Agent skill · Databases

brownfield-analyzer

Analyzes existing brownfield projects to map documentation structure to SpecWeave's PRD/HLD/Spec/Runbook pattern. Scans folders, classifies documents, detects external tools (Jira, ADO, GitHub), and creates project context map for just-in-time migration. Activates for brownfield, existing project, migrate, analyze structure, legacy documentation.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill brownfield-analyzer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/analysis/brownfield-analyzer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Brownfield Analyzer **Self-contained brownfield project analysis for ANY existing codebase.** --- ## Purpose Analyze existing projects and create migration plan to SpecWeave structure. Two paths supported: Quick Start (incremental) or Comprehensive (upfront). --- ## Two Migration Paths ### Path 1: Quick Start (Recommended for Large Projects) **Best for**: 50k+ LOC, fast iteration, small teams **Process**: 1. Initial scan: Document core architecture (1-3 hours) 2. Start working immediately 3. Per increment: Document → Modify → Update docs 4. Documentation grows with changes **Benefits**: - Start in days, not weeks - Focus where it matters - No analysis paralysis ### Path 2: Comprehensive Upfront **Best for**: <50k LOC, teams, regulated industries **Process**: 1. Full analysis (1-4 weeks) 2. Document all modules, business rules 3. Create baseline tests 4. Then start increments **Benefits**: - Complete context upfront - Full regression coverage - Team coordination - Compliance ready ### Automatic Recommendation | Project Size | LOC | Upfront Effort | Recommended | |--------------|-----|----------------|-------------| | Small | <10k | 4-8 hours | Comprehensive | | Medium | 10k-50k |

What's inside
Steps it walks through
  1. Purpose
  2. Two Migration Paths
  3. Path 1: Quick Start (Recommended for Large Projects)
  4. Path 2: Comprehensive Upfront
  5. Automatic Recommendation
  6. Analysis Workflow
  7. Step 1: Project Assessment
  8. Step 2: Document Classification
  9. Step 3: External Tool Detection
  10. Step 4: Coding Standards Discovery
  11. Step 5: Generate Migration Plan
  12. Migration Checklist
  13. Before SpecWeave Init
  14. During Migration
Ships with 1 file
  • metadata.json
Commands it runs
Scan project
find . -type f -name "*.ts" -o -name "*.js" -o -name "*.py" | wc -l
find . -type f \( -name "*.ts" -o -name "*.js" \) -exec wc -l {} + | awk '{sum+=$1} END {print sum}'
Search for Jira references
grep -r "JIRA" . --include="*.md" --include="*.txt"
grep -r "jira.atlassian" . --include="*.md"
grep -r "dev.azure.com" . --include="*.md"
grep -r "visualstudio.com" . --include="*.md"
grep -r "github.com/.*/issues" . --include="*.md"
Naming conventions
More from claude-skill-registry
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About this skill
What does the brownfield-analyzer skill do?

Analyzes existing brownfield projects to map documentation structure to SpecWeave's PRD/HLD/Spec/Runbook pattern. Scans folders, classifies documents, detects external tools (Jira, ADO, GitHub), and creates project context map for just-in-time migration. Activates for brownfield, existing project, migrate, analyze structure, legacy documentation.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill brownfield-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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