humanize monitor rlcr # Monitor RLCR loop
0 - Success1 - Validation error124 - Timeout0 - Success1 - Input file not found2 - Input file is empty3 - Output directory does not exist4 - Output file already exists5 - No write permission6 - Invalid arguments7 - Plan template file not foundnpx claudepluginhub bbuf/kernel-pilot --plugin humanizeProvides RLCR loops for iterative AI implementation from plans, progress reviews, and Codex CLI code reviews until acceptance criteria met.
Generates feature specs, implementation plans with task checklists, and project loop infrastructure via interactive user interviews on scope, risk tolerance, and validation.
Reviews implementation Plan files in parallel using Codex, Gemini, and Claude to analyze validity, gaps, risks, and improvements. Invoke via /plan-review after plan creation.