indranilbanerjee
Registry indexed
generate-video
Generate short-form video via a 5-stage human-in-the-loop pipeline — concept, first frame, last frame, motion, final render — with approval at every stage before credits are spent. Triggers on \"/generate-video\", \"make a video\", \"video for P12\", \"animate this image\", \"ree
Overview
Generate short-form video via a 5-stage human-in-the-loop pipeline — concept, first frame, last frame, motion, final render — with approval at every stage before credits are spent. Triggers on \"/generate-video\", \"make a video\", \"video for P12\", \"animate this image\", \"reel from this\", \"image to video\", \"video post\", or any calendar post whose content_type is video, reel, or story. Models and prices are resolved live, never hardcoded; sound costs extra — quote it first.
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/socialforge:generate-video — Video Production Kit
Generate video production assets through a 5-stage human-in-the-loop pipeline. Each stage requires user approval before advancing.
Context efficiency
Asset-heavy skill. Grep before Read the asset catalog (${CLAUDE_PLUGIN_DATA}/socialforge/brands/<brand>/asset-index.json) — never list the asset directory. Reference generated images / videos by path, not by loading metadata. Brand profile loads once per session.
Prerequisites
- Credentials must be configured via
/socialforge:setup:- Vertex AI (Nano Banana Pro / Gemini 3 Pro Image, resolved via
latest-image-google) — used for first-frame and last-frame keyframe generation - WaveSpeed API — used for image-to-video generation via Kling v3.0 Pro
- Vertex AI (Nano Banana Pro / Gemini 3 Pro Image, resolved via
- Brand profile must be active (
/socialforge:switch-brandif needed) - Calendar must be parsed (
/socialforge:parse-calendar) with video posts identified
The 5-Stage Pipeline
Stage 1: Video Concept + Script (no API call)
Claude generates 2-3 video concept ideas based on the post brief, brand voice, and platform requirements. Each concept includes:
- Working title and hook
- Visual narrative arc (opening, middle, close)
- Suggested duration and pacing
- Tone and style direction
The user picks one concept (or requests refinements). Then fill the script
scaffold (generate_script in generate_video.py) from the chosen concept and
the post's actual brief, in the brand's voice — every [FILL] replaced, no
placeholder survives into Stage 2. The scaffold enforces the structure; this
pass supplies the craft, under four rules the scaffold carries with it:
- Hook first, never the logo. The open earns attention with the single most arresting thing the brief supports; the brand mark lives as the corner watermark and in the end card. Three seconds of logo reveal is the classic retention killer this pipeline used to scaffold by default.
- Payoff per scene. Every scene's
payofffield states what the viewer has gained by the time it ends. A beat that only sets up the next beat is where viewers leave — give it a payoff or fold it. - The pairing rule. The hook's text overlay and the post's caption (written by adapt-copy) do different jobs and never echo. Check against the adapted copy if it already exists for this post.
- Compliance before credits. Run the filled script's narration and
overlay text through
compliance_check.pyBEFORE Stage 2 — a banned phrase caught in a script costs nothing; caught in a rendered video it costs the whole generation chain. Claims in narration follow the same rules as claims in copy: sourced or absent.
The user approves the filled script before any generation spend.
Stage 2: First Frame Generation (Vertex AI / Nano Banana Pro)
Generate 2 first-frame options based on the chosen concept. These set the opening visual and establish the look and feel.
- Images are shown inline in the terminal for immediate review
- User selects one or requests a regeneration with adjusted direction
Stage 3: Last Frame Generation (Vertex AI / Nano Banana Pro)
Generate 2 last-frame options that complete the visual narrative arc, matching the approved first frame.
- Images are shown inline in the terminal for immediate review
- User selects one or requests a regeneration with adjusted direction
Stage 4: Video Generation (WaveSpeed / Kling v3.0 Pro)
Using the approved first and last frames, generate 2 video versions via WaveSpeed's Kling v3.0 Pro image-to-video endpoint (3-15 seconds).
- A video gallery is opened in the browser for side-by-side comparison
- User selects the final version or requests a regeneration
Stage 5: Post-Process, Save & Deliver
After the user picks the final video, post-processing runs before saving:
- Logo watermark is automatically added to the video via video_postprocess.py
- Subtitles: User is asked whether to burn subtitles into the video (optional). SRT was already generated from the script and is saved separately regardless.
