Video Generation
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
Prepare, submit, and preserve Runway image-to-video or video-to-video work with validated media provenance.
Install Runway Core Workflow B
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-core-workflow-b -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-core-workflow-b --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/runway-core-workflow-b .claude/skills/runway-core-workflow-b && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "runway-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-core-workflow-b into .claude/skills/runway-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runway-core-workflow-b", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-core-workflow-bType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-core-workflow-b -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-core-workflow-b --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/runway-core-workflow-b .agents/skills/runway-core-workflow-b && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "runway-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-core-workflow-b into .agents/skills/runway-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runway-core-workflow-b", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-core-workflow-b -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-core-workflow-b --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/runway-core-workflow-b .cursor/skills/runway-core-workflow-b && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "runway-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-core-workflow-b into .cursor/skills/runway-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runway-core-workflow-b", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/runway-core-workflow-b--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-core-workflow-b -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-core-workflow-b --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/runway-core-workflow-b .gemini/skills/runway-core-workflow-b && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "runway-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-core-workflow-b into .gemini/skills/runway-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runway-core-workflow-b", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-core-workflow-bInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-core-workflow-b -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/runway-core-workflow-b .github/skills/runway-core-workflow-b && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "runway-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-core-workflow-b into .github/skills/runway-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runway-core-workflow-b", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-core-workflow-b -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-core-workflow-b --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/runway-core-workflow-b .opencode/skills/runway-core-workflow-b && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "runway-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-core-workflow-b into .opencode/skills/runway-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runway-core-workflow-b", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
runway-core-workflow-b- GitHub stars
- 2.8k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 581 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Prepare, submit, and preserve Runway image-to-video or video-to-video work with validated media provenance.
- Works in 6 steps: Classify the transformation → Validate the asset → Choose transport → …
- A generation begins from an asset
- SKILL.md covers Overview, Prerequisites, Instructions and Authentication, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Runway Core Workflow B is an agent skill from jeremylongshore/tons-of-skills-marketplace. Prepare, submit, and preserve Runway image-to-video or video-to-video work with validated media provenance. Use when a generation begins from an asset. Trigger with: "Runway image to video", "Runway video transformation", "upload media to Runway".
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Requires server-side Runway Dev access, current first-party documentation, an approved credit budget, and controlled media storage.
It sits in Media & Creative, covering AI video generation. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- A generation begins from an asset
- With: Runway image to video
- Runway video transformation
- Upload media to Runway
Example prompts
- “Runway image to video”
- “Runway video transformation”
- “upload media to Runway”
- “/runway-core-workflow-b”
Requirements
- Compatibility (from SKILL.md): Requires server-side Runway Dev access, current first-party documentation, an approved credit budget, and controlled media storage.
- Pre-approved tools (allowed-tools): Read, Grep, Write, Edit
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepWriteEdit
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.dev.runwayml.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires server-side Runway Dev access, current first-party documentation, an approved credit budget, and controlled media storage.
From compatibility in the SKILL.md frontmatter.
Context cost
Runway Core Workflow B loads about 1.3k tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 581 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 581 words, ~1,320 tokens.
Download SKILL.mdSave it as
.claude/skills/runway-core-workflow-b/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- runway-core-workflow-b
- description
- Prepare, submit, and preserve Runway image-to-video or video-to-video work with validated media provenance. Use when a generation begins from an asset. Trigger with: "Runway image to video", "Runway video transformation", "upload media to Runway".
- allowed-tools
- Read, Grep, Write, Edit
- compatibility
- Requires server-side Runway Dev access, current first-party documentation, an approved credit budget, and controlled media storage.
- version
- 2.0.0
- argument-hint
- [input-asset-and-intent]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, runway, image-to-video, video-to-video, media
Runway Input-Media Transformation Workflow
Overview
Input media is part of the generation contract and the security boundary. Choose public HTTPS, data URI, or an ephemeral upload deliberately; verify rights, content, size, format, crop, expiry, and model compatibility before spending credits.
Prerequisites
- An approved source asset with provenance and usage rights
- Current input constraints and exact model variant schema
- Temporary-upload and final-output retention policies
Instructions
Step 1: Classify the transformation
Choose image-to-video, video-to-video, upscale, or another documented endpoint from the desired input and output—not from a copied sample. Record the expected preservation and allowed creative change.
Step 2: Validate the asset
Check MIME type, extension, byte size, dimensions, duration, codec, orientation, and moderation policy. Review auto-crop consequences when the source aspect ratio differs from the requested output.
Step 3: Choose transport
Use a reachable HTTPS URL for already hosted media, a data URI only for small inputs, or an ephemeral upload for local files. Never embed large video as base64 merely because a sample does.
