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feat(opsx): add OpenSpec workflow commands and skills
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AGENTS.md
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# Memorix — Automatic Memory Rules
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You have access to Memorix memory tools. Follow these rules to maintain persistent context across sessions.
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## RULE 1: Session Start — Load Context
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At the **beginning of every conversation**, BEFORE responding to the user:
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1. Call `memorix_session_start` to get the previous session summary and key memories (this is a direct read, not a search — no fragmentation risk)
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2. Then call `memorix_search` with a query related to the user's first message for additional context
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3. If search results are found, use `memorix_detail` to fetch the most relevant ones
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4. Reference relevant memories naturally — the user should feel you "remember" them
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## RULE 2: Store Important Context
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**Proactively** call `memorix_store` when any of the following happen:
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### What MUST be recorded:
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- Architecture/design decisions → type: `decision`
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- Bug identified and fixed → type: `problem-solution`
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- Unexpected behavior or gotcha → type: `gotcha`
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- Config changed (env vars, ports, deps) → type: `what-changed`
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- Feature completed or milestone → type: `what-changed`
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- Trade-off discussed with conclusion → type: `trade-off`
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### What should NOT be recorded:
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- Simple file reads, greetings, trivial commands (ls, pwd, git status)
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### Use topicKey for evolving topics:
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For decisions, architecture docs, or any topic that evolves over time, ALWAYS use `topicKey` parameter.
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This ensures the memory is UPDATED instead of creating duplicates.
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Use `memorix_suggest_topic_key` to generate a stable key.
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Example: `topicKey: "architecture/auth-model"` — subsequent stores with the same key update the existing memory.
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### Track progress with the progress parameter:
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When working on features or tasks, include the `progress` parameter:
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```json
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{
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"progress": {
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"feature": "user authentication",
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"status": "in-progress",
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"completion": 60
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}
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}
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```
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Status values: `in-progress`, `completed`, `blocked`
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## RULE 3: Resolve Completed Memories
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When a task is completed, a bug is fixed, or information becomes outdated:
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1. Call `memorix_resolve` with the observation IDs to mark them as resolved
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2. Resolved memories are hidden from default search, preventing context pollution
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This is critical — without resolving, old bug reports and completed tasks will keep appearing in future searches.
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## RULE 4: Session End — Store Decision Chain Summary
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When the conversation is ending, create a **decision chain summary** (not just a checklist):
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1. Call `memorix_store` with type `session-request` and `topicKey: "session/latest-summary"`:
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**Required structure:**
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```
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## Goal
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[What we were working on — specific, not vague]
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## Key Decisions & Reasoning
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- Chose X because Y. Rejected Z because [reason].
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- [Every architectural/design decision with WHY]
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## What Changed
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- [File path] — [what changed and why]
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## Current State
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- [What works now, what's pending]
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- [Any blockers or risks]
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## Next Steps
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- [Concrete next actions, in priority order]
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```
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**Critical: Include the "Key Decisions & Reasoning" section.** Without it, the next AI session will lack the context to understand WHY things were done a certain way and may suggest conflicting approaches.
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2. Call `memorix_resolve` on any memories for tasks completed in this session
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## RULE 5: Compact Awareness
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Memorix automatically compacts memories on store:
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- **With LLM API configured:** Smart dedup — extracts facts, compares with existing, merges or skips duplicates
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- **Without LLM (free mode):** Heuristic dedup — uses similarity scores to detect and merge duplicate memories
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- **You don't need to manually deduplicate.** Just store naturally and compact handles the rest.
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- If you notice excessive duplicate memories, call `memorix_deduplicate` for batch cleanup.
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## Guidelines
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- **Use concise titles** (~5-10 words) and structured facts
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- **Include file paths** in filesModified when relevant
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- **Include related concepts** for better searchability
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- **Always use topicKey** for recurring topics to prevent duplicates
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- **Always resolve** completed tasks and fixed bugs
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- **Always include reasoning** — "chose X because Y" is 10x more valuable than "did X"
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- Search defaults to `status="active"` — use `status="all"` to include resolved memories
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