Compute plan health metrics from Forge PLAN.md and tasks.
npx skills add https://github.com/whatwecando/dagsmith --skill forge-metrics
Please help me install this Agent Skill. Skill: forge-metrics Source: https://github.com/whatwecando/dagsmith/tree/main/templates/skills/forge-metrics Command: npx skills add https://github.com/whatwecando/dagsmith --skill forge-metrics
Plan health and progress visibility for Forge projects by aggregating and presenting metrics from the current plan.
Run the metrics tool to generate a readable health report for the active plan.
High-intent search queries and answers about installing and using this skill.
To check project plan health, the system reads the .planning directory to compute task statuses, wave concurrency, and DAG depth. It aggregates this data to provide a structured summary of remaining work and overall progress visibility for your project.
In project management metrics, task waves indicate parallelism and concurrency potential, while DAG depth measures the longest dependency chain. These indicators help assess execution bottlenecks and determine how efficiently remaining work can be processed in parallel.
You generate a health report by running the metrics tool against your active project workspace. It automatically extracts task counts, feature coverage, and atomicity metrics from your existing plan files to produce a readable summary of current project status.
Yes, you can measure feature coverage and task atomicity automatically by scanning your plan files. The tool identifies feature references and evaluates task structures within the workspace, eliminating the need for manual tracking while highlighting potential coverage gaps or risks.
No external dependencies or plugins are required. The tool operates directly on your project workspace by reading the .planning directory structure, computing task metrics, and surfacing project health insights without needing additional software installations.
The best way to identify remaining work and bottlenecks is by analyzing the plan's DAG depth and wave concurrency. This approach surfaces the longest dependency chains and highlights parallelism limits, allowing you to spot execution risks and gaps effectively.
fikriafGenerate a markdown plan for a task and save it to the workspace.
jmaglyGenerate SDLC reports with iteration status, metrics dashboards, and executive summaries.
dobrinz123Execute project phase plans in parallel waves with isolated subagents.
pwnk77Track task completion and generate automated project status reports.
