Rohit Ghumare

Apply interface craft when building or reviewing UI - motion, easing, timing, springs, component feel, and visual foundations. Use when building a component, animation, transition, hover or press state, modal, drawer, toast, or when polishing an interface so it feels right. Says "make this feel better", "add an animation", "polish the UI", "review this component".

日本語の概要は準備中です。原文の説明を表示しています。

Build the project's shared language and bounded contexts before writing code, so names stay consistent and the agent stops paraphrasing domain concepts. Produces a CONTEXT.md glossary and decision records. Use at the start of a project or feature, or when the codebase and the people describing it speak different languages.

日本語の概要は準備中です。原文の説明を表示しています。

Audit connected MCP servers for token overhead, redundancy, and security. Use when sessions feel slow or before adding new MCPs.

日本語の概要は準備中です。原文の説明を表示しています。

Decompose large-scale changes into independent units and spawn parallel agents in isolated worktrees. Use for migrations, refactors, codemods, and any change touching 10+ files with the same pattern.

日本語の概要は準備中です。原文の説明を表示しています。

Coordinate multiple Claude Code sessions as a team — lead + teammates with shared task lists, mailbox messaging, and file-lock claiming. Patterns for team sizing, task decomposition, and when to use teams vs sub-agents vs worktrees.

日本語の概要は準備中です。原文の説明を表示しています。

Auto-configure quality gates, hooks, and settings for a new project. Detects project type and sets up appropriate tooling. Use when onboarding a new codebase.

日本語の概要は準備中です。原文の説明を表示しています。

Capture a user-reported defect as a durable GitHub issue written in the project's own domain language. Explores the codebase in parallel for context but never leaks file paths or line numbers into the issue. Use when the user reports a bug conversationally, runs a QA pass, or says "file an issue", "log this as a bug", "capture this".

日本語の概要は準備中です。原文の説明を表示しています。

Track session costs, set budget alerts, and optimize token spend. Use to check costs mid-session or set spending limits.

日本語の概要は準備中です。原文の説明を表示しています。

Remove AI-generated code slop, unnecessary comments, and over-engineering from the current branch diff. Cleans up boilerplate, simplifies abstractions, strips defensive code, and in skill-file mode lints SKILL.md files for quality. Use when cleaning up code, simplifying, removing boilerplate, before committing, or when reviewing a skill before promoting it.

日本語の概要は準備中です。原文の説明を表示しています。

Track parallel work sessions and prevent confusion across multiple Claude Code instances. Every major step ends with a status line. Every question re-states project, branch, and task.

日本語の概要は準備中です。原文の説明を表示しています。

Apply clear-writing standards to any prose the agent produces - READMEs, docs, UI copy, error messages, commit and PR text, release notes. Use when writing or editing documentation, interface copy, or any text a human will read. Says "write the README", "improve this copy", "draft the docs", "word this error".

日本語の概要は準備中です。原文の説明を表示しています。

Optimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.

日本語の概要は準備中です。原文の説明を表示しています。

Compile a structured literature survey on any AI/ML topic. Agent curates a research bundle (taxonomy + sections + bibliography of real papers) from a public anchor resource, then a chosen LLM generates the survey artifact. Output target is a wiki page (markdown), not a one-off HTML — survey lands in `<wiki>/derived/surveys/<slug>.md` with full bibliography rows in `sources.md`. Provider-agnostic (Anthropic/OpenAI/OpenRouter/Fireworks/custom OpenAI-compat). Use when the user asks for a "survey", "literature review", "lit review", or "deep dive" on a technical topic.

日本語の概要は準備中です。原文の説明を表示しています。

Persistent memory system for Claude Code. Two-layer architecture (hot cache + knowledge wiki), safety hooks, /close-day end-of-day synthesis. Zero external dependencies.

日本語の概要は準備中です。原文の説明を表示しています。

LLM integration patterns including API usage, streaming, function calling, RAG pipelines, and cost optimization

日本語の概要は準備中です。原文の説明を表示しています。

CI/CD pipeline patterns for GitHub Actions, GitLab CI, testing strategies, and deployment automation

日本語の概要は準備中です。原文の説明を表示しています。

Monitoring and observability with OpenTelemetry, Prometheus, Grafana dashboards, and structured logging

日本語の概要は準備中です。原文の説明を表示しています。

Microservices design patterns including service mesh, event-driven architecture, saga pattern, and API gateway

日本語の概要は準備中です。原文の説明を表示しています。

Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring

日本語の概要は準備中です。原文の説明を表示しています。

React 19 patterns including Server Components, Actions, Suspense, hooks, and component composition

日本語の概要は準備中です。原文の説明を表示しています。

Web accessibility patterns for WCAG 2.2 compliance including ARIA, keyboard navigation, screen readers, and testing

日本語の概要は準備中です。原文の説明を表示しています。

Advanced git workflows including worktrees, bisect, interactive rebase, hooks, and recovery techniques

日本語の概要は準備中です。原文の説明を表示しています。

Route broad or ambiguous AgentKit SEO work to the right module while keeping context scoped. Use when a request spans multiple surfaces, asks for overall digital-presence strategy, involves provider or install architecture, needs agent-context planning, or the correct platform skill is unclear.

日本語の概要は準備中です。原文の説明を表示しています。

Next.js 14+ App Router patterns including RSC, ISR, middleware, parallel routes, and data fetching

日本語の概要は準備中です。原文の説明を表示しています。