feat(gateway): skill-aware slash commands, paginated /commands, Telegram 100-cap (#3934)

* feat(gateway): skill-aware slash commands, paginated /commands, Telegram 100-cap

Map active skills to Telegram's slash command menu so users can
discover and invoke skills directly. Three changes:

1. Telegram menu now includes active skill commands alongside built-in
   commands, capped at 100 entries (Telegram Bot API limit). Overflow
   commands remain callable but hidden from the picker. Logged at
   startup when cap is hit.

2. New /commands [page] gateway command for paginated browsing of all
   commands + skills. /help now shows first 10 skill commands and
   points to /commands for the full list.

3. When a user types a slash command that matches a disabled or
   uninstalled skill, they get actionable guidance:
   - Disabled: 'Enable it with: hermes skills config'
   - Optional (not installed): 'Install with: hermes skills install official/<path>'

Built on ideas from PR #3921 by @kshitijk4poor.

* chore: move 21 niche skills to optional-skills

Move specialized/niche skills from built-in (skills/) to optional
(optional-skills/) to reduce the default skill count. Users can
install them with: hermes skills install official/<category>/<name>

Moved skills (21):
- mlops: accelerate, chroma, faiss, flash-attention,
  hermes-atropos-environments, huggingface-tokenizers, instructor,
  lambda-labs, llava, nemo-curator, pinecone, pytorch-lightning,
  qdrant, saelens, simpo, slime, tensorrt-llm, torchtitan
- research: domain-intel, duckduckgo-search
- devops: inference-sh cli

Built-in skills: 96 → 75
Optional skills: 22 → 43

* fix: only include repo built-in skills in Telegram menu, not user-installed

User-installed skills (from hub or manually added) stay accessible via
/skills and by typing the command directly, but don't get registered
in the Telegram slash command picker. Only skills whose SKILL.md is
under the repo's skills/ directory are included in the menu.

This keeps the Telegram menu focused on the curated built-in set while
user-installed skills remain discoverable through /skills and /commands.

optional-skills/mlops/instructor/references/providers.md

@@ -0,0 +1,70 @@
+# Provider Configuration
+
+Guide to using Instructor with different LLM providers.
+
+## Anthropic Claude
+
+```python
+import instructor
+from anthropic import Anthropic
+
+# Basic setup
+client = instructor.from_anthropic(Anthropic())
+
+# With API key
+client = instructor.from_anthropic(
+    Anthropic(api_key="your-api-key")
+)
+
+# Recommended mode
+client = instructor.from_anthropic(
+    Anthropic(),
+    mode=instructor.Mode.ANTHROPIC_TOOLS
+)
+
+# Usage
+result = client.messages.create(
+    model="claude-sonnet-4-5-20250929",
+    max_tokens=1024,
+    messages=[{"role": "user", "content": "..."}],
+    response_model=YourModel
+)
+```
+
+## OpenAI
+
+```python
+from openai import OpenAI
+
+client = instructor.from_openai(OpenAI())
+
+result = client.chat.completions.create(
+    model="gpt-4o-mini",
+    response_model=YourModel,
+    messages=[{"role": "user", "content": "..."}]
+)
+```
+
+## Local Models (Ollama)
+
+```python
+client = instructor.from_openai(
+    OpenAI(
+        base_url="http://localhost:11434/v1",
+        api_key="ollama"
+    ),
+    mode=instructor.Mode.JSON
+)
+
+result = client.chat.completions.create(
+    model="llama3.1",
+    response_model=YourModel,
+    messages=[...]
+)
+```
+
+## Modes
+
+- `Mode.ANTHROPIC_TOOLS`: Recommended for Claude
+- `Mode.TOOLS`: OpenAI function calling
+- `Mode.JSON`: Fallback for unsupported providers