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ar9av/wiki-research

Effectuer des recherches autonomes sur un sujet via des recherches web multi-tours, synthétiser les résultats et les classer dans le wiki Obsidian.

Qu'est-ce que wiki-research ?

Cette compétence permet à un agent IA de réaliser des recherches approfondies et autonomes sur un sujet donné en utilisant des recherches web multi-tours. Elle est conçue pour les utilisateurs d'Obsidian qui souhaitent enrichir leur base de connaissances personnelle avec des informations structurées provenant du web. L'agent effectue plusieurs requêtes de recherche, synthétise les informations trouvées et crée un fichier markdown bien organisé dans le dossier désigné du wiki Obsidian. Elle est idéale pour les prompts comme « /wiki-research [sujet] », « recherche X », « trouve tout sur Y », « fais une plongée profonde sur Z » ou lorsque l'utilisateur demande des connaissances exhaustives sourcées sur le web, directement intégrées dans son wiki.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/ar9av/obsidian-wiki/tree/main/skills/wiki-research

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Documentation

Que fait wiki-research ?

Effectuer des recherches autonomes sur un sujet via des recherches web multi-tours, synthétiser les résultats et les classer dans le wiki Obsidian. Utilisez cette compétence lorsque l'utilisateur dit « /wiki-research [sujet] », « recherche X », « trouve tout sur Y », « fais une plongée profonde sur Z », « recherche autonome sur X » ou souhaite obtenir des connaissances exhaustives sourcées sur le web directement classées dans son wiki.

Fonctionnement

  1. Déclenchement : L'utilisateur lance la compétence avec une commande comme /wiki-research [sujet] ou une phrase équivalente.
  2. Recherche multi-tours : L'agent effectue plusieurs recherches web pour rassembler des informations complètes sur le sujet.
  3. Synthèse : Les résultats des différentes recherches sont synthétisés en un résumé structuré.
  4. Création du fichier : Un fichier markdown est créé dans le répertoire du wiki Obsidian (par défaut content/).
  5. Structuration : Le fichier inclut des sections comme ## Résumé, ## Détails, ## Sources, et ## Tags, adaptées au sujet traité.

Configuration

  • Répertoire du wiki : content/ (ou personnalisé via la variable d'environnement OBSIDIAN_WIKI_DIR).
  • Format de sortie : Fichier markdown (.md) nommé avec le sujet en kebab-case (exemple : technologies-ia.md).
  • Sources : Toutes les sources sont citées dans la section ## Sources.

Exemple d'utilisation

/wiki-research intelligence artificielle

Cela effectuera des recherches web sur l'intelligence artificielle, créera un fichier intelligence-artificielle.md dans le dossier content/ avec un résumé structuré.

Limites

  • La compétence dépend de la qualité des résultats de recherche web.
  • Les sujets très larges peuvent nécessiter plus de tours de recherche.
  • Assurez-vous que le répertoire du wiki existe et est accessible en écriture.

Notes techniques

  • Utilise l'outil de recherche web par défaut de l'agent.
  • Fonctionne avec Claude Code et d'autres agents compatibles.
  • La compétence est destinée à un usage personnel pour l'enrichissement du wiki.

Voir aussi

  • Obsidian - Plateforme de prise de notes.
  • Documentation de l'agent pour la personnalisation des outils de recherche.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

ar9av/claude-history-ingest

Ingest Claude Code conversation history into the Obsidian wiki. Use this skill when the user wants to mine their past Claude conversations for knowledge, import their ~/.claude folder, extract insights from previous coding sessions, or says things like "process my Claude history", "add my conversations to the wiki", "what have I discussed with Claude before". Also triggers when the user mentions their .claude folder, Claude projects, session data, past conversation logs, local-agent-mode sessions, or audit logs.

ar9av/codex-history-ingest

Ingest Codex CLI conversation history into the Obsidian wiki. Use this skill when the user wants to mine their past Codex sessions for knowledge, import their ~/.codex folder, extract insights from previous coding sessions, or says things like "process my Codex history", "add my Codex conversations to the wiki", or "what have I discussed in Codex before". Also triggers when the user mentions .codex sessions, rollout files, session_index.jsonl, or Codex transcript logs.

