Create animated flow diagrams from articles, workflow notes, architecture sketches, or process descriptions using a JSON specification and a local Python/Pillow renderer. Use when the user wants to turn source material into a static PNG + animated GIF diagram.
npx skills add https://github.com/AI-Builder-Club/skills --skill visual-flow-gif
Use this skill when a user wants to turn source material into a clear animated flow diagram.
The output should include:
${CLAUDE_PLUGIN_ROOT}/skills/visual-flow-gif/assets/default-spec.json for the default light theme.${CLAUDE_PLUGIN_ROOT}/skills/visual-flow-gif/assets/dark-spec.json only when the user asks for a dark version.x, y, w, and h values for predictable layout.animation.pulses; pulse highlights are strong by default.${CLAUDE_PLUGIN_ROOT}/skills/visual-flow-gif/references/spec-format.md for field details.Requires Python 3.10+ and Pillow 10+. If Pillow is missing, install it first:
python3 -m pip install -r ${CLAUDE_PLUGIN_ROOT}/skills/visual-flow-gif/requirements.txt
python3 ${CLAUDE_PLUGIN_ROOT}/skills/visual-flow-gif/scripts/render_animated_gif.py \
--spec /path/to/spec.json \
--outdir /path/to/output \
--basename diagram \
--verify \
--check
Always run with --verify --check before delivery.
--verify prints sampled frame differences so the GIF animation can be confirmed.
--check validates that:
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
> Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices.
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services", "organize by domain", "component-to-domain mapping", or planning service extraction from an existing codebase. Do NOT use for identifying new domains from scratch (use domain-analysis) or analyzing coupling (use coupling-analysis).
Take ai-builder-club/visual-flow-gif from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.