
obsidian-project-memory
This skill should be used when the user asks to maintain an Obsidian knowledge base for a research project, import an existing research repository into Obsidian, keep project memory or daily notes synchronized, summarize project context into durable notes, or update experiments, results, papers, writing, and plans in an Obsidian vault without requiring MCP.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/galaxy-dawn/claude-scholar --skill obsidian-project-memory- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads obsidian-project-memory automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Obsidian Project Memory
Maintain a filesystem-first, agent-driven Obsidian knowledge base for a research project.
Default note output language follows the project's configured note_language; if no note language is configured, default to English. Keep technical terms, paper titles, and established folder names in their original form when that is clearer. Only switch note prose to another language when the user explicitly asks.
Prefer this skill when working inside a repository that:
- already contains
.claude/project-memory/registry.yaml, or - clearly looks like a research project and should be bound to an Obsidian vault.
Core principles
- Use scripts for project state management.
- Use agents for project understanding and synthesis.
- Write only durable research knowledge into a small vault structure.
- Do not require MCP, API keys, REST plugins, or
.baseartifacts. - Do not depend on
.canvasglobally, but allow literature workflows to maintainMaps/literature.canvasas a default literature graph artifact. - Treat internal experiment summary reports as durable result-facing notes under
Results/Reports/, not asWriting/notes.
Default vault structure
Write into this project layout only:
Research/{project-slug}/
00-Hub.md
01-Plan.md
Knowledge/
Papers/
Experiments/
Results/
Reports/
Writing/
Daily/
Archive/
Read references/SCHEMA.md for the exact structure and note roles.
Deterministic helper script
Use scripts/project_kb.py only for low-freedom operations such as detect, bootstrap, sync, and lifecycle management:
python3 scripts/project_kb.py detect --cwd "$PWD"
python3 scripts/project_kb.py bootstrap --cwd "$PWD" --vault-path "$OBSIDIAN_VAULT_PATH"
python3 scripts/project_kb.py sync --cwd "$PWD" --scope auto
python3 scripts/project_kb.py lifecycle --cwd "$PWD" --mode archive
python3 scripts/project_kb.py query-context --cwd "$PWD" --kind broad
python3 scripts/project_kb.py query-context --cwd "$PWD" --kind experiment --query freezing
python3 scripts/project_kb.py find-canonical-note --cwd "$PWD" --kind experiment --query freezing
python3 scripts/project_kb.py note-lifecycle --cwd "$PWD" --mode archive --note "Results/Old-Result.md"
Do not expect the script to understand project meaning. It manages state; it does not replace synthesis.
Read references/SCRIPT-VS-AGENT.md when deciding whether a task belongs in the script or must stay agent-driven.
Default workflow
1. Detect and bind
- Run
scripts/project_kb.py detect --cwd "$PWD". - If the repo is already bound, continue with the existing project.
- If the repo is not yet bound but is a strong research-project candidate, bootstrap it with
project_kb.py bootstrap.
For the detailed lifecycle, read references/WORKFLOW.md.
2. Read the minimum context
Before writing anything, read only the minimum stable context:
.claude/project-memory/<project_id>.md00-Hub.md01-Plan.md- today's
Daily/YYYY-MM-DD.mdif it exists
If the task is about project understanding, existing docs, or historical results, load more context selectively using the references below.
3. Classify the knowledge delta
Route the current turn into one or more of these buckets:
knowledgepaperexperimentresultwritingdailyproject-structure
Read references/NOTE-ROUTING.md before writing.
4. Follow the default durable research path
Default path for substantive research work:
Papers/-> extract reusable ideas, baselines, and project relevanceExperiments/-> turn those into testable hypotheses, runbooks, or ablationsResults/-> promote stable findings with evidence and interpretationResults/Reports/-> store one round or one batch's internal experiment report when a complete retrospective has been writtenWriting/-> externalize durable claims into reviews, proposals, drafts, slides, or rebuttal notes
Use Daily/ as chronology and staging, not the final home for durable research knowledge.
Read references/PAPERS-TO-WRITING.md when deciding how a turn should advance along this path.
5. Decide whether agent-first synthesis is required
Use agent-first import/synthesis when:
- importing an existing repository for the first time,
- the user says the knowledge base is empty or lacks background,
- multiple source documents must be synthesized into stable project knowledge,
- the project needs a durable overview, research questions, experiment map, or results summary.
In these cases, first use an agent to read key sources, then write the synthesized result back into Obsidian.
Read references/AGENT-FIRST-IMPORT.md for the recommended source-reading order.