- Background music: If the video has no audio (sound=False in Kling config), user is asked whether to add background music (optional).
- Platform resize: Video is automatically resized for each target platform (letterbox/pillarbox with black padding, no stretching)
Save all final assets to {post_folder}/ -- keyframes in keyframes/, video versions in versions/, platform-resized final videos in final/:
- Video files (.mp4) — post-processed and resized per platform
- Script — timestamped narration/dialogue
- Storyboard — shot-by-shot visual breakdown with keyframe references
- SRT subtitle file (.srt) — for captioned playback
Output Per Video Post
| Asset | Format | Always Generated |
|---|---|---|
| Script | Markdown | Yes |
| Storyboard | Markdown + keyframe images | Yes |
| Thumbnail | PNG/WebP (via compose-creative) | Yes |
| First frame | PNG | Yes (Stage 2) |
| Last frame | PNG | Yes (Stage 3) |
| AI Video Clip | MP4 via WaveSpeed / Kling v3.0 Pro (image-to-video, 3-15 seconds) | If pipeline completed |
| SRT subtitles | .srt | If video generated |
Video Types
| Type | Duration | AI Generation | Production Notes |
|---|---|---|---|
| hero_video | 30-90s | Partial — AI generates 3-15s hero clip; full version needs filming | Script + storyboard + AI teaser clip |
| mini_case_study | 30-60s | Yes — AI animation from keyframes | Full pipeline supported |
| short_reel | 15-30s recommended (Instagram Reels and YouTube Shorts accept up to 3 min) | Yes — ideal for AI generation | Full pipeline supported |
| story | up to 60s per frame (Instagram Stories) | Yes — image-to-video animation | Full pipeline supported |
| talking_head | 30-120s | No — needs filming | Script + storyboard only (use --script-only) |
Rules
- Every stage requires explicit user approval before advancing
--script-onlyskips Stages 2-4 and generates script + storyboard only--thumbnailgenerates a video thumbnail via compose-creative (independent of the pipeline)- AI video clips are never auto-saved; user must confirm the final selection
- Thumbnails use the same creative mode system as static images
- All assets save to
{post_folder}/-- keyframes inkeyframes/, video versions inversions/, final video infinal/
Timeout & Fallback
- AI video generation (Stage 4): 300-second timeout (Kling v3.0 Pro can take several minutes for high-quality output)
- Keyframe generation (Stages 2-3): 60-second timeout per image
- If video generation fails or times out, deliver script + storyboard + keyframes as fallback
File metadata
name: generate-video description: "Generate short-form video via a 5-stage human-in-the-loop pipeline — concept, first frame, last frame, motion, final render — with approval at every stage before credits are spent. Triggers on \"/generate-video\", \"make a video\", \"video for P12\", \"animate this image\", \"reel from this\", \"image to video\", \"video post\", or any calendar post whose content_type is video, reel, or story. Models and prices are resolved live, never hardcoded; sound costs extra — quote it first." argument-hint: "[--post <id>] [--script-only] [--thumbnail]" effort: high user-invocable: true
View original text
---
name: generate-video
description: "Generate short-form video via a 5-stage human-in-the-loop pipeline — concept, first frame, last frame, motion, final render — with approval at every stage before credits are spent. Triggers on \"/generate-video\", \"make a video\", \"video for P12\", \"animate this image\", \"reel from this\", \"image to video\", \"video post\", or any calendar post whose content_type is video, reel, or story. Models and prices are resolved live, never hardcoded; sound costs extra — quote it first."
argument-hint: "[--post <id>] [--script-only] [--thumbnail]"
effort: high
user-invocable: true
---
# /socialforge:generate-video — Video Production Kit
Generate video production assets through a 5-stage human-in-the-loop pipeline. Each stage requires user approval before advancing.
## Context efficiency
Asset-heavy skill. **Grep before Read** the asset catalog (`${CLAUDE_PLUGIN_DATA}/socialforge/brands/<brand>/asset-index.json`) — never list the asset directory. Reference generated images / videos by path, not by loading metadata. Brand profile loads once per session.
