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預測市場預言機研究

研究預測市場作為產品、代理、儀表板及企業決策情報的數據來源或預言機信號。用於基於來源的市場隱含機率、注意事項及整合模式分析,不提供投資建議。當評估預測市場作為產品、代理或儀表板的數據來源或預言機信號時使用。

預測市場預言機研究 是什麼?

此技能專為開發者與AI代理設計,用於系統性研究預測市場,將其視為數據來源、預測輸入、預言機式信號或決策情報層。它提供了一個結構化的工作流程,涵蓋從定義決策目標、尋找相關市場與事件、記錄市場隱含機率(附時間戳與來源連結),到評估信號品質(流動性、價差、市場年齡、交易者/激勵集中度、解決權威、地理或帳戶限制)的完整步驟。此技能強調不可將市場價格視為客觀真理,並要求對比非市場來源(如文件、新聞、民調、研究、客戶數據或內部KPI)以進行交叉驗證。支援多種整合模式,包括研究助理、儀表板信號、代理記憶輸入、警報觸發及情境規劃,最終輸出包含決策上下文、市場來源、信號品質、對比來源、整合建議與注意事項的結構化報告。適用於Claude Code、Cursor、Codex等開發工具,尤其適合需要基於來源的市場分析以輔助決策,但避免自動交易或投資建議的場景。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/prediction-market-oracle-research

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

預測市場預言機研究 是做什麼的?

當預測市場被視為數據來源、預測輸入、預言機式信號或決策情報層時,使用此技能。

注意事項

  • 請勿將市場價格視為客觀真理。
  • 請勿提供投資建議或交易推薦。
  • 將場域機制、流動性、激勵措施及解決規則與隱含信號區分開來。
  • 指出操縱行為、流動性不足、陳舊市場及不明確的結果。
  • 對於鏈上或執行連結系統,在授予任何寫入權限之前,請先執行 llm-trading-agent-security。

研究工作流程

  1. 定義信號所要輔助的決策。
  2. 尋找相關的市場、事件、標籤及場域。
  3. 記錄市場隱含機率,附上時間戳記及來源連結。
  4. 評估信號品質:
    • 流動性
    • 價差
    • 市場年齡
    • 交易者/激勵集中度(如已知)
    • 解決權威
    • 地理或帳戶限制
  5. 與非市場來源進行比較,例如文件、新聞、民調、研究、客戶數據或內部KPI。
  6. 針對所述決策,建議該信號是否可用、弱或不適用。

整合模式

  • 研究助理:為人類分析師提供基於來源的脈絡。
  • 儀表板信號:市場隱含機率搭配內部指標。
  • 代理記憶輸入:帶有時間戳記的信號,可於日後檢索。
  • 警報輸入:當機率、價差或流動性超過閾值時發出通知。
  • 情境規劃:比較多個事件結果,而不自動執行交易。

輸出合約

請使用:

  1. 決策上下文
  2. 市場來源
  3. 信號品質
  4. 對比來源
  5. 整合建議
  6. 注意事項

最後以以下內容結束:

預測市場信號是資訊輸入,而非投資建議。

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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