6. Write back minimally
Always keep write-back conservative.
Write back at least:
- today's
Daily/YYYY-MM-DD.mdwhen this turn changes project state, 00-Hub.mdonly when recent progress or top-level status truly changes,.claude/project-memory/<project_id>.mdwhen project state changes.
Then write only the durable note that matches the bucket:
knowledge->Knowledge/paper->Papers/experiment->Experiments/result->Results/writing->Writing/daily->Daily/project-structure-> usuallyKnowledge/Project-Overview.mdorKnowledge/Source-Inventory.md
Internal experiment round reports should default to:
Results/Reports/YYYY-MM-DD--{experiment-line}--r{round}--{purpose}.md
Read references/NOTE-TEMPLATES.md when a note needs a stable shape.
Knowledge CRUD rules
Treat the vault as a small set of canonical notes plus supporting daily context.
Create
- Ingest new knowledge deliberately; do not equate every new Markdown file with a durable note.
- Keep one canonical note per durable object whenever possible:
- one stable project overview,
- one stable experiment note per experiment line,
- one stable result note per durable finding,
- one stable paper note per paper.
- For new Markdown files, default to summarize first, then route:
- promote directly only when the file is already stable and self-contained,
- otherwise merge into an existing canonical note or stage it in
Daily/.
- If the new durable object is a full internal experiment report, store it under
Results/Reports/and link the matchingExperiments/and canonicalResults/notes.
Read
- Query narrowly first:
- broad project questions ->
00-Hub.md+ keyKnowledge/notes, - active work questions ->
01-Plan.md+ today'sDaily/+ project memory, - specific experiment/result/paper questions -> the matching canonical note first,
- specific internal experiment retrospective -> the matching note in
Results/Reports/first.
- broad project questions ->
- Use agent synthesis only when the answer spans multiple durable sources or still depends on repo material after reading canonical notes.
Update
- Prefer updating an existing canonical note over creating a sibling note.
- Treat raw material as input, not as a final vault object.
- Allow fast append-only logging in
Daily/, but keep durable knowledge inKnowledge/,Papers/,Experiments/,Results/,Results/Reports/, orWriting/.
Delete
- Treat “remove”, “delete”, or “stop using” as archive by default.
- Purge only when the user explicitly asks for permanent deletion.
- When archiving or purging a durable note, repair direct links in
00-Hub.md,01-Plan.md, and explicit index notes so the main working surface does not point to missing files.
Safety rules
- Do not mirror the whole repository into the vault.
- Do not generate empty folder taxonomies or placeholder notes without real content.
- Do not write every repo delta into a new note.
- Do not treat every code change as a knowledge update.
- Do not create
.basefiles unless the user explicitly asks for them. - Do not create arbitrary
.canvassprawl; the main default exception isMaps/literature.canvasfor literature workflows. - For engineering-only turns, prefer
Daily/plus project memory unless there is a real experiment, result, or planning impact. - Treat “remove project knowledge” as archive by default; purge only when the user explicitly asks for permanent deletion.
Reference files
Load only what is needed:
references/SCHEMA.md- vault structure and note rolesreferences/WORKFLOW.md- detect/bootstrap/sync/archive workflowreferences/PAPERS-TO-WRITING.md- default handoff from literature to experiments, results, and writingreferences/SCRIPT-VS-AGENT.md- boundary between low-freedom script operations and agent-only reasoningreferences/KNOWLEDGE-CRUD.md- create/read/update/delete rules for durable research knowledgereferences/NOTE-ROUTING.md- where each kind of knowledge should goreferences/NEW-MD-INGESTION.md- how to ingest a newly created Markdown filereferences/AGENT-FIRST-IMPORT.md- how to import an existing project with agent synthesisreferences/NOTE-TEMPLATES.md- lightweight note shapes for common note types
FAQ
What does the obsidian-project-memory skill do?
This skill should be used when the user asks to maintain an Obsidian knowledge base for a research project, import an existing research repository into Obsidian, keep project memory or daily notes synchronized, summarize project context into durable notes, or update experiments, results, papers, writing, and plans in an Obsidian vault without requiring MCP.
How do I install obsidian-project-memory?
Run npx skills add https://github.com/galaxy-dawn/claude-scholar --skill obsidian-project-memory in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/obsidian-project-memory/ (personal) or .claude/skills/obsidian-project-memory/ (project).
Which AI agents can use obsidian-project-memory?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is obsidian-project-memory safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains obsidian-project-memory?
It is published by galaxy-dawn in galaxy-dawn/claude-scholar. It has 48 recorded installs.
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