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product-demo-recording

Plan, capture, edit, and visually QA short product demo recordings for docs, releases, and integration walkthroughs. Use when recording or replacing browser/app videos such as n8n or Node-RED flows; not for general-purpose video production.

71

Quality

86%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

85%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 body is a well-structured, actionable instruction skill with a clear phased workflow, an explicit QA checklist with feedback loops, and clean progressive disclosure to real bundle files. It is strong throughout, with only minor conciseness trims and the inherent mix of executable commands versus qualitative guidance keeping actionability and conciseness at 4.

DimensionReasoningScore

Conciseness

The body is dense, imperative, and assumes Claude's competence about video/ffmpeg concepts, but a few bullets (e.g. the corrupt-frame remediation) run long and could be tightened, fitting "efficient; minor instances of over-explanation" rather than the maximally lean 5 anchor.

4 / 5

Actionability

Provides executable specifics — the qa-video.sh invocation, "H.264 High, yuv420p, constant 30 fps", "1440x810 or 1920x1080", "-threads 1" — but much of the capture/editing guidance is qualitative composition advice rather than runnable commands, matching the 4 anchor with minor gaps.

4 / 5

Workflow Clarity

Sequenced phases (frame → capture → record → edit → audio → review → ship) culminate in an explicit 6-point QA checklist run on the final file, plus a corrupt-frame feedback loop (re-extract → replace segment → re-encode with -threads 1), matching the 5 anchor's validation steps, feedback loops, and checklist.

5 / 5

Progressive Disclosure

SKILL.md is an overview that points via clearly signaled links to three real one-level-deep reference files (capture-macos.md, browser-workflows.md, infographic-style.md) and a real bundled script (qa-video.sh), with content appropriately split and easy to navigate per the 5 anchor.

5 / 5

Total

18

/

20

Passed

Description

87%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 cleanly answers both what and when with concrete actions, explicit trigger phrases, and a clear negative boundary that sets it apart from generic video skills. It is strong overall, with only minor gaps in trigger-term synonym coverage and action specificity.

Suggestions

Add common trigger synonyms such as "screencast", "screen recording", or "demo video" alongside "browser/app videos" to broaden natural-term coverage.

Consider naming one or two more concrete capabilities (e.g. encoding/output settings or narration handling) to push specificity toward comprehensive coverage.

DimensionReasoningScore

Specificity

Lists several concrete actions — "Plan, capture, edit, and visually QA" — but "plan" is slightly abstract and coverage does not enumerate every sub-task, fitting "several specific actions; minor gaps" rather than the fully comprehensive 5 anchor.

4 / 5

Completeness

Clearly states what ("Plan, capture, edit, and visually QA short product demo recordings") and an explicit when ("Use when recording or replacing browser/app videos…"), matching the 5 anchor that requires both with concrete trigger phrases.

5 / 5

Trigger Term Quality

"Use when recording or replacing browser/app videos such as n8n or Node-RED flows" gives good natural keyword coverage including product-name synonyms, but omits common variants like "screencast" or "screen recording", matching the 4 anchor.

4 / 5

Distinctiveness Conflict Risk

Narrows to product demo recordings for docs/releases/integration walkthroughs and explicitly excludes "general-purpose video production", giving a clear niche with minimal conflict risk per the 5 anchor.

5 / 5

Total

18

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
getlarge/themoltnet
Reviewed

Table of Contents

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