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Nw Hotspot

nwave-ai/nw-hotspot

Git change frequency hotspot analysis — find the most-changed files in your codebase

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how many repositories repackaged it
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on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/nWave-ai/nWave --skill nw-hotspot

The instruction itself

21 sections, as written by the author

NW-HOTSPOT: Code Crime Scene Hotspot Lens

Wave: CROSS_WAVE

Execution: Inline (no agent — Claude executes git commands directly)

Inspiration: Adam Tornhill's "Your Code as a Crime Scene"

Overview

Analyze git change frequency to identify the most-changed files in a codebase. Pure git churn — no complexity metrics. Use as a pre-filter to scope analysis or a post-filter to prioritize existing findings.

How It Works

Run git log --name-only over the configured time period, count commits per file, rank by frequency.

Modes

1. Analyze (default)

Show the most-changed files in the repo. Output is inline only — no files persisted.

/nw-hotspot
/nw-hotspot --top=20
/nw-hotspot --since=12m

Steps:

  • Run: git log --since={since} --format=format: --name-only | sort | uniq -c | sort -rn
  • Exclude deleted files (verify each file still exists with test -f)
  • For each file, get last changed date: git log -1 --format="%ar" -- {file}
  • Display ranked table (top N):
 Rank │ Commits │ Last Changed │ File
──────┼─────────┼──────────────┼─────────────────────────
    1 │      87 │ 2 days ago   │ src/services/payment.ts
    2 │      64 │ 1 week ago   │ src/api/controllers/user.ts
    3 │      51 │ 3 days ago   │ src/models/order.ts
  • Show summary: total files changed in period, time period, top N shown

Defaults: --top: 15, --since: 6 months

2. Rank (post-filter)

Overlay churn data on an existing analysis report to prioritize findings.

/nw-hotspot --rank code-smell-detector-report.md

Steps:

  • Run the same git churn analysis
  • Read the specified report file
  • Extract file paths mentioned in the report
  • Annotate each file with its commit count
  • Re-sort findings by churn (highest first). Findings without extractable file paths go at the bottom.
  • Show noise reduction: "X of Y findings are in low-churn files (< 20 commits)"

3. Detail (deep-dive)

Deep-dive into a single file's change history.

/nw-hotspot --detail src/services/payment.ts

Steps:

  • Monthly commit breakdown over the period
  • Top contributors to the file
  • Co-change coupling: top 5 files that frequently change alongside this one
  • Last 10 commit messages for context

4. JSON export (pre-filter composition)

/nw-hotspot --top=10 --json

Output: [{"path": "src/services/payment.ts", "commits": 87, "last_changed": "2 days ago"}, ...]

Parameters

| Flag | Default | Description |

|------|---------|-------------|

| --top | 15 | Number of files to show |

| --since | 6m | Time period (e.g., 3m, 12m, 2024-01-01) |

| --json | false | Output as JSON array |

| --rank | - | Path to existing report to re-rank by churn |

| --detail | - | Path to single file for deep-dive |

Edge Cases

  • No commits in period: Display "No commits found since {date}" rather than an empty table
  • File renames: Counted as separate files (no --follow; keeps it simple and fast)
  • Empty repo / not a git repo: Display error and exit

Usage from Other Skills

Pre-filter (scope downstream analysis)

Run /nw-hotspot --top=10 --json first, then pass the file list to:

  • code-smell-detector: "Analyze only these files: {hotspot list}"
  • cognitive-load-analyzer: "Focus analysis on these files: {hotspot list}"
  • refactoring-expert: "Prioritize recommendations for these files"

Post-filter (rank existing findings)

Run /nw-hotspot --rank {report.md} after any analysis to prioritize by churn.

In nWave workflows

  • Before /nw-refactor — identify which files to refactor first
  • Before /nw-review — focus review effort on high-churn areas
  • Before /nw-root-why — check if the problematic area is a known hotspot

Next Wave

Usage Context: Inline utility, composable with any analysis skill

Handoff To: Invoking context (no sequential handoff)

Examples

Example 1: Quick scan of a legacy codebase

/nw-hotspot

Example 2: Scope a code smell analysis to hotspots

/nw-hotspot --top=10 --json

Example 3: Prioritize an existing refactoring report

/nw-hotspot --rank code-refactoring-report.md

Example 4: Investigate a specific troubled file

/nw-hotspot --detail src/services/payment.ts

Expected Outputs

No persistent files. Output is displayed inline. JSON mode outputs a JSON array for composition with other tools.

How to use it

Copy the folder

Take nwave-ai/nw-hotspot from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.