domain cluster

Data & AI

Machine learning, LLMs, and data processing.

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llm-ai
276

honcho-integration

Integrate Honcho memory and social cognition into existing Python or TypeScript codebases. Use when adding Honcho SDK, setting up peers, configuring sessions, or implementing the dialectic chat endpoint for AI agents.

plastic-labs
plastic-labs
data-ai
open
data-analysis
276

lime-echart

Integrates Apache ECharts into UniApp and UniAppX projects for cross-platform data visualization (H5, mini-programs, native App). Supports line, bar, pie, scatter, radar, gauge, funnel, heatmap, and more chart types. Use when the user needs to create ECharts charts in UniApp/UniAppX or configure interactive data visualizations for mobile and web.

partme-ai
partme-ai
data-ai
open
data-engineering
276

avue-crud

Builds configuration-driven CRUD tables with the Avue framework, including column definition, pagination, search, sorting, row operations (add/edit/delete), data export, and form validation. Use when the user needs to create data management interfaces with Avue CRUD tables in Vue 2 applications.

partme-ai
partme-ai
data-ai
open
data-engineering
276

openspec-sync

Sync delta specs from a change into main specs using `/opsx:sync`, without archiving the change. Use when the user says "sync specs", "merge specs to main", "/opsx:sync", or needs to update main specs mid-change.

partme-ai
partme-ai
data-ai
open
data-engineering
276

spring-data-jpa

Provides comprehensive guidance for Spring Data JPA including repositories, entity management, query methods, and database operations. Use when the user asks about Spring Data JPA, needs to work with JPA repositories, implement data access layers, or configure JPA in Spring.

partme-ai
partme-ai
data-ai
open
data-analysis
273

fletcher

Defamiliarization audit for empirical output. Systematically interrogates every feature of a figure, table, or set of results — not just the main finding. Named for Jason Fletcher, who asked about the spike at t=1 when everyone else was looking at t=2. Use when you have output and are about to interpret or report it.

scunning1975
scunning1975
data-ai
open
llm-ai
269

build-deploy

Build llm-mux binary and run locally for development/debugging

nghyane
nghyane
data-ai
open
data-analysis
269

sap-data-workbook

Create SAP Data Workbooks (.sapwb) for SAP data analysis. Use when the user asks to analyze SAP data, create data quality checks, build reports, compare tables, profile data, or any multi-step SAP data exploration. Workbooks have ABAP SQL cells (queries against SAP) and JavaScript cells (process results). They save as files and can be re-run.

marcellourbani
marcellourbani
data-ai
open
data-engineering
269

abap-performance-hana

ABAP performance best practices for S/4HANA and HANA database systems.Use when writing or reviewing ABAP code on HANA-based systems.IMPORTANT: First use the SAP system info tool to check the system type — if the system is ECC or runs on a traditional database (Oracle, DB2, MSSQL), load the abap-performance-ecc skill instead. Covers code pushdown, CDS views, AMDP, advanced SQL, and HANA-optimized patterns.

marcellourbani
marcellourbani
data-ai
open
data-engineering
267

grafana-platform-dashboard

Design, refactor, and validate Grafana dashboards for OpenShift/Kubernetes platform operations. Use when users ask to improve platform health dashboards, prioritize critical tenant-impacting signals, filter noise (for example ArgoCD), add Crossplane/Keycloak health panels, validate PromQL programmatically, or apply GrafanaDashboard CR changes live then promote to GitOps.

boshu2
boshu2
data-ai
open
data-engineering
267

grafana-platform-dashboard

Design, refactor, and validate Grafana dashboards for OpenShift/Kubernetes platform operations. Use when users ask to improve platform health dashboards, prioritize critical tenant-impacting signals, filter noise (for example ArgoCD), add Crossplane/Keycloak health panels, validate PromQL programmatically, or apply GrafanaDashboard CR changes live then promote to GitOps.

