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From obsidian-brain
Install dev version of obsidian-brain into the plugin cache for local testing, or restore the original. Use when: (1) /dev-test install to test unreleased changes, (2) /dev-test restore to put back the original, (3) /dev-test to check current status.
How this skill is triggered — by the user, by Claude, or both
Slash command
/obsidian-brain:dev-testThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Swaps the installed plugin cache with the current repo working copy for local testing. After install, start a new Claude Code session to pick up the changes.
Swaps the installed plugin cache with the current repo working copy for local testing. After install, start a new Claude Code session to pick up the changes.
Tools needed: Bash
Check the argument passed to /dev-test:
install → go to Step 2restore → go to Step 3status → go to Step 4Run:
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)"
./scripts/test-dev-skill.sh install
Report the output. Then tell the user:
Dev version installed. Start a new Claude Code session to pick up the changes. When done testing, run
/dev-test restore.
Stop here.
Run:
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)"
./scripts/test-dev-skill.sh restore
Report the output. Then tell the user:
Original version restored. Start a new session to pick up the restored version.
Stop here.
Run:
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)"
./scripts/test-dev-skill.sh status
Report the output.
npx claudepluginhub abhattacherjee/obsidian-brain --plugin obsidian-brainSearches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.