Agent Skills

---

name: cheat-seed

description: 跟用户对话讨论选题——**默认一次一个**，用户主动给主题或经历，AI 围绕用户的输入深挖、提炼角度、写一份 draft。不是 AI 拿三个开放问题追用户，也不是一次给 5 个候选。触发词："找选题"/"我想做一条 X"/"最近有个想法"/"seed"/"启动种子"。可选 batch 模式：`/cheat-seed --batch 5` 走旧的 brainstorm 5 候选 + 写 5 draft 流程。

---

name: cheat-shoot

description: 登记一条视频已拍摄。**建 video folder + 询问实际拍摄稿是否与 scripts/<id>.md 一致 + buffer +1**。与 cheat-publish 配对：拍了进队列，发了出队列。触发词："拍了"/"拍了 X"/"shot"/"shot it"/"已拍 X"/"录完了"。

---

name: cheat-status

description: cheat-on-content 的状态看板。显示当前模式 / rubric 版本 / 校准进度 / 待复盘 / pool 状态 / 是否该升级 SQLite / 是否该 bump rubric。**任何时候都可调，无副作用**。触发词："状态"/"看板"/"status"/"我现在该做什么"/"进度怎么样"。

---

name: cheat-trends

description: 从配置的热点源（HN / Reddit / YouTube trending / B 站热门 / 等）抓今天的热门话题，去重 + 粗打分 + 写入 candidates.md。**绝大部分人没有候选池——这是让"我没素材"问题在 onboarding 第二步就消失的钥匙**。触发词："抓热点"/"fetch trends"/"今天有什么可做的"/"trending now"/"找选题"。

---

name: swarms

description: Build agents and multi-agent systems with the Swarms framework — the Agent class, tools, autonomous loops, memory, and the 15+ multi-agent architectures (SequentialWorkflow, ConcurrentWorkflow, GraphWorkflow, HierarchicalSwarm, SwarmRouter, and more). Use whenever writing, reviewing, or debugging code that imports `swarms`.

---

name: deep-analysis

description: 个股深度分析的核心工作流。当用户要求"深度分析 / 全面分析 / 帮我看看 / 值不值得买 / DCF / 机构建模 / 首次覆盖 / 投委会备忘录"等涉及个股研究的请求时触发。覆盖 A 股、港股、美股，产出 22 维数据 + 66 位大佬量化评审 + 6 种机构级估值建模 (DCF/Comps/LBO/3-Stmt/Merger) + 7 种研究产物 (首次覆盖/财报解读/催化剂日历/投资逻辑追踪/晨报/量化筛选/行业综述) + 6 种决策方法 (IC Memo/DD/Porter/单位经济/VCP/再平衡) + 杀猪盘检测，最终生成 Bloomberg 风格 HTML 报告 + 社交分享战报。关键词：股票、个股、深度分析、估值、DCF、comps、首次覆盖、IC memo、杀猪盘、龙虎榜、akshare。

---

name: investor-panel

description: 66 位投资大佬评审团。给定一只股票的 dimensions.json 和 raw_data.json，让 66 位投资者各自按自己的方法论打分并输出 Pydantic Signal（signal/confidence/score/verdict/comment）。覆盖经典价值派、成长投资派、宏观对冲派、技术趋势派、中国价投派、A股游资派、量化系统派、科技领袖派、AI 卡位猎手 9 大流派。当用户请求"评审团/65 大佬怎么看/某某会买吗/做一次大佬投票"时使用。

---

name: lhb-analyzer

description: 龙虎榜深度分析器。识别游资席位、判断机构 vs 游资博弈、对照同板块龙虎榜找辨识度龙头。当用户问"谁在买这只票/最近龙虎榜怎么样/X游资有没有上榜/这是不是X的票"时使用。

---

name: trap-detector

description: 杀猪盘检测器。当用户提到"朋友推荐"、"群里说"、"老师带"、"内幕消息"、"小红书 / 抖音看到推荐"等关键词，或显式要求"看看是不是杀猪盘 / 检测一下风险 / 这只票安全吗"时使用。扫描 8 个信号给出风险评级 🟢🟡🟠🔴。

---

name: uzi

description: A-share, Hong Kong, and US stock analysis skill for deep research, quick scans, investor panel review, hot-money/LHB analysis, trap detection, valuation, IC memos, and Bloomberg-style HTML reports.

