Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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lagoon-curator-evaluation
Systematically assess curators for partnership decisions using standardized scoring criteria
hopperlabsxyz/lagoon-mcp
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lagoon-risk-expert
Deep risk analysis for advanced users seeking comprehensive understanding of vault risk factors
hopperlabsxyz/lagoon-mcp
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lagoon-portfolio-review
Conduct structured portfolio health checks for existing Lagoon users, including risk assessment, performance analysis, rebalancing guidance, and forward projections. Activates for portfolio review, position check, and rebalancing requests.
hopperlabsxyz/lagoon-mcp
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lagoon-customer-support
Consistent, professional support responses for the internal support team
hopperlabsxyz/lagoon-mcp
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browser-use
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.
JoaquinCampo/Skills 2
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frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
JoaquinCampo/Skills 2
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react-best-practices
React and Next.js performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
JoaquinCampo/Skills 2
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apps-script
Google Apps Script development workflow and best practices. Use when writing, reviewing, debugging, or deploying Apps Script code — including container-bound scripts (Sheets, Docs, Forms, Slides), standalone scripts, web apps, add-ons, and API executables. Triggers on: "Apps Script", "google script", ".gs files", "clasp", "appsscript.json", "SpreadsheetApp", "DocumentApp", "GmailApp", "UrlFetchApp", "onOpen", "onEdit", "doGet", "doPost", "custom function", "Sheets automation", "Google Workspace automation", "bound script", "time-driven trigger", "installable trigger", "Apps Script deployment", "Apps Script add-on", "HtmlService sidebar", "script properties", "journal entry", "trial balance", "bank reconciliation", "aging report", "chart of accounts", "period close", "invoice generator", "accounting spreadsheet", "timesheet", "billable hours", "utilization", "retainer", "project profitability", "rate card", "expense allocation", "consultancy billing", "invoice from timesheets".
JoaquinCampo/Skills 2
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before-and-after
Captures before/after screenshots of web pages or elements for visual comparison. Use when user says "take before and after", "screenshot comparison", "visual diff", "PR screenshots", "compare old and new", or needs to document UI changes. Accepts two URLs (file://, http://, https://) or two image paths.
JoaquinCampo/Skills 2
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agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
JoaquinCampo/Skills 2
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skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
JoaquinCampo/Skills 2
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superdesign
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), superdesign create-component --project-id <id> --name "NavBar" --html-file /tmp/navbar.html --props '[...]' (extract reusable component), superdesign update-component --component-id <id> --html-file /tmp/navbar.html (update existing component), superdesign list-components --project-id <id> (list existing components). Supports line ranges: --context-file path:startLine:endLine
JoaquinCampo/Skills 2
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sparse-retrieval-eval
Evaluate sparse retrieval models on standard IR benchmarks (BEIR, MIRACL, mMARCO). Covers all IR metrics (nDCG@k, Recall@k, MAP, MRR), dataset loading, sparse corpus encoding to CSR matrices, IDF-weighted retrieval, caching, and result interpretation. Triggers on: evaluate retrieval, BEIR benchmark, nDCG, recall@k, sparse retrieval evaluation, MIRACL evaluation, information retrieval metrics, IR evaluation, search quality metrics.
JoaquinCampo/Skills 2
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wandb-plot
Download and generate plots from Weights & Biases runs. Use when you need to:
- List projects you have access to
- List runs in a W&B project
- Inspect available metrics for a run
- Download existing plot images from a run
- Generate line plots from metric history (loss, accuracy, etc.)
JoaquinCampo/Skills 2
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go
Go engineering best practices and idioms. This skill should be used when writing, reviewing, or refactoring Go code. Triggers on any .go file work, Go module operations, go test, go build, go run, go vet, go generate, or when the user mentions Go, golang, goroutines, channels, context, Go interfaces, Go error handling, Go testing, or Go concurrency. ALWAYS use this skill when Go code is involved, even for simple functions.
JoaquinCampo/Skills 2
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fastapi
FastAPI best practices and conventions. Use when working with FastAPI APIs and Pydantic models for them. Keeps FastAPI code clean and up to date with the latest features and patterns, updated with new versions. Write new code or refactor and update old code.
JoaquinCampo/Skills 2
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kvpress
kvpress (NVIDIA) KV-cache compression for HuggingFace LLMs. Use when: kvpress imports, compression_ratio, press(model) context managers, StreamingLLMPress, SnapKVPress, ExpectedAttentionPress, TOVAPress, KnormPress, KV-cache eviction, token pruning during generation, or attention sink methods.
JoaquinCampo/Skills 2
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plantuml
Create, edit, and render PlantUML diagrams. Triggers on: architecture diagrams, flowcharts, sequence diagrams, data models, state machines, visual documentation.
JoaquinCampo/Skills 2
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qdrant-sparse
Qdrant sparse vector operations: collection creation with SparseVectorParams, Modifier.IDF for miniCOIL/SPLADE/BM42, upserting SparseVector points, sparse search, hybrid search with prefetch + RRF/DBSF fusion, converting model outputs to SparseVector format, payload filtering, and performance tuning. Covers the sparse vector gap not handled by the official Qdrant MCP (which only supports dense vectors via FastEmbed).
JoaquinCampo/Skills 2
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vercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
JoaquinCampo/Skills 2
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time-series-forecasting
Use when writing, reviewing, or planning time series forecasting code. Triggers on: ARIMA, ETS, Theta, SARIMA, statsforecast, mlforecast, neuralforecast, XGBoost/LightGBM/CatBoost for time series, PatchTST, N-BEATS, TFT, Chronos, TimesFM, Moirai, MASE, MAPE, CRPS, temporal CV, walk-forward validation, prediction intervals, conformal prediction, data leakage in time series, demand forecasting, hierarchical forecasting, lag features, rolling features.
JoaquinCampo/Skills 2
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hazard-survival-modeling
Use when implementing labeling.py, features.py, train.py, or code involving hazard/survival modeling, person-period data expansion, horizon labels, catastrophe prediction, XGBoost survival (survival:cox, survival:aft, binary:logistic), discrete-time survival, censoring, competing risks, C-index, Brier score, scale_pos_weight, or GroupKFold for sequences.
JoaquinCampo/Skills 2
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gsm8k-eval
GSM8K evaluation protocol: answer extraction (####, \boxed, CoT), accuracy scoring, prompt formatting, few-shot exemplars, dataset loading, pitfalls. Use when: GSM8K, grade school math, openai/gsm8k, #### delimiter, parse_gsm8k_answer, detect_answer_failure, load_gsm8k, format_chat, math benchmark scoring, gsm8k few-shot, chain-of-thought eval.
JoaquinCampo/Skills 2
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hpc-python
Python HPC patterns — threading/multiprocessing/async, CUDA streams, latency hiding, PyTorch DDP. Use when writing performance-sensitive Python code, distributed training, or parallel data processing.
JoaquinCampo/Skills 2