23,094 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.
Investigate why two datasets that should agree don't — two pipelines writing the same logical table, a rollup vs the detail it aggregates, a dashboard vs its source, one environment vs another. Use when row counts, totals, or date ranges disagree and the question is what happened rather than just what differs. Covers…
Query spend and token activity on a live LiteLLM proxy. Shows daily usage broken down by user, team, org, tag, job, or model. Use when the user wants to see costs, token counts, request volume, or job-level attribution for a given date range.
Connect the Hyper MCP to run marketing end-to-end from Claude — Google, Meta, TikTok, Pinterest, Amazon & LinkedIn ads, organic social, SEO & AI-search research, competitor intel, ad creative, email, and analytics. 30 skills wrapping 100+ integrations and 500+ marketing tools.
★not rated 83▲
+1 12d agoA
tokens not measured
originalMIT
Report local Claude, Codex, Cursor, GitHub Copilot, Grok, Kimi, Z.AI, Alibaba, OpenCode Go, and Antigravity quota windows via the quota-axi CLI - remaining effective usable runway, percentages, reset times, cycle-average pace vs the reset clock, a per-scope selection signal, and provider status read from local auth…
mcp-stata - an agentic toolkit for empirical researchers. Gives AI agents native control over a local Stata installation, allowing agents to run do-files, inspect data, check stored results, and export graphs.
★not rated 81 3mo agoA
tokens not measured
AGPL-3.0
Access PostHog analytics, feature flags, experiments, error tracking, and insights directly from your AI coding tool. Optionally capture Claude Code sessions to PostHog LLM Analytics.
Kibana MCP Server with dynamic API discovery and comprehensive Elastic Stack integration. Runs locally from the @tocharianou/mcp-server-kibana npm package. Needs 4 environment variables to run.
★not rated 79 23d agoA
tokens not measured
originalApache-2.0
Industrial-grade predictive maintenance skills, agents, and workflows for the predictive-maintenance-mcp server. Provides domain expertise for vibration analysis, bearing/gear fault diagnosis, anomaly detection, ISO 20816-3 compliance, and diagnostic report generation.
Connect AI coding tools to LogClaw incidents, logs, and anomaly detections. Runs locally from the logclaw-mcp-server npm package. Needs 2 environment variables to run.
Canonical skillkit workflow served by the installed CLI. Read before auditing skill packs or analyzing skill usage, context cost, conflicts, coverage, and token burn.
Use this skill when the user asks to analyze data from CSV, JSON, Excel, or database exports — including exploring datasets, computing statistics, creating visualizations, finding patterns, cleaning data, or building dashboards. Trigger whenever the user provides a data file and wants insights, charts, or…
Generate an /insights-style HTML report across MANY of your agent coding sessions (Claude Code and OpenAI Codex): what you work on, how you use the agent, your wins, your friction points, and concrete fixes to become more effective — precise goal-setting, not trusting output blindly, scoping, context hygiene…
A multi-agent system for analysing public opinion about brands, companies, products, people, or events and producing Word, PDF, and interactive HTML reports.
18 AI-native GTM skills for founders and revenue teams: positioning, AI pricing, cold outreach, AI SDRs, enrichment, video outreach, launches, SEO, social selling, content-to-pipeline, UGC ads, paid creative, retention, partnerships, GTM engineering, and metrics.
Write fast, idiomatic lazy-API Polars in Python and answer natural-language data questions in one shot. Describes querying, analysis, and pandas-to-Polars translation.
★not rated 75▲
+1 17d agoA
tokens not measured
originalMIT
Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.
★not rated 75▲
+2 2d agoA
tokens not measured
originalApache-2.0
GlobalPercent — build a global-macro-probability panel for an investment research system. Merges public probability data from prediction markets (Polymarket + Kalshi), classifies every market into macro modules (monetary policy / macro economy / AI / etc.), and shows the whole market's expected-probability state at a…
★not rated 74 3d agoA134 tokens
originalApache-2.0
Load when the user asks for private agent interaction audits from local Codex/Claude Code traces, task profiles, tool-call decisions, collaboration bottlenecks, prompt/rule or automation-log audits, closeout retrospectives, or evidence-backed Skill/project-rule/Eval/SOP/OKF improvements.
Generate Gmail-compatible HTML performance weekly status reports from Argus CLI data. Use when asked to produce a weekly perf summary, create a performance status email, aggregate latency and throughput results across enterprise perf tests, or generate an HTML report for stakeholders. Covers…
Manage Substack publishing, subscribers, analytics, reader feeds, comments, and images through MCP. Runs locally from the substack-mcp npm package. Needs 3 environment variables to run.
★not rated 71▲
+1 3d agoA
tokens not measured
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: