Calculate and explain a "Grok Readiness Score" (0-100) for a project based on concrete signals: quality of AGENTS.md / project rules, quantity and validity of skills, test/CI presence, git hygiene, ignore configuration, and verification culture. Use when asked to "score", "readiness score", "grok score", "how agent…
Global hard standards for the user's scientific figures, manuscript plots, maps, GeoTIFF/raster visualizations, model-result charts, SHAP/ML figures, and submission-ready publication exports. Use whenever Codex creates, revises, reviews, audits, or writes code for any plotting or map task in any local project. Enforce…
Aggregate scattered experiment records from notebooks, logs, CSV metrics, and agent caches into a structured experimentallog.md. Inspired by PaperOrchestra's 4-phase aggregation pipeline. Use before claim-evidence-map to consolidate raw experiment evidence.
Use quando o usuário pedir uma análise completa de performance, check semanal, check diário, ou "como está {{COMPANYNAME}}". Cobre todas as seções do negócio em modo diário ou semanal.
Audit an entire website or web app project for launch readiness, SEO completeness, compliance pages, analytics, robots/sitemap setup, responsive behavior, content gaps, competitor-informed positioning, and production polish. Use when asked to review, improve, QA, prepare, or checklist a site before launch or…
Acts as a practical CFO, growth strategist, and operations analyst for founders and small businesses. Use whenever a user shares business numbers, revenue, expenses, ad spend, or a P&L; asks whether a business is profitable, sustainable, or running out of cash; asks about cash in vs cash out, burn, runway, margins…
A tool for turning real user comments into traceable findings about problems and opportunities. VOC means voice of the customer, and ABSA means analysing the sentiment and topic of specific parts of feedback.
Find the maximum sustainable QPS of an LLM inference service that meets a p50 e2e latency SLO using onlinereplay.py and a binary search. Use for maximum-QPS benchmarks, SLO-based performance tests, and optional serving configuration or feature tuning on local OpenAI-compatible servers.
This skill should be used when conducting evidence-led industry, market, competitive, value-chain, business-model, or investment research across any sector. It converts broad questions into a decision-oriented research brief; combines official statistics, company filings, trade data, expert/participant evidence, and…
A natural-language screener for shares listed in mainland China’s A-share market. It turns written investment filters into verified Pandadata API queries and returns matching stocks with supporting evidence.
Benchmark collection and evaluation workflow for agent model assignment reviews. Use when pulling benchmarks, evaluating cost/performance, or deciding which models to use for which agents.
Universal autonomous experimentation loop inspired by Karpathy's autoresearch. Give it any project with a measurable metric and tunable variables, and it runs experiments autonomously: modify, measure, keep or discard, repeat. Works for landing pages, ad campaigns, prompt engineering, RAG pipelines, checkout flows…
A query guide for reading monitoring data from Prometheus-compatible systems such as Prometheus, Thanos, Mimir, and VictoriaMetrics. Prometheus-compatible systems store time-based measurements about services, computers, containers, and Kubernetes.
Build or revise reader-first interactive data stories and visual essays in the spirit of The Pudding. Use for Pudding-style websites, scrollytelling, scroll-driven graphics, interactive data journalism, data-backed longform features, animated visual explanations, storyboards, or audits of work that feels like a…
Use agentkaizen to measure and prove whether your AI coding agent actually follows instructions. Works natively — no installation required. Use this skill when: you want to score a recent Codex or Claude Code session and check rule compliance (did it branch before work? stay within tool limits?); you changed AGENTS.md…
Use this skill when the user needs to query, analyze, automate, or operate Nonce mining resources: workspaces, farms, miners, agents, task batches, miner tasks, metrics, history, or operational actions. It provides code-first access to the complete Nonce MCP tool set so the agent can filter and aggregate data before…
A food and nutrition logging assistant for the Mojo app, a tracker for weight-loss journeys involving medicines such as Ozempic, Mounjaro, Wegovy, or Zepbound. It analyzes a meal from a photo or description and creates an import link.
Use when analyzing Claude Code session logs to extract insights, debug agent behavior, measure performance, or audit tool usage — provides jq recipes for the JSONL transcript format.
Query and analyze data in a Tower-managed Apache Iceberg lakehouse using the Tower CLI's built-in read-only SQL query command (tower catalogs query), and record what you learn about the data with tower catalogs knowledge. Use this skill whenever the user asks a question about their company or business data (revenue…
Analisi Function Point con metodologia FFPA (Fast Function Points Analysis - Gartner). Usa questa skill ogni volta che l'utente vuole misurare, stimare o contare i Function Point di un'applicazione o di un requisito. Si attiva quando l'utente menziona: function point, FP, FFP, FFPA, FPA, misura funzionale, sizing…
A downloader for running activities from COROS Training Hub, the web service that stores COROS training records. It saves activities as FIT files, a standard format for fitness data, and avoids downloading the same activity twice.
★not rated 2 1mo agoA19 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: