Luong NGUYEN

Plan a product from idea to sprint tasks in one run: idea-validator, prd-generator, tad-generator, tasks-generator, resuming from existing files. Don't use for one document alone (PRD, TAD, tasks) or only validating an idea.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Review website/app UX for humans and AX for AI/search; produce an evidence-backed audit and improvement plan across usability, brand, access, speed, conversion and discoverability. Don't use for UI builds, SEO-only edits, or legal certification.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Review a product codebase and landing page against 32 viral principles and produce a Virality Score plus ranked fixes. Use to audit virality or prioritize growth. Don't use for SEO, ASO, copywriting, or code review.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimize a website or app design in one run: capture the page once, audit usability, UX/AX, virality and agent readiness, merge overlaps into one prioritized report, apply fixes on opt-in. Don't use for one lens (dont-make-me-think, ux-ax-review).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Review or improve code — one skill, four modes: bug/security review (default), performance, clean-code audit, slop cleanup. Pass mode:review|perf|clean|cleanup or infer. Don't use for writing features or generating tests (use test-coverage).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Prepare a git repo before new work: review uncommitted changes, fix .gitignore, delete merged branches, end on clean main, or inspect one branch before deciding. Don't use for dead code, commit-and-push, releases, LICENSE files, or git how-tos.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimize App Store and Google Play listings via a 7-phase, plan-approval-gated ASO workflow (keyword strategy, metadata, localization). Don't use for web SEO, paid UA campaigns, or pre-submission compliance audits.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit iOS/macOS apps against App Store Review Guidelines before submission, with evidence-backed verdicts and fixes. Don't use for Google Play, general code review, or rejection appeals.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze and tune a running llama.cpp server for local coding agents: propose config (ctx, prompt cache, MTP), benchmark before/after, report deltas. Use to optimize llama-server for Claude Code or Aider. Don't use for vLLM, ollama, or non-llama.cpp.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate a .idd.yml by auto-detecting a repo's stack, test runner, and size. Use to init, setup, or configure IDD Stack, or set up IDD. Don't use for editing an existing .idd.yml, creating issues (use /issue-creator), or plain git/npm init.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run an autonomous triage-resolve-review-merge loop to auto-pilot the GitHub issue backlog, resolving everything until done with zero prompts. Don't use for single-issue work (/issue-resolver), triage (/issue-triage), or PR review (/issue-pr-review).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze one GitHub issue for root cause, complexity, and risk into .idd/analysis-N.json. Use when you need to analyze or scope issue #N. Don't use for creating issues (/issue-creator), triaging (/issue-triage), or resolving (/issue-resolver).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create structured GitHub issues from text, screenshots, or lists, with acceptance criteria and preserved reporter context. Use for filing bugs/features, batch creation, or template cleanup. Don't use for resolving, triaging, or deep issue analysis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Review a PR end-to-end with CI checks, fix cycles, and optional auto-merge. Use for PR review, cleanup, or readiness checks. Don't use for creating PRs, raw issue analysis, or non-PR code review.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create an atomic PR closing a GitHub issue end-to-end via a 6-step pipeline. Use to resolve, fix, or implement issue #N. Don't use for analysis without fixing (/issue-analysis), reviewing a PR (/issue-pr-review), or bulk backlog work (/auto-pilot).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Scan open GitHub issues for dependencies, priority, parallel work, and staleness. Use to prioritize the backlog or pick what to do next. Don't use for one-issue analysis (/issue-analysis), resolving (/issue-resolver), or creating (/issue-creator).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Convert any phased plan file, or a conversation about what to build, into labelled GitHub issues under one tracking epic mapping each issue to its source task. No plan file required. Don't use for writing plans, resolving issues, or triage.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Publish or refresh a few free-AI-credit offers from screenshots, X posts, or text — official sources win, X-first ones ship as early offers; validates, diffs, commits on approval. Don't use for hunting new offers, catalog re-checks, or bulk imports.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Re-verify active offers vs official sources, fix drifted terms, refresh evidence, then issue, PR, review, merge unattended; report-only/no-merge modes. Use for daily checks or stale-content issues. Don't use for adding or editing one offer, or CI.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Find top 10 new or improved free-AI-credit offers on X, Reddit, and the web, verify them officially, and open one review PR. Use for /offer-hunter or hunting new AI credits. Don't use for one known offer or catalog re-checks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Read the Free AI Credits directory — enumerate currently-claimable free AI credit offers, fetch per-offer terms and claim steps, and interpret the site's trust labels — using only static HTTPS GETs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create concise checklist cheatsheets from official tool docs. Use for docs URLs, setup guides, or updating existing cheatsheets. Don't use for long tutorials or API references.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Author standardized AI cheatsheets in the awesome-cheatsheets format

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Install, verify, and operate mdoctor on macOS and Debian/Arch-based Linux. Use when users ask to set up mdoctor, install dependencies, test branch builds on the current machine, run first health checks, troubleshoot install/runtime issues, or perform safe cleanup/fix workflows with mdoctor commands.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.