Step 4: Create an ephemeral upload safely
For local media, use the SDK helper or the documented two-step upload. A runway:// URI lasts 24 hours, supports reuse within that period, and must not be treated as permanent storage.
Step 5: Submit and track
Validate the chosen model's input fields, persist the request fingerprint and task ID, then use bounded polling. Do not retry a failed upload URL; start a new upload as documented.
Step 6: Validate transformed output
Copy successful output to owned storage and compare duration, dimensions, codec, visible crop, continuity, brand constraints, and safety. Preserve both source and output checksums in the receipt.
Authentication
The Runway API secret remains server-side for uploads, generation, and task reads. Source URLs and temporary Runway/output URLs may grant access to media and must be redacted and expired according to policy.
Tool Discipline
Use Read and Grep to inspect application configuration, provider documentation, lockfiles, fixtures, schemas, tests, and redacted operational evidence before proposing a change. Use Write or Edit only for an approved implementation, configuration, test, runbook, or redacted receipt. Do not create, cancel, delete, retry, deploy, rotate, revoke, publish, or otherwise mutate production Runway resources without explicit operator approval.
Show full SKILL.md (220 more words)Show less
Output
- Input provenance, validation, crop, and transport decision
- Upload and generation identifiers with state evidence
- Owned output with media, safety, and transformation review
Return the environment, organization alias, operation and task identifiers, API and SDK versions, model or router policy, source-contract fingerprint, task-state evidence, credit boundary, output disposition, unresolved risk, rollback state, and final decision without exposing API secrets, prompt or media contents, or temporary signed URLs.
Examples
A private product still is 12 MB and would crop poorly to the target ratio. The worker records rights, pads the composition before upload, creates a 24-hour runway:// URI, submits one compatible image-to-video task, and stores the result under the source checksum.
Error Handling
| Failure | Response |
|---|---|
| Input is outside the selected model contract | Transform the asset through an approved preprocessing step or choose a compatible documented model; do not force the request. |
| Ephemeral upload fails | Start a fresh upload request rather than retrying the failed upload target. |
| Output crop removes required content | Reject the output and revise the approved composition or ratio before another billable attempt. |
Validation
Test public URL, small data URI, and ephemeral-upload adapters with synthetic media; assert exact model constraints, expiry handling, and output copying. Include a visual review for crop and transformation requirements.
Resources
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/.curated/runway-core-workflow-b of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Runway Core Workflow B next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Runway Core Workflow B this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Video Generationbytedance/deer-flow | 84k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Video Cover Imageitwanger/toBeBetterJavaer | 18k | — | ~3.3k | Automated safety check: Pass | None | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video | 2.6k | — | ~3.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Runway Core Workflow B
What does Runway Core Workflow B do?
Prepare, submit, and preserve Runway image-to-video or video-to-video work with validated media provenance. Runway Core Workflow B is an agent skill from jeremylongshore/tons-of-skills-marketplace. Prepare, submit, and preserve Runway image-to-video or video-to-video work with validated media provenance.
When should I use Runway Core Workflow B?
Runway Core Workflow B fits situations like: A generation begins from an asset; with: Runway image to video; runway video transformation; upload media to Runway.
How do I install Runway Core Workflow B in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-core-workflow-b -a claude-code`. Or copy the skill folder (skills/.curated/runway-core-workflow-b in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/runway-core-workflow-b in your project. Claude Code loads it when a task matches its description.
How do I install Runway Core Workflow B in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-core-workflow-b -a codex`. Or copy the skill folder (skills/.curated/runway-core-workflow-b in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/runway-core-workflow-b in your project. Codex loads it when a task matches its description.
Can I use Runway Core Workflow B in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-core-workflow-b -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/runway-core-workflow-b, .gemini/skills/runway-core-workflow-b, .github/skills/runway-core-workflow-b and .opencode/skills/runway-core-workflow-b in your project.
What does Runway Core Workflow B need to run?
SKILL.md names no scripts, command-line tools or credentials: Runway Core Workflow B is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit. Compatibility (from SKILL.md): Requires server-side Runway Dev access, current first-party documentation, an approved credit budget, and controlled media storage..
Does Runway Core Workflow B access the network?
SKILL.md names 1 domain. As links in the text: docs.dev.runwayml.com. This is read from the text; nothing was executed.
Is Runway Core Workflow B safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Runway Core Workflow B use?
Runway Core Workflow B is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Runway Core Workflow B use?
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 967 tokens, read only when the agent opens those files.
What are the alternatives to Runway Core Workflow B?
Skills that share tags, products or a category with Runway Core Workflow B: Video Generation (bytedance/deer-flow, 84k stars), Video Cover Image (itwanger/toBeBetterJavaer, 18k stars), Seedance (songguoxs/seedance-prompt-skill, 2.9k stars) and HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Runway Core Workflow B?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.