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cccskills

「proven」の検索結果

794 件 ・ 関連度順

概要と使いどころ

Think and work like an expert Bioinformatics Engineer. Use when a task calls for Bioinformatics Engineer judgment. Builds production genomics DAGs in Nextflow/nf-core, Snakemake, and WDL/Cromwell with digest-pinned containers, GIAB regression CI (nf-test, pytest), QC-gated MultiQC runbooks, and CLIA-grade provenance—distinct from analyst-focused bioinformatician DE/GWAS reasoning.

日本語の概要は準備中です。原文の説明を表示しています。

K-Dense-AI/scientific-agents2052026年10月3日 更新

Think and work like an expert Algorithms Researcher. Use when a task calls for Algorithms Researcher judgment. Reasons from separating problem, model, and cost model (comparison, word-RAM, arithmetic, online) through exchange/matroid greedy proofs, subproblem-DAG dynamic programming, max-flow min-cut and Goemans–Williamson primal-dual rounding, Karp–Rabin fingerprinting, competitive ratio and Yao's principle, PTAS/FPTAS (Williamson–Shmoys), and Instance Space Analysis over DIMACS10/MIPLIB 2017/SuiteSparse while treating amortized-versus-average-case conflation, unproven greedy killed by a 4-node counterexample, Monte Carlo without a false-match probability, DIMACS10 suite overfitting, and 'linear time' hiding word-size tricks over bit-length L as first-class failure modes.

日本語の概要は準備中です。原文の説明を表示しています。

K-Dense-AI/scientific-agents2052026年10月3日 更新

Research and evaluate u.s. fiscal data with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for u.s. fiscal data findings or verification.

日本語の概要は準備中です。原文の説明を表示しています。

sandbaseai/sandbase-skills2042026年9月26日 更新

Generate content ideas backed by real audience demand data from Reddit questions, YouTube search gaps, Twitter discussions, and web search trends. Identifies proven topics, underserved questions, and content formats that outperform in your niche.

日本語の概要は準備中です。原文の説明を表示しています。

sandbaseai/sandbase-skills2042026年9月26日 更新

Research and evaluate seo competitor analysis with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for seo competitor analysis findings or verification.

日本語の概要は準備中です。原文の説明を表示しています。

sandbaseai/sandbase-skills2042026年9月26日 更新

Research and evaluate hacker news front page with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for hacker news front page findings or verification.

日本語の概要は準備中です。原文の説明を表示しています。

sandbaseai/sandbase-skills2042026年9月26日 更新

Research and evaluate microsoft code reference with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for microsoft code reference findings or verification.

日本語の概要は準備中です。原文の説明を表示しています。

sandbaseai/sandbase-skills2042026年9月26日 更新

Research and evaluate microsoft docs with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for microsoft docs findings or verification.

日本語の概要は準備中です。原文の説明を表示しています。

sandbaseai/sandbase-skills2042026年9月26日 更新

Find and compare installable Agent Skills from public repositories, then verify provenance, compatibility, and installation commands. Use when the user asks to discover a Skill for a task; do not install anything unless explicitly requested.

日本語の概要は準備中です。原文の説明を表示しています。

sandbaseai/sandbase-skills2042026年9月26日 更新

Research and evaluate database lookup with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for database lookup findings or verification.

日本語の概要は準備中です。原文の説明を表示しています。

sandbaseai/sandbase-skills2042026年9月26日 更新

Research and evaluate backlink analysis with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for backlink analysis findings or verification.

日本語の概要は準備中です。原文の説明を表示しています。

sandbaseai/sandbase-skills2042026年9月26日 更新

Research and evaluate github gem seeker with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for github gem seeker findings or verification.

日本語の概要は準備中です。原文の説明を表示しています。

sandbaseai/sandbase-skills2042026年9月26日 更新

Produce and operate Amazon Nova Reel video-generation jobs through Amazon Bedrock. Use for Nova Reel text-to-video, image-conditioned animation, automated or manual multi-shot storyboards, async S3 delivery, cost and approval gates, production continuity, output custody, and AWS-specific safety, privacy, IAM, and provenance decisions.

日本語の概要は準備中です。原文の説明を表示しています。

calesthio/generative-media-skills2022026年7月14日 更新

Use MiniMax's first-party Hailuo video API safely and reproducibly across global and mainland-China platforms. Covers current text-to-video, image-to-video, first/last-frame, and subject-reference models; prompt and camera craft; region/account routing; exact cost approval; asynchronous jobs and callbacks; artifact provenance; and rights, likeness, disclosure, and data-governance review. Use when designing, implementing, debugging, or evaluating direct MiniMax/Hailuo video-generation API workflows. Do not use for the consumer Hailuo site, Video Agent templates, gateways, or unrelated MiniMax modalities.

日本語の概要は準備中です。原文の説明を表示しています。

calesthio/generative-media-skills2022026年7月14日 更新

Generate and operate Tencent Hunyuan video through the managed TokenHub HY-Video-1.5 API or official local HunyuanVideo repositories. Use for text-to-video, image-to-video, hosted job lifecycle, pricing and region planning, local checkpoint selection, hardware and acceleration, prompt design, licensing, safety, provenance, and delivery QA.

