Ar9av/obsidian-wiki

Claude History Ingest extracts knowledge from past Claude Code conversations and distills it into an Obsidian wiki. Use it to mine ~/.claude history, import session logs and memory files, and extract insights from previous coding sessions while skipping noisy tool and thinking blocks.

Code Understand builds a ranked, citation-backed focus map of a codebase — the files and symbols an architecture actually hangs on — using CodeGraph when available or a dependency-free builtin extractor otherwise. Use it to orient in an unfamiliar or large codebase before editing.

Codex History Ingest processes Codex CLI conversation history into an Obsidian wiki. Use it when you want to mine past Codex sessions, import your ~/.codex folder, or extract insights from coding sessions.

Copilot History Ingest extracts architecture decisions, debug notes, and patterns from GitHub Copilot CLI session history and distills them into searchable Obsidian wiki pages. Use it when you want to mine your Copilot sessions or capture new sessions since the last ingest.

Cross-Linker scans an Obsidian wiki and automatically discovers missing cross-references between pages, then inserts [[wikilinks]] to connect them. Use it after large ingestions or when pages feel disconnected to weave new content into the knowledge graph.

Daily Update runs the daily wiki maintenance cycle: checks source freshness, updates the index, and regenerates hot.md. Use when the user says /daily-update or when triggered by the launchd cron at 9 AM.

Graph Colorize rewrites the Obsidian graph.json colorGroups array to tint graph nodes by tag, folder, or visibility. Use it when a user asks to color the graph, color-code tags, or highlight visibility.

Hermes History Ingest mines Hermes agent history (memories and session logs) and distills it into durable knowledge in an Obsidian wiki, importing ~/.hermes content, extracting insights, and updating project/concept/skills pages while respecting privacy.

Implementation Validator checks whether an implementation matches its stated goal and returns a structured pass/warn/fail verdict with actionable issues. Use it when you need a second opinion on your own output or when a user asks to review an implementation.

LLM Wiki defines the foundational knowledge distillation pattern for building and maintaining an AI-powered Obsidian wiki using a three-layer architecture of raw sources, a distilled wiki, and a schema. Use it when setting up a knowledge base or planning wiki structure.

Memory Bridge browses and compares wiki knowledge by which AI tool originally produced it. Use it to explore what each AI tool knows, run diffs between tools, and surface cross-tool blind spots.

Obsidian Layout Adjustment restyles the Obsidian app UI through CSS snippets. Use it when a user asks to tune tabs, sidebars, note surfaces, properties, backlinks, graph panes, file explorer rows, or other visual elements, or when a CSS change didn't have the intended effect.

OpenClaw History Ingest mines past OpenClaw agent sessions and long-term memory, distilling durable knowledge into an Obsidian wiki. Use it when the user wants to import their ~/.openclaw folder, extract insights from previous OpenClaw conversations, or process their OpenClaw history.

Pi History Ingest extracts durable knowledge from Pi coding agent sessions and imports it into an Obsidian wiki. Use it when you want to mine past Pi sessions for insights, sync new or modified sessions from ~/.pi/agent/sessions, or ask things like "process my Pi history".

Session Brain builds and maintains a searchable topic graph over agent session history by clustering transcripts and history-only sessions using local TF-IDF, then writes an interactive graph for exploration. Use when you want to survey what you've been working on, find stale topics, or see how topics connect.

Session Search finds a past agent session by topic and loads its context into the current conversation. Use it to find which session covered a topic, when you last worked on something, or load a transcript.

Skill Creator guides users through creating new skills, modifying existing ones, and measuring skill performance with evals and benchmarks. Use it when you need to draft a skill from scratch, iterate on an existing skill, or optimize skill descriptions for better triggering.

Tag Taxonomy enforces consistent tagging across the Obsidian wiki using a controlled vocabulary. Use it to audit, normalize, and assign tags to wiki pages.

Vault Skill Factory distills mature, curated Obsidian wiki pages into a portable, self-contained agent skill (SKILL.md plus references/) written to a review directory for human inspection before installation. Use it when someone asks to package wiki knowledge as a reusable digital expert.

Wiki Agent ingests specific topics from a chosen AI agent's raw conversation history, searching past sessions for a query and distilling relevant blobs into the wiki. Use it when working in one agent and wanting to pull in how you solved something in another agent's history.

Wiki Capture saves the current conversation as a permanent, structured wiki note, classifying the content and placing it in the correct vault category. Use it when the user says "save this" or wants to turn the discussion into lasting knowledge, or use quick mode for fast staging.

Wiki Context Pack produces token-bounded, citation-ready context slices from an Obsidian vault for downstream agents or tasks. Use it when an agent needs bounded, relevant context from a vault without reading the whole vault.

Wiki Dashboard creates dynamic, queryable dashboard views of an Obsidian vault using Obsidian Bases or Dataview. Use it when you need a table, cards, or grouped view of notes by folder, tag, or computed property.

Wiki Dedup scans an Obsidian wiki for pages covering the same concept under different names and merges them. Use it when the user asks to deduplicate, find duplicate pages, or consolidate a vault.

Wiki Digest generates a periodic, newsletter-style summary of what was learned, updated, and connected in an Obsidian wiki. Use it when the user asks for a digest, weekly summary, or knowledge report over a specified period.