Files
claude-mem/plugin/skills/mem-search/operations/timeline-by-query.md
T
basher83 97d565e3cd Replace search skill with mem-search (#91)
* 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>
2025-11-11 16:15:07 -05:00

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Markdown

# Timeline by Query
Search for observations and get timeline context in a single request. Combines search + timeline into one operation.
## When to Use
- User asks: "What was happening when we worked on authentication?"
- User asks: "Show me context around bug fixes"
- User asks: "Timeline of database work"
- Need to find something then see temporal context
## Command
```bash
# Auto mode: Uses top search result as timeline anchor
curl -s "http://localhost:37777/api/timeline/by-query?query=authentication&mode=auto&depth_before=10&depth_after=10"
# Interactive mode: Shows top N search results for manual selection
curl -s "http://localhost:37777/api/timeline/by-query?query=authentication&mode=interactive&limit=5"
```
## Parameters
- **query** (required): Search terms (e.g., "authentication", "bug fix", "database")
- **mode**: Search mode
- `auto` (default): Automatically uses top search result as timeline anchor
- `interactive`: Returns top N search results for manual anchor selection
- **depth_before**: Records before anchor (default: 10, max: 50) - for auto mode
- **depth_after**: Records after anchor (default: 10, max: 50) - for auto mode
- **limit**: Number of search results (default: 5, max: 20) - for interactive mode
- **project**: Filter by project name (optional)
## Auto Mode (Recommended)
Automatically gets timeline around best match:
```bash
curl -s "http://localhost:37777/api/timeline/by-query?query=JWT+authentication&mode=auto&depth_before=10&depth_after=10"
```
**Response:**
```json
{
"query": "JWT authentication",
"mode": "auto",
"best_match": {
"id": 1234,
"type": "feature",
"title": "Implemented JWT authentication",
"score": 0.95
},
"timeline": [
// ... timeline records around observation #1234
]
}
```
**When to use auto mode:**
- You're confident the top result is what you want
- Want fastest path to timeline context
- Query is specific enough for accurate top result
## Interactive Mode
Shows top search results for manual review:
```bash
curl -s "http://localhost:37777/api/timeline/by-query?query=authentication&mode=interactive&limit=5"
```
**Response:**
```json
{
"query": "authentication",
"mode": "interactive",
"top_matches": [
{
"id": 1234,
"type": "feature",
"title": "Implemented JWT authentication",
"subtitle": "Added token-based auth with refresh tokens",
"score": 0.95
},
{
"id": 1240,
"type": "bugfix",
"title": "Fixed authentication token expiration",
"subtitle": "Resolved race condition in refresh flow",
"score": 0.87
}
],
"next_step": "Use /api/timeline/context?anchor=<id>&depth_before=10&depth_after=10"
}
```
**When to use interactive mode:**
- Query is broad and may have multiple relevant results
- Want to review options before getting timeline
- Not sure which result is most relevant
## How to Present Results
**For auto mode:**
```markdown
## Timeline: JWT authentication
**Best Match:** 🟣 Observation #1234 - Implemented JWT authentication (score: 0.95)
### Before (10 records)
**2:45 PM** - 🟣 Added authentication middleware
### ⭐ Anchor Point (2:55 PM)
🟣 **Observation #1234**: Implemented JWT authentication
### After (10 records)
**3:00 PM** - 🎯 Session completed: JWT authentication system
```
**For interactive mode:**
```markdown
Found 5 matches for "authentication":
1. 🟣 **#1234** Implemented JWT authentication (score: 0.95)
> Added token-based auth with refresh tokens
2. 🔴 **#1240** Fixed authentication token expiration (score: 0.87)
> Resolved race condition in refresh flow
To see timeline context, use observation ID with timeline operation.
```
For complete formatting guidelines, see [formatting.md](formatting.md).
## Error Handling
**Missing query parameter:**
```json
{"error": "Missing required parameter: query"}
```
Fix: Add the query parameter
**No results found:**
```json
{"query": "foobar", "top_matches": []}
```
Response: "No results found for 'foobar'. Try different search terms."
## Tips
1. **Use auto mode** for specific queries: "JWT authentication implementation"
2. **Use interactive mode** for broad queries: "authentication"
3. Start with depth 10/10 for balanced context
4. Be specific in queries for better auto mode accuracy
5. This is fastest way to find + explore context in one request
**Token Efficiency:**
- Auto mode: ~3,000-4,000 tokens (search + timeline)
- Interactive mode: ~500-1,000 tokens (search results only)
- See [../principles/progressive-disclosure.md](../principles/progressive-disclosure.md)
## Workflow Comparison
**timeline-by-query (auto):**
1. One request → get timeline around best match
2. ~3,000 tokens
**timeline-by-query (interactive) → timeline:**
1. First request → see top matches (~500 tokens)
2. Second request → get timeline for chosen match (~3,000 tokens)
3. Total: ~3,500 tokens
**observations search → timeline:**
1. Search observations (~500 tokens)
2. Get timeline for chosen result (~3,000 tokens)
3. Total: ~3,500 tokens
Use auto mode when you're confident about the query. Use interactive mode or separate search when you want more control.
## When to Use Timeline-by-Query
**Use timeline-by-query when:**
- Need to find something AND see temporal context
- Want one-request convenience (auto mode)
- Investigating "what was happening when we worked on X?"
- Don't have observation ID already
**Don't use timeline-by-query when:**
- Already have observation ID (use timeline instead)
- Just need search results (use observations search)
- Need recent work overview (use recent-context)