Context Management Skill

Purpose: Seamless integration between your Obsidian knowledge base and Claude Code sessions. Find relevant notes, load project context, and manage captures from Telegram.

Quick Reference

obs CLI Commands

# Search
obs search "query"              # Full-text search
obs search --tag "project/pai"  # Tag-based search
obs semantic "concept"          # Semantic similarity search

# Read/Write
obs read "Note Title"           # Read a specific note
obs write "Title" --tag inbox   # Create a new note

# Browse
obs tags                        # List all tags
obs tags --counts               # Tags with usage counts
obs recent                      # Recently modified notes
obs incoming                    # Unprocessed inbox items

# Context
obs context project-name        # Load project context

# Embeddings
obs embed                       # Build/update embeddings
obs stats                       # Embedding statistics

ingest CLI Commands

# Telegram capture
ingest poll                     # Fetch new messages
ingest process                  # Process pending → notes
ingest status                   # View message states

# Maintenance
ingest retry                    # Retry failed messages
ingest clear                    # Clear all (testing)

Workflows

1. load-context.md

Purpose: Load project-specific context into current session Trigger: "load context for X", "get project context", "what do I know about X"

2. search-notes.md

Purpose: Search personal notes using text, tags, or semantic similarity Trigger: "search my notes for", "find notes about", "semantic search"

3. process-incoming.md

Purpose: Review and process captured content from Telegram Trigger: "check incoming", "process captures", "what's in my inbox"

4. capture-content.md

Purpose: Capture new content to Obsidian via direct write Trigger: "save this to obsidian", "capture this", "add to my notes"

Routing Logic

User Intent → Workflow Selection

"Load context for PAI project"     → load-context.md
"Search notes about embeddings"    → search-notes.md
"What's in my inbox?"              → process-incoming.md
"Save this to my notes"            → capture-content.md

Integration with Claude Code

This skill enables context-aware coding sessions:

1. Start of session: Load relevant project context
2. During coding: Search notes for reference material
3. After research: Capture findings to Obsidian
4. End of session: Auto-saved via hooks

Example Session Flow

User: "Load context for the API redesign project"
→ obs context api-redesign
→ Returns: Related notes, decisions, meeting notes

User: "What did we decide about authentication?"
→ obs semantic "authentication decision"
→ Returns: Relevant note excerpts

User: "Save this architecture decision to my notes"
→ obs write "API Auth Decision" --tag "project/api" --tag "decision"
→ Creates note in vault

Vault Structure

Expected Obsidian vault organization:

~/Documents/personal/
├── Inbox/                  # New captures land here
├── Projects/               # Project-specific notes
│   └── project-name/
├── Reference/              # Technical references
├── Archive/                # Completed/old items
└── attachments/            # Images, PDFs, etc.

Tag Conventions

project/<name>

incoming

decision

meeting

reference

todo

Configuration

Environment variables (in

~/.claude/.env

OBSIDIAN_VAULT_PATH=~/Documents/personal
OPENAI_API_KEY=sk-...  # For embeddings & vision

State databases:

• Embeddings:

  ~/.claude/embeddings.db

• Ingest state:

  ~/.claude/ingest-state.db

Troubleshooting

Semantic search not working

obs stats  # Check if embeddings exist
obs embed  # Rebuild embeddings

Telegram captures not appearing

ingest test    # Verify bot connection
ingest poll    # Fetch new messages
ingest status  # Check message states

Note not found

obs tags --counts  # See what tags exist
obs recent         # Check recent files

Related Skills

• research - Multi-source web research
• fabric - Pattern-based content processing

References

• Obsidian: https://obsidian.md
• OpenAI Embeddings: https://platform.openai.com/docs/guides/embeddings