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Generate TimestampPromptSchedule variations from audio analysis and init_image. Follows i2v rules (present-progressive, describe changes only, singing together for multi-person, no dolly out). Outputs 3 variations (framing-only, energy-matched, lighting shifts).
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
Canonical first-pass when a ComfyUI-AudioLoopHelper workflow won't run or fails validation. Use when the user mentions "workflow won't run", "dependency cycle detected", "validation failed", "Failed to convert ... to INT", "control_after_generate", or describes a recent ComfyUI render that didn't get past prompt validation, or reports a loop/full-song render that is pathologically slow or re-encodes (text-encode / audio / keyframe) every iteration. Runs the canonical diagnosis (ComfyUI log tail, audit, DAG inspection, exec log review, launch-flag check for --cache-none) BEFORE any inline orjson scripting. Reference: docs/reference/debug_tools.md.
Structural diff of two ComfyUI workflow JSON files — node types, widget values, link topology, subgraph schemas — with noise filtered out (link IDs, node positions, ordering). Use when debugging "why does workflow A behave differently than B" or verifying a migration script produced the intended shape change.
Generate an LTX 2.3 prompt that makes a character speak SPECIFIC dialogue, formatted per the official LTX 2.3 prompt guide (short quoted segments with acting directions between, accent, acoustic environment). Use when the user wants to put words in a character's mouth for the AV inversion / one-pass / keyframe workflows (voice-cloned dubbing, dialogue replacement).
Scaffold a new scripts/apply_*.py workflow migration script from scripts/templates/, enforcing the project's idempotence + paired-audit-check convention. Use when adding a new fix that mutates example_workflows/*.json or stages an experimental variant.
Dispatch three parallel Explore agents to validate a structural refactor BEFORE writing changes. Use when the user proposes restructuring multiple CLAUDE.md / docs / agent / skill files (signal: ≥ 3 files, ≥ 2 different concerns), or when planning a curation pass on documentation. Cost ~30s of agent time; turns vague "compress this" into a concrete edit list and prevents premature subtree splits.
Analyze audio file for music video prompt scheduling. Picks the right analyzer (ffmpeg-only for quick energy/structure, librosa for BPM/key/F0/JSON-export-for-LLM), and outputs a prompt schedule template with timestamps. Also works on generated audio for diagnostic comparison.
| name | prompt-schedule |
| description | Generate TimestampPromptSchedule variations from audio analysis and init_image. Follows i2v rules (present-progressive, describe changes only, singing together for multi-person, no dolly out). Outputs 3 variations (framing-only, energy-matched, lighting shifts). |
| disable-model-invocation | true |
Generate prompt schedule variations for the LTX 2.3 audio-looped music video workflow.
/prompt-schedule <audio_file> [--image <image_path>] [--trim <seconds>]
scripts/analyze_audio.py on the audio file with the specified trim offsetdocs/guides/prompt_creation_guide.md:
static camera, locked off shot, focus shift, rack focus, dolly in, camera pushing forwardFor each variation, output:
still image with no motion, subtitles, text, scene change, blurry, out of focus, overexposed, underexposed, low contrast, washed out colors, excessive noise, grainy texture, poor lighting, flickering, motion blur, distorted proportions, unnatural skin tones, deformed facial features, asymmetrical face, missing facial features, extra limbs, disfigured hands, wrong hand count, inconsistent perspective, camera shake, incorrect depth of field, face swap, merged faces, wrong number of people, third person appearing
| Setting | Default | Notes |
|---|---|---|
| overlap_seconds | 2.0 | Increase to 3.0 if jitter |
| blend_seconds | 5.0 | Increase to 10.0 if style drift at boundaries |
| node 567 start_index | from --trim arg | Skip instrumental intro |