| name | linear-insights |
| description | Gemini-native platform analytics and reporting — generates deep dives and velocity estimates with 2M+ token grounding |
| capability | skill.linear_insights |
| node_name | node_skill_linear_insights_orchestrator |
| dot_color | 39 |
Linear Insights Skill (Gemini Edition)
Unified analytics and reporting for the ONEX platform, leveraging Gemini's long context to perform comprehensive daily work analysis, velocity-based completion estimates, and project health monitoring.
Workflow
- Reporting Mode Selection: Supports multiple sub-modes:
deep-dive, close-day, project, velocity, suggest, pipeline, and github.
- Data Aggregation: Gemini pulls data from Linear, GitHub, and local git history across the entire organization.
- Deep Dive Analysis: Generates a high-fidelity summary of work completed, classifying PRs by impact and significance.
- Velocity Estimation: Calculates project velocity using a weighted rolling average and estimates milestone ETAs with confidence intervals.
- Kafka Emission: Optionally relays workstream snapshots to the ONEX event bus via
onex-linear-relay.
Gemini Advantages
- Cross-Repo Productivity Analysis: Gemini sees the entire organization's activity, allowing it to correlate a fix in one repository with a feature launch in another.
- Superior Semantic Classification: More accurately classifies work into "feature" vs "fix" by understanding the technical intent of the PRs and commits.
- Context-Rich Project Health: Provides a more nuanced assessment of project risks and blockers by analyzing the relationship between various technical challenges across the codebase.
Arguments
--mode: deep-dive | close-day | project | velocity | suggest | pipeline | github | all.
--project: Targeted Linear project name.
--date: Target date for reporting.
--emit: Relay snapshot to Kafka.