Plugins
12 plugins@fradser
Superpowers
Advanced development workflow orchestration with BDD support and self-improving skills
8 skills · plugin
@fradser
Refactor
Agent and skills for code simplification and refactoring to improve code quality while preserving functionality
3 skills · plugin
curated
Customer Journey Mapping
Map the end-to-end customer journey, identify friction points, and uncover improvement opportunities.
5 skills · plugin
curated
Optimize Qdrant Search Quality
Diagnose and improve Qdrant search relevance by isolating embedding, config, or query issues.
3 skills · plugin
curated
Diagnose and Fix AI Workflow
Diagnoses an AI workflow and applies structured improvements for quality and reliability.
4 skills · plugin
curated
Web Performance Audit and Optimize
Measure performance, identify bottlenecks, and apply fixes to improve Core Web Vitals.
9 skills · plugin
curated
SEO Audit and Fix
Audit a website for SEO issues, fix metadata and structured data, and verify improvements.
10 skills · plugin
@dotnet
Dotnet Test
Skills for running, generating, analyzing, and improving .NET tests: test execution, filtering, platform detection, coverage, testability, and MSTest workflows.
20 skills · plugin
curated
SEO Audit to Optimization
Audit a website for SEO issues, analyze on-page elements, and implement fixes to improve organic performance.
9 skills · plugin
@samyakjhaveri
Helpers
Utility skills (decision-matrix, navigate, model-route, prompt-improver, grill-research, align-prompt). Useful for specialized one-off tasks like structured decisions, adversarial research grilling, or aligning a draft prompt to an Opus model. NOT for: daily development workflow — these are situational tools, not always-on skills.
4 skills · plugin
@samyakjhaveri
Pocock Engineering
Engineering workflow skills from Matt Pocock's skills repo (triage, to-issues, to-prd, tdd, prototype, diagnose, grill-with-docs, improve-codebase-architecture, zoom-out). Covers issue lifecycle, TDD, prototyping, architectural review, domain grilling, and PRD generation. NOT for: daily development workflow — install individual skills as needed.
7 skills · plugin
@alirezarezvani
Engineering Team
32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security,
16 skills · plugin
Results for “improv”
9 skills
google agent-platform-eval-flywheel
Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology, including dataset creation, metric selection, failure analysis, and iterative improvement.
14.4k · bundle
diegosouzapw mhc
Implements Manifold-Constrained Hyper-Connections (mHC) using Doubly Stochastic Matrices to improve deep learning stability.
54 · bundle
systemtce 03-performance
Optimizes Dify workflows and plugins by restructuring graphs, reducing LLM token usage, tuning worker pools, and improving parallel processing.
34 · bundle
qhjqhj00 phoenix-observability
Self-hosted observability platform for LLM applications, providing tracing, evaluation, datasets, experiments, and real-time monitoring to debug and improve AI systems.
3 · bundle
More results
nvidia jetson-speculative-decoding
Reduce per-token latency on Jetson vLLM servers by appending speculative decoding configuration, with guidance on when to enable and how to benchmark the improvement.
2.2k · bundle
lingxling arbor
Runs an autonomous optimization loop that iteratively improves an artifact against an objective and evaluator using Hypothesis Tree Refinement, with subagent executors in isolated git worktrees.
253 · bundle
ecnu-icalk ciou-giou
Replaces GIoU with Complete IoU (CIoU) loss in PyTorch object tracking or detection tasks, combining overlap area, center-point distance, and aspect-ratio similarity for improved bounding-box regression.
559
nvidia tao-run-deft-aoi
Automates the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models, including baseline evaluation, RCA, synthetic defect generation, data mining, retraining, and deployment gating until KPI targets are met.
2.2k · bundle
gabrielmoreira fine-mapping
Statistical fine-mapping of GWAS loci using SuSiE, SuSiE-inf, and Approximate Bayes Factors to identify credible sets and posterior inclusion probabilities (PIPs) for causal variant discovery. SuSiE-inf adds an infinitesimal polygenic component for improved calibration at well-powered loci.
17 · bundle