UI/UX, 로고, 슬라이드, 이미지 생성 (7.4천건)
Orchestrate the UI team through the complete frontend pipeline — ux-designer, design-system-director, frontend-engineer, qa-tester — UX spec, design tokens, responsive components, and visual testing.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Turn your AI session into an autonomous SaaS and software engineering studio with 49 specialized agents, 74 workflow skills (/saas-*), 28 director gates, and complete architecture across Next.js, FastAPI, Supabase, Tailwind, and Stripe.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Pre-production validation — end-to-end build to confirm the full loop is achievable before committing to Production. After PRDs, architecture, UX specs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Validate a UX spec, App Shell design or pattern library — accessibility, PRD alignment, readiness. APPROVED / NOT ASSESSED / NEEDS REVISION / MAJOR REVISION NEEDED.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Section-by-section UX spec authoring for a screen, flow or App Shell. Reads the customer journey to provide context; also project-wide accessibility.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Orchestrate the content & communication team — ux-content-strategist, copywriter, api-documentation-engineer, frontend-engineer — UX writing, API docs, transactional emails, and onboarding.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Breaks one epic into implementable stories with acceptance criteria. Use when the user wants stories for an epic or the next batch of work to build. Not for turning the whole design into epics.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate missing design or architecture docs from existing implementation — works backwards from code and prototypes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Lightweight spec for small changes — tuning adjustments, minor workflow tweaks. Embeds directly into stories; skips full PRD.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Reviews one design document for completeness, internal consistency, implementability, and design standards. Before handing to programmers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Finds architecture decisions (ADRs) made stale by a changed PRD and walks through resolving each. Use when the user changed a number or rule in a PRD and asks which ADRs or architecture decisions are now out of date.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Section-by-section PRD authoring for one system — walks through each required section, cross-references dependencies.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Author the Design Tokens & Semantic UI Spec — visual identity, color scales, typography, and component styling gating UI production. Run before /saas-map-features.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Decompose a concept into individual systems, map dependencies, prioritize design order, create the systems index.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Applies Innovations for Poverty Action's official brand colors and typography to any sort of artifact that may benefit from having IPA's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design, implement, and review web interface layout, component states, feedback, and motion within the current CodeConductor workflow. Use for concrete web UI work or requested UI audits, not backend-only tasks or native mobile apps.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Provides expert knowledge for building modern native Android apps using Kotlin, Jetpack Compose, Material Design 3, MVI architecture, Hilt dependency injection, and Media3/ExoPlayer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design, implement, review, and audit Android Jetpack Compose UI/UX for phone interfaces. Use when a request concerns concrete Compose layout, components, interaction, accessibility, or visual behavior. Do not activate for framework or dependency presence alone; non-UI Android work is excluded.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and coordinate multi-agent systems where specialized agents work together to solve complex problems. Covers agent communication, task delegation, workflow orchestration, and result aggregation. Use when building coordinated agent teams, complex workflows, or systems requiring specialized expertise across domains.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Work on the Android app — the thin WebView wrapper in `android/`. Use this whenever a task touches the Kotlin sources, the Gradle build, the WebView shell, the native settings screen, LMS server auto-discovery, the JS↔native bridge, app strings/i18n, or the Android CI/lint. Covers the "shell only, UI lives on the web" principle, the debug/release signing split, the static versioning F-Droid needs, and the min/target SDKs, so changes fit the wrapper.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Designs pegRNAs and nicking guides for prime editing (PE) -- choosing the nick/strand, tuning the primer-binding site (PBS) and reverse-transcription template (RTT) as a per-locus panel, selecting the PE system (PE2/PE3/PE3b/PE4/PE5/PEmax/PE7), adding MMR-evading and PAM-disrupting silent edits, appending epegRNA 3' motifs (tevopreQ1/mpknot), and ranking with PRIDICT/DeepPrime. Covers twinPE/PASTE for large insertions and the prime-vs-base-editing decision. Use when designing a scarless point mutation, small insertion/deletion, or any of the 12 base conversions without a double-strand break, when efficiency is low and MMR inhibition or pegRNA stabilization is needed, or when routing a large insertion to an integrase method. Generic guide scoring and base editing are separate skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Designs and ranks guide RNAs (sgRNAs) for CRISPR-Cas9/Cas12a gene knockout by scanning a target for PAM sites (NGG SpCas9, NNGRRT SaCas9, TTTV Cas12a, NG SpCas9-NG, near-PAMless SpRY), enumerating candidate spacers, applying hard filters (Pol-III TTTT terminator, 5' G, GC), ranking on-target activity with the context-appropriate model (Rule Set 2/Azimuth for U6/lentiviral, CRISPRscan for T7/embryo, DeepHF for high-fidelity variants, DeepCpf1 for Cas12a), and predicting the indel/frameshift outcome (Bae out-of-frame score, inDelphi, FORECasT, Lindel). Use when selecting sgRNAs to knock out a gene, choosing a nuclease/PAM for a constrained locus, picking which exon to target, or shortlisting guides before an off-target check. Off-target specificity, base/prime editing, and HDR donors are separate skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Designs donor/repair templates for precise CRISPR knock-ins -- choosing the format (ssODN, long-ssDNA/Easi-CRISPR, dsDNA/plasmid, AAV6), sizing homology arms, placing the cut within ~10 bp of the edit, and adding a mandatory codon-checked blocking (PAM/seed) mutation so the edited allele is not re-cut. Frames the HDR-vs-NHEJ-vs-MMEJ pathway competition, the MMEJ (PITCh) and homology-independent (HITI/HMEJ) alternatives for post-mitotic cells, ssODN strand/asymmetry choice, phosphorothioate end-protection, and ranked HDR enhancers. Use when designing a donor for a point mutation, epitope/fluorophore tag, allele replacement, or knock-in, or when HDR efficiency is low. Guide design and base/prime editing are separate skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Predict B-cell and T-cell epitopes for vaccine antigen design and epitope mapping with BepiPred-3.0, DiscoTope-3.0, the IEDB tools, and EL-mode MHC presentation. Encodes the load-bearing asymmetry that T-cell epitope prediction is mature (it reduces to MHC presentation, AUC>0.9) while B-cell prediction is unreliable (linear predictors ~AUC 0.6 because ~90% of real epitopes are conformational) — so structure-based DiscoTope-3.0 on AlphaFold models is the only defensible B-cell path, propensity scales are obsolete, and NetChop is largely redundant on EL-trained models. Use when mapping epitopes or selecting vaccine antigens. MHC binding lives in mhc-binding-prediction.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.