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Fatih Kadir Akın

@import-252f10c83610ebca1a059c0b

prompts.chat 内容贡献者 f(导入署名记录)

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Secrets Management taste
Taste

Opinionated conventions for storing, injecting, rotating and auditing application secrets safely. 来源:https://prompts.chat/prompts/cmwaelkj30001jq088ukfunca

# Secrets Management taste of a security-minded platform engineer
- Never commit secrets to git, including in tests, examples or old branches; treat any secret that touched a repo as compromised and rotate it. Confidence: 1.00
- Run secret scanning (gitleaks, trufflehog or the platform's built-in scanner) as a pre-commit hook and in CI on every push. Confidence: 0.90
- Keep a committed `.env.example` with names and dummy values, and gitignore every real `.env` file. Confidence: 0.90
- Store production secrets in a dedicated manager such as Vault, AWS Secrets Manager, GCP Secret Manager or 1Password, never in wikis or chat. Confidence: 0.95
- Prefer short-lived, workload-issued credentials (OIDC federation, IAM roles, Vault dynamic secrets) over long-lived static keys. Confidence: 0.90
- Use OIDC from CI to cloud providers instead of storing cloud access keys as CI secrets. Confidence: 0.90
- Scope every credential to one service, one environment and the least privilege it needs. Confidence: 0.95
- Never share secrets between staging and production, so a leak in one cannot unlock the other. Confidence: 0.95
- Inject secrets at runtime through the platform (mounted files or environment variables) rather than baking them into images or build artifacts. Confidence: 0.90
- Prefer mounted secret files over environment variables for highly sensitive values, since env vars leak into crash dumps, child processes and debug pages. Confidence: 0.70
- Automate rotation on a schedule and design apps to reload credentials without a redeploy. Confidence: 0.80
- Support two valid versions of a secret during rotation so it can happen without downtime. Confidence: 0.80
- Redact secrets in logs, traces and error reports with explicit filters, and test that the redaction works. Confidence: 0.90
- Use envelope encryption with a KMS for application-level encryption keys and keep the key-encryption key out of the app. Confidence: 0.80
- Encrypt secrets that must live in git (for example GitOps manifests) with SOPS or Sealed Secrets, never as plain Kubernetes Secrets. Confidence: 0.85
- Audit-log every secret read and alert on unusual access patterns. Confidence: 0.75
- Maintain a written revoke-and-rotate runbook for each critical credential so a leak response takes minutes, not days. Confidence: 0.85
- Give humans access through SSO and time-limited elevation instead of shared admin passwords. Confidence: 0.90
- Validate required secrets at startup and fail fast with a clear message that names the missing key but never prints its value. Confidence: 0.85
- Do not roll your own encryption or token formats; use well-reviewed libraries and the provider's primitives. Confidence: 0.95
SecurityDevOpsInfrastructure+2
F@import-252f10c83610ebca1a059c0b
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AAA Game-Engine 3D Environment: Photoreal Real-Time-Render Scene Template with 4 Fantasy Examples (16:9 4K)
Image
AAA Game-Engine 3D Environment: Photoreal Real-Time-Render Scene Template with 4 Fantasy Examples (16:9 4K)

A reusable 16:9 4K template for AAA game-engine environment shots: a fixed photoreal real-time-render style block (indirect illumination, varied roughness, contact shadows, depth separation, clean full-frame scene) plus one slot for your scene. Comes with four ready example scenes: a valley of glowing flowers under two moons, a sunken coral-wrapped marble palace, a misty giant-mushroom swamp at night and a colossal world tree above a sunrise cloud sea. Great for wallpapers and concept art. 来源:https://prompts.chat/prompts/cmwaiwzcp0001l808cnihsqpe

Aspect ratio 16:9, 4K. Generate a photorealistic AAA image with a high-end real-time engine look. Emphasize indirect illumination, varied roughness, contact shadows and depth separation. Show only the clean rendered scene in full frame. Scene: [DESCRIBE YOUR SCENE]. All identities and designs are original.

Example scenes (replace [DESCRIBE YOUR SCENE] with one of these):

1. The Valley of Flowers Beneath Two Moons: A rose-gold moon and a violet moon rise over a vast valley of glowing magenta and turquoise flowers, as a white crystal river winds toward floating mountains wrapped in soft pink mist.

2. The Sunken Palace: Rippling sunlight falls through deep turquoise water onto a sunken marble palace wrapped in coral, as small fish drift past its broken columns.

3. The Giant Mushroom Swamp: Soft teal light from glowing giant mushrooms reflects on a misty swamp at night, where a wooden boardwalk winds between twisted roots.

