代码生成
生成代码、脚手架和模板
Hypothesis
product-on-purpose
A curated collection of 24 best-practice, plug-and-play product management “agent skills” plus templates and workflow bundles for consistent, professional PM outputs.
Problem Statement
product-on-purpose
A curated collection of 24 best-practice, plug-and-play product management “agent skills” plus templates and workflow bundles for consistent, professional PM outputs.
Retrospective
product-on-purpose
A curated collection of 24 best-practice, plug-and-play product management “agent skills” plus templates and workflow bundles for consistent, professional PM outputs.
Interview Synthesis
product-on-purpose
A curated collection of 24 best-practice, plug-and-play product management “agent skills” plus templates and workflow bundles for consistent, professional PM outputs.
Spike Summary
product-on-purpose
A curated collection of 24 best-practice, plug-and-play product management “agent skills” plus templates and workflow bundles for consistent, professional PM outputs.
Dashboard Requirements
product-on-purpose
A curated collection of 24 best-practice, plug-and-play product management “agent skills” plus templates and workflow bundles for consistent, professional PM outputs.
Design Rationale
product-on-purpose
A curated collection of 24 best-practice, plug-and-play product management “agent skills” plus templates and workflow bundles for consistent, professional PM outputs.
<skill-name>
product-on-purpose
<1-2 sentences, include trigger keywords, max 1024 chars>
Experiment Results
product-on-purpose
A curated collection of 24 best-practice, plug-and-play product management “agent skills” plus templates and workflow bundles for consistent, professional PM outputs.
Refinement Notes
product-on-purpose
A curated collection of 24 best-practice, plug-and-play product management “agent skills” plus templates and workflow bundles for consistent, professional PM outputs.
Stakeholder Summary
product-on-purpose
A curated collection of 24 best-practice, plug-and-play product management “agent skills” plus templates and workflow bundles for consistent, professional PM outputs.
Lessons Log
product-on-purpose
A curated collection of 24 best-practice, plug-and-play product management “agent skills” plus templates and workflow bundles for consistent, professional PM outputs.
tech-debt
Donchitos
"Track, categorize, and prioritize technical debt across the codebase. Scans for debt indicators, maintains a debt register, and recommends repayment scheduling."
gpui-event
longbridge
Event handling and subscriptions in GPUI. Use when implementing events, observers, or event-driven patterns. Supports custom events, entity observations, and event subscriptions for coordinating between components.
nature-image2ppt
Yuan1z0825
Convert slide images, screenshots, scanned PDFs, and image-only PPT/PPTX files into high-fidelity object-level editable PowerPoint, including semantic-region mixed reconstruction, measured flowcharts and knowledge graphs, native circle nodes and connectors, single-object thin and filled arrows, speaker-note preservation, and rendered QA. Use for 图片转可编辑PPT、截图还原PPT、扫描PDF恢复、图片型PPTX转换、流程图/知识图谱/复合图形/箭头重建; not for authoring a new deck from notes.
superdesign
superdesigndev
Superdesign is a design agent specialized in frontend UI/UX design. Use this skill before implementing any UI that requires design thinking. Common commands: superdesign create-project --title "X" (setup project), superdesign create-design-draft --project-id <id> --title "Current UI" -p "Faithfully reproduce..." --context-file src/Component.tsx (faithful reproduction), superdesign iterate-design-draft --draft-id <id> -p "dark theme" -p "minimal" --mode branch --context-file src/Component.tsx (design variations), superdesign execute-flow-pages --draft-id <id> --pages '[...]' --context-file src/Component.tsx (extend to more pages). Supports line ranges: --context-file path:startLine:endLine
github-pull-request-description
longbridge
Write a description to description GitHub Pull Request.
astropy
K-Dense-AI
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
generate-image
K-Dense-AI
Generate or edit images using AI models (FLUX, Gemini). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.
clinical-decision-support
K-Dense-AI
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
benchling-integration
K-Dense-AI
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
datamol
K-Dense-AI
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
cirq
K-Dense-AI
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.
flowio
K-Dense-AI
Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.