Add .cursor AI autodevelopment harness (agents, skills, rules)

Made-with: Cursor

.cursor/skills/implement/references/batching-algorithm.md

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+# Batching Algorithm Reference
+
+## Topological Sort with Batch Grouping
+
+The `/implement` skill uses a topological sort to determine execution order,
+then groups tasks into batches for parallel execution.
+
+## Algorithm
+
+1. Build adjacency list from `_dependencies_table.md`
+2. Compute in-degree for each task node
+3. Initialize batch 0 with all nodes that have in-degree 0
+4. For each batch:
+   a. Select up to 4 tasks from the ready set
+   b. Check file ownership — if two tasks would write the same file, defer one to the next batch
+   c. Launch selected tasks as parallel implementer subagents
+   d. When all complete, remove them from the graph and decrement in-degrees of dependents
+   e. Add newly zero-in-degree nodes to the next batch's ready set
+5. Repeat until the graph is empty
+
+## File Ownership Conflict Resolution
+
+When two tasks in the same batch map to overlapping files:
+- Prefer to run the lower-numbered task first (it's more foundational)
+- Defer the higher-numbered task to the next batch
+- If both have equal priority, ask the user
+
+## Complexity Budget
+
+Each batch should not exceed 20 total complexity points.
+If it does, split the batch and let the user choose which tasks to include.