luongnv89

Manage AI agent fleets in a Rex terminal: tile root + workers in one tab, start/prompt/wait/read them, check what they do, steer fleet panes; `help` lists all. Don't use for Herdr, tmux, or one-off Rex tabs, splits or commands.

Write landing pages (PAS, AIDA, StoryBrand) from a brief or README, as HTML with privacy, terms, changelog, setup pages. Use for sales copy, hero sections, CTAs, README rewrites. Don't use for blogs, release notes, project docs, or coding mockups.

Publish or update a static site (gh-pages) on GitHub Pages via GitHub Actions in any repo: text or pre-built HTML in, workflow set up, live URL verified. Don't use for CI test pipelines, framework/SSG builds, or Netlify/Vercel hosting.

Create, update, or audit AGENTS.md (default) or CLAUDE.md agent instructions: set up, prune, add a rule, or merge CLAUDE.md or .cursorrules into one file Claude Code, Codex, and Cursor all read. Don't use for READMEs, skills, or subagents.

Generate App Store screenshots and header/search images for iPhone, iPad and Mac from a codebase or landing page, or re-render a set. Use when preparing a submission. Don't use for ASO keywords, review audits, icons, videos, or Google Play.

Review UI usability using Steve Krug's principles and produce a scannable report. Use for UX audits of screenshots, URLs, or code. Don't use for brand critique, WCAG audits, or backend/API review.

Build production-grade frontend interfaces with distinctive aesthetics and working code. Use for UI components, pages, or frontend features. Don't use for backend/API work or usability-only audits.

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.

Test a learner on a single Claude Code tutorial lesson (01-10) with 10 questions, scoring answers and flagging weak spots. Use before, during, or after a lesson. Don't use for whole-tutorial assessment or explaining a topic instead of testing it.

Comprehensive Claude Code self-assessment and learning path advisor. Runs a multi-category quiz covering 10 feature areas, produces a detailed skill profile with per-topic scores, identifies specific gaps, and generates a personalized learning path with…

Create or update CLAUDE.md files following best practices for optimal AI agent onboarding

Створення або оновлення файлів CLAUDE.md відповідно до найкращих практик для оптимального онбордингу AI-агента

Tạo hoặc cập nhật các file CLAUDE.md theo các thực hành tốt nhất để onboarding tác nhân AI tối ưu

按最佳实践创建或更新 CLAUDE.md 文件，以便为 AI agent 提供最优的项目入门上下文

Draft a blog post from ideas and resources. Use when users want to write a blog post, create content from research, or draft articles. Guides through research, brainstorming, outlining, and iterative drafting with version control.

Ensure all communication matches brand voice and tone guidelines. Use when creating marketing copy, customer communications, public-facing content, or when users mention brand voice, tone, or writing style.

Find Agent Skills for a goal the user cannot name yet, then export an installable bundle. Use when they ask which skills fit a project. Don't use for installing named skills, authoring skills, or catalog maintenance.

Sync every enabled repo in the curated skill index and open a confirmation-gated PR. Use when refreshing already-indexed sources. Don't use for adding new repos, improving a single skill, or installing skills locally.

Add GitHub skill repos to the ASM index: clone, audit, eval, regenerate index, rebuild catalog, open PR. Use when given GitHub URLs to onboard. Don't use for refreshing indexed repos (refresh-index), improving skills (skill-creator), or install.

Install an improved variant of one named skill: resolve it by local path, repo, or name, run skill-creator's retrofit on a throwaway copy, then install the improved result. Don't use for improving in place, upstream PRs, or plain asm install.

Create a skill or bring an existing one up to the same standard (validate + asm eval fix loop); run evals, tune triggering. Use when authoring, fixing, or retrofitting a skill. Don't use for invoking skills, writing prose, or Python scaffolds.

Refactor a too-long SKILL.md by progressive disclosure: measure token cost, classify every section KEEP/CUT/MOVE, shorten the body into references/ and scripts/, verify nothing was lost. Don't use for authoring new skills, eval retrofits, or prose.

Improve an open-source GitHub skill and open a friendly suggestion PR upstream: fork, run skill-creator's retrofit, attach asm eval before/after metrics. Don't use for local-only skills, authoring from scratch, bulk repos, or registry publish.

Validate a skill. Don't use for unrelated docs.

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).

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.

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).

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.

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).

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.

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).

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.

Research French mortgage rates → offline weekly HTML market report: bank averages, scenario matrix, leading indicators, sourced forecasts. No personal data. Don't use for a personal capacity calc (use capacite-emprunt-fr) or non-France loans.

Analyze French syndic quarterly charge-call PDFs (appels de fonds), persist extracted charges as a local KB, and generate one beautiful anomaly-focused HTML report. Don't use for AG convocations, tax notices, bank statements, or non-copropriété PDFs.

Generate French mortgage capacity per HCSF rules (35% DTI, 25-year cap) with live rates. Use when a buyer asks how much to borrow; outputs 3 scenarios (15/20/25 ans). Don't use for consumer credit, debt consolidation, non-France loans, tax advice.

Prepare French 2025 income-tax declaration filed in 2026: collect inputs/PDFs/profiles, fetch official rules, compute IR, render markdown. Don't use for tax optimization, filing/submission, non-France tax, or impots.gouv.fr login.

Ingest a French Assemblée Générale (AG) PDF and generate an interactive HTML report (Tailwind + Chart.js) with meeting info, résolutions, year-over-year budget, travaux progress, and a 5-point pre-vote briefing. Don't use for non-AG French docs (acte, bail),…

Author standardized AI cheatsheets in the awesome-cheatsheets format

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.

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.

Author standardized AI cheatsheets in the awesome-cheatsheets format

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.

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.

Publish or refresh one or a few free-AI-credit offers from screenshots or text — official sources win, unverifiable offers dropped, validates, diffs, commits on approval. Don't use for catalog-wide re-checks, scraping, or bulk imports.

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.

Fetch a markdown alternate of any textwiz.pro page by requesting its .md variant.

Canonical product facts for TextWiz — what it is, supported providers, pricing, and where to download.

Read TextWiz's llms.txt and llms-full.txt for complete product, setup, pricing, privacy, and FAQ context.

Benchmark this harness's live configuration (skills, MCP servers, settings included) and get a scored report with improvement suggestions

Evaluate the coding harness you are running inside (pi, opencode, claude-code, devin) on its live setup and current model, via bench setup run. Measures it with and without its skills, MCP servers and plugins on --ab, and reports which of them the run…

Delegate approved coding tasks to Pi subprocesses with free opencode defaults, model setup, live progress, and metrics. Don't use for direct edits, CI, or non-Pi agents.

Extract a design system from a screenshot (PNG/JPG/WEBP) or a live URL and produce a schema-compliant `design.v1.json` file plus a ready-to-use agent prompt for applying the design to any website/app. When run inside the sleek-ui repository, offers to add the…

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.