boshu2
boshu2
data-ai
open
machine-learning
267

council

Multi-model consensus council. Spawns parallel judges with Codex session agents when available. Modes: validate, brainstorm, research. Triggers: "council", "get consensus", "multi-model review", "multi-perspective review", "council validate", "council brainstorm", "council research".

boshu2
boshu2
data-ai
open
machine-learning
267

council

Multi-perspective review for Codex using the current sub-agent runtime. Triggers: "council", "get consensus", "multi-model review", "multi-perspective review", "council validate", "council brainstorm", "council research".

boshu2
boshu2
data-ai
open
machine-learning
267

reverse-engineer-rpi

Reverse-engineer a product into a feature catalog, code map, and specs. Uses RPI-style loop with verification gates. Triggers: “reverse engineer”, “catalog features”, “feature inventory”, “code map”, “docs to code mapping”, “binary analysis”.

boshu2
boshu2
data-ai
open
machine-learning
267

validation

Full validation phase orchestrator. Vibe + post-mortem + retro + forge. Reviews implementation quality, extracts learnings, feeds the knowledge flywheel. Triggers: "validation", "validate", "validate work", "review and learn", "validation phase", "post-implementation review".

boshu2
boshu2
data-ai
open
machine-learning
267

council

Multi-model consensus council. Spawns parallel judges with configurable perspectives. Modes: validate, brainstorm, research. Triggers: "council", "get consensus", "multi-model review", "multi-perspective review", "council validate", "council brainstorm", "council research".

boshu2
boshu2
data-ai
open
machine-learning
267

reverse-engineer-rpi

Reverse-engineer a product into a feature catalog, code map, and specs. Uses RPI-style loop with verification gates. Triggers: “reverse engineer”, “catalog features”, “feature inventory”, “code map”, “docs to code mapping”, “binary analysis”.

boshu2
boshu2
data-ai
open
machine-learning
267

validation

Full validation phase orchestrator. Vibe + post-mortem + retro + forge. Reviews implementation quality, extracts learnings, feeds the knowledge flywheel. Triggers: "validation", "validate", "validate work", "review and learn", "validation phase", "post-implementation review".

boshu2
boshu2
data-ai
open
data-engineering
266

gcp-agent-golden-dataset-builder

Assists developers in collecting and structuring a library of diverse examples ("Golden Dataset") required for data-driven evaluation, including tool trajectories.

GoogleCloudPlatform
GoogleCloudPlatform
data-ai
open
data-engineering
266

drizzle-safe-migrations

Production-safe Drizzle migration workflow for schema changes that require data backfills or constraint tightening. Use when changing enums/check constraints/defaults, removing status values, or sequencing custom and generated migrations in Drizzle. Trigger on requests about Drizzle migration safety, deployment-safe backfills, migration ordering, and rollback planning.

pedronauck
pedronauck
data-ai
open
data-engineering
266

xstate

Comprehensive guide for XState v5 ecosystem including state machines, actors, @xstate/store, and TanStack Query integration. Use when implementing state machines, event-driven stores, client state management, or integrating XState with React and TanStack Query for data fetching orchestration.

pedronauck
pedronauck
data-ai
open
machine-learning
266

gcp-agent-tool-trajectory-evaluator

Provides custom Python metrics for configuring Vertex AI Gen AI Evaluation to measure Trajectory Precision, Recall, and Order Match.

GoogleCloudPlatform
GoogleCloudPlatform
data-ai
open
llm-ai
265

hook-creator

Create and configure Claude Code hooks for customizing agent behavior. Use when the user wants to (1) create a new hook, (2) configure automatic formatting, logging, or notifications, (3) add file protection or custom permissions, (4) set up pre/post tool execution actions, or (5) asks about hook events like PreToolUse, PostToolUse, Notification, etc.

greatSumini
greatSumini
data-ai
open
data-analysis
264

journey-mapping

User and customer journey mapping for experience analysis. Creates journey maps with touchpoints, emotions, pain points, and opportunity identification.

Prorise-cool
Prorise-cool
data-ai
open
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