Ramesh Kumar Chouhan
Community@rameshkumarchouhanr · India
Ia- name: upload-indus-appstore uses: yogeshpaliyal/[email protected] teacher
Agent Skills by Ramesh Kumar Chouhan
Showing 25 vetted skills indexed across 1 GitHub repositories.
tui-tester
Automates terminal UI testing of Gemini CLI behavior and visual output.
async-pr-review
Runs background PR reviews combining build checks, tests, and Gemini code analysis.
ci
Monitors GitHub Actions workflows and replicates CI failures locally for triage.
behavioral-evals
Create, debug, and promote behavioral evaluations that validate agent tool-choice decisions.
pr-address-comments
Fetches and summarizes GitHub pull request review comments for the current branch.
review-duplication
Detects duplicated logic and reinvented utilities during code reviews.
string-reviewer
Reviews user-facing strings in codebases against clarity, brevity, and style guidelines.
docs-writer
Write, review, and audit Markdown documentation following Gemini CLI style standards.
pr-creator
Creates GitHub pull requests following repository templates and branch safety rules.
github-issue-creator
Creates GitHub issues using repository templates and the gh CLI with proper labeling.
code-reviewer
Reviews local git changes and remote GitHub pull requests for correctness and maintainability.
docs-changelog
Generates and formats release changelog files from version and raw release notes.
agent-tui
Automate and test terminal UI applications through screenshot-driven interaction loops.
metrics
Analyzes time-series repository health metrics to identify trends and root causes.
prs
Manages Git staging and GitHub pull request lifecycle for automated bot workflows.
memory
Maintains persistent bot memory via a structured task ledger and decision log.
critique
Audits and fixes staged repository scripts and GitHub Actions workflows for robustness and security.
quality
Classifies GitHub issues as spam, empty, needs-info, feature, or actionable bug reports.
effort
Estimates implementation effort for GitHub issues as SMALL, MEDIUM, or LARGE.
code_explorer
Locates source files, related components, and test files for reported issues.
spec_generator
Generates structured Workable Spec JSON from GitHub issues to guide developer workers.
antigravity-support
Provides installation, setup, and migration instructions for Antigravity CLI.
skill-creator
Create, validate, and package Gemini CLI skills with scripts and templates.
greeter
Responds to hello requests with a fixed greeting message.
Frequently Asked Questions About Ramesh Kumar Chouhan
FAQPage SchemaWhat tasks can I accomplish with rameshkumarchouhanr's Gemini CLI skills?▼
You can create pull requests and GitHub issues from templates, review local or remote code changes, address PR comments, monitor GitHub Actions CI runs, test terminal UI behavior, generate changelogs, estimate issue effort, and detect code duplication during reviews.
Who are these skills designed for?▼
They target developers and maintainers working in the Gemini CLI repository who manage pull requests, triage issues, write documentation, run behavioral evaluations, and verify terminal UI output. Repository contributors and code reviewers benefit most from the PR lifecycle and review skills.
How do the CI and PR review skills work in practice?▼
The ci skill discovers GitHub Actions runs automatically from a branch name and verifies failures locally with fail-fast monitoring. The async-pr-review skill starts background PR checks and reports status later, while pr-address-comments resolves review feedback using the gh CLI.
What prerequisites or dependencies do these skills require?▼
Skills operate inside the Gemini CLI environment and its skill system. The pr-address-comments skill explicitly requires the gh CLI. Several skills assume access to a GitHub repository with Actions enabled, and agent-tui testing is invoked through the tui_tester subagent.
Do these skills support testing and quality evaluation?▼
Yes. The behavioral-evals skill creates, runs, and promotes evaluations for agent decision logic and regression tests. The tui-tester and agent-tui skills drive terminal interfaces programmatically, while the quality skill classifies incoming GitHub issues as spam, incomplete, or actionable.