---

name: asset-gen

description: Generate visual assets from text prompts: PNG images (Gemini / xAI Grok, or local Qwen-Image when installed), GLB 3D models (Tripo CLI), rigged characters, retargeted animations, and frame-by-frame animated sprites, plus background removal. Use whenever a game needs generated art.

---

name: browser-use

description: Operate and verify webpages in the OpenSquilla Desktop sidebar using the conversation-owned browser MCP tools. Use for interactive browsing, forms, page navigation, and visual checks.

---

name: deep-research

description: Multi-round research with explicit methodology, evidence tracking, and citation-tagged synthesis. Trigger on 'deep dive', 'research report', 'literature review', 'investigate X across sources', 'multi-round investigation'. Distinct from the `summarize` skill, which is a single-pass condensation; this skill maintains a state file across iterations, tracks coverage, and produces a long-form report with per-claim citations. Three execution stages: plan (scope into sub-questions), iterate (record evidence per round), compile (synthesize report). The skill itself does not fetch the web — it tells the host agent which fetches to perform via OpenSquilla's existing web tools, and records what comes back.

---

name: docx

description: Read, inspect, edit, or create Microsoft Word `.docx` documents, including structured text extraction, style-preserving edits, tracked-change review, and generation from a brief.

---

name: github

description: GitHub operations via `gh` CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available), bulk operations across many repos (script with gh api), or when gh auth is not configured.

---

name: html-coder

description: Expert HTML development skill for building web pages, forms, and interactive content. Use when creating HTML documents, structuring web content, implementing semantic markup, adding forms and media, working with HTML5 APIs, or needing HTML templates, best practices, and accessibility guidance. Supports modern HTML5 standards and responsive design patterns.

---

name: pdf-toolkit

description: Structured `.pdf` operations: extract text/tables, merge pages from multiple PDFs, split a PDF by page ranges, fill PDF form fields, and generate fresh PDFs from JSON. Trigger when the user wants deterministic programmatic PDF work — examples: pull tables from a report, combine three PDFs, extract pages 5-12, fill a tax form, or build a new PDF from data. This is the single public PDF entry and uses pypdf, pdfplumber, and reportlab.

---

name: pptx

description: Read, inspect, edit, or create PowerPoint `.pptx` presentations, including text extraction, template-preserving changes, slide review, and generation from a brief.

---

name: skill-creator

description: Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory (moving files to references/ or scripts/, removing stale content, validating against the AgentSkills spec). Triggers on phrases like "create a skill", "author a skill", "tidy up a skill", "improve this skill", "review the skill", "clean up the skill", "audit the skill".

---

name: sub-agent

description: Delegate a self-contained task to a coding assistant through a non-interactive background process. Use for feature development, code review, refactoring, and tasks requiring substantial file exploration.

---

name: xlsx

description: Read, inspect, edit, or create Microsoft Excel `.xlsx` workbooks, including structured data extraction, formula-aware cell edits, and workbook generation from rows.

---

name: aws-advisor

description: Expert AWS Cloud Advisor for architecture design, security review, and implementation guidance. Leverages AWS MCP tools for accurate, documentation-backed answers. Use when user asks about AWS architecture, security, service selection, migrations, troubleshooting, or learning AWS. Triggers on AWS, Lambda, S3, EC2, ECS, EKS, DynamoDB, RDS, CloudFormation, CDK, Terraform, Serverless, SAM, IAM, VPC, API Gateway, or any AWS service. Do NOT use for non-AWS cloud providers or general infrastructure without AWS context.

---

name: cloudflare-deploy

description: Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare. Do NOT use for deploying to Vercel, Netlify, or Render (use their respective skills).

---

name: component-common-domain-detection

description: Finds duplicate business logic spread across multiple components and suggests consolidation. Use when asking "where is this logic duplicated?", "find common code between services", "what can be consolidated?", "detect shared domain logic", or analyzing component overlap before refactoring. Do NOT use for code-level duplication detection (use linters) or dependency analysis (use coupling-analysis).