servo-tracking
Skill552 starsChanged 8 months agoApache-2.0View on GitHub
Use ONLY to follow/track/watch a movable physical OBJECT vision can recognize (cup, bottle, phone, hand, person, pen, book, remote, toy, keys, pet, a specific face). NEVER use for furniture or fixed locations (desk, table, wall, floor, ceiling, door, window, workspace, room) — those are directions; use servo-control /servo/aim. NEVER use for direction words (left, right, up, down, center). If the user combines a direction AND an object ("look at the desk and follow the cup", "point at the table and track the phone"), fire TWO markers in order — servo-control /servo/aim first, then /servo/track here. The verb "look at" is ambiguous — if what follows is furniture/location, route to servo-control instead.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- autonomous-ai/lampOSword for word, first seen Oct 15, 2026
- autonomous-ai/autonomous-osword for word, first seen Mar 30, 2026
Other versions2 projects use a version of this.
Word for word · 2
- autonomous-ai/autonomous-os★ 552100% same
- autonomous-ai/lampOS★ 552100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository34 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .cursor/rules/architecture.mdcCursor rule
- .cursor/rules/docs-on-code-change.mdcCursor rule
- .cursor/rules/multi-ide.mdcCursor rule
- .cursor/rules/testing.mdcCursor rule
- agent-managementSkill
- audioSkill
- cameraSkill
- claude-buddySkill
- computer-useSkill
- connectorsSkill
- displaySkill
- emotionSkill
- environmentSkill
- face-enrollSkill
- faqSkill
- guardSkill
- habitSkill
- harness-useSkill
- input-branchingSkill
- led-controlSkill
- moodSkill
- musicSkill
- music-suggestionSkill
- sceneSkill
- sensingSkill
- sensing-trackSkill
- servo-controlSkill
- skill-creatorSkill
- speaker-recognizerSkill
- user-emotion-detectionSkill
- voiceSkill
- wellbeingSkill
The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 7 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 60
Prefer a list of 2-4 candidate labels in English.
- Distinctive: line 75
If the object is not found: "I can't see a {target} right now.
- Distinctive: line 76
If tracking stops unexpectedly: "I lost the {target}.
- Distinctive: line 77
If servo is not available: "Servo is not available right now."
- Distinctive: line 80
Only one object can be tracked at a time.
- Distinctive: line 82
When tracking stops, the servo holds its last position (no snap back to idle).
- Distinctive: line 83
Do NOT use this for emotional reactions — use the Emotion skill instead.
- Very specific: line 84
Prefer target as a list of 2-4 English synonyms for better first-try detection.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Vision Tracking
Quick Start
Tracks and follows any object by name. YOLOWorld detects the object in the camera frame, TrackerVit follows it in real-time with servo movement.
Workflow
- User names an object to track.
- If the user also hints at a direction ("look at desk and follow cup", "point at the table and watch the phone"), fire
/servo/aimFIRST so the camera is pointing at the right region before YOLO detection runs. Then fire/servo/track. The aim should complete in ~2s before the track call takes over. - Prefix reply with
[HW:/servo/track:{"target":["<label1>","<label2>"]}]— the device detects and follows.targetaccepts a list of candidate labels. Pass 2-4 synonyms/variants to maximise the chance YOLOWorld finds the object on the first try.- A single string also works (
{"target":"cup"}) for backward compatibility, but the list form is preferred when the object could reasonably have multiple names.
- To stop, prefix with
[HW:/servo/track/stop:{}].
Examples
Input: "Look at the desk and follow the cup"
Output: [HW:/servo/aim:{"direction":"desk"}][HW:/servo/track:{"target":["cup","mug","coffee cup"]}] Looking at the desk and locking onto the cup.
Input: "Point at the table and track my phone"
Output: [HW:/servo/aim:{"direction":"desk"}][HW:/servo/track:{"target":["phone","smartphone","mobile phone"]}] Aimed at the table, tracking your phone.
Input: "Follow the cup"
Output: [HW:/servo/track:{"target":["cup","mug","coffee cup"]}] OK, following the cup!
Input: "Look at the bottle"
Output: [HW:/servo/track:{"target":["bottle","water bottle","plastic bottle"]}] Watching the bottle.
Input: "Track that person"
Output: [HW:/servo/track:{"target":["person","man","woman"]}] Following them now.
Input: "Watch my phone"
Output: [HW:/servo/track:{"target":["phone","smartphone","mobile phone"]}] Got it, tracking your phone.
Input: "Follow the teddy bear"
Output: [HW:/servo/track:{"target":["teddy bear","stuffed animal","plush toy"]}] Tracking the teddy bear!
Input: "Stop following" / "Stop tracking"
Output: [HW:/servo/track/stop:{}] Stopped tracking.
Input: "What can you track?" Output: I can track most common objects — cups, bottles, phones, laptops, books, people, bags, and more. Just tell me what to follow!
How to Control Tracking
No exec/curl needed. Inline markers at start of reply:
[HW:/servo/track:{"target":["cup","mug","coffee cup"]}] Following the cup.
[HW:/servo/track:{"target":["person"]}] Tracking you now.
[HW:/servo/track/stop:{}] Stopped tracking.Target names
Prefer a list of 2-4 candidate labels in English. YOLOWorld evaluates all candidates and picks the highest-confidence detection across the set — synonyms increase the chance of a successful first-try detection when the user's wording doesn't exactly match COCO/training vocabulary.
Common objects: person, cup, bottle, glass, phone, laptop, keyboard, mouse, book, pen, notebook, bag, chair, monitor, remote control, plate, bowl, plant, vase, clock, lamp, speaker, headphones, watch, glasses, hat, shoe, toy, ball, teddy bear.
Any label works (open-vocabulary detection). Don't include too many unrelated items in the list — that risks matching a nearby but wrong object.
How it works internally
- Camera captures current frame
- YOLOWorld API evaluates all candidate labels (~1-2s)
- Highest-confidence detection becomes the initial bbox
- TrackerVit locks on and follows in a move-then-freeze loop (~7 FPS)
- Servo base_yaw + base_pitch nudges to keep object centered
- Auto-stops when object is lost, out of range, or after 5 minutes
Error Handling
- If the object is not found: "I can't see a {target} right now. Try pointing me toward it, or try a different name."
- If tracking stops unexpectedly: "I lost the {target}. Want me to try again?"
- If servo is not available: "Servo is not available right now."
Rules
- Only one object can be tracked at a time. Starting a new track stops the previous one.
- Tracking auto-stops when the object leaves the frame, gets occluded, or after 5 minutes.
- When tracking stops, the servo holds its last position (no snap back to idle).
- Do NOT use this for emotional reactions — use the Emotion skill instead.
- Prefer
targetas a list of 2-4 English synonyms for better first-try detection. Avoid packing unrelated labels into the list.
Does it work?
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

