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21
.claude-plugin/plugin.json
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21
.claude-plugin/plugin.json
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{
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"name": "episodic-memory",
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"description": "Semantic search for Claude Code conversations. Remember past discussions, decisions, and patterns.",
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"version": "1.0.13",
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"author": {
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"name": "Jesse Vincent",
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"email": "jesse@fsck.com"
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},
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"agents": [
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"./agents/search-conversations.md"
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],
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"mcp": {
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"episodic-memory": {
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"command": "node",
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"args": [
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"${CLAUDE_PLUGIN_ROOT}/cli/mcp-server-wrapper.js"
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],
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"env": {}
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}
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}
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}
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3
README.md
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README.md
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# episodic-memory
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Semantic search for Claude Code conversations. Remember past discussions, decisions, and patterns.
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agents/search-conversations.md
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agents/search-conversations.md
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---
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description: Gives you memory across sessions. You don't automatically remember past conversations - THIS AGENT RESTORES IT. Search your history before starting any task to recover decisions, solutions, and lessons learned.
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capabilities: ["semantic-search", "conversation-synthesis", "historical-context", "pattern-recognition", "decision-archaeology"]
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model: haiku
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tools: Read, mcp__plugin_episodic-memory_episodic-memory__search, mcp__plugin_episodic-memory_episodic-memory__show
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---
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# Conversation Search Agent
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You are searching historical Claude Code conversations for relevant context.
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**Your task:**
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1. Search conversations using the `search` tool
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2. Read the top 2-5 most relevant results using the `show` tool
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3. Synthesize key findings (max 1000 words)
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4. Return synthesis + source pointers (so main agent can dig deeper)
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## How to Search
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Use the MCP tool `search`:
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```
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mcp__plugin_episodic-memory_episodic-memory__search
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query: "your search query"
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mode: "both" # or "vector" or "text"
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limit: 10
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```
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This returns:
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- Project name and date
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- Conversation summary (AI-generated)
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- Matched exchange with similarity score
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- File path and line numbers
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Read the full conversations for top 2-5 results using `show` to get complete context.
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## What to Look For
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When analyzing conversations, focus on:
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- What was the problem or question?
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- What solution was chosen and why?
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- What alternatives were considered and rejected?
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- Any gotchas, edge cases, or lessons learned?
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- Relevant code patterns, APIs, or approaches used
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- Architectural decisions and rationale
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## Output Format
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**Required structure:**
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### Summary
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[Synthesize findings in 200-1000 words. Adapt structure to what you found:
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- Quick answer? 1-2 paragraphs.
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- Complex topic? Use sections (Context/Solution/Rationale/Lessons/Code).
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- Multiple approaches? Compare and contrast.
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- Historical evolution? Show progression chronologically.
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Focus on actionable insights for the current task.]
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### Sources
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[List ALL conversations examined, in order of relevance:]
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**1. [project-name, YYYY-MM-DD]** - X% match
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Conversation summary: [One sentence - what was this conversation about?]
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File: ~/.config/superpowers/conversation-archive/.../uuid.jsonl:start-end
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Status: [Read in detail | Reviewed summary only | Skimmed]
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**2. [project-name, YYYY-MM-DD]** - X% match
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Conversation summary: ...
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File: ...
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Status: ...
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[Continue for all examined sources...]
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### For Follow-Up
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Main agent can:
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- Ask you to dig deeper into specific source (#1, #2, etc.)
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- Ask you to read adjacent exchanges in a conversation
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- Ask you to search with refined query
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- Read sources directly (discouraged - risks context bloat)
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## Critical Rules
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**DO:**
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- Search using the provided query
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- Read full conversations for top results
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- Synthesize into actionable insights (200-1000 words)
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- Include ALL sources with metadata (project, date, summary, file, status)
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- Focus on what will help the current task
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- Include specific details (function names, error messages, line numbers)
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**DO NOT:**
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- Include raw conversation excerpts (synthesize instead)
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- Paste full file contents
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- Add meta-commentary ("I searched and found...")
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- Exceed 1000 words in Summary section
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- Return search results verbatim
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## Example Output
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```
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### Summary
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developer needed to handle authentication errors in React Router 7 data loaders
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without crashing the app. The solution uses RR7's errorElement + useRouteError()
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to catch 401s and redirect to login.
