Agent
Models semantic layers, defines business metrics, designs data marts, and encodes business logic in SQL. Invoke with $ae.
Agent
Models semantic layers, defines business metrics, designs data marts, and encodes business logic in SQL. Invoke with $ae.
Agent
Designs dashboards, builds Snowsight reports, creates visualizations, and translates business questions into BI artifacts. Invoke with $bi.
Agent
Reviews data strategy, evaluates architecture decisions, assesses risk and compliance posture, and provides executive-level perspective. Invoke with $cdo.
Agent
Working-backwards pre-commitment facilitator. Runs the $bloom dialogue and writes the lifecycle bloom artifact.
Agent
Post-execution intelligence analyst. Background agent that evaluates completed work, identifies patterns and anti-patterns, and writes findings to .cocoplus/grove/cupper-findings.md. Triggered automatically on session end.
Agent
Roundtable orchestrator. Prepares a topic brief, coordinates independent participant outputs, and synthesizes decision-ready findings.
Agent
Lossless context distillation agent. Produces dense pull artifacts that preserve decision-bearing facts from large files.
Agent
Background context ranker. Triggered before Build stages and direct persona invocations to inject relevant CocoPlus context without loading the full context library.
Agent
Non-blocking developer engagement observer. Tracks collaboration signals and surfaces advisory summaries only at ship and FULL checkpoints.
Agent
CocoBrew lifecycle coordinator. Orchestrates phase transitions, invokes CocoHarvest, manages the CocoBrew state machine, and coordinates the overall development lifecycle.
Agent
Performs exploratory analysis, builds ad-hoc queries, interprets business metrics, and produces analytical reports. Invoke with $da.
Agent
Designs schemas, builds SQL pipelines, writes dbt models and stored procedures, and optimizes data transformations. Invoke with $de.
Agent
Defines data product requirements, manages roadmap, writes PRDs for data features, and ensures data products meet stakeholder needs. Invoke with $dpm.
Agent
Develops ML models, engineers features, works with Snowpark notebooks and Cortex ML functions, and conducts statistical analysis. Invoke with $ds.
Agent
Manages data governance, enforces data quality standards, defines data lineage, and ensures compliance with data policies. Invoke with $dst.
Agent
Background Snowflake environment scanner. Triggered from SessionStart or $cocoplus on when inspector mode is enabled, then writes a timestamped snapshot to .cocoplus/snapshots/.
Agent
Background SQL reviewer. Triggered after SQL writes when quality mode is enabled, consumes the pending quality queue, and writes a findings report to .cocoplus/.
Agent
SecondEye adversarial reviewer. Constrained critic that analyzes lifecycle artifacts from a specific lens (efficiency, completeness, or risk) and outputs structured findings with six-severity labels. Invoked by $secondeye in parallel at three model tiers.
Skill Claude CodeCodex
Cortex-specific behavioral guidelines — always-on inner constraint layer for all CocoPlus personas.
Skill Claude CodeCodex
Relevance-ranked context loading — Tier 2 async subagent (Haiku, <5s) that fires after Tier 1 deterministic checks in UserPromptSubmit. Injects ranked context from CocoGrove, CocoContext, Environment Inspector, Prompt Studio, and CocoDream.
Skill Claude CodeCodex
Developer engagement observer — non-blocking, always-on observational layer that tracks Delegation Intensity, Review Depth, and Engagement Zone throughout a session. Summary surfaced at $ship and FULL checkpoints.
Instructions file CodexOpenCode
Instructions for Snowflake-Labs/cocoplus, covering cocoplus plugin — behavioral rules, auto-loaded by coco when cocoplus plugin is active, this is the plugin-level agents.md, plugin identity and core behavioral rules.
MCP server Claude CodeCodexCursor +2
MCP server for Snowflake. Runs locally from the snowflake-labs-mcp Python package. Needs 13 environment variables to run.
Instructions file CodexOpenCode
Assess and optimize data for AI workloads across platforms. Scan estates for prioritization, assess assets against profiles, and guide remediation.