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Trigger Hermes's deterministic 11-agent video-production pipeline for an editorially-approved run, and poll it to completion. Use when submit-editorial-review records a human PASS and the approved asset bundle is ready to actually produce.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | dispatch-hermes-content-run |
| description | Trigger Hermes's deterministic 11-agent video-production pipeline for an editorially-approved run, and poll it to completion. Use when submit-editorial-review records a human PASS and the approved asset bundle is ready to actually produce. |
| metadata | {"agent":"chief-editor","source":"Project Atlas Requirements §3.5/10.2","layer":"executive","host":"railway"} |
Hand off an editorially-approved run to Hermes's production pipeline (Soul Reference -> Visual/Presenter/Narration/Music/Asset Sourcing/Thumbnail -> Captioning -> Video Assembly -> Render QC -> Video Publish), and wait for it to finish.
submit-editorial-review recorded a human PASS (content_assets.status = APPROVED).select-vibe, direct-voice, direct-music,
direct-visuals, plan-assets, generate-thumbnails, generate-seo-metadata, all owned
by content-factory) and the approved script are available.ContentRunRequest payload:
script_text and graphics_cues — both from the approved script (the Script agent's
output carries graphics_cues for lower-third identification graphics; pass them through).target_format — "shorts" / "reels" / "long_form" per the topic's format decision.
Do NOT omit this: it defaults to long_form, which renders the 16:9 20-minute composition.asset_planner_output (from plan-assets), voice_assignment (from direct-voice).music_director_output (from direct-music) — without it the video has NO music, no
beat-synced cuts, and no sound effects.visual_director_output (from direct-visuals) — without it every shot falls back to a
default crossfade with no color grade.thumbnail_concepts (from generate-thumbnails),
personality_id/personality_name/reference_image_urls.publish_metadata -- title/description/tags from generate-seo-metadata's output,
privacy_status set directly (unrelated to SEO, defaults to "private" if omitted)."simulated": true — that
marks a mock produced by a misconfigured Hermes deployment, and dispatching it spends real
generation budget filming fake data. Surface it for human follow-up instead.hermes-bridge MCP tool start_content_run(payload) — returns {run_id, status: "started"} immediately. A 422 response means the run's projected cost exceeded the
RUN_BUDGET_USD cap — surface it for human review rather than trimming the payload yourself.get_content_run_status(run_id) (a few minutes apart; this is a multi-minute pipeline, do not poll tightly) until status is completed or failed.completed, record the result's publish_result.live_url against the run — and surface
plan_warnings, remediation.notes, qc_result.vision_warnings, and cost_summary.total_usd
to the editorial record; on failed, surface the failed stage for human follow-up.def dispatch_hermes_content_run(run_id: str, content_run_payload: dict) -> dict:
"""Starts and awaits Hermes's content-run pipeline. Returns the final
{"status": "completed"|"failed", ...} result."""
None beyond the hermes-bridge MCP tool (openclaw/mcp/hermes-bridge/) and Hermes's own
Temporal worker (hermes/temporal_worker.py) — already wired, no stub.
Chief Editor model (gemini-direct/gemini-2.5-flash).
Query the keyless academic and public-domain registries (OpenAlex, Crossref, Semantic Scholar, Project Gutenberg, Internet Archive, Stack Exchange) for a topic and get back normalized, copyright-safe reference metadata (title, link, provenance). Use when gather-citations or verify-claims needs primary-literature grounding instead of the LLM's training memory.
Query Wikipedia, Wikidata, Stack Exchange, public Discourse forums, academic APIs, and public-domain archives to synthesize facts, human struggles, and philosophical debates to build the narrative arc for a topic. Store only facts/events/dates/relationships, dialogic tension points, and reference metadata — never full articles (copyright-safe pipeline, spec §2.5).
Query Metacritic, GameSpot, and TVGuide (resolved and read via Bright Data) for a personality's existing game/film/TV adaptation, extracting critic/user scores, narrative themes critics highlighted, and reception debates. Use when generate-psych-profile or backlog-ranking want a critical-reception signal on top of gather-citations' facts and fandom-lore's fan interpretation.
Compose the per-beat music score plan (Lyria cues, deliberate silence segments, optional sound-effect cues) for a content run by calling Hermes's music-director judgment agent. Use when the Content Factory agent must produce the music_director_output that Hermes's content-run pipeline needs for music generation, beat-synced editing, and the SFX layer.
Decide the whole-video visual grade, typography, and per-shot treatments (transitions, camera moves, grade deviations, light leaks) for a content run by calling Hermes's visual-director judgment agent. Use when the Content Factory agent must produce the visual_director_output that Hermes's content-run pipeline needs for shot styling in Video Assembly.
Query Fandom wikis (resolved and read via Bright Data) to extract fan-curated personality traits, relationship dynamics, and fan-framed story arcs for a subject -- the depth Wikipedia's neutral tone doesn't carry. Use when generate-psych-profile or story-universe need fan-interpretation signal alongside gather-citations' verified facts.