4. The World Tree Above the Cloud Sea: A colossal world tree with glowing cyan veins rises above a sea of peach and lavender sunrise clouds, as waterfalls of light pour from its branches and tiny cities shine along its roots.
Image GenerationTrendingCinematic+8
F@import-252f10c83610ebca1a059c0b
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Video
The Last Parking Space: Painterly 3D Comedy Short Where a Tiny Grandma Steals the Spot (20s, 7-Shot Video)

A complete text-only prompt for a 20-second wordless comedy short in a painterly stylized 3D look with a hand-painted 2D finish: two rival drivers race for the last parking space on a sunny autumn street, block each other nose to nose, and a tiny calm grandma on a mint-green scooter zips in and takes it. It locks characters, cars, scale and continuity, then lays out 7 timed shots with lenses, camera moves, cartoon physics, golden-hour lighting and color grade. 来源:https://prompts.chat/prompts/cmwaiyws60001lc08q3pf9dn7

==== SCENE CONTEXT ====
A 20-second comedy short. One single continuous story.
A sunny autumn afternoon in an old city neighborhood.
The street is FULL of parked cars. Every spot is taken except ONE.
Two rival drivers race for that LAST parking space.
Just before they reach it, a tiny grandma on a scooter zips in and steals it.
Pure visual comedy. NO dialogue.

==== ACTIVE REFERENCES ====
NONE. Text-only generation.
The ART STYLE is fully described in STYLE below.
ALL characters, cars and the street are defined below.
KEEP every design IDENTICAL from first frame to last.

==== CHARACTERS ====
DRIVER A — "THE SUIT"
Tall, lanky middle-aged man, long narrow face
Thin black mustache, slicked-back hair, heavy eyebrows
Grey suit, loose red tie
Drives a vintage TEAL sedan with rounded fenders and chrome bumpers
Personality: uptight, impatient, furious
DRIVER B — "THE SHADES"

Young woman, big curly dark hair
Oversized round black sunglasses, mustard-yellow jacket
Drives a small boxy ORANGE-RED hatchback
Personality: cool, competitive, smug
THE GRANDMA

TINY, round, very short old woman
White hair in a neat bun, round glasses

Plum-purple coat, cream scarf
Cream open-face helmet with small goggles pushed up
Rides a small MINT-GREEN vintage scooter with a wicker basket of oranges
Personality: calm, sweet-looking, secretly savage
==== LOCATION MAP ====
Two-lane city street lined with brick and brownstone buildings.
Utility poles and street lamps along the sidewalk.
Autumn trees with orange and red leaves.
Hazy city skyline in the far background, glowing in the sun.
The RIGHT curb is packed bumper to bumper with parked cars (brown van, dusty-blue car, cream station wagon, green pickup).
ONE LAST EMPTY SPACE in that row, center of the street. Every other space is FULL.
A blue square parking sign on a pole beside the space shows a big white letter "P".
Driver A comes from FRAME LEFT in the near lane.
Driver B comes from FRAME RIGHT in the far lane, oncoming.
Both converge on the same last space.
The grandma comes from BEHIND Driver A, along the curb.

==== SCALE LOCK ====
The cars are normal city car size.
The grandma is TINY. Her head barely reaches a car door handle.
Her scooter is SMALL, about half a car's length.
The last space fits ONE car exactly.

==== CONTINUITY ====
Same street, same time of day, same sun direction in every shot.
Car colors NEVER change: teal sedan, orange-red hatchback, mint-green scooter.
Wardrobe NEVER changes.
The parked cars never move.
The last space stays empty until the grandma takes it.

==== FIRST FRAME / BLOCKING ====
Wide, slightly elevated view down the sunny autumn street.
A full row of parked cars along the right curb with ONE gap at frame center.
The "P" sign stands beside the gap.
Leaves drift down slowly.
Both cars are small in the distance: teal sedan far left, orange-red hatchback far right.
The grandma is not visible yet.

==== FORMAT MODE ====
16:9 horizontal.
HARD CUTS at: 0:03 / 0:05 / 0:07 / 0:12 / 0:15 / 0:18

==== OPTICS ====
SHOT 1 (0:00–0:03): 35mm wide establishing
SHOT 2 (0:03–0:05): 50mm close-up through the windshield
SHOT 3 (0:05–0:07): 50mm close-up through the windshield
SHOT 4 (0:07–0:12): 24mm low-angle wide, near street level
SHOT 5 (0:12–0:15): 28mm wide on the space
SHOT 6 (0:15–0:18): 85mm close-up with snap zoom
SHOT 7 (0:18–0:20): 35mm two-shot

==== CAMERA ====
SHOT 1: slow push-in toward the last empty space.
SHOT 2: LOCKED. Calm tension.
SHOT 3: LOCKED. Calm tension.
SHOT 4: FAST low-angle tracking alongside the cars, whip pan between them.
SHOT 5: LOCKED wide so the steal reads clearly.
SHOT 6: SNAP ZOOM into the grandma's face.
SHOT 7: LOCKED. Hold for the reaction.

==== ACTION ====
SHOT 1 (0:00–0:03)
Sunny autumn street. Leaves falling.
A full row of parked cars. ONE gap left, the "P" sign beside it.
Both cars approach from opposite ends.
HARD CUT.

SHOT 2 (0:03–0:05)
Driver A behind the wheel of the teal sedan.
His eyes lock on the last space. Eyebrows slam down.
He grips the wheel tighter.
HARD CUT.

