Results for “opportunity-score”

Detect and evaluate arbitrage opportunities across sportsbooks and prediction markets. Calculate guaranteed-profit scenarios, middle bets, and cross-platform price discrepancies. Use when comparing odds across books, calculating arb percentages, evaluating middle opportunities, or building odds-comparison workflows. Also trigger for 'arb bet', 'sure bet', 'arbitrage', 'odds comparison', 'middle bet', 'risk-free bet', or 'line shopping'.

当需要在众多机会中筛选出投入产出比最高的选项，以最小化风险并最大化潜在回报时

Draft outcome-led value proposition hooks for a target agency or pursuit using vault context and mission alignment. Use when user asks for messaging angles for capture — catalog skill from coreyhaines marketingskills pattern.

Use to compare BPO sites, vendors or partner teams fairly, adjusting for the work mix each is given before concluding anything about performance. Trigger for "compare our BPO sites", "which vendor is performing best", "site A scores lower than site B", outsourcer QBR packs, partner MI reporting, or setting contractual quality targets with a vendor.

Provides a single 0-100 cycle score blending VIX, SPY IV Rank, Put/Call ratio, and valuation percentile to determine offense vs. defense posture, based on Howard Marks' market cycle framework.

Mines a codebase for evidence-backed improvement opportunities, forcing two escalation gates to surface breakthrough ideas, and outputs a ranked portfolio with a plan seed without implementing.

Update or correct an existing skill file based on judge feedback or improved understanding.

Create new skills, modify and improve existing skills, and measure skill performance through iterative evaluation and benchmarking.

Automates multi-source enrichment of IPs, domains, URLs, and file hashes using VirusTotal, AbuseIPDB, Shodan, GreyNoise, URLScan.io, and MISP to provide contextual risk scoring and disposition recommendations for SOC analysts.

Rank an existing set of context chunks by relevance, diversity, freshness, and utility. Use when retrieval has already produced candidates that must be scored or reranked; use context-retrieval when the source corpus still needs to be searched.

Find and analyze arbitrage opportunities across prediction markets like Polymarket and Kalshi. Use when you need to match equivalent markets, compare prices, and verify whether a spread looks actionable.

Create product objectives, key results, initiatives, guardrails, and review cadence.

Use when identifying opportunities for incremental improvements in processes, systems, or practices. This skill provides a Kaizen-style framework for ongoing improvement across all areas of operation.

Imported skill _template from vercel

Score raw leads as HOT/WARM/COOL based on config-driven weights from agency.config.json

Score Analyzer

Identify, evaluate, and prioritize design opportunities using impact-effort frameworks and strategic criteria.

Access prediction market data from Polymarket and Kalshi, including markets, prices, trades, orderbooks, positions, and cross-platform market matching. Use when you need current odds, historical market data, or wallet-level prediction market analysis.

Validate whether an OSS tool is worth building through staged namespace, existing-solution, and feasibility review

Deterministically score, route, rank, and select at most one fully vetted Pleasur.ai Stage 01 blog-keyword candidate using product-fit-dominant business value, traffic opportunity, brand fit, DR-relative winnability, and a free-seeker penalty. Use only after BID and AIO evaluation are complete.

Brainstorm team-level OKRs aligned with company objectives — qualitative objectives with measurable key results. Use when setting quarterly OKRs, aligning team goals with company strategy, drafting objectives, or learning how to write effective OKRs.

Rice

Create a role interview kit with role outcomes, interview plan, scorecard, evidence prompts, and evaluation criteria.