trackio-cli

Mega Skills Router: one skill that routes requests to the relevant skills among 5,964.

3 skills

Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO (which optimizes for search rankings), AEO optimizes for citation in LLM-generated responses. Ships 3 stdlib Python tools (aeo_audit.py for E-E-A-T + structure scoring, aeo_optimizer.py for content rewriting in conservative/balanced/aggressive modes, citation_tracker.py for local-first citation ledger), 3 references citing 7+ authoritative sources each (E-E-A-T methodology, per-LLM citation patterns, AEO-vs-SEO strategy), and industry-aware thresholds for 8 industries (saas/healthcare/finance/legal/ecommerce/b2b/media/education) with stricter YMYL calibration. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'E-E-A-T audit', 'LLM citation strategy', 'answer engine optimization'.

1 skill

Evidence-first reading of supplied documents — books, articles, PDFs, document sets. Five modes (quick, deep, map, feynman, book), claim/reason/evidence decomposition with four-level confidence labels, an evidence ledger, knowledge maps, and Feynman teach-back. Starts from material the user supplies; for discovering sources across the web use deep-research, and for citation-formatted briefs use research-summarizer.

1 skill

CEFR-leveled Swedish-learning mentor. Places the learner with a two-question probe (never trusting a vague self-label), builds a listening/reading/writing/speaking path, and recommends 3-6 vetted YouTube and podcast resources by level — Peter SFI, Lätt Svenska med Oskar, Radio Sweden på lätt svenska, Klartext, Fluent Fiction, Sommar i P1 — with a maintained catalog in references/swedish-resources.md and a hard never-invent-a-URL rule.

1 skill

YouTube transcripts, video search, channel browsing, playlist extraction, and new-upload monitoring via TranscriptAPI. Covers all YouTube data workflows: transcript extraction with timestamps, in-channel search, and content monitoring. BYOK — 100 free credits included.

1 skill

Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO (which optimizes for search rankings), AEO optimizes for citation in LLM-generated responses. Ships 3 stdlib Python tools (aeo_audit.py for E-E-A-T + structure scoring, aeo_optimizer.py for content rewriting in conservative/balanced/aggressive modes, citation_tracker.py for local-first citation ledger), 3 references citing 7+ authoritative sources each (E-E-A-T methodology, per-LLM citation patterns, AEO-vs-SEO strategy), and industry-aware thresholds for 8 industries (saas/healthcare/finance/legal/ecommerce/b2b/media/education) with stricter YMYL calibration. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'E-E-A-T audit', 'LLM citation strategy', 'answer engine optimization'.

Structured logging, distributed tracing, and metrics — correlate agent swarm activity with application telemetry

2 skills · 1 command · 1 agent

Query Trackio projects, runs, and metrics using the `trackio` CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric values from local Trackio databases. Supports both human-readable and JSON output formats. Covers project discovery, run inspection, metric querying, and system metrics. Designed for LLM agents and automation scripts.

1 skill

Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams

26 skills · 4 commands · 3 agents · 1 MCP server

Metrics collection, logging infrastructure, distributed tracing, SLO implementation, and monitoring dashboards

4 skills · 2 commands · 4 agents

Use Datadog directly in Claude Code through a preconfigured Datadog MCP server. Query logs, metrics, traces, dashboards, and more through natural conversation. This plugin is in preview.

5 skills · hooks

9 project management skills with 15 Python tools: pm-skills fork-orchestrator with agentic delivery loop (deterministic 8-lane router, Jira MCP snapshot bridge to Kanban flow metrics + Monte Carlo forecasts, delegation-governance gate, /cs-pm + /cs-grill-pm + /cs-pm-loop), senior PM, scrum master, Jira expert, Confluence expert, Atlassian admin, template creator, meeting analyzer, team communications. Bundled Atlassian Remote MCP.

9 skills · 3 commands · 1 agent · 1 MCP server