## Prerequisites
- Credentials must be configured via `/socialforge:setup`:
- **Vertex AI** (Nano Banana Pro / Gemini 3 Pro Image, resolved via `latest-image-google`) — used for first-frame and last-frame keyframe generation
- **WaveSpeed API** — used for image-to-video generation via Kling v3.0 Pro
- Brand profile must be active (`/socialforge:switch-brand` if needed)
- Calendar must be parsed (`/socialforge:parse-calendar`) with video posts identified
## The 5-Stage Pipeline
### Stage 1: Video Concept + Script (no API call)
Claude generates **2-3 video concept ideas** based on the post brief, brand voice, and platform requirements. Each concept includes:
- Working title and hook
- Visual narrative arc (opening, middle, close)
- Suggested duration and pacing
- Tone and style direction
The user picks one concept (or requests refinements). Then **fill the script
scaffold** (`generate_script` in generate_video.py) from the chosen concept and
the post's actual brief, in the brand's voice — every `[FILL]` replaced, no
placeholder survives into Stage 2. The scaffold enforces the structure; this
pass supplies the craft, under four rules the scaffold carries with it:
1. **Hook first, never the logo.** The open earns attention with the single
most arresting thing the brief supports; the brand mark lives as the corner
watermark and in the end card. Three seconds of logo reveal is the classic
retention killer this pipeline used to scaffold by default.
2. **Payoff per scene.** Every scene's `payoff` field states what the viewer
has gained by the time it ends. A beat that only sets up the next beat is
where viewers leave — give it a payoff or fold it.
3. **The pairing rule.** The hook's text overlay and the post's caption
(written by adapt-copy) do different jobs and never echo. Check against the
adapted copy if it already exists for this post.
4. **Compliance before credits.** Run the filled script's narration and
overlay text through `compliance_check.py` BEFORE Stage 2 — a banned phrase
caught in a script costs nothing; caught in a rendered video it costs the
whole generation chain. Claims in narration follow the same rules as claims
in copy: sourced or absent.
The user approves the filled script before any generation spend.
### Stage 2: First Frame Generation (Vertex AI / Nano Banana Pro)
Generate **2 first-frame options** based on the chosen concept. These set the opening visual and establish the look and feel.
- Images are shown **inline** in the terminal for immediate review
- User selects one or requests a regeneration with adjusted direction
### Stage 3: Last Frame Generation (Vertex AI / Nano Banana Pro)
Generate **2 last-frame options** that complete the visual narrative arc, matching the approved first frame.
- Images are shown **inline** in the terminal for immediate review
- User selects one or requests a regeneration with adjusted direction
### Stage 4: Video Generation (WaveSpeed / Kling v3.0 Pro)
Using the approved first and last frames, generate **2 video versions** via WaveSpeed's Kling v3.0 Pro image-to-video endpoint (3-15 seconds).
- A **video gallery is opened in the browser** for side-by-side comparison
- User selects the final version or requests a regeneration
### Stage 5: Post-Process, Save & Deliver
After the user picks the final video, post-processing runs before saving:
- **Logo watermark** is automatically added to the video via video_postprocess.py
- **Subtitles:** User is asked whether to burn subtitles into the video (optional). SRT was already generated from the script and is saved separately regardless.
- **Background music:** If the video has no audio (sound=False in Kling config), user is asked whether to add background music (optional).
