Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/chenxi-li24-detect-bottles
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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What's inside
- Skill name
detect-bottles- Description
- None
- License
- MIT
- Instructions
- 6 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- missing YAML frontmatter
- name: missing
- description: missing
Files (5)
- SKILL.md
- manifest.yaml
- input.json · schemas/
- result.json · schemas/
- worker.py · src/
SKILL.md (first lines)
# Detect Bottles Skill Read-only skill for querying the Vision Service for currently visible, grasp-relevant bottle targets from the XVisio RGB-D camera. It may return stable IDs, labels, confidence, frame references, pose summaries, and rejection reasons. It must not command the robot, gripper, CAN bus, active viewpoint motion, or Startouch SDK. Use this skill when the caller needs to know which bottles are visible or selectable. If the Vision Service, XVisio camera, or pinned vision models are unavailable, return `skill_unavailable` or `target_lost` instead of inventing targets.
From Chenxi-Li24/UIEAclub_ThirdHand_VLA, MIT.
More from Chenxi-Li24/UIEAclub_ThirdHand_VLA
- 0.565score
vision-supervise-execution
Chenxi-Li24
Use when an approved physical task needs independent visual checks for target visibility, alignment, grasp progress, or placement success.
SkillBFreshness: B★ 4Claude Code +9 - 0.565score
policy-diffusion-policy
Chenxi-Li24
Use when an approved task needs a diffusion-policy model to propose bounded action candidates from current observations.
SkillBFreshness: B★ 4Claude Code +9 - 0.565score
policy-vla
Chenxi-Li24
Use when an approved task needs a VLA model to propose versioned action candidates from current visual and language context.
SkillBFreshness: B★ 4Claude Code +9 - 0.565score
vision-describe-scene
Chenxi-Li24
Use when a task needs a structured, read-only summary of the current RGB-D scene before selecting an object or planning an action.
SkillBFreshness: B★ 4Claude Code +9 - 0.565score
vision-inspect-scene
Chenxi-Li24
Use when the ThirdHand controller needs a fresh, read-only natural-language observation from the existing XVisio RGB stream.
SkillBFreshness: B★ 4Claude Code +9 - 0.565score
policy-act
Chenxi-Li24
Use when an approved task needs an ACT checkpoint to propose bounded, versioned action chunks from current observations.
SkillBFreshness: B★ 4Claude Code +9 - 0.564score
manipulation-pick-and-place
Chenxi-Li24
Use when the user requests a supervised pick of a stable target and placement at an approved destination.
SkillBFreshness: B★ 4Claude Code +9 - 0.564score
vision-detect-objects
Chenxi-Li24
Use when a task needs object classes, labels, confidence, and stable target references from the current RGB-D scene.
SkillBFreshness: B★ 4Claude Code +9 - 0.304score
select-target
Chenxi-Li24
No description from the publisher yet.
SkillBFreshness: B★ 4Claude Code +9 - 0.304score
gripper-control
Chenxi-Li24
No description from the publisher yet.
SkillBFreshness: B★ 4Claude Code +9
Signals
- Stars
- 4
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Sep 20, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Chenxi-Li24
- 0.565score
vision-supervise-execution
Chenxi-Li24
Use when an approved physical task needs independent visual checks for target visibility, alignment, grasp progress, or placement success.
SkillBFreshness: B★ 4Claude Code +9 - 0.565score
policy-act
Chenxi-Li24
Use when an approved task needs an ACT checkpoint to propose bounded, versioned action chunks from current observations.
SkillBFreshness: B★ 4Claude Code +9 - 0.565score
policy-diffusion-policy
Chenxi-Li24
Use when an approved task needs a diffusion-policy model to propose bounded action candidates from current observations.
SkillBFreshness: B★ 4Claude Code +9 - 0.565score
policy-vla
Chenxi-Li24
Use when an approved task needs a VLA model to propose versioned action candidates from current visual and language context.
SkillBFreshness: B★ 4Claude Code +9 - 0.565score
vision-describe-scene
Chenxi-Li24
Use when a task needs a structured, read-only summary of the current RGB-D scene before selecting an object or planning an action.
SkillBFreshness: B★ 4Claude Code +9 - 0.565score
vision-inspect-scene
Chenxi-Li24
Use when the ThirdHand controller needs a fresh, read-only natural-language observation from the existing XVisio RGB stream.
SkillBFreshness: B★ 4Claude Code +9
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Cite this page
detect-bottles skill. Agent Mart. https://agentmart.dev/skills/chenxi-li24-detect-bottles (last updated 2026-10-24)