24,990 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Assess and rank climate risk (flood, drought, rainfall) for Kenyan counties from a natural-language question, grounded in Earth Engine data, population exposure, and retrieved Kenyan documents.
Campaign performance analysis for ProductClank agents. Use when asked to analyse campaign results, calculate ROI, compare campaigns, find what worked, identify patterns, or plan the next campaign strategy. Works in API mode with a ProductClank API key or in manual mode when the user pastes campaign data directly.
Native Databricks AI/BI Lakeview Dashboard patterns for Alpura. Load when building, editing, or reviewing any Databricks Dashboard — dataset SQL queries, widget configuration, counter tiles, chart tiles, filter widgets, parameter references, layout, and markdown header tiles. Also load when the user asks about…
Extract EastMoney sector fund-flow data from data.eastmoney.com/bkzj using browser-harness and Chrome CDP network interception. Use when Codex needs EastMoney industry sector list data, sector fund-flow rankings, or historical sector fund-flow detail data, especially requests mentioning bkzj, hy.html…
A general framework for analysing stocks in China, Hong Kong, and the United States using value-investing perspectives. Value investing means judging an investment by the worth of the underlying business rather than price movement alone.
A Chinese-language business analysis adviser covering common strategy, marketing, business-model, organisation, and problem-solving frameworks. Frameworks are structured methods such as SWOT, PEST, the 4Ps, and the business model canvas.
Search, compare, and analyze LLM model benchmarks using data from Artificial Analysis (artificialanalysis.ai). Use this skill whenever the user asks about model selection, model comparison, benchmark scores, pricing, speed, or wants to know which model is best for a task. Also use when the user mentions "Artificial…
Use when the user wants a pre-match prediction or betting analysis for an upcoming football match that has not been played yet — e.g. World Cup 2026 fixtures, "who will win", reading European bookmaker odds, Asian handicap / over-under, or Vietnamese requests like "soi kèo", "phân tích trận đấu", "dự đoán tỉ số", "kèo…
Run a TabPFN classification baseline, generate the first submission, rapidly probe features, then optimize with GBT ensembles, threshold tuning, and calibration. Use after tabpfn-explore has prepared the data and CV folds.
Generate polished, enterprise dashboard-style reports as HTML files (never Markdown). Use this skill whenever the user asks for any kind of report or written technical deliverable — including status reports, Jira / sprint / release reports, implementation reports, investigation reports, bug reports, root cause…
Acquire and analyze five-year American Community Survey (ACS) data using the urbnindicators package in R. Provides correct treatment of margins of error (MOEs), allows for interpolation, and returns human-readable variable names and an associated codebook. Use when the user wants ACS or Census data; mentions…
On-demand canary for how a team works. Measures a window of work against what it delivered (cycle time, token cost and agent time per merged PR or other unit), flags health ratios that look wrong (waiting vs working, test and build time, re-runs, cache writes and avoidable cache misses, context growth), checks whether…
Designer Toy (Collectible) Trend Analysis & Forecasting - Professional-grade harness for Designer Toy Collectible Market & Trend Forecasting with real-time data aggregation, recognized domain methods, academic research integration, and risk-disclosed outputs. Use this skill whenever the user asks about designer toy…
Report a Discord-formatted status dashboard of the fleet — master state, every worker's backend/model/uptime, and a summary footer. Trigger on the user typing "/status", "status?", "fleet status", "what's running", or anything semantically equivalent to "show me what's running right now.".
Pull pre-structured, cleaned data from 100+ platforms including Amazon, LinkedIn, Instagram, TikTok, YouTube, Reddit, Zillow, Crunchbase, and more. Returns clean JSON — no parsing required. Requires PROMODE=true or GROUPS config. Always prefer this over bd-browser for supported platforms — it is faster and cheaper.
A Cursor rule containing a Japanese-language procedure for analysing gross merchandise value, or the total value of goods sold. It describes Google Cloud login, a BigQuery query, and review of the results.
Universal adapter for SmartScout Amazon market intelligence. Pulls brands, products, sellers, subcategories, search terms, and relevancy data into a standardized schema any agent can consume.
Analyze OpenTelemetry traces for latency issues, error diagnosis, retry patterns, dependency bottlenecks, and trace integrity problems. Use when the user provides OTEL trace JSON files or asks about distributed system performance issues.
FASE 9 del pipeline de Planitor. Dual-LLM: Modelo A (analítico) evalúa desde perspectiva analítica-rigurosa y Modelo B (creativo) desde perspectiva estratégica-creativa. Planitor sintetiza ambas evaluaciones en un JUDGE-REPORT.json final con auto-fix. Incluye validación fiscal, scoring de completitud y feedback…
Main harness skill for Esports Tournament Fairness & Integrity Scoring comprehensive analysis. Use when user requests fairness assessment, integrity evaluation, tournament scoring, match-fixing risk analysis, or esports tournament governance evaluation. This skill orchestrates multiple specialized sub-agents to…
★not rated 5 3mo agoA72 tokens
originalMIT
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