Expert SRE investigator for incidents and debugging. Uses hypothesis-driven methodology and systematic triage. Can query Axiom observability when available. Use for incident response, root cause analysis, production debugging, or log investigation.
npx skills add https://github.com/axiomhq/skills/tree/main/skills/axiom-sreExpert SRE investigator for incidents and debugging. Uses hypothesis-driven methodology and systematic triage. Can query Axiom observability when available. Use for incident response, root cause analysis, production debugging, or log investigation.
This repo contains 2 individual skills — each has its own dedicated page.
Designs and builds Axiom dashboards via API. Covers chart types, APL and metrics/MPL query patterns, SmartFilters, layout, and configuration options. Use when creating dashboards, migrating from Splunk, or configuring chart options.
Runs metrics queries against Axiom MetricsDB via scripts. Discovers available metrics, tags, and tag values. Use when asked to query metrics, explore metric datasets, check metric values, or investigate OTel metrics data.
Explores websites via browser-act automation and packages discoveries into callable Skill packages (SKILL.md + scripts) — execute reliably and efficiently without re-exploration. Use when: user wants a reusable Skill for any website ('create/make/build a skill for X'), needs to understand a site's internal APIs ('what endpoint does X use', 'how does X load data'), or requires batch extraction at scale (hundreds+ records — forge a Skill first, then execute reliably). Differs from browser-act: produces reusable packages, not one-off execution. Triggers: 'explore API behind X', 'what endpoint does X use', 'create/forge a skill for [site]', 'build a tool for [site]', 'extract/scrape/crawl N items at scale', 'automate this permanently', 'make this reusable', 'too slow/fragile — package it', 'explore website internals', 'every day/week I have to...', 'monitor [site] for changes', 'browser-act-skill-forge'. Simulated human-operation automation within user's authenticated session.
Perform comprehensive code reviews with best practices, security checks, and constructive feedback. Use when reviewing pull requests, analyzing code quality, checking for security vulnerabilities, or providing code improvement suggestions.
A rule-based AI tool agent for deep learning training log analysis, metric diagnosis, tuning suggestions, plotting, and report generation.
Neural web search and content extraction using x402-protected APIs. Better than WebSearch for deep research and WebFetch for blocked sites. USE FOR: - Deep web research and investigation - Finding similar pages to a reference URL - Extracting clean text from web pages - Scraping sites that block standard fetchers - Getting direct answers to factual questions - Research requiring multiple sources - Crawling multiple pages from a website TRIGGERS: - "research", "investigate", "deep dive", "find sources" - "similar to", "pages like", "more like this" - "scrape", "extract content from", "get the text from" - "blocked site", "can't access", "paywall" - "what is", "explain", "answer this" - "crawl", "crawl site", "scrape entire site" Use `npx agentcash@latest fetch` for stableenrich.dev endpoints. Prefer Exa for semantic/neural search, Firecrawl for direct scraping.
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
Extract transcripts from YouTube videos and generate comprehensive, detailed summaries using intelligent analysis frameworks