fix: restore all removed bundled skills + fix skills sync system

- Restored 21 skills removed in commits 757d012 and 740dd92:
  accelerate, audiocraft, code-review, faiss, flash-attention, gguf,
  grpo-rl-training, guidance, llava, nemo-curator, obliteratus, peft,
  pytorch-fsdp, pytorch-lightning, simpo, slime, stable-diffusion,
  tensorrt-llm, torchtitan, trl-fine-tuning, whisper

- Rewrote sync_skills() with proper update semantics:
  * New skills (not in manifest): copied to user dir
  * Existing skills (in manifest + on disk): updated via hash comparison
  * User-deleted skills (in manifest, not on disk): respected, not re-added
  * Stale manifest entries (removed from bundled): cleaned from manifest

- Added sync_skills() to CLI startup (cmd_chat) and gateway startup
  (start_gateway) — previously only ran during 'hermes update'

- Updated cmd_update output to show new/updated/cleaned counts

- Rewrote tests: 20 tests covering manifest CRUD, dir hashing, fresh
  install, user deletion respect, update detection, stale cleanup, and
  name collision handling

75 bundled skills total. 2002 tests pass.

skills/mlops/obliteratus/templates/abliteration-config.yaml

@@ -0,0 +1,33 @@
+# OBLITERATUS Abliteration Config
+# Usage: obliteratus run this-file.yaml
+#
+# This is for reproducible, version-controlled abliteration runs.
+# For one-off usage, the CLI flags are simpler.
+
+# Model to abliterate
+model:
+  name: "meta-llama/Llama-3.1-8B-Instruct"
+  dtype: "bfloat16"         # float16, bfloat16, float32
+  quantization: null         # null, "4bit", "8bit"
+  device: "auto"             # auto, cuda, cuda:0, cpu
+
+# Abliteration method and parameters
+abliteration:
+  method: "informed"         # See SKILL.md Step 4 for all 13 methods
+  n_directions: null         # null = auto-detect, or integer (e.g., 8)
+  regularization: 0.0        # 0.0-1.0, fraction of original to preserve
+  refinement_passes: 1       # Iterative passes (increase for self-repair)
+  norm_preserve: true        # Keep weight norms intact after projection
+
+# Output
+output:
+  directory: "./abliterated-models"
+  save_metadata: true        # Save abliteration_metadata.json alongside model
+  contribute: false          # Save community contribution data
+
+# Verification
+verify:
+  enabled: true
+  test_prompts: null         # null = use built-in test prompts
+  compute_perplexity: true
+  compute_kl: true