Results for “key-generation”

Configure API keys, test connectivity, and poll for async generation results on the muapi.ai platform.

Configure Hardware Security Modules (HSMs) using the PKCS#11 standard interface for key generation, signing, encryption, and key management with both physical HSMs and SoftHSM2 for development.

Secure Solana wallet generation using official Solana Labs libraries — Ed25519 keypairs, memory zeroization, vanity address generation, offline-only operation, and multi-language implementations (Rust, TypeScript, Bash).

Evaluate, design, and launch free tools for lead generation, SEO value, and brand awareness.

age file encryption reference — the modern, simple alternative to GPG. Covers key generation, X25519 encryption, SSH key support, passphrase mode, pipe patterns, SOPS integration, YubiKey plugins, and security considerations. By Filippo Valsorda.

age file encryption reference — the modern, simple alternative to GPG. Covers key generation, X25519 encryption, SSH key support, passphrase mode, pipe patterns, SOPS integration, YubiKey plugins, and security considerations. By Filippo Valsorda.

GPG (GNU Privacy Guard) encryption and signing reference. Covers key generation (Ed25519/RSA), export/import, keyservers, file encryption (symmetric + asymmetric), git commit signing, detached signatures, gpg-agent caching, SSH via GPG, and pass password manager.

Transforms vague UI ideas into polished, Stitch-optimized prompts by enhancing specificity, adding UI/UX keywords, injecting design system context, and structuring output for better generation results.

GPG (GNU Privacy Guard) encryption and signing reference. Covers key generation (Ed25519/RSA), export/import, keyservers, file encryption (symmetric + asymmetric), git commit signing, detached signatures, gpg-agent caching, SSH via GPG, and pass password manager.

Learn best practices for writing effective AI video generation prompts, covering shot types, camera movements, lighting, style keywords, and model-specific tips for Veo, Seedance, Wan, Grok, and others.

Generates AI images via Ideogram, Leonardo, or Flux using plugin scripts, or delivers an optimized prompt when no API key is configured. Requires explicit cost confirmation before each paid generation.

Implement Ed25519 digital signatures for document signing, code signing, and API authentication using Python.

Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.

Generate images using AI from OpenAI or Google Gemini, with support for textures, icons, sprites, and visual assets.

Automates Flutter code generation with build_runner, freezed, json_serializable, injectable, and auto_route, including setup, configuration, and command execution.

Generate typed SDK bindings (Pydantic v2 models, TypeScript types) from the Bloodbank JSON Schema tree at `bloodbank/schemas/bloodbank/v1/**` (Draft 2020-12). Uses `datamodel-code-generator` and `json-schema-to-typescript` — NOT the deprecated hand-rolled Holyfields generators. Use when generating event-contract bindings for a Bloodbank consumer, importing typed CloudEvents envelopes into another project, or scaffolding a `bloodbank-contracts` SDK package. Trigger keywords — "bloodbank SDK", "bloodbank contracts", "Pydantic from bloodbank schemas", "TypeScript types for bloodbank events", "bloodbank.v1.* types", "event contract bindings", "datamodel-code-generator", "json-schema-to-typescript", "regenerate SDK", "CloudEvents bindings". Do NOT use for schema authoring (edit `bloodbank/schemas/` directly per `docs/event-naming.md` §12), runtime envelope validation (use `BLOODBANK_HOOK_VALIDATE=1`), schema-tree consistency (`mise run smoketest:schemas`), or generic JSON Schema codegen unrelated to Bloodbank.

Generate consistent, auditable release notes from Conventional Commits, compute semantic version bumps, and enforce commit format linting.

Casting personas: rapid generation from diverse inputs, registry-based persistence and lifecycle, data-driven evolution, inter-agent sync. Not for UI walkthroughs (Echo) or user research (Field).

Test generation is repetitive but critical. Developers skip tests because writing edge cases is tedious. AI agents can generate tests quickly but often produce brittle, unrealistic tests that provide false confidence. Tests that mock internals, use fake data like "foo@example.com", or test implementation details break on every refactor.

Use this skill when the user requests to generate, create, or imagine videos. Supports structured prompts and reference image for guided generation.

Multi-channel personalized message generation with 3 tiers of personalization

Generate retrieval practice questions at varied difficulty levels for a topic or concept. Use when creating quiz starters, revision activities, or low-stakes testing materials.

Generates short AI videos from text or images across Runway, Kling, Sora, Pika, Seedance, Grok Imagine, and Veo, with provider-specific APIs and prompt guidance.

Generate images and videos with AIsa. Supports Gemini, Wan, and Seedream image generation plus Wan text-to-video and image-to-video models. One API key; the bundled client routes each model to the correct endpoint automatically. Use when: you need a neutral AIsa media-generation skill that spans multiple model families without changing credentials or request flow.

Generate 5–10 business idea candidates from a blank page or a founder's domain context — using pain mining, jobs-to-be-done, trend × capability mapping, constraint relaxation, adjacency search, and founder-market-fit prompts. Each candidate is a structured idea card (segment, JTBD, current alternative, why-now, distribution wedge, monetisation, "feels like"). Load when the user asks to generate business ideas, brainstorm startup ideas, find ideas to work on, says "what business should I start", "give me startup ideas", "I don't know what to build", "ideate ventures", "blank-page idea generation", "find me a startup idea", "explore business opportunities". Sub-skill of `venture-exploration`. Hard-bans "Uber for X" / "AI for X" with no specific JTBD, "everyone" segments, and idea cards missing any of the 7 required fields. Does NOT design or evaluate ideas generated — for that use `idea-evaluation`.

任意のジャンル・テーマで曲＋歌詞を制作する汎用作曲エンジン。曲先（メロディ淘汰型）でキャッチーなサビメロディを複数生成→人間が選別→変奏淘汰で確定→歌詞を載せる、ヒット曲プロセス準拠。作曲・作詞に特化。MiniMax music-2.6 主軸。ユーザーが「曲作って」「作曲して」「音楽作って」「歌作って」「オリジナル曲作って」「新しい曲作って」「武将で曲作って」「サイバー和で曲作って」と言った時、または /make-song を呼んだ時にトリガー。テーマ修飾（武将/サイバー和）は Phase 0 の [THEME] 選択で対応。

Search, explore, and run fal.ai generative AI models for image, video, audio, and 3D generation, including schema lookup, job submission, status polling, result retrieval, and file uploads.

Search, explore, and run fal.ai generative AI models for image, video, audio, and 3D generation, including queue management and file uploads.

Generate images, videos, audio, and more using fal.ai AI models, with support for text-to-image, image-to-video, text-to-speech, speech-to-text, image editing, upscaling, model search, workflow creation, and cost estimation.

Generates spoken audio clips from text for narration, voiceovers, IVR prompts, and accessibility reads, with support for single clips and batch processing.