SHOT 3 (0:05–0:07)
Driver B behind the wheel of the orange-red hatchback.
She slowly lowers her sunglasses. She glares back.
A tiny smirk.
HARD CUT.

SHOT 4 (0:07–0:12)
BOTH FLOOR IT.
The cars race toward the last space from opposite directions.
Driver A swerves around a cyclist.
Driver B cuts across the lane.
Leaf piles EXPLODE as they tear through.
Both cars brake hard and swing toward the space at the same time.
Bumpers miss each other by an inch.
HARD CUT.

SHOT 5 (0:12–0:15)
Both cars screech to a stop, nose to nose, at the mouth of the space.
They are blocking each other.
ZIP. The tiny grandma on the mint-green scooter shoots between them.
She glides perfectly into the last space.
One orange bounces out of her basket.
HARD CUT.

SHOT 6 (0:15–0:18)
SNAP ZOOM on the grandma.
She pushes her goggles up calmly.
She turns to camera and gives ONE slow, smug wink.
HARD CUT.

SHOT 7 (0:18–0:20)
Two-shot of both drivers through their windshields.
Frozen. Jaws dropped.
A single orange leaf lands on Driver A's windshield.
Hold.

==== PERFORMANCE ====
Exaggerated, readable cartoon acting.
Big, clear facial expressions: glare, smirk, shock.
Snappy comedic timing with pauses before each punch.
The grandma stays perfectly calm the whole time. That IS the joke.

==== SURFACE DETAIL ====
Soft painted brick and brownstone walls, simplified.
Brushy autumn foliage.
Car bodies painted with soft gradients and glowing rim highlights.
Painterly finish on every surface, NOT photoreal.

==== PHYSICS ====
Cartoon physics with real weight.
Cars squash slightly when braking hard and stretch when accelerating.
Leaves swirl and scatter in the cars' wake.
Tires leave short skid marks.
The scooter is light and nimble with a tiny bounce.

==== LIGHTING ====
Warm golden-hour sun, low in the sky, behind the buildings.
LONG soft shadows across the street.
Strong warm rim light glowing on every edge facing the sun.
Cool blue-violet shadows on the shaded sides.
Sun-washed haze between the buildings.
Leaves glow orange where backlit.

==== COLOR GRADE ====
Warm oranges, peach and rust reds against cool blue-violet shadows.
Soft hazy peach-yellow sky glow.
Rich but soft saturation.

==== STYLE ====
PAINTERLY STYLIZED 3D with a HAND-PAINTED 2D FINISH.
Looks like a modern animated feature film painted by hand.
Soft painted gradients. Simple, clean graphic shapes. Minimal fine texture.
Strong WARM vs COOL contrast: orange sunlit faces and walls, blue-violet shadows.
Glowing warm rim light outlining characters and cars.
Backgrounds simplified and hazy, with soft atmospheric depth.
City skyline as soft painted silhouettes in sunlit haze.
Characters are CARICATURED: elongated bodies, long thin limbs, big expressive faces.
Soft painted shading, NOT plastic, NOT glossy CG, NOT photoreal.
Cars are normal real-world cars. NO faces on the cars.
NO text overlays.
NO subtitles.
NO watermark.
NO logos.

==== OUTPUT SETTINGS ====
16:9.
20 seconds.
7 shots with HARD CUTS at the listed timestamps.
Clean, smooth animation. No flicker.

==== FINAL POSITIVE LOCKS ====
Painterly stylized 3D with a hand-painted 2D finish in EVERY frame.
Golden-hour warm light, blue-violet shadows, glowing rim light.
A FULL row of parked cars. ONE last space. ONE winner: the grandma.
Teal sedan, orange-red hatchback and mint-green scooter stay IDENTICAL.
The grandma is TINY and calm.
The "P" sign reads exactly "P".
Video GenerationTrendingComedy+8
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Video
Exploded-View Product Assembly Animation: Minimal Glowing Poster to Crash-Zoom Layer Build (Image-to-Video Workflow)

A two-step workflow for slick exploded-view product animations. Step 1 makes an epic minimalist poster of a fictional matte-white walkman-style cassette player with a soft neon glow on a dark background; Step 2 uses that image as the reference for a sequential layer animation where each part of the product snaps together in exploded view while the camera crash-zooms to every new piece, ending on the fully assembled product. Swap in your own product name and design to reuse it. 来源:https://prompts.chat/prompts/cmwaj021x0005lc08ntxjbc73

Step 1 — Image (Nano Banana 2.1): generate the product poster

An epic minimalist poster for a walkman product called Explo, all in matte white style colors, thin font, the product has a slight neon glow around it, dark blank background.

Step 2 — Video (Gemini Omni 1.2 Flash): use the Step 1 image as the reference

Using the attached reference photo, create a sequential layer style animation where each section of the product pieces together smoothly with an Exploded View. The camera crash zooms and moves to focus on each sequential element as it is added. The final shot reveals the full product.
Video GenerationImage To VideoImage Generation+7
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