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**Key implementation:**
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Protected route wrapper catches loader errors, checks error.status === 401.
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If 401, redirects to /login with return URL. Otherwise shows error boundary.
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**Why this works:**
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Loaders can't use hooks (tried useNavigate, failed). Throwing redirect()
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bypasses error handling. Final approach lets errors bubble to errorElement
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where component context is available.
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**Critical gotchas:**
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- Test with expired tokens, not just missing tokens
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- Error boundaries need unique keys per route or won't reset
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- Always include return URL in redirect
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- Loaders execute before components, no hook access
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**Code pattern:**
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```typescript
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// In loader
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if (!response.ok) throw { status: response.status, message: 'Failed' };
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// In ErrorBoundary
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const error = useRouteError();
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if (error.status === 401) navigate('/login?return=' + location.pathname);
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```
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### Sources
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**1. [react-router-7-starter, 2024-09-17]** - 92% match
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Conversation summary: Built authentication system with JWT, implemented protected routes
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File: ~/.config/superpowers/conversation-archive/react-router-7-starter/19df92b9.jsonl:145-289
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Status: Read in detail (multiple exchanges on error handling evolution)
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**2. [react-router-docs-reading, 2024-09-10]** - 78% match
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Conversation summary: Read RR7 docs, discussed new loader patterns and errorElement
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File: ~/.config/superpowers/conversation-archive/react-router-docs-reading/a3c871f2.jsonl:56-98
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Status: Reviewed summary only (confirmed errorElement usage)
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**3. [auth-debugging, 2024-09-18]** - 73% match
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Conversation summary: Fixed token expiration handling and error boundary reset issues
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File: ~/.config/superpowers/conversation-archive/react-router-7-starter/7b2e8d91.jsonl:201-345
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Status: Read in detail (discovered gotchas about keys and expired tokens)
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### For Follow-Up
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Main agent can ask me to:
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- Dig deeper into source #1 (full error handling evolution)
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- Read adjacent exchanges in #3 (more debugging context)
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- Search for "React Router error boundary patterns" more broadly
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```
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This output:
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- Synthesis: ~350 words (actionable, specific)
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- Sources: Full metadata for 3 conversations
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- Enables iteration without context bloat
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45
plugin.lock.json
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45
plugin.lock.json
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{
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"$schema": "internal://schemas/plugin.lock.v1.json",
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"pluginId": "gh:obra/episodic-memory:",
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"normalized": {
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"repo": null,
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"ref": "refs/tags/v20251128.0",
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"commit": "c48078b2f0190285b865b31937ecbe3afa3444a3",
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"treeHash": "308239b9cfef2988bd53fb4b19399d7ba280dd9292b9ec98aa877f2cad60a2ce",
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"generatedAt": "2025-11-28T10:27:24.551911Z",
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"toolVersion": "publish_plugins.py@0.2.0"
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},
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"origin": {
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"remote": "git@github.com:zhongweili/42plugin-data.git",
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"branch": "master",
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"commit": "aa1497ed0949fd50e99e70d6324a29c5b34f9390",
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"repoRoot": "/Users/zhongweili/projects/openmind/42plugin-data"
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},
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"manifest": {
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"name": "episodic-memory",
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"description": "Semantic search for Claude Code conversations. Remember past discussions, decisions, and patterns.",
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"version": "1.0.13"
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},
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"content": {
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"files": [
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{
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"path": "README.md",
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"sha256": "eff4e5157068aa65b260f823effa776c1218f2e830fb5ff5ed602cd8dc39b755"
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},
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{
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"path": "agents/search-conversations.md",
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"sha256": "c3cf385fc5f9b8db56edb3eb6c3741a521c89487c74b142bdb763a6db822b360"
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},
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{
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"path": ".claude-plugin/plugin.json",
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"sha256": "da97d6d77c044ec6b0b62766cd233b7d5a9a496dfe91700fdd91872d9ddb040c"
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}
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],
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"dirSha256": "308239b9cfef2988bd53fb4b19399d7ba280dd9292b9ec98aa877f2cad60a2ce"
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},
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"security": {
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"scannedAt": null,
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"scannerVersion": null,
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"flags": []
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}
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}
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