shell: fish functions -> ~/.local/bin executables + bash/zsh ports; manage ~/.agents

- 16 cross-shell utilities converted to sh/bash chezmoi executables:
  ai c2p cp-appid extract_agents fab gdc gh-sonr-org-migrate ghg-clone
  ghn gho git-summary launch_omp_livediff_overlay lc-elir mdcp mdp pj
  (ghg-clone not named ghg: unrelated cargo binary owns that name)
- cwd/history helpers stay per-shell: yy c cd clip-last + ghg/ghn/gho
  cd-wrappers in bash/functions/ and zsh/functions/, loaded by rc files
- fish keeps only shell-state functions; converted ones now hit PATH
- cp-appid ignore gating moved to .local/bin path
- dot_agents/skills: 82 skills materialized from dotstate storage so
  dot_claude skill symlinks resolve on fresh bootstrap; dotstate
  profile/symlinks.json released .agents/skills .bashrc .zshrc

dot_agents/skills/cloudflare/references/vectorize/api.md

@@ -0,0 +1,88 @@
+# Vectorize API Reference
+
+## Types
+
+```typescript
+interface VectorizeVector {
+  id: string;                    // Max 64 bytes
+  values: number[];              // Must match index dimensions
+  namespace?: string;            // Optional partition (max 64 bytes)
+  metadata?: Record<string, any>; // Max 10 KiB
+}
+```
+
+## Query
+
+```typescript
+const matches = await env.VECTORIZE.query(queryVector, {
+  topK: 10,                        // Max 100 (or 20 with returnValues/returnMetadata:"all")
+  returnMetadata: "indexed",       // "none" | "indexed" | "all"
+  returnValues: false,
+  namespace: "tenant-123",
+  filter: { category: "docs" }
+});
+// matches.matches[0] = { id, score, metadata? }
+```
+
+**returnMetadata:** `"none"` (fastest) → `"indexed"` (recommended) → `"all"` (topK max 20)
+
+**queryById (V2 only):** Search using existing vector as query.
+```typescript
+await env.VECTORIZE.queryById("doc-123", { topK: 5 });
+```
+
+## Insert/Upsert
+
+```typescript
+// Insert: ignores duplicates (keeps first)
+await env.VECTORIZE.insert([{ id, values, metadata }]);
+
+// Upsert: overwrites duplicates (keeps last)
+await env.VECTORIZE.upsert([{ id, values, metadata }]);
+```
+
+**Max 500 vectors per call.** Queryable after 5-10 seconds.
+
+## Other Operations
+
+```typescript
+// Get by IDs
+const vectors = await env.VECTORIZE.getByIds(["id1", "id2"]);
+
+// Delete (max 1000 IDs per call)
+await env.VECTORIZE.deleteByIds(["id1", "id2"]);
+
+// Index info
+const info = await env.VECTORIZE.describe();
+// { dimensions, metric, vectorCount }
+```
+
+## Filtering
+
+Requires metadata index. Filter operators:
+
+| Operator | Example |
+|----------|---------|
+| `$eq` (implicit) | `{ category: "docs" }` |
+| `$ne` | `{ status: { $ne: "deleted" } }` |
+| `$in` / `$nin` | `{ tag: { $in: ["sale"] } }` |
+| `$lt`, `$lte`, `$gt`, `$gte` | `{ price: { $lt: 100 } }` |
+
+**Constraints:** Max 2048 bytes, no dots/`$` in keys, values: string/number/boolean/null.
+
+## Performance
+
+| Configuration | topK Limit | Speed |
+|--------------|------------|-------|
+| No metadata | 100 | Fastest |
+| `returnMetadata: "indexed"` | 100 | Fast |
+| `returnMetadata: "all"` | 20 | Slower |
+| `returnValues: true` | 20 | Slower |
+
+**Batch operations:** Always batch (500/call) for optimal throughput.
+
+```typescript
+for (let i = 0; i < vectors.length; i += 500) {
+  await env.VECTORIZE.upsert(vectors.slice(i, i + 500));
+}
+```