machine-learning
319
auto-dream
Background memory consolidation and learning graduation — overnight knowledge lifecycle.
notque
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
machine-learning
319
security-threat-model
Security threat model: scan toolkit for attack surface, supply-chain risks.
notque
data-ai
llm-ai
318
growth-hacker
Generate growth strategies and ready-to-publish marketing content for product growth. Use when planning launches, assessing product-market fit, creating marketing content, designing experiments, optimizing activation/onboarding, or developing acquisition strategies. Incorporates proven frameworks from Sean Ellis (PMF testing, ICE prioritization) and Nikita Bier (viral consumer growth, activation optimization). Covers product-market fit assessment, activation optimization, viral loops, SEO, email marketing, social media, landing pages, and growth experiments.
kasperjunge
data-ai
data-engineering
317
message-bus
File-based message queue for inter-agent coordination. Used by workers AND board directors to communicate. Provides: progress updates, task completion signals, file locking, board deliberation. Core infrastructure for parallel execution.
Ibrahim-3d
data-ai
data-engineering
317
parallel-dispatch
Parallel execution engine for dispatching worker agents. Used by conductor-orchestrator to spawn multiple workers simultaneously from DAG parallel groups. Handles dispatch, monitoring, aggregation, and failure recovery.
Ibrahim-3d
data-ai
data-analysis
314
elasticsearch-esql
Execute ES|QL (Elasticsearch Query Language) queries, use when the user wants to query Elasticsearch data, analyze logs, aggregate metrics, explore data, or create charts and dashboards from ES|QL results.
elastic
data-ai
data-engineering
314
scenario-scaffolding
Assists with creating complete ITBench scenarios by applying fault mechanisms to specific services, populating scenario files, and generating groundtruth DSL with fault propagations and alert predictions.
itbench-hub
data-ai
data-engineering
314
sf-data
Salesforce data operations with 130-point scoring. TRIGGER when: user creates test data, performs bulk import/export, uses sf data CLI commands, or needs data factory patterns for Apex tests. DO NOT TRIGGER when: SOQL query writing only (use sf-soql), Apex test execution (use sf-testing), or metadata deployment (use sf-deploy).
Jaganpro
data-ai
data-engineering
314
sf-datacloud-prepare
Salesforce Data Cloud Prepare phase. TRIGGER when: user creates or manages Data Cloud data streams, DLOs, transforms, or Document AI configurations, or asks about ingestion into Data Cloud. DO NOT TRIGGER when: the task is connection setup only (use sf-datacloud-connect), DMOs and identity resolution (use sf-datacloud-harmonize), or query/search work (use sf-datacloud-retrieve).
Jaganpro
data-ai
data-engineering
314
sf-datacloud
Salesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
Jaganpro
data-ai
machine-learning
314
sf-industry-commoncore-datamapper
OmniStudio Data Mapper (formerly DataRaptor) creation and validation with 100-point scoring. Use when building Extract, Transform, Load, or Turbo Extract Data Mappers, mapping Salesforce object fields, or reviewing existing Data Mapper configurations. TRIGGER when: user creates Data Mappers, configures field mappings, works with OmniDataTransform metadata, or asks about DataRaptor/Data Mapper patterns. DO NOT TRIGGER when: building Integration Procedures (use sf-industry-commoncore-integration-procedure), authoring OmniScripts (use sf-industry-commoncore-omniscript), or analyzing cross-component dependencies (use sf-industry-commoncore-omnistudio-analyze).
Jaganpro
data-ai
data-engineering
313
create-transformer
Use when creating a new walkerOS transformer. Example-driven workflow for validation, enrichment, or redaction transformers.
elbwalker
data-ai
data-engineering
313
understanding-transformers
Use when working with transformers, understanding event validation/enrichment/redaction, or learning about transformer chaining. Covers interface, return values, and pipeline integration.
elbwalker
data-ai
data-engineering
313
understanding-mapping
Use when transforming events at any point in the flow (source→collector or collector→destination), configuring data/map/loop/condition, or understanding value extraction. Covers all mapping strategies.
elbwalker
data-ai
data-analysis
313
r-econometrics
Run IV, DiD, and RDD analyses in R with proper diagnostics
meleantonio
data-ai
data-analysis
313
stata-regression
Run regression analyses in Stata with publication-ready output tables.
meleantonio
data-ai
data-analysis
313
python-panel-data
Panel data analysis with Python using linearmodels and pandas.
meleantonio
data-ai
data-analysis
313
stata-data-cleaning
Clean and transform messy data in Stata with reproducible workflows
meleantonio
data-ai
data-analysis
313
latex-tables
Generate publication-ready regression tables in LaTeX.
meleantonio
data-ai
data-engineering
312
clickhouse-system-queries
Query ClickHouse system tables to inspect query logs, monitor cluster health, check replication status, and analyze slow queries. Use when the user mentions "system tables", "query_log", "ClickHouse monitoring", "cluster status", "slow queries", or asks to diagnose ClickHouse operational issues.
FrankChen021
data-ai
data-engineering
312
sql-expert
Expert system for generating, validating, and optimizing ClickHouse SQL. Use this when the user needs data, queries, or analysis.
FrankChen021
data-ai
data-engineering
312
cascadeflow
OpenClaw-native domain cascading. Use when users need cost/latency reduction via cascading, domain-aware model assignment, OpenClaw-native event handling, and command setup including /model cflow and optional /cascade stats commands.
lemony-ai
data-ai