Luong NGUYEN

Set up or tune any dev machine, fresh or drifted, on macOS, Linux, or Windows: report what's missing, install only that, then fix PATH, duplicate runtimes, and shell config. Don't use for Dockerfiles, CI images, or single package installs.

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Build production-quality CLIs with language detection and a five-step approval-gated workflow. Use when wrapping an existing module or app. Don't use for GUI/TUI apps, web APIs, or one-off shell scripts.

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Check product and brand names for conflicts across trademarks, domains, social handles, and package registries. Returns a risk level and Proceed/Modify/Abandon verdict. Don't use for name brainstorming, logo design, or trademark filings.

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Generate a commit message, stage all changes, and push to remote after scanning for secrets, large files, and protected-branch risks. Skip for opening PRs, code review, or cutting releases/tags.

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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.

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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.

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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.

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Audit a stale, inherited, or messy codebase — deps, bugs, security, tests, CI, docs, UI/UX — then emit a phased, testable modernization plan. Read-only: plans upgrades, never applies them. Not for single-PR review, PRD-to-tasks, or UX-only audits.

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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.

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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.

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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).

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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.

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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).

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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).

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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.

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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).

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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.

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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.

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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.

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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.

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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.

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Author standardized AI cheatsheets in the awesome-cheatsheets format

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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.

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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.

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