dark-intelligence-workflow-step-6-implement

Sub-skill of dark-intelligence-workflow: Step 6 — Implement (+1).

5 stars

Best use case

dark-intelligence-workflow-step-6-implement is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of dark-intelligence-workflow: Step 6 — Implement (+1).

Teams using dark-intelligence-workflow-step-6-implement 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/step-6-implement/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/data/dark-intelligence-workflow/step-6-implement/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/step-6-implement/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How dark-intelligence-workflow-step-6-implement Compares

Feature / Agentdark-intelligence-workflow-step-6-implementStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of dark-intelligence-workflow: Step 6 — Implement (+1).

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

# Step 6 — Implement (+1)

## Step 6 — Implement


Build the clean implementation using extracted methodology and test data.

**Process:**
1. Choose target repo based on category (see repo-map.yaml)
2. Write failing tests first (from Step 5 output)
3. Implement equations from the archive YAML
4. Run tests until green
5. Refactor while keeping tests green

**Target repo selection:**

| Category | Primary repo |
|----------|-------------|
| Structural, geotechnical, subsea, pipeline | digitalmodel |
| Shared utilities, unit conversion, common calcs | assetutilities |
| Energy market, drilling, production data | worldenergydata |
| Financial analysis, portfolio | assethold |


## Step 7 — Produce Calc Report


Generate a calculation-report YAML from the extracted data.

1. Use the `data/calculation-report` skill for the report template
2. Populate with equations, inputs, outputs from the archive YAML
3. Include worked examples as verification cases
4. Validate the YAML against the calc-report schema
5. Generate HTML report for review

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