What happens if I don't specify a time range in my request?

To ensure accuracy, the skill is programmed to stop and ask for clarification regarding the time period (e.g., 'last 30 days' or 'Q1') before executing the query.

What kind of data can I query with the Span skill?

You can query a wide range of engineering and project data, including Pull Requests, commits, deployments, epics, issues, sprints, and investment data for individuals, teams, or the entire organization.

How does the skill handle authentication?

The skill requires a Span Personal Access Token (PAT) stored in a local auth.json file. It uses secure jq command substitution to ensure your token is never exposed in the conversation logs.

Does this skill work for organization-wide metrics?

Yes, by querying the 'Team' asset with a filter for the 'Organization' name, you can retrieve pre-aggregated metrics for your entire company.

Can I see trends over time, such as weekly or monthly metrics?

Yes, the skill supports time-series aggregation using 'granularity' settings like day, week, month, or quarter to track trends and compare different periods.

Span Engineering Analytics

Name: Span Engineering Analytics
Author: Attuned-Corp

byAttuned-Corp

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分析与监控

Queries engineering metrics, project management data, and investment insights from the Span Knowledge Graph API.

关于

This skill empowers Claude to interact directly with the Span.app Knowledge Graph, providing deep visibility into engineering and project management workflows. Users can retrieve real-time data on pull requests, deployment frequency, team velocity, and investment allocations. Designed with precision in mind, it includes built-in safeguards that prompt for time-range clarifications and utilize metadata caching to ensure queries are both accurate and high-performing. Whether you need to audit cycle times or generate organization-wide performance reports, this skill bridges the gap between raw engineering data and actionable insights.

主要功能

Access project management data for epics, issues, sprints, and investments
1 GitHub stars
Secure authentication management that prevents sensitive tokens from appearing in chat history
Query comprehensive engineering metrics including cycle time and deployment frequency
Efficient metadata caching system to reduce API latency and discovery overhead
Retrieve aggregated organization-level data via the specialized 'Organization' team entity

使用场景

Automating weekly sprint reports by fetching merged PR counts and team velocity
Analyzing engineering bottlenecks by querying cycle times across specific repositories
Tracking quarterly investment distributions and project progress for executive summaries

关于

主要功能

Access project management data for epics, issues, sprints, and investments
1 GitHub stars
Secure authentication management that prevents sensitive tokens from appearing in chat history
Query comprehensive engineering metrics including cycle time and deployment frequency
Efficient metadata caching system to reduce API latency and discovery overhead
Retrieve aggregated organization-level data via the specialized 'Organization' team entity

使用场景

Automating weekly sprint reports by fetching merged PR counts and team velocity
Analyzing engineering bottlenecks by querying cycle times across specific repositories
Tracking quarterly investment distributions and project progress for executive summaries