AgriciDaniel/claude-obsidian

What AgriciDaniel/claude-obsidian is for

AgriciDaniel/claude-obsidian is an AI agent skill resource for Research workflows. Based on the archived project material, its core value is: Self-organizing AI second brain for Obsidian + Claude Code. Drop any source and Claude reads, links, and files it into one connected knowledge graph of plain Markdown you own. AI note-taking, personal knowledge management (PKM), and an open-source Notion alternative. Based on Karpathy's LLM Wiki pattern — a GitHub Skill repository verified at commit 1c1bc49 with 16 SKILL.md files for research workflows.. This detail page focuses on the practical questions to answer before adopting the skill: what task it solves, how setup works, which README notes matter, where the local Markdown copy is available, and whether the workflow can be adapted for Claude, Codex, Gemini, Kimi, GLM, ChatGPT, or an internal AI agent.

README summary

> This is an EasyGlobe-authored bilingual repository brief, not a redistributed third-party Skill and not an installable copy of the repository. Review the upstream repository before use.

README capability notes

| Path | Frontmatter name | Frontmatter description | SHA-256 |

| --- | --- | --- | --- |

| skills/autoresearch/SKILL.md | autoresearch | Run a bounded, source-grounded research loop, draft a cited dossier, and optionally propose a separately reviewed canonical vault merge. Use when the user wants autonomous or deep research that may access the public web. Triggers: /autoresearch, autoresearch, research this topic, deep dive into, investigate, find everything about, research and file, go research, build a wiki on. | e369ab3e1181ddebd70fd61eeb623edc7eab7d123ea32ff4e6ac75ec315db0ce |

| skills/canvas/SKILL.md | canvas | Create, inspect, and update Obsidian JSON Canvas boards with text, file, link, group, and edge nodes....

Workflow fit and practical value

The current taxonomy places AgriciDaniel/claude-obsidian under Research, with tags such as Research, agent-skills, ai-note-taking, ai-second-brain, claude-code, GitHub Skills. That means the skill should be evaluated through the lens of repeatable work: what task it helps an AI agent perform, what context the agent needs, what output a user should expect, and whether the workflow can be reused as a team SOP. The archived README is used as the first source of truth whenever it includes feature lists, examples, setup notes, or usage guidance. The local Markdown download is useful for review, internal documentation, and adapting the instructions into your own agent skills repository.

Installation, usage, and platform notes

No explicit installation section was found in the archived README. Open the original source for the official setup path; the download button provides the local Markdown copy saved by EasyGlobe. Use this skill when the task involves Research, agent-skills, ai-note-taking, ai-second-brain, claude-code, GitHub Skills. It can be adapted into Claude Skills, Codex Skills, Gemini Skills, Kimi Skills, GLM Skills, or a team SOP. If the README does not include a complete command-by-command setup path, the Skill URL remains the official source for the latest installation instructions. Platform support should be confirmed from the original project, but the information on this page is organized so it can be reused as a reference for Claude, Codex, Gemini, Kimi, GLM, ChatGPT, or internal AI agent workflows.

No standalone configuration section was detected in the archive. If the source project requires API keys, account auth, CLI setup, or plugin config, follow the Skill URL.