drillbotics-scoring-summary

Sub-skill of drillbotics: Scoring Summary.

5 stars

Best use case

drillbotics-scoring-summary is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of drillbotics: Scoring Summary.

Teams using drillbotics-scoring-summary should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/scoring-summary/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/engineering/drilling/drillbotics/scoring-summary/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/scoring-summary/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How drillbotics-scoring-summary Compares

Feature / Agentdrillbotics-scoring-summaryStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of drillbotics: Scoring Summary.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Scoring Summary

## Scoring Summary


| Category | Notes |
|----------|-------|
| Trajectory accuracy | Distance from planned path to each target |
| Drilling efficiency | ROP achieved, time to TD |
| Dysfunction avoidance | Stick-slip, washout, lost circulation events |
| Well control | Kick detection speed, shut-in execution, false-alarm rate |
| HMI quality | Alarm management, automation levels design |
| Phase I report | Technical rigor of design document |
| Edge-AI bonus | +15 pts — optional offline small-model AI project |

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