Find your landing page message
Connect a product’s value to a specific audience and write a clear first-screen message.
Use Anthropic's slack-gif-creator skill to build animated GIFs that stay inside Slack's practical size, duration, and dimension constraints. It gives an agent a bounded GIF-production workflow, not a generic image library or chat sticker listing.
--- name: generate-slack-ready-animated-gifs-from-custom-frame-sequences slug: "generate-slack-ready-animated-gifs-from-custom-frame-sequences" description: "Use Anthropic's slack-gif-creator skill to build animated GIFs that stay inside Slack's practical size, duration, and dimension constraints. It gives an agent a bounded GIF-production workflow, not a generic image library or chat sticker listing." verification: "security_reviewed" source: "https://github.com/anthropics/skills/tree/main/skills/slack-gif-creator" author: "Anthropic" publisher_type: "Public repository" category: "Image & Creative Automation" framework: "Claude Agents" --- # Generate Slack-ready animated GIFs from custom frame sequences Use Anthropic's slack-gif-creator skill to build animated GIFs that stay inside Slack's practical size, duration, and dimension constraints. It gives an agent a bounded GIF-production workflow, not a generic image library or chat sticker listing. ## Prerequisites Python, Pillow, imageio, imageio-ffmpeg, numpy, and optional uploaded source images ## Installation Requirements and caveats from upstream: - The frontmatter requires only two fields: Basic usage or getting-started notes: - Select document-skills or example-skills - /plugin install example-skills@anthropic-agent-skills - These example skills are all already available to paid plans in Claude.ai. - Source: https://github.com/anthropics/skills/tree/main/skills/slack-gif-creator - Extracted from upstream docs: https://raw.githubusercontent.com/anthropics/skills/HEAD/README.md ## Documentation - https://raw.githubusercontent.com/anthropics/skills/main/skills/slack-gif-creator/SKILL.md ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/generate-slack-ready-animated-gifs-from-custom-frame-sequences/)--- name: generate-slack-ready-animated-gifs-from-custom-frame-sequences slug: "generate-slack-ready-animated-gifs-from-custom-frame-sequences" description: "Use Anthropic's slack-gif-creator skill to build animated GIFs that stay inside Slack's practical size, duration, and dimension constraints. It gives an agent a bounded GIF-production workflow, not a generic image library or chat sticker listing." verification: "security_reviewed" source: "https://github.com/anthropics/skills/tree/main/skills/slack-gif-creator" author: "Anthropic" publisher_type: "Public repository" category: "Image & Creative Automation" framework: "Claude Agents" --- # Generate Slack-ready animated GIFs from custom frame sequences Use Anthropic's slack-gif-creator skill to build animated GIFs that stay inside Slack's practical size, duration, and dimension constraints. It gives an agent a bounded GIF-production workflow, not a generic image library or chat sticker listing. ## Prerequisites Python, Pillow, imageio, imageio-ffmpeg, numpy, and optional uploaded source images ## Installation Requirements and caveats from upstream: - The frontmatter requires only two fields: Basic usage or getting-started notes: - Select document-skills or example-skills - /plugin install example-skills@anthropic-agent-skills - These example skills are all already available to paid plans in Claude.ai. - Source: https://github.com/anthropics/skills/tree/main/skills/slack-gif-creator - Extracted from upstream docs: https://raw.githubusercontent.com/anthropics/skills/HEAD/README.md ## Documentation - https://raw.githubusercontent.com/anthropics/skills/main/skills/slack-gif-creator/SKILL.md ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/generate-slack-ready-animated-gifs-from-custom-frame-sequences/)
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.