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* feat: add mem-search skill with progressive disclosure architecture Add comprehensive mem-search skill for accessing claude-mem's persistent cross-session memory database. Implements progressive disclosure workflow and token-efficient search patterns. Features: - 12 search operations (observations, sessions, prompts, by-type, by-concept, by-file, timelines, etc.) - Progressive disclosure principles to minimize token usage - Anti-patterns documentation to guide LLM behavior - HTTP API integration for all search functionality - Common workflows with composition examples Structure: - SKILL.md: Entry point with temporal trigger patterns - principles/: Progressive disclosure + anti-patterns - operations/: 12 search operation files 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: add CHANGELOG entry for mem-search skill Document mem-search skill addition in Unreleased section with: - 100% effectiveness compliance metrics - Comparison to previous search skill implementation - Progressive disclosure architecture details - Reference to audit report documentation 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: add mem-search skill audit report Add comprehensive audit report validating mem-search skill against Anthropic's official skill-creator documentation. Report includes: - Effectiveness metrics comparison (search vs mem-search) - Critical issues analysis for production readiness - Compliance validation across 6 key dimensions - Reference implementation guidance Result: mem-search achieves 100% compliance vs search's 67% 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: Add comprehensive search architecture analysis document - Document current state of dual search architectures (HTTP API and MCP) - Analyze HTTP endpoints and MCP search server architectures - Identify DRY violations across search implementations - Evaluate the use of curl as the optimal approach for search - Provide architectural recommendations for immediate and long-term improvements - Outline action plan for cleanup, feature parity, DRY refactoring * refactor: Remove deprecated search skill documentation and operations * refactor: Reorganize documentation into public and context directories Changes: - Created docs/public/ for Mintlify documentation (.mdx files) - Created docs/context/ for internal planning and implementation docs - Moved all .mdx files and assets to docs/public/ - Moved all internal .md files to docs/context/ - Added CLAUDE.md to both directories explaining their purpose - Updated docs.json paths to work with new structure Benefits: - Clear separation between user-facing and internal documentation - Easier to maintain Mintlify docs in dedicated directory - Internal context files organized separately 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Enhance session management and continuity in hooks - Updated new-hook.ts to clarify session_id threading and idempotent session creation. - Modified prompts.ts to require claudeSessionId for continuation prompts, ensuring session context is maintained. - Improved SessionStore.ts documentation on createSDKSession to emphasize idempotent behavior and session connection. - Refined SDKAgent.ts to detail continuation prompt logic and its reliance on session.claudeSessionId for unified session handling. --------- Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: Alex Newman <thedotmack@gmail.com>
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Search User Prompts (Full-Text)
Search raw user prompts to find what was actually asked across all sessions.
When to Use
- User asks: "What did I ask about authentication?"
- User asks: "Find my question about database migrations"
- User asks: "When did I ask about testing?"
- Looking for specific user questions or requests
Command
curl -s "http://localhost:37777/api/search/prompts?query=authentication&format=index&limit=5"
Parameters
- query (required): Search terms (e.g., "authentication", "how do I", "bug fix")
- format: "index" (truncated prompts) or "full" (complete prompt text). Default: "full"
- limit: Number of results (default: 20, max: 100)
- project: Filter by project name (optional)
- dateRange: Filter by date range (optional)
When to Use Each Format
Use format=index for:
- Quick overviews of what was asked
- Finding prompt IDs for full text
- Listing multiple prompts
- Token cost: ~50-100 per result (truncated to 200 chars)
Use format=full for:
- Complete prompt text
- Understanding the full user request
- Token cost: Variable (depends on prompt length, typically 100-300 tokens)
Example Response (format=index)
{
"query": "authentication",
"count": 5,
"format": "index",
"results": [
{
"id": 1250,
"session_id": "S545",
"prompt_preview": "How do I implement JWT authentication with refresh tokens? I need to handle token expiration...",
"created_at_epoch": 1699564800000,
"project": "api-server"
}
]
}
How to Present Results
For format=index, present as a compact list:
Found 5 user prompts about "authentication":
💬 **Prompt #1250** (Session #545)
> "How do I implement JWT authentication with refresh tokens? I need to handle token expiration..."
> Nov 9, 2024 • api-server
💬 **Prompt #1251** (Session #546)
> "The auth tokens are expiring too quickly. Can you help debug the refresh flow?"
> Nov 8, 2024 • api-server
For complete formatting guidelines, see formatting.md.
What Gets Searched
User prompts search covers:
- All user messages sent to Claude Code
- Raw text as typed by the user
- Multi-turn conversations (each message is a separate prompt)
- Questions, requests, commands, and clarifications
Error Handling
Missing query parameter:
{"error": "Missing required parameter: query"}
Fix: Add the query parameter
No results found:
{"query": "foobar", "count": 0, "results": []}
Response: "No user prompts found for 'foobar'. Try different search terms."
Tips
- Use exact phrases in quotes:
?query="how do I"for precise matches - Start with format=index to see preview, then get full text if needed
- Use dateRange to find recent questions:
?query=bug&dateRange[start]=2024-11-01 - Prompts show what was asked, sessions/observations show what was done
- Combine with session search to see both question and answer
Token Efficiency:
- Start with format=index (~50-100 tokens per result, prompt truncated to 200 chars)
- Use format=full only for relevant items (100-300 tokens per result)
- See ../principles/progressive-disclosure.md
When to Use Prompts vs Sessions
Use prompts search when:
- Looking for specific user questions
- Trying to remember what was asked
- Finding original request wording
Use sessions search when:
- Looking for what was accomplished
- Understanding work summaries
- Getting high-level context
Combine both when:
- Understanding the full conversation (what was asked + what was done)
- Investigating how a request was interpreted