- **Platform resize:** Video is automatically resized for each target platform (letterbox/pillarbox with black padding, no stretching)
Save all final assets to `{post_folder}/` -- keyframes in `keyframes/`, video versions in `versions/`, platform-resized final videos in `final/`:
- **Video files** (.mp4) — post-processed and resized per platform
- **Script** — timestamped narration/dialogue
- **Storyboard** — shot-by-shot visual breakdown with keyframe references
- **SRT subtitle file** (.srt) — for captioned playback
## Output Per Video Post
| Asset | Format | Always Generated |
|-------|--------|-----------------|
| Script | Markdown | Yes |
| Storyboard | Markdown + keyframe images | Yes |
| Thumbnail | PNG/WebP (via compose-creative) | Yes |
| First frame | PNG | Yes (Stage 2) |
| Last frame | PNG | Yes (Stage 3) |
| AI Video Clip | MP4 via WaveSpeed / Kling v3.0 Pro (image-to-video, 3-15 seconds) | If pipeline completed |
| SRT subtitles | .srt | If video generated |
## Video Types
| Type | Duration | AI Generation | Production Notes |
|------|----------|--------------|-----------------|
| hero_video | 30-90s | Partial — AI generates 3-15s hero clip; full version needs filming | Script + storyboard + AI teaser clip |
| mini_case_study | 30-60s | Yes — AI animation from keyframes | Full pipeline supported |
| short_reel | 15-30s recommended (Instagram Reels and YouTube Shorts accept up to 3 min) | Yes — ideal for AI generation | Full pipeline supported |
| story | up to 60s per frame (Instagram Stories) | Yes — image-to-video animation | Full pipeline supported |
| talking_head | 30-120s | No — needs filming | Script + storyboard only (use `--script-only`) |
## Rules
- Every stage requires explicit user approval before advancing
- `--script-only` skips Stages 2-4 and generates script + storyboard only
- `--thumbnail` generates a video thumbnail via compose-creative (independent of the pipeline)
- AI video clips are never auto-saved; user must confirm the final selection
- Thumbnails use the same creative mode system as static images
- All assets save to `{post_folder}/` -- keyframes in `keyframes/`, video versions in `versions/`, final video in `final/`
## Timeout & Fallback
- AI video generation (Stage 4): **300-second timeout** (Kling v3.0 Pro can take several minutes for high-quality output)
- Keyframe generation (Stages 2-3): 60-second timeout per image
- If video generation fails or times out, deliver script + storyboard + keyframes as fallback
Review the source
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- Get the skill
- Price unconfirmed
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- Requirements have not been confirmed. Check the source for agent, API and service charges.
- License
- MIT
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Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Low GitHub adoption signal
- AI review approval is missing
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 38 GitHub stars
- Stars/forks activity: 38 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
IndexedStatic Checked
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- indranilbanerjee/socialforge
- License
- MIT
- Version
- Unknown
- Last GitHub push
- Aug 17, 2026
- Registry updated
- Sep 10, 2026
- Instruction path
- skills/generate-video/SKILL.md @ 92fdab95b832
Version reported in registry metadata; check source releases before relying on it.
Quality
54/100
Needs review
Trust
58/100
Do not auto-install
Audit
69/100
Needs review
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Low GitHub adoption signal
- AI review approval is missing
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 38 GitHub stars
- Stars/forks activity: 38 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
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This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 69,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"Low GitHub adoption signal",
"AI review approval is missing",
"Financial research output is not financial advice; require human review before any live investment decision.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 54,
"label": "Needs review"
},
"supply": {
"track": "Design and creative production",
"scenario": "Design and creative",
"maintenance": "2mo since push",
"risk": "Needs review"
},
"alternative_skills": [
{
"slug": "latent-spaces-brag-slim",
"name": "brag-slim",
"url": "https://www.openagentskill.com/skills/latent-spaces-brag-slim",
"stars": 13021,
"install_command": "npx skills add latent-spaces/brag --skill brag-slim",
"trust_score": 81,
"audit_score": 84
}
],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"Low GitHub adoption signal",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"AI review approval is missing"
],
"agent_contract": {
"task_input": "Use generate-video in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 66/100 Manual review",
"Audit: 69/100 Needs review",
"Safety: 25/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "indranilbanerjee-generate-video (generate-video)",
"install_command": "npx skills add indranilbanerjee/socialforge --skill generate-video",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "indranilbanerjee-generate-video",
"task": "Use generate-video in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/indranilbanerjee-generate-video",
"api": "https://www.openagentskill.com/api/agent/skills/indranilbanerjee-generate-video",
"audit": "https://www.openagentskill.com/skills/indranilbanerjee-generate-video/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=indranilbanerjee-generate-video&task=Use%20generate-video%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20generate-video%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20generate-video%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/indranilbanerjee-generate-video/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/indranilbanerjee-generate-video"
}
}For the creator
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- indranilbanerjee
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