24,990 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Clean and standardize messy tabular data (CSV, spreadsheet paste, system exports) into an analysis-ready dataset — consistent dates and names, typed columns, duplicates identified, missing values handled explicitly. Use when the user says "clean this data", "standardize this CSV", "dedupe this list", or pastes a table…
Create Databricks AI/BI dashboards. Must use when creating, updating, or deploying Lakeview dashboards as Databricks Dashboard have a unique json structure. CRITICAL: You MUST test ALL SQL queries via CLI BEFORE deploying. Follow guidelines strictly.
Connect Braintrust, Langfuse, LangSmith, Phoenix Cloud, or OpenTelemetry traces to Reflexio through its setup APIs. Guide the agent developer through traffic selection and field mapping, save and validate a draft, and return the Reflexio review link for frontend activation. Do not add an interaction-publish flow.
A workflow for tracking Facebook posts associated with the Ba Nini counter-indicator and analysing them in Chinese. A counter-indicator treats a person or group’s public views as signals that may point in the opposite direction.
Run a full empirical / causal analysis in Python with StatsPAI (import statspai as sp) — applied-economics style (DID / RD / IV / synthetic control / DML / matching with estimating equation, identifying assumption, Table 1, main table, event-study figure, robustness gauntlet, Word / Excel / LaTeX export), epidemiology…
Find, inspect, and check AI benchmark records with the Benchmark Radar CLI. Use when a request needs benchmark discovery, details, recent Radar evidence, or local data health; do not assume why the user needs the results.
Install, run, parse, and optimize benchmarks from the Phoronix Test Suite (PTS). Use this skill whenever the user mentions "phoronix", "pts/", or "phoronix-test-suite", or asks to run, measure, improve, or optimize a PTS test — e.g., "run pts/mt-dgemm", "optimize pts/compress-zstd", "what score does pts/x265 get".…
Skills and MCP tools for walkerOS - the open-source event data collection platform. Learn architecture, create sources/destinations/transformers, validate events, bundle flows locally, and manage projects and deployments through the hosted walkerOS MCP server.
A careful workflow for working with table-like files such as CSV, Excel, TSV, JSON, and Parquet. It requires inspecting the data before writing small analysis steps, then checking each result.
UniFi system administration and monitoring: site management, multi-site aggregation, backups, QoS traffic routes, traffic flow analytics, deep packet inspection (DPI), RADIUS authentication, guest portal, hotspot packages, and SD-WAN. Use when the task involves site health, backups, bandwidth analytics, or RADIUS user…
Online (incremental) covariance, correlation, and precision estimation in Python — the streaming complement to sklearn.covariance. Use when code needs a covariance/correlation matrix updated per observation, recomputes np.cov/np.corrcoef in a rolling loop, must judge or compare covariance estimates, or proposes a new…
Render financial charts via the local chart web app (workspace at the repo root — Hono server + React front end, port 1792). Four chart types: intraday capital-flow line (flow) and cross-symbol signed-bar comparison (cohort) — both Recharts — plus SEPA strategy dashboard (sepa) and short-term multi-timeframe…
Use this skill whenever the user wants to create, build, set up, or fix a dashboard in Frappe Insights (also called "Insights", "Frappe Insights v3", or the analytics module). Trigger on phrases like: "create an Insights dashboard", "build a dashboard in Insights", "add a chart to a workbook", "create a workbook"…
Personal trading desk for short-term technical analysis on stocks/ETFs via Robinhood MCP. Computes deterministic indicators (EMA/RSI/MACD/TRIX/Bollinger) from raw bars, scores with the three-pillar framework, and evaluates cycle exhaustion and rebound trading setups within user-defined risk limits.
Format automated Next.js release, backport, and canary measurements for team-adx-science. Highlight regressions and evals to investigate, with full results in a thread.
Apply whenever you generate any chart, graph, or data visualization — from SQL results, in the chart-maker agent, in decks, or on "make a chart / visualize / plot / dashboard" requests. Enforces Storytelling With Data: gray first, one focus color, action titles, direct labels, no pies, using the helpers in…
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+3 1mo agoA80 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: