ability.ai
Official@abilityai
Offers structured knowledge management and semantic synthesis capabilities for Obsidian-based research environments and personal knowledge base architectures.
Agent Skills by ability.ai
Showing 19 vetted skills indexed across 1 GitHub repositories.
elicitation-techniques
Probe user thinking and extract insights via structured cognitive interviewing techniques.
get-perspective-on
Extract Eugene's contrarian perspective on a topic via semantic search and synthesis.
integrate-recent-notes
Analyze recent notes against a knowledge base using local brain search.
search-vault
Search local Obsidian vault notes using keyword and semantic queries.
deep-research
Orchestrate autonomous research pipelines to extract insights and map connections into a knowledge base.
auto-discovery
Discover non-obvious cross-domain connections between notes by analyzing conceptual strength.
insight-capture-format
Define a standardized Markdown format for documenting unique insights in a knowledge base.
recall
Retrieve relevant knowledge from an Obsidian vault via multi-layer semantic search.
nano-banana-image-generator
Generate images from text prompts using Google's Gemini 2.5 Flash Image model.
analyze-kb
Analyze an Obsidian knowledge base structure and connectivity metrics.
epub-chapter-extractor
Extract EPUB chapters into separate markdown documents.
create-article
Generate long-form articles from knowledge base notes with tone and structure templates.
update-changelog
Appends session modifications to a master changelog markdown file for version control.
changelog-protocol
Generate dated changelog files documenting agent sessions with structured content.
refresh-index
Rebuild the FAISS vector index for updated semantic search accuracy.
synthesize-insights
Synthesize related notes into coherent narratives, frameworks, or arguments.
epistemic-classification
Classify information into confirmed findings, theoretical frameworks, hypotheses, and speculative synthesis.
self-diagnostic
Run read-only self-diagnostics on the Cornelius agent to verify skills, commands, and dependencies.
find-connections
Discover hidden connections and patterns between knowledge base notes using semantic search and network analysis.
Frequently Asked Questions About ability.ai
FAQPage SchemaWhat specific tasks can be performed using these knowledge management capabilities?▼
These capabilities enable semantic searching of local Obsidian vaults, extraction of EPUB chapters into markdown, synthesis of fragmented notes into coherent narratives, and epistemic classification of information into findings, frameworks, or hypotheses. It facilitates deep research by mapping connections between disparate notes and maintaining structured changelogs for session history.
Which personas benefit most from these research and synthesis functions?▼
Knowledge workers, academic researchers, and technical writers who maintain extensive personal knowledge bases in Obsidian will find these functions most beneficial. The system is designed for individuals who require rigorous epistemic classification, deep-dive research synthesis, and the ability to discover non-obvious patterns across large volumes of personal documentation.
What are the primary prerequisites for deploying these research functions?▼
The primary prerequisite is an existing Obsidian vault containing markdown-formatted notes. Users must also have a configured FAISS vector index to enable semantic search and retrieval. The system relies on local file access to your vault directory to perform indexing, connection mapping, and content synthesis tasks.