Agent skill

Runway Core Workflow A

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Design a Runway text-to-video job from the current model-discriminated API contract and preserve its asynchronous evidence.

MITAuto-check passedMedia & Creative

Install Runway Core Workflow A

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-core-workflow-a -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-core-workflow-a --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-a .claude/skills/runway-core-workflow-a && rm -rf skills-src

Use ~/.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/

Facts

Skill name
runway-core-workflow-a
GitHub stars
2.8k
Token cost
~1.3k tokens
SKILL.md length
565 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Design a Runway text-to-video job from the current model-discriminated API contract and preserve its asynchronous evidence.

  • Works in 6 steps: Define the output contract → Choose direct model or router → Read the exact variant → …
  • Implementing direct model generation
  • 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 A is an agent skill from jeremylongshore/tons-of-skills-marketplace. Design a Runway text-to-video job from the current model-discriminated API contract and preserve its asynchronous evidence. Use when implementing direct model generation. Trigger with: "Runway text to video", "choose Runway video model", "submit Runway generation".

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, Async programming and API design. 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

  • Implementing direct model generation
  • With: Runway text to video
  • Choose Runway video model
  • Submit Runway generation

Example prompts

  • “Runway text to video”
  • “choose Runway video model”
  • “submit Runway generation”
  • “/runway-core-workflow-a”

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.

  1. Define the output contract
  2. Choose direct model or router
  3. Read the exact variant
  4. Freeze and submit
  5. Observe without duplication
  6. Validate and preserve

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:

    • Read
    • Grep
    • Write
    • Edit

    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 A 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 72 tokens; SKILL.md has 565 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.3k

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). 565 words, ~1,314 tokens.

Download SKILL.mdSave it as .claude/skills/runway-core-workflow-a/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-a
description
Design a Runway text-to-video job from the current model-discriminated API contract and preserve its asynchronous evidence. Use when implementing direct model generation. Trigger with: "Runway text to video", "choose Runway video model", "submit Runway generation".
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
[prompt-and-output-contract]
model
inherit
effort
high
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, runway, text-to-video, models, workflow

Model-Grounded Text-to-Video Workflow

Overview

Treat model choice as an API-schema decision, not a marketing label. Runway request bodies are discriminated by model; valid ratios, durations, prompt limits, optional controls, price, and even required fields can differ between models.

Prerequisites

  • A product requirement covering quality, latency, duration, ratio, and budget
  • Current Runway models, API reference, and pricing pages
  • Durable task tracking and owned output storage

Instructions

Step 1: Define the output contract

Record modality, intended use, dimensions, duration, audio need, quality threshold, deadline, moderation policy, and maximum credits. Separate hard constraints from preferences.

Step 2: Choose direct model or router

Use a direct model when reproducibility requires a reviewed identifier. Use a saved Model Router when policy should optimize cost, latency, or quality within approved allow and deny lists; use its dry run before billable work.

Step 3: Read the exact variant

Inspect the current text_to_video schema for the chosen model. For example, gen4.5 currently supports text input, but this skill does not transplant its ratio or duration fields to another model.

Step 4: Freeze and submit

Persist the model or router config, normalized request, documentation fingerprint, and approval before create. Store the returned task ID immediately.

Step 5: Observe without duplication

Use the SDK wait helper or bounded polling. Treat THROTTLED as queued and distinguish queue time from execution time. Recover from client interruption by retrieving the saved task.

Step 6: Validate and preserve

On success, download output, verify media type, duration, dimensions, and checksum, then run the product quality review. On failure, apply the HTTP or task-failure policy rather than silently changing models.

Authentication

All model, router, task, and usage calls use the server-side Runway API secret. Direct HTTP also sends the reviewed X-Runway-Version; temporary output URLs remain confidential until copied to controlled storage.

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 (211 more words)Show less

Output

  • Reviewed model-or-router decision with current schema and price evidence
  • Durable request fingerprint, task timeline, and terminal-state receipt
  • Owned output plus technical and product-quality results

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 product requires portrait video under a fixed ceiling. The team reviews two eligible models, dry-runs an approved router, records the selected policy, submits one task, and accepts the asset only after terminal success and media validation.

Error Handling

FailureResponse
No model satisfies hard constraintsReturn the incompatibility instead of inventing an identifier or unsupported field.
Request receives 400Compare every field with the exact selected model variant; do not reuse another model's ratio or duration.
Client disconnects after createResume from the stored task ID and never infer that no task was created.

Validation

Use contract tests for every approved model or router configuration, reject unknown identifiers and extra fields, simulate disconnect recovery, and verify technical plus human quality gates on a controlled canary.

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-a 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 A 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.

Runway Core Workflow A compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Runway Core Workflow A this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.3kAutomated safety check: PassMIT
Image Generation Gatewayscalesthio/generative-media-skills197—~20kAutomated safety check: PassMIT
Video Generationbytedance/deer-flow84k3 repos~1.4kAutomated safety check: PassMIT
Video Cover Imageitwanger/toBeBetterJavaer18k—~3.3kAutomated safety check: PassNone
Seedancesongguoxs/seedance-prompt-skill2.9k1 repos~2.5kAutomated safety check: PassNone
HyperFrames Video Entry Pointheygen-com/hyperframes60k3 repos~5.2kAutomated safety check: PassApache-2.0

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Questions about Runway Core Workflow A

What does Runway Core Workflow A do?

Design a Runway text-to-video job from the current model-discriminated API contract and preserve its asynchronous evidence. Runway Core Workflow A is an agent skill from jeremylongshore/tons-of-skills-marketplace. Design a Runway text-to-video job from the current model-discriminated API contract and preserve its asynchronous evidence.

When should I use Runway Core Workflow A?

Runway Core Workflow A fits situations like: implementing direct model generation; with: Runway text to video; choose Runway video model; submit Runway generation.

How do I install Runway Core Workflow A in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-core-workflow-a -a claude-code`. Or copy the skill folder (skills/.curated/runway-core-workflow-a in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/runway-core-workflow-a in your project. Claude Code loads it when a task matches its description.

How do I install Runway Core Workflow A in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-core-workflow-a -a codex`. Or copy the skill folder (skills/.curated/runway-core-workflow-a in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/runway-core-workflow-a in your project. Codex loads it when a task matches its description.

Can I use Runway Core Workflow A 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-a -a cursor` (or -a -a, -a or -a for the others). To copy it by hand, put the folder in .cursor/skills/runway-core-workflow-a, .gemini/skills/runway-core-workflow-a, .github/skills/runway-core-workflow-a and .opencode/skills/runway-core-workflow-a in your project.

What does Runway Core Workflow A need to run?

SKILL.md names no scripts, command-line tools or credentials: Runway Core Workflow A 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 A 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 A 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 A use?

Runway Core Workflow A 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 A 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 961 tokens, read only when the agent opens those files.

What are the alternatives to Runway Core Workflow A?

Skills that share tags, products or a category with Runway Core Workflow A: Image Generation Gateways (calesthio/generative-media-skills, 197 stars), Video Generation (bytedance/deer-flow, 84k stars), Video Cover Image (itwanger/toBeBetterJavaer, 18k stars) and Seedance (songguoxs/seedance-prompt-skill, 2.9k 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 A?

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.