ar9av/copilot-history-ingest

Ingest GitHub Copilot CLI session history into an Obsidian wiki as distilled knowledge pages. Use this skill when the user wants to capture their Copilot CLI sessions into a personal wiki — extracting architecture decisions, debug notes, and patterns into searchable Obsidian pages. Triggers on phrases like "ingest my copilot sessions into obsidian", "add my copilot history to my wiki", "pull my copilot session history into the vault", "capture what I've learned from copilot into obsidian", "just the new sessions since last time", or "mine patterns across my copilot sessions". Also triggers when the user mentions session-store.db, ~/.copilot/session-state, or VS Code copilot-chat transcripts in the context of building a wiki or knowledge base. Does NOT trigger for general copilot usage questions, searching sessions, or backing up history.

ar9av/cross-linker

Scan the Obsidian wiki and automatically discover missing cross-references between pages. Use this skill when the user says "link my pages", "find missing links", "cross-reference", "connect my wiki", "add wikilinks", "what pages should be linked", or after any large ingestion to ensure new pages are woven into the existing knowledge graph. Also trigger when the user mentions "orphan pages" in the context of wanting to connect them, or says things like "my wiki feels disconnected" or "pages aren't linked well". This is a write-heavy skill — it actually modifies pages to add links, unlike wiki-lint which just reports issues.

ar9av/daily-update

Run the daily wiki maintenance cycle: check all source freshness, update the index, and regenerate hot.md. Use this skill when the user says "/daily-update", "run the daily update", "update everything", "morning sync", "refresh the wiki index", or when triggered by the launchd cron at 9 AM. Also use to set up or verify the cron + terminal notification infrastructure for the first time ("set up the daily cron", "install the terminal notification", "how do I get the morning reminder?").

ar9av/data-ingest

Ingest any raw text data, conversation logs, chat exports, or unstructured documents into the Obsidian wiki. Use this skill when the user wants to process data that isn't standard documents or Claude history — things like ChatGPT exports, Slack threads, Discord logs, meeting transcripts, journal entries, CSV data, browser bookmarks, email archives, or any raw text dump. Triggers on "ingest this data", "process these logs", "add this export to the wiki", "import my chat history from X". This is the catch-all for any text source not covered by the more specific ingest skills.

ar9av/graph-colorize

Color-code the Obsidian graph view by rewriting `.obsidian/graph.json` colorGroups. Use this skill when the user says "color my graph", "color code obsidian", "colorize the graph", "color the graph by tag", "color by category", "highlight visibility in graph", "make the graph colorful", "distinguish tags in graph", or wants nodes in Obsidian's graph view tinted by tag, folder, or visibility. Generates a `colorGroups` array from the vault's actual tags/categories and merges it into the existing graph.json without clobbering other graph settings. Always backs up first.

ar9av/hermes-history-ingest

Ingest Hermes agent history into the Obsidian wiki. Use this skill when the user wants to mine their past Hermes sessions for knowledge, import their ~/.hermes folder, extract insights from previous Hermes conversations, or says things like "process my Hermes history", "add my Hermes memories to the wiki", "ingest ~/.hermes", or "what have I worked on in Hermes". Also triggers when the user mentions Hermes memories, Hermes sessions, ~/.hermes/memories, or Hermes skill logs.

ar9av/impl-validator

Validate whether an implementation matches its stated goal. Use this skill when a skill or agent wants a second opinion on its own output, when the user says "check this implementation", "validate what you did", "is this correct?", "review the output", or "did you do this right?". Also spawned automatically as a subagent by other skills (memory-bridge, daily-update) to self-check their outputs before presenting to the user. Returns a structured pass/warn/fail verdict with specific actionable issues.

ar9av/ingest-url

Fetch a URL and distill its content into the Obsidian wiki. If invoked from inside a project directory, the page lands directly in that project's folder (creating the project in the vault if needed). Otherwise it goes to misc/ and gains project affinity over time. Use this skill when the user says "/ingest-url <url>", "add this URL to the wiki", "ingest this link", "save this page", or pastes a URL and says "add this" or "save this to my wiki".

