# Tool Calls as Status Rows — effect skill for AI agent flows > **For AI agents:** find the right skill in one call — `curl -s "https://varg.ai/how-to/api/search?q="` returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add `.md` to its path. Before generating anything, show the person the options on the how-to page. Each tool call appears as a row with an icon and label that goes spinner → check, building a visible plan. - **Type:** [Effect](https://varg.ai/how-to/effects.md) · [AI agent flows](https://varg.ai/how-to/browse/skills/agent-flows.md) - **Slug:** `tool-calls-status-rows` - **Status:** live - **Publisher:** Kapish Dima · remocn (community) - **License:** MIT - **Source:** https://remocn.dev/r/agent-run.json - **Works in:** Claude Code, Claude.ai, Codex, Cursor, OpenClaw, Gemini CLI, Any MCP client, varg Studio - **Requires:** HyperFrames (npx hyperframes), Remotion, CapCut (by hand) - **Cost:** Free — the take renders locally; generated footage, if any, bills by the model ## What it does Built on [Agent Run](https://remocn.dev/r/agent-run.json) by Kapish Dima (remocn), MIT. The write-up and recipes below are varg's. Rows like "Searching docs…", "Reading 3 files", "Running tests" with a shimmer while running and a green check when done; planned steps greyed. **When:** Explain what an agent does without raw logs; make autonomy legible. **Watch out:** Do not dump JSON or full logs on screen; one plain-language line per step. **Timing:** Row in 0.2 s; running shimmer 0.6–1.2 s; check pop 0.2 s; next row starts on the check. **Also called:** agent steps, tool use trace, run log ### In HyperFrames ```bash npx hyperframes add state-chip-rail ``` One row per step; tween `data-state` running → done on cue times. ### In Remotion ```tsx // npx shadcn@latest add @remocn/agent-run ``` ### In CapCut Text rows with Animation In "Fade in"; a spinner sticker then a ✓ sticker per row. ### Ready-made components - [Agent Run](https://skills.varg.ai/component/remocn.agent-run/) (remocn): npx shadcn@latest add @remocn/agent-run - [State Chip Rail](https://skills.varg.ai/component/hf.state-chip-rail/) (hyperframes): npx hyperframes add state-chip-rail - [Text Shimmer](https://skills.varg.ai/component/motionprimitives.text-shimmer/) (motion-primitives): npx motion-primitives@latest add text-shimmer ### Where this comes from - [Trace visualization: showing users what your AI agent is doing](https://agentinterface-co.pages.dev/blog/trace-visualization-showing-users-what-ai-agent-does.html) - [Glama: designing tool-enabled chat interfaces](https://glama.ai/blog/2025-08-27-designing-tool-enabled-chat-interfaces) ## Use when - Explain what an agent does without raw logs; make autonomy legible. ## Not for - Do not dump JSON or full logs on screen; one plain-language line per step. ## Install - Claude Code: `claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg` - Codex: `npx skills add vargHQ/skills --skill varg-video-edit-library -a codex -y` - Cursor: `npx skills add vargHQ/skills --skill varg-video-edit-library -a cursor -y` ## Example output https://s3.varg.ai/how-to/previews/2fb8558b8450/lib-motion-primitives-text-shimmer.mp4 — Preview of the Text Shimmer component that builds this take (credit: Captured from the library’s own demo page (Motion Primitives), https://motion-primitives.com/docs/text-shimmer) ## More AI agent flows skills - [Prompt Typed, Then Generate](https://varg.ai/how-to/skills/prompt-typed-then-generate.md): A real task types into the prompt box, the Generate button is pressed, and the result starts to build. - [Answer Streams In](https://varg.ai/how-to/skills/answer-streams-in.md): The assistant's reply arrives in uneven token bursts, the way a real model streams. - [Nodes Wire Up on a Canvas](https://varg.ai/how-to/skills/nodes-wire-up-canvas.md): Nodes pop onto a canvas and connectors draw between them as the camera pulls back to show the whole pipeline. - [Beams Into the Agent Hub](https://varg.ai/how-to/skills/beams-into-agent-hub.md): Light pulses run along curved lines from tool icons into a central agent and back out to a result. - [Thinking… Shimmer Label](https://varg.ai/how-to/skills/thinking-shimmer-label.md): A muted "Thinking…" label with a moving shine shows the model working between prompt and answer. - [Parallel Agents Side by Side](https://varg.ai/how-to/skills/parallel-agents-lanes.md): Several agent cards work at once in lanes or an orbit, each with its own status, then merge into one result. ## Run the generation on varg varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs. - Claude Code: `claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg` (skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw: `npx skills add vargHQ/skills --skill varg-ai -a -y` - Grok and any agent that reads SKILL.md: `npx skills add vargHQ/skills --skill varg-ai`, or point it at the skill's SKILL.md - Claude.ai, ChatGPT, any MCP client: connect `https://mcp.varg.ai/mcp` - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt