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panel-image

Deep Image panel knowledge: the panel is ThreeDeeRender's ImageMode SceneExtension, WorkerImageDecoder pipeline, camera-model projection (pinhole/fisheye), and annotation overlays.

Quality

67%

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tessl review fix ./.github/skills/panel-image/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

61%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is a well-organized, lean orientation to the Image panel's architecture and file layout, but it offers no executable code or Claude-actionable workflow, keeping actionability and workflow clarity at 3. Adding concrete entry-point examples or an edit/extend procedure would lift those dimensions.

Suggestions

Add a small executable snippet showing the key entry point (e.g., how ImageMode registers or how to invoke WorkerImageDecoder) so guidance is copy-paste ready.

Convert the descriptive decode pipeline into a Claude-actionable procedure with an explicit validation/checkpoint step (e.g., confirm the ImageBitmap decoded before applying the texture).

Deduplicate the 'Core Components' table and 'Key Files' list into a single source of truth to tighten conciseness and organization.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude knows THREE.js/Comlink, with no concept fluff; the only slack is minor redundancy between the 'Core Components' table and the 'Key Files' list, fitting anchor 4 rather than a clean 5.

4 / 5

Actionability

It gives concrete file paths and a decode pipeline, but provides no executable code or commands — it is an orientation map rather than a procedure, matching anchor 3.

3 / 5

Workflow Clarity

The 5-step Image Decoding Pipeline is a clear sequence, but it describes the system's runtime behavior rather than a Claude-executable workflow with validation checkpoints, so anchor 3 applies.

3 / 5

Progressive Disclosure

No bundle files exist and the body is self-contained and well-sectioned (~65 lines); structure is good with only minor overlap between sections, fitting anchor 4 rather than 5.

4 / 5

Total

14

/

20

Passed

Description

57%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and clearly niched, but it reads as a knowledge inventory rather than a capability statement and omits any 'Use when...' trigger guidance, capping completeness at 3. Adding an explicit trigger clause would raise the score.

Suggestions

Add an explicit 'Use when...' clause naming natural user triggers (e.g., 'Use when working with the Image panel, 2D camera projections, or image annotation overlays in ThreeDeeRender').

Reframe the inventory as actions Claude performs (e.g., 'Renders, decodes, and overlays...') so it describes capabilities, not just what the panel is.

Include common synonyms and file/concept extensions users actually say (e.g., 'image mode', '2D panel', 'fisheye/pinhole camera') to broaden trigger coverage.

DimensionReasoningScore

Specificity

Names the Image panel domain and four concrete components (ImageMode SceneExtension, WorkerImageDecoder, camera-model projection, annotation overlays), but uses no action verbs — it is a knowledge inventory ('the panel is...'), not a list of actions, so it stops at anchor 3 rather than 4.

3 / 5

Completeness

A clear 'what' is present (the listed knowledge areas), but there is no 'Use when...' trigger clause, which per the rubric caps completeness at 3 — anchor 3 fits exactly.

3 / 5

Trigger Term Quality

'Image panel' is a natural user phrase, but the surrounding terms ('ImageMode SceneExtension', 'WorkerImageDecoder pipeline', 'camera-model projection') are internal jargon and common synonyms are missing, fitting anchor 3.

3 / 5

Distinctiveness Conflict Risk

The description targets a highly specific internal niche (ThreeDeeRender's ImageMode), giving it distinct triggers and minimal overlap with other skills — anchor 5.

5 / 5

Total

14

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

lichtblick-suite/lichtblick

Path

.github/skills/panel-image/SKILL.md

Reviewed

Table of Contents

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