ar9av/llm-wiki

The foundational knowledge distillation pattern for building and maintaining an AI-powered Obsidian wiki. Based on Andrej Karpathy's LLM Wiki architecture. Use this skill whenever the user wants to understand the wiki pattern, set up a new knowledge base, or needs guidance on the three-layer architecture (raw sources → wiki → schema). Also use when discussing knowledge management strategy, wiki structure decisions, or how to organize distilled knowledge. This is the "theory" skill — other skills handle specific operations (ingesting, querying, linting).

ar9av/memory-bridge

Browse and compare wiki knowledge by which AI tool originally produced it. Use this skill when the user says "/memory-bridge", "browse codex memory", "what did codex know about X", "show me claude knowledge", "cross-tool memory", "what does hermes know that claude doesn't", "show me knowledge from <tool>", "compare my AI tool memories", or wants to explore knowledge gaps between tools. Works from any project. Diff mode ("what's different", "unique to codex", "gaps between tools") is the killer feature — it surfaces blind spots between tools that the user may not know exist.

ar9av/obsidian-wiki-ingest

Automates ingestion of documents into the Obsidian wiki (obsidian-wiki) using the wiki-ingest pipeline. Handles deduplication via manifest, frontmatter, and cross-links; triggers on user request within the obsidian-wiki project context.

ar9av/openclaw-history-ingest

Ingest OpenClaw agent history into the Obsidian wiki. Use this skill when the user wants to mine their past OpenClaw sessions for knowledge, import their ~/.openclaw folder, extract insights from previous OpenClaw conversations, or says things like "process my OpenClaw history", "add my OpenClaw sessions to the wiki", "ingest ~/.openclaw", or "what have I worked on in OpenClaw". Also triggers when the user mentions OpenClaw session logs, MEMORY.md, daily notes, or ~/.openclaw/workspace.

ar9av/skill-creator

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

ar9av/tag-taxonomy

Enforce consistent tagging across the Obsidian wiki using a controlled vocabulary. Use this skill when the user says "fix my tags", "normalize tags", "clean up tags", "tag audit", "what tags should I use", "tag taxonomy", or whenever you're creating or updating wiki pages and need to choose the right tags. Also trigger when the user asks about tag conventions, wants to add a new tag to the taxonomy, or says "my tags are a mess". Always consult this skill's taxonomy file before assigning tags to any wiki page.

ar9av/wiki-agent

Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: "what did I work on in codex about X", "search my claude sessions for Y", "pull in hermes knowledge about Z", "find that conversation where I did X in codex".

ar9av/wiki-capture

Save the current conversation as a permanent, structured wiki note. Use this skill when the user says "save this", "/wiki-capture", "capture this", "file this conversation", "preserve this", "add this to my wiki", or wants to turn what was just discussed into lasting knowledge. The skill classifies the content, rewrites it as declarative knowledge (not a chat transcript), and places it in the correct vault category. Also supports a fast QUICK MODE (`/wiki-capture --quick`, "quick capture", "capture this finding", "save this bug fix", "save this gotcha", "drop this to raw", "quick save to wiki") that drops findings to the `_raw/` staging area in under 60 seconds with no manifest or index writes — used by the session-end Stop hook to auto-preserve findings.

ar9av/wiki-dashboard

Create dynamic, queryable dashboard views of the Obsidian vault using Obsidian Bases or Dataview. Use this skill when the user says "create a dashboard", "vault dashboard", "show all X as a table", "dynamic view", "query my vault", "build a content index", "show me all concepts/entities/projects", or wants a structured, auto-updating view of their wiki content. Bases is native to Obsidian 1.8+ (no plugin needed). Dataview requires the community plugin.

ar9av/wiki-digest

Generate a periodic knowledge digest — a human-readable newsletter-style summary of what was learned, updated, and connected in your wiki over a specified period (day/week/month). Use when the user says "what did I learn this week", "give me a digest", "weekly summary", "knowledge report", "what's new in my wiki", "/wiki-digest [period]", "summarize my recent learning", or wants a readable overview of recent wiki activity. Distinct from wiki-status (which reports ingestion delta of sources) — wiki-digest summarizes *knowledge*, not sources.

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Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

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affaan-m/everything-claude-code

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langgenius/backend-code-review

Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.

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