# Curator run — 2026-05-15T12:33:50.080217+00:00

Model: `openrouter/owl-alpha` via `openrouter`  ·  Duration: 16m 23s  ·  Agent-created skills: 3 → 2 (-1)

## Auto-transitions (pure, no LLM)

- checked: 3
- marked stale: 0
- archived (no LLM, pure time-based staleness): 0
- reactivated: 0

## LLM consolidation pass

- tool calls: **46** (by name: patch=3, read_file=6, search_files=1, skill_manage=1, skill_view=22, terminal=7, todo=6)
- consolidated into umbrellas: **1**
- pruned (archived for staleness): **0**
- new skills this run: **0**
- state transitions (active ↔ stale ↔ archived): **0**

### Consolidated into umbrella skills (1)

_These skills were **absorbed into another skill** during this run — their content still lives, just under a different name. The original directory was moved to `~/.hermes/skills/.archive/` for safety and can be restored via `hermes curator restore <name>` if the consolidation was wrong._

- `ai-video-broadcast` → merged into `youtube-channel-research` — Both skills covered the AI video production pipeline (script → TTS → Pillow → ffmpeg); ai-video-broadcast's technical depth (rendering, avatar animation, encoding, pitfalls) and support files (news-video-sourcing.md, server-environment-notes.md, youtube-news-market.md, gen_broadcast_video.py) were absorbed as Part 3 and additional references under the youtube-channel-research umbrella.

## LLM final summary

---

## Human Summary

### Clusters Identified

With only 3 agent-created skills, there was one obvious cluster and one standalone:

**Cluster: Video Production & YouTube Content (2 skills)**
- `ai-video-broadcast` — Technical pipeline for AI-generated broadcast videos (script → TTS → Pillow frames → ffmpeg)
- `youtube-channel-research` — YouTube market research + content strategy + (duplicated) video production notes

These two skills had massive overlap in the video production domain. `youtube-channel-research` already contained a `video-generation-notes.md` reference file that covered the same pipeline basics as `ai-video-broadcast`'s SKILL.md, plus the `ai-video-broadcast` SKILL.md had the deep technical content (avatar animation, visual layout, encoding settings, 18 pitfalls) that `youtube-channel-research` lacked.

**Standalone: Hermes Deployment (1 skill)**
- `hermes-web-dashboard` — Web dashboard, Nginx reverse proxy, API server, QQ bot, systemd services. Completely distinct domain (infrastructure/deployment) with zero overlap.

### Consolidation Performed

**Merged `ai-video-broadcast` → `youtube-channel-research`** (Method A: merge into existing umbrella)

1. **Copied 3 unique reference files** from `ai-video-broadcast` into `youtube-channel-research/references/`:
   - `news-video-sourcing.md` — Working CDN sources (AP News, India Today), non-working sources, transcoding pipeline
   - `server-environment-notes.md` — Server specs, what works/doesn't, hybrid workflow
   - `youtube-news-market.md` — ytInitialData extraction method, niche opportunities, CPM benchmarks, 2026 AI policy

2. **Copied 1 script file** into `youtube-channel-research/scripts/`:
   - `gen_broadcast_video.py` — Production-ready 1080p frame renderer with animated avatar

3. **Patched `youtube-channel-research` SKILL.md** with:
   - Updated description to reflect broader scope (video production added)
   - New "Part 3: AI Broadcast Video Production" section with full pipeline details, Pillow rendering architecture, avatar drawing, encoding commands, production upgrade path, compositing patterns, and 10 additional pitfalls
   - Updated References section listing all 15 support files (removed 2 broken references to files that never existed)

4. **Archived `ai-video-broadcast`** to `~/.hermes/skills/.archive/ai-video-broadcast/` (recoverable)

### Decision: Keep `hermes-web-dashboard`

This skill is a class-level umbrella for Hermes deployment infrastructure. It has no overlap with video production or market research. It stays.

---

## Structured summary (required)

```yaml
consolidations:
  - from: ai-video-broadcast
    into: youtube-channel-research
    reason: Both skills covered the AI video production pipeline (script → TTS → Pillow → ffmpeg); ai-video-broadcast's technical depth (rendering, avatar animation, encoding, pitfalls) and support files (news-video-sourcing.md, server-environment-notes.md, youtube-news-market.md, gen_broadcast_video.py) were absorbed as Part 3 and additional references under the youtube-channel-research umbrella.
prunings: []
```

## Recovery

- Restore an archived skill: `hermes curator restore <name>`
- All archives live under `~/.hermes/skills/.archive/` and are recoverable by `mv`
- See `run.json` in this directory for the full machine-readable record.