Dhanvanthiri
Dhanvanthiri ecommerce
Install / Use
npx skills add vigneshsinna/DhanvanthiriInstalls into whichever agent you are using.
Amazon Q Rules
Amazon Q Developer rules
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of Dhanvanthiri
Dhanvanthiri scores 53/100 on our quality scale, 4236th of 4,611 Development & Engineering skills we index.
Its Amazon Q Rules is 5.5 KB long, well organised into 19 sections with 2 code examples: a solid amount of guidance for an agent.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- Our last check on 2026-09-03 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-10-28. Automated pattern scan on 2026-10-28. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
Dhanvanthiri compared with similar skills
All 4 of these similar skills score higher than Dhanvanthiri; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| Dhanvanthiri (this skill)by vigneshsinna | 53 | 0 | — | Amazon Q Rules |
| taste-skillby Leonxlnx | 100 | 110.6k | 1d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 69.8k | today | CLAUDE.md |
Frequently asked questions
- How do I install Dhanvanthiri?
- Run
npx skills add vigneshsinna/Dhanvanthiri. The install tabs above show the steps for each supported agent. - Which AI agents does Dhanvanthiri work with?
- It is written for Amazon Q, as a Amazon Q Rules file. Other agents that read the same format can often use it too.
- Is Dhanvanthiri safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is Dhanvanthiri still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHubPrompting best practices (Sora)
Contents
- Mindset & tradeoffs
- API-controlled params
- Structure
- Specificity
- Style & visual cues
- Camera & composition
- Motion & timing
- Lighting & palette
- Character continuity
- Multi-shot prompts
- Ultra-detailed briefs
- Image input
- Constraints & invariants
- Text, dialogue & audio
- Avoiding artifacts
- Remixing
- Iterate deliberately
Mindset & tradeoffs
- Treat the prompt like a cinematography brief, not a contract.
- The same prompt can yield different results; rerun for variants.
- Short prompts give more creative freedom; longer prompts give more control.
- Shorter clips tend to follow instructions better; consider stitching two 4s clips instead of a single 8s if precision matters.
API-controlled params
- Model, size, and seconds are controlled by API params, not prose.
- Put desired duration in the
secondsparam; the prompt cannot make a clip longer.
Structure
- Use short labeled lines; omit sections that do not matter.
- Keep one main subject and one main action.
- Put timing in beats or counts if it matters.
- If you prefer a prose-first template, use:
<Prose scene description in plain language. Describe subject, setting, time of day, and key visual details.>
Cinematography:
Camera shot: <framing + angle>
Mood: <tone>
Actions:
- <clear action beat>
- <clear action beat>
Dialogue:
<short lines if needed>
Specificity
- Name the subject and materials (metal, fabric, glass).
- Use camera language (lens, angle, shot type) for stability.
- Describe the environment with time of day and atmosphere.
Style & visual cues
- Set style early (e.g., "1970s film", "IMAX-scale", "16mm black-and-white").
- Use visible nouns and verbs, not vague adjectives.
- Weak: "A beautiful street at night."
- Strong: "Wet asphalt, zebra crosswalk, neon signs reflecting in puddles."
Camera & composition
- Prefer one camera move: dolly, orbit, lateral slide, or locked-off.
- Straight-on framing is best for UI and text.
- For close-ups, use longer lenses (85mm+); for wide scenes, 24-35mm.
- Depth of field is a strong lever: shallow for subject isolation, deep for context.
- Example framings: wide establishing, medium close-up, aerial wide, low angle.
- Example camera motions: slow tilt, gentle handheld drift, smooth lateral slide.
Motion & timing
- Use short beats: "0-2s", "2-4s", "4-6s".
- Keep actions sequential, not simultaneous.
- For 4s clips, limit to 1-2 beats.
- Describe actions as counts or steps when possible (e.g., "takes four steps, pauses, turns in the final second").
Lighting & palette
- Describe light quality and direction (soft window light, hard rim, backlight).
- Name 3-5 palette anchors to stabilize color across shots.
- If continuity matters, keep lighting logic consistent across clips.
Character continuity
- Keep character descriptors consistent across shots; reuse phrasing.
- Avoid mixing competing traits that can shift identity or pose.
Multi-shot prompts
- You can describe multiple shots in one prompt, but keep each shot block distinct.
- For each shot, specify one camera setup, one action, one lighting recipe.
- Treat each shot as a creative unit you can later edit or stitch.
Ultra-detailed briefs
- Use when you need a specific, filmic look or strict continuity.
- Call out format/look, lensing/filters, grade/palette, lighting direction, texture, and sound.
- If needed, include a short shot list with timing beats.
Image input
- Use an input image to lock composition, character design, or set dressing.
- The input image should match the target size and be jpg/png/webp.
- The image anchors the first frame; the prompt describes what happens next.
- If you lack a reference, generate one first and pass it as
input_reference.
Constraints & invariants
- State what must not change: "same shot", "same framing", "keep background".
- Repeat invariants in every remix to reduce drift.
Text, dialogue & audio
- Keep text short and specific; quote exact strings.
- Specify placement and avoid motion blur.
- For dialogue, use a dedicated block and keep lines short.
- Label speakers consistently for multi-character scenes.
- If silent, you can still add a small ambient sound cue to set rhythm.
- Sora can generate audio; include an
Audio:line and a short dialogue block when needed. - As a rule of thumb, 4s clips fit 1-2 short lines; 8s clips can handle a few more.
Example:
Audio: soft ambient café noise, clear warm voiceover
Dialogue:
<dialogue>
- Speaker: "Let's get started."
</dialogue>
Avoiding artifacts
- Avoid multiple actions in 4-8 seconds.
- Keep camera motion smooth and limited.
- Add explicit negatives when needed: "avoid flicker", "avoid jitter", "no fast motion".
Remixing
- Change one thing at a time: palette, lighting, or action.
- Keep camera and subject consistent unless the change requests otherwise.
- If a shot misfires, simplify: freeze the camera, reduce action, clear background, then add complexity back in.
Iterate deliberately
- Start simple, then add one constraint per iteration.
- If results look chaotic, reduce motion and simplify the scene.
- When a result is close, pin it as a reference and describe only the tweak.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
