Install prepare-pr for Codex to review finished work, update affected docs, check the branch name, commit only in-scope files and open the pull request, with you approving the branch, the commit and the push.

prepare-pr takes finished, tested work in a git repository to a ready pull request. It runs after the code works and moves through six steps in order: scope, review, docs, branch, commit, push and PR. At each key decision it stops and waits for an explicit answer. A new branch, a commit and a push each need their own yes, and approval for one step never covers the next.
What it does
Testing: section, in the repo's commit style.-u origin <branch> and runs gh pr create, filling the repo's PR template if there is one. No keeps the commit local and prints the commands to finish later.What it never does
git add -A, git add . or git commit -a.--no-verify, or amend or rebase unless you ask.What it relies on
scripts/pr_context.py gathers read-only git context as JSON: branch and default branch, merge base, staged, unstaged, untracked and conflicted files, commits on the branch, detected test commands, PR templates, an operation in progress, and the repo's commit and branch-name conventions.pr_context.py --scan-staged blocks staged secrets and .env or key files before every commit. .env.example is allowed.docs/plan-prompts/, then the commit messages. If none is clear, it asks.gh is optional and only needed to open the PR.The default branch policy protects the default branch and main or master. Teams with other long-lived branches, such as develop or release/*, can extend it in classify_branch().
Codex CLI prerequisite: PowerShell setup or WSL setup.
Install, then restart Codex:
$skill-installer install https://github.com/lowtouch-ai/krithi-skills/tree/main/skills/prepare-pr
Open Codex in the repository where the work is done and tested, and run:
$prepare-pr prepare a pull request for this change
Expect up to five questions, in this order: confirm the file scope, which review fixes to apply, whether to switch to a new branch, whether to commit the staged files with the proposed message, and whether to push and open the PR. The run ends with a report of the branch, commit, review results, test results, docs changed, PR link and the files left untouched.
For update and uninstall steps, see the krithi-skills README.
If you want the whole set instead of one skill, point the installer at the repository root:
$skill-installer install all the skills in the https://github.com/lowtouch-ai/krithi-skills/
This asks Codex to install every skill in the krithi-skills repository in one step, so you do not repeat the install for each one. Restart Codex afterwards so the new skills are picked up.
The set currently covers six skills:
prepare-pr: reviews finished work, checks the branch, commits in-scope files and opens the pull request with your approval at each step.migration-estimate: turns a codebase into PRDs, stories and a sprint estimate with human-team and Krithi timelines.plan-builder: turns a ticket into a Plan Mode prompt that changes no code.repo-readme-generator: creates or updates a README and documentation suite from verified repository evidence.appsec-static-audit: runs a source-code-only security audit with compliance mapping.wave-a11y-scan: runs a WAVE-style accessibility scan mapped to WCAG 2.x.Prefer to install one at a time? Use the single-skill command in the install section above.
About the Author

Rejith Krishnan
Founder and CEO
Rejith Krishnan is the Founder and CEO of lowtouch.ai, a platform dedicated to empowering enterprises with private, no-code AI agents. With expertise in Site Reliability Engineering (SRE), Kubernetes, and AI systems architecture, he is passionate about simplifying the adoption of AI-driven automation to transform business operations.
Rejith specializes in deploying Large Language Models (LLMs) and building intelligent agents that automate workflows, enhance customer experiences, and optimize IT processes, all while ensuring data privacy and security. His mission is to help businesses unlock the full potential of enterprise AI with seamless, scalable, and secure solutions that fit their unique needs.