How do I install the Action And Motion Understanding skill?

Run npx skillmds@latest add dingxingdi/action-and-motion-understanding-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Action And Motion Understanding safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Action And Motion Understanding?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Action And Motion Understanding free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Action And Motion Understanding?

dingxingdi (@dingxingdi) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Action And Motion Understanding by dingxingdi

Name: Action And Motion Understanding
Author: dingxingdi

Action And Motion Understanding

Use this skill when the user wants questions about what someone did, what happens next, which way something moved, whether one movement is faster or slower, or when two clips look almost the same unless you watch the motion carefully. Trigger it for requests like 'make questions about tiny movement differences', 'ask what happened right after', 'which way did it go', 'who moved faster', or 'make the answer depend on the action sequence rather than the still image.'

dingxingdi Updated Sep 17, 2026

File contents

Skill: action-and-motion-understanding

1. Capability Definition & Real Case

Professional Definition: The capability to infer what agents or objects are doing from temporally evolving evidence, including fine-grained action type, relative motion, motion direction, and immediate next-step dynamics that cannot be resolved from a single frame.
Dimension Hierarchy: Temporal-Spatial Understanding->Dynamic Event Perception->action-and-motion-understanding

Real Case

[Case 1]

Initial Environment: A 16-second third-person kitchen clip. A person places a food box on the counter, reaches toward a cabinet, and slightly shifts their body orientation before touching the handle. There are no subtitles, and the background objects stay almost unchanged throughout the clip.
Real Question: What will the person do next?
Real Trajectory: Observe the hand trajectory after the box is placed, note the person reorients toward the cabinet rather than the table, and verify that the motion continues into a handle-reaching gesture instead of a pickup or turning-away action.
Real Answer: Open the closet/cabinet.
Why this demonstrates the capability: The question is only answerable by reading motion continuation, not by recognizing objects in a still frame. The decisive evidence is the evolving reach and body turn, which makes this a genuine temporal action-understanding problem rather than static scene recognition.

Pipeline Execution Instructions

To synthesize data for this capability, you must strictly follow a 3-phase pipeline. Do not hallucinate steps. Read the corresponding reference file for each phase sequentially:

Phase 1: Environment Exploration Read the exploration guidelines to discover raw knowledge seeds: references/EXPLORATION.md
Phase 2: Trajectory Selection Once Phase 1 is complete, read the selection criteria to evaluate the trajectory: references/SELECTION.md
Phase 3: Data Synthesis Once a trajectory passes Phase 2, read the synthesis instructions to generate the final data: references/SYNTHESIS.md

---name: action-and-motion-understanding-2description: Use this skill when the user wants questions about what someone did, what happens next, which way something moved, whether one movement is faster or slower, or when two clips look almost the same unless you watch the motion carefully. Trigger it for requests like 'make questions about tiny movement differences', 'ask what happened right after', 'which way did it go', 'who moved faster', or 'make the answer depend on the action sequence rather than the still image.'---# Skill: action-and-motion-understanding## 1. Capability Definition & Real Case* **Professional Definition**: The capability to infer what agents or objects are doing from temporally evolving evidence, including fine-grained action type, relative motion, motion direction, and immediate next-step dynamics that cannot be resolved from a single frame.* **Dimension Hierarchy**: Temporal-Spatial Understanding->Dynamic Event Perception->action-and-motion-understanding### Real Case**[Case 1]*** **Initial Environment**: A 16-second third-person kitchen clip. A person places a food box on the counter, reaches toward a cabinet, and slightly shifts their body orientation before touching the handle. There are no subtitles, and the background objects stay almost unchanged throughout the clip.* **Real Question**: What will the person do next?* **Real Trajectory**: Observe the hand trajectory after the box is placed, note the person reorients toward the cabinet rather than the table, and verify that the motion continues into a handle-reaching gesture instead of a pickup or turning-away action.* **Real Answer**: Open the closet/cabinet.* **Why this demonstrates the capability**: The question is only answerable by reading motion continuation, not by recognizing objects in a still frame. The decisive evidence is the evolving reach and body turn, which makes this a genuine temporal action-understanding problem rather than static scene recognition.---## Pipeline Execution InstructionsTo synthesize data for this capability, you must strictly follow a 3-phase pipeline. **Do not hallucinate steps.** Read the corresponding reference file for each phase sequentially:1. **Phase 1: Environment Exploration** Read the exploration guidelines to discover raw knowledge seeds: `references/EXPLORATION.md`2. **Phase 2: Trajectory Selection** Once Phase 1 is complete, read the selection criteria to evaluate the trajectory: `references/SELECTION.md`3. **Phase 3: Data Synthesis** Once a trajectory passes Phase 2, read the synthesis instructions to generate the final data: `references/SYNTHESIS.md`

Frequently asked questions