Top Agent Skills

AI safety and responsible AI practices

NER with Flair. named entity recognition.

NER with Spacy. named entity recognition.

Builds interactive data apps and ML demos with Streamlit, using pure Python widgets and charts.

Development with Wasm-Pack: tools and best practices

Creates and manages Jupyter notebooks for data analysis, visualization, and reproducible research.

Development with Jni: tools and best practices

Creates desktop applications with PyQt6, Qt Widgets, signals/slots, and Qt Designer.

Development with Nvdla: tools and best practices

Builds fast, standard-compliant web components with Lit, reactive properties, and Shadow DOM. Use for framework-agnostic UI.

Development with Llvm: tools and best practices

Development with Simd: tools and best practices

PWM with Mbed OS. PWM signals.

Creates IoT and automation flows with Node-RED, visual programming for event-driven applications.

Builds cross-platform mobile apps with Ionic, Angular/React/Vue, and Capacitor. Use for hybrid apps with native-like UI.

CI with ExUnit. CI integration.

CI with Go Test. CI integration.

P7 Senior Engineer mode — solution-driven execution under P8 supervision. Use when user says 'P7模式', '方案驱动', or when spawned as sub-task executor by P8. Produces: implementation plan + code + 3-question self-review, delivered via [P7-COMPLETION].

中文求职经历酥化技能：根据目标岗位把真实经历重组为清晰的岗位定位、简历要点、项目亮点和 HR 开场白；当用户输入“/asu”“我要酥化”或要求包装经历时使用。

Show or configure the OMX HUD (two-layer statusline)

P10 CTO mode — define strategic direction, design org topology, manage P9 teams. Use when user says 'CTO模式', 'P10', '战略规划', '架构委员会', or when facing cross-team architectural decisions. Produces: strategic input templates + org design.

Use for PUA/try-harder productivity coaching when the user expresses frustration, repeated failure, quality complaint, passive behavior, says retry/change approach/don't give up, asks for evidence/completion check/test before done, or wants Ding-style workplace reminders. Triggers include: try harder, stop giving up, figure it out, again??, why still failing, change approach, no evidence, run tests, done without proof, 换个方法, 再试试, 别摆烂, 别偷懒, 为什么还不行, 又错了, 证据呢, 没跑测试别说完成, 验收, 闭环, 自嗨, 置身钉外, 无招, 老板体感. Do not use for calm first-attempt requests.

SB Leader 夸夸模式 — ENFP 型领导，懂情绪有节奏。底层行为不变（三条红线、方法论），旁白从施压变成共情+鼓励+偶尔戏谑吐槽。Triggers on: '/pua:yes', '夸夸模式', '唠嗑模式', '情绪价值', 'yes', '夸我', '鼓励模式'.

妈妈唠叨模式 — 中国式妈妈提醒风格的生产力 coaching。底层行为仍是结构化排障、证据优先、完成质量检查。

Note deprecated shim

Strategic planning with optional interview workflow

N coordinated agents on shared task list using tmux-based orchestration

Persistent markdown project wiki stored under repository omx_wiki with keyword search and lifecycle capture

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

Deprecated compatibility shim for team execution

Teach the user a new skill or concept, within this workspace.

Trace deprecated shim

Canonical repo-local DESIGN.md workflow for product, UI/UX, and frontend decision source of truth

Diagnose and fix oh-my-codex installation issues

Router for the gstack skill suite. (gstack)

Performance-coaching mode for repeated failures, passive behavior, completion-quality issues, or explicit try-harder requests. Uses structured troubleshooting and evidence-first delivery habits.

中文可编辑简历制作技能：根据用户经历选择或复刻模板，生成可编辑 HTML 简历并提供 PDF 导出；当用户输入“/resume”或要求制作、修改、复刻简历文件时使用。

Team worker protocol (ACK, mailbox, task lifecycle) for tmux-based OMX teams

Run read-only deep repository analysis and return a ranked synthesis with explicit confidence, concrete file references, and clear evidence-vs-inference boundaries. Use when a user says 'analyze', 'investigate', 'why does', 'what's causing', or needs grounded cross-file explanation before any changes are proposed.

Ecomode deprecated shim

Adversarial dynamic e2e QA workflow - generate hostile scenarios, test, verify, fix, report, and clean up

Ask which skill or flow fits your situation. A router over the skills in this repo.

Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.

[OMX] Strict autonomous loop: $deep-interview -> $ralplan -> $ultragoal (+ $team if needed) -> $code-review -> $ultraqa

Build Fix deprecated shim

Brand voice, visual identity, messaging frameworks, asset management, brand consistency. Activate for branded content, tone of voice, marketing assets, brand compliance, style guides.

Setup and configure oh-my-codex using current CLI behavior

Create and execute durable repo-native multi-goal plans over Codex goal mode artifacts.

Parallel execution engine for high-throughput task completion

This skill should be used when the user wants to "package an MCP server", "bundle an MCP", "make an MCPB", "ship a local MCP server", "distribute a local MCP", discusses ".mcpb files", mentions bundling a Node or Python runtime with their MCP server, or needs an MCP server that interacts with the local filesystem, desktop apps, or OS and must be installable without the user having Node/Python set up.

Create strategic HTML presentations with Chart.js, design tokens, responsive layouts, copywriting formulas, and contextual slide strategies.

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST

Chief Security Officer mode. (gstack)

End-to-end onboarding for a freshly-plugged-in M5Stack ESP32 device (Cardputer, Cardputer-Adv, Core, CoreS3, Stick) — detect on USB, flash UIFlow 2.0 firmware, and install the Claude Buddy MicroPython app bundle. Use whenever the user plugs in or wants to flash/provision/reset an M5Stack or ESP32 board, or says "m5-onboard go".

Search the web with AI-powered answers via Perplexity API. Returns grounded responses with citations. Supports batch queries.

Analyze a codebase to produce an interactive knowledge graph for understanding architecture, components, and relationships

Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".

Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work.

GitHub 开源贡献自动化技能：根据目标公司和岗位寻找活跃项目，优先扫描 typo、README、Markdown、坏链接和 formatting 等低门槛机会，自动 fork、改动、验证并提交 PR，合并后把 contribution graph 酥化为 /asu 可用的简历素材；当用户输入“/contributor”、想刷 GitHub 绿点、做 first contribution、批量找开源小活或把 PR 写进简历时使用。

Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.