日本語の概要は準備中です。原文の説明を表示しています。

calesthio/generative-media-skills2022026年7月14日 更新

Use Google Lyria music generation models through Google Cloud / Vertex AI / Gemini Enterprise Agent Platform for production music beds, songs, vocal tracks, image-conditioned music, short-form social audio, ad music, and video scoring. Covers Lyria 2, Lyria 3 Clip, and Lyria 3 Pro model selection, prompt construction, rights/privacy checks, SynthID/C2PA provenance, artifact custody, and QA.

日本語の概要は準備中です。原文の説明を表示しています。

calesthio/generative-media-skills2022026年7月14日 更新

Plan, generate, edit, and quality-check still images with Google's Gemini native image models (Nano Banana), including Gemini 3.1 Flash Image, Gemini 3.1 Flash-Lite Image, Gemini 3 Pro Image, and legacy Gemini 2.5 Flash Image. Use for model and API-route selection, conversational editing, multi-reference composition, thinking and Google Search grounding, resolution/aspect-ratio control, exact-text and brand workflows, SynthID/provenance, safety, privacy, rights, and migration from legacy Gemini or Imagen image endpoints. Do not use for Veo/video generation or Gemini Live/audio work.

日本語の概要は準備中です。原文の説明を表示しています。

calesthio/generative-media-skills2022026年7月14日 更新

Generate, edit, composite, stream, and production-review still images with OpenAI GPT Image models. Use when an agent must choose between GPT Image 2 and legacy GPT Image/DALL-E integrations, select the Image API or Responses API, build prompts and reference-image workflows, use masks or multiple inputs, preserve identity or brand details, render in-image text, handle output files and partial images, estimate cost and rate limits, migrate deprecated image code, or apply OpenAI image safety, consent, privacy, provenance, and rights requirements. Do not use for OpenAI video or audio generation.

日本語の概要は準備中です。原文の説明を表示しています。

calesthio/generative-media-skills2022026年7月14日 更新

Operate Stability AI image generation, image-to-image, edit, control, background, and upscale APIs safely and reproducibly. Use when selecting or calling Stable Image Ultra, Core, Stable Diffusion 3.5, v2beta image edit/control services, or Stability open-weight image models; when debugging schemas, moderation, rate limits, cost, lifecycle, licenses, privacy, provenance, or migrations; and when planning production QA for Stability-generated images.

日本語の概要は準備中です。原文の説明を表示しています。

calesthio/generative-media-skills2022026年7月14日 更新

Produce and review production image-generation and image-editing workflows with Amazon Nova Canvas on Amazon Bedrock, including native InvokeModel payloads, safe authentication, validation, retries, cost controls, provenance, and lifecycle migration checks. Use when a task names Nova Canvas, amazon.nova-canvas-v1:0, Bedrock image generation, Canvas inpainting/outpainting/background removal, image conditioning, color guidance, image variation, virtual try-on, or Canvas fine-tuning.

日本語の概要は準備中です。原文の説明を表示しています。

calesthio/generative-media-skills2022026年7月14日 更新

Provider-independent production workflow for agents assembling, auditing, executing, and handing off ComfyUI node-graph workflows for image, video, upscale, inpaint, conditioning, and batch media generation; use when a task involves ComfyUI workflow JSON/API graphs, model and custom-node inventories, reproducibility, provenance, safety/rights review, local or cloud execution hygiene, or production QA.

日本語の概要は準備中です。原文の説明を表示しています。

calesthio/generative-media-skills2022026年7月14日 更新

Provider-independent production workflow for AI agents assembling generated or source media into HyperFrames HTML/CSS/JS videos. Use for HyperFrames composition planning, scene architecture, media custody, animation/timing, captions/audio, deterministic preview/render QA, accessibility/flashing checks, provenance ledgers, and delivery handoff.

日本語の概要は準備中です。原文の説明を表示しています。

calesthio/generative-media-skills2022026年7月14日 更新

Use Adobe Firefly Services to generate, edit, expand, fill, match, composite, and upscale still images through the current REST APIs. Apply when selecting Firefly Image 5 versus Image 3/4 or custom models, implementing authenticated asynchronous image workflows, using style or structure references, building product composites, handling provenance and enterprise rights, or diagnosing Firefly image jobs in production. Exclude Firefly video, audio, and unrelated Creative Cloud APIs.

日本語の概要は準備中です。原文の説明を表示しています。

calesthio/generative-media-skills2022026年7月14日 更新

Provider-independent production workflow for creating Manim-based explainer animations. Use when an agent must plan, code, render, QA, or hand off precise math, science, data, diagram, algorithm, or concept animations with Manim, including storyboard, scene architecture, formulas, coordinate systems, voiceover timing, accessibility, reproducibility, provenance, and delivery decisions.

日本語の概要は準備中です。原文の説明を表示しています。

calesthio/generative-media-skills2022026年7月14日 更新