Explore skills

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators.

This skill compiles diverse research inputs like papers, code, or notes into a complete Agent-Native Research Artifact (ARA), featuring cognitive and physical layers, an exploration graph, and grounded evidence. It's used to transform research into a structured, machine-executable knowledge package.

This skill records research provenance as a post-task epilogue, scanning conversation history at the end of a session to extract key decisions, experiments, and pivots. It writes these findings into the ara/ directory with user-vs-AI provenance tags, ensuring an auditable trace of the research project.

OpenAI's general-purpose speech recognition model supports 99 languages, offering transcription, translation to English, and language identification. It's ideal for robust, multilingual ASR, available in six model sizes.

Performs ARA Seal Level 2 semantic epistemic review on Agent-Native Research Artifacts, scoring six dimensions (evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, methodological rigor). It produces a constructive, severity-ranked report with a Strong Accept-to-Reject recommendation, to be used after Level 1 structural validation passes.

Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed.

Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization",

Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed.

Google SEO APIs: Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, and GA4 organic traffic. Provides real Google field data for Core Web Vitals, indexation status, search performance, and organic traffic trends. Use when user says "search console", "GSC", "PageSpeed", "CrUX", "field data", "indexing API", "GA4

Autonomous iterative research loop. Takes a topic, runs web searches, fetches sources, synthesizes findings, and files everything into the wiki as structured pages. Based on Karpathy's autoresearch pattern: program.md configures objectives and constraints, the loop runs until depth is reached, output goes directly into the knowledge base. Triggers on: "/autoresearch", "autoresearch", "research [to

Methodology modes for the Compound Vault. Lets the vault declare an organizational style (LYT / PARA / Zettelkasten / Generic) that wiki-ingest, save, and autoresearch consult before filing new pages. Reads `.vault-meta/mode.json`; defaults to `generic` (v1.6/v1.7 behavior) when absent. Per the May 2026 compass artifact, methodology support was priority gap 5 — no other Claude+Obsidian competitor

Create a company research brief with executive quotes, product strategy, and org context. Use when preparing for interviews, competitive analysis, partnerships, or market-entry work.