review-agent-memory

# Review Agents — Memory and State ## Overview Scans agent memory and state-store configuration (component YAMLs + in-code wiring) for correctness: `actorStateStore: "true"` on the workflow state store, appropriate memory class selection, secret management on LLM keys, and no component collisions between conversation memory and workflow state. Read-only: this skill never modifies source files. ## Execution Order You MUST follow these phases in strict order. 1. **Resolve scope** — Read [`../shared/review-scope-prompt.md`](../shared/review-scope-prompt.md) and follow it to set `scope_root`. 2. **Detect target** — Read [`../shared/review-detect-target-agent.md`](../shared/review-detect-target-agent.md) and follow it to produce `language`, `flavor`, `agent_files`, and `component_files`. 3. **Load checklist** — Based on `language`, read exactly one of: - `python` → [`../shared/review-agent-memory-python.md`](../shared/review-agent-memory-python.md) - `dotnet` → [`../shared/review-agent-memory-dotnet.md`](../shared/review-agent-memory-dotnet.md) 4. **Scan** — Apply every rule from the loaded checklist to agent files and component YAMLs. Cross-reference: a rule about a component is only valid if the component name is referenced in code (or conventionally expected, like `agent-workflow`). 5. **Report** — Format findings using [`../shared/review-report-format.md`](../shared/review-report-format.md). Group by severity, then rule id, then file path. 6. **Show final message** ...