cleanup-project

Project Cleanup Workflow

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Install skill "cleanup-project" with this command: npx skills add ar4mirez/samuel/ar4mirez-samuel-cleanup-project

Project Cleanup Workflow

When to Use

Trigger Description

Post-Initialization After initialize-project.md completes

Quarterly Maintenance Every 3 months as part of project hygiene

Pre-Release Before major releases to reduce deployment footprint

Size Threshold When .claude/ exceeds 1MB

Stack Change After removing a language/framework from the project

Prerequisites

Before starting cleanup:

  • Project has been initialized (CLAUDE.md exists or stack is clear)

  • No active development in progress that might need guides being pruned

  • Git working directory is clean (commit or stash changes first)

Process Overview

Step 1: Analyze Project Stack ↓ Step 2: Prune Unused Guides ↓ Step 3: Archive Stale Tasks ↓ Step 4: Consolidate Memory ↓ Step 5: Clean Patterns ↓ Step 6: Update Documentation ↓ Output: Leaner .claude/ directory

Step 1: Analyze Project Stack

1.1 Detect Active Languages

Scan project files to identify which languages are actually used:

File Language

package.json

TypeScript/JavaScript

tsconfig.json

TypeScript

requirements.txt , pyproject.toml , setup.py

Python

go.mod

Go

Cargo.toml

Rust

build.gradle.kts , *.kt

Kotlin

pom.xml , build.gradle , *.java

Java

*.csproj , *.sln

C#

composer.json

PHP

Package.swift , *.swift

Swift

CMakeLists.txt , Makefile , *.cpp , *.c

C/C++

Gemfile , *.rb

Ruby

pubspec.yaml

Dart

AI Action: List all detected languages based on project files.

1.2 Detect Active Frameworks

Check dependency files for framework usage:

Node.js/TypeScript (package.json dependencies):

  • react , react-dom → React

  • next → Next.js

  • express → Express

Python (requirements.txt , pyproject.toml ):

  • django → Django

  • fastapi → FastAPI

  • flask → Flask

Go (go.mod ):

  • github.com/gin-gonic/gin → Gin

  • github.com/labstack/echo → Echo

  • github.com/gofiber/fiber → Fiber

Rust (Cargo.toml ):

  • axum → Axum

  • actix-web → Actix-web

  • rocket → Rocket

(Continue for all language families)

AI Action: List all detected frameworks based on dependencies.

1.3 Generate Active Guides Manifest

Create .claude/active-guides.json :

{ "generated": "2025-01-15T10:00:00Z", "languages": [ "typescript" ], "frameworks": [ "react", "nextjs" ], "guides_kept": [ "skills/typescript-guide/SKILL.md", "skills/react/SKILL.md", "skills/nextjs/SKILL.md" ], "guides_archived": [ "skills/python-guide/SKILL.md", "skills/go-guide/SKILL.md", "..." ] }

AI Action: Create active-guides.json with detected stack.

Step 2: Prune Unused Guides

2.1 Identify Unused Guides

Compare existing guides against active-guides.json :

All Language Guides: 21 Active Languages: 1 (TypeScript) Unused Guides: 20 (95% reduction possible)

All Framework Skills: 33 Active Frameworks: 2 (React, Next.js) Unused Skills: 31 (94% reduction possible)

2.2 Archive Strategy (Recommended)

Move unused guides to .claude/.archive/ for potential future use:

Create archive directories

mkdir -p .claude/.archive/skills

Move unused language guide skills

mv .claude/skills/python-guide/ .claude/.archive/skills/ mv .claude/skills/go-guide/ .claude/.archive/skills/

... (all unused)

Move unused framework skills

mv .claude/skills/django/ .claude/.archive/skills/ mv .claude/skills/fastapi/ .claude/.archive/skills/

... (all unused)

2.3 Delete Strategy (Minimal Footprint)

For maximum reduction, delete unused guides entirely:

Delete unused language guide skills

rm -rf .claude/skills/python-guide/ rm -rf .claude/skills/go-guide/

... (all unused)

Delete unused framework skills

rm -rf .claude/skills/django/ rm -rf .claude/skills/fastapi/

... (all unused)

Note: Deleted guides can be restored from the template repository if needed later.

2.4 Always Keep

Never remove these files regardless of stack:

  • .claude/README.md

  • Directory documentation

  • .claude/skills/README.md

  • Skills index (language guides, framework skills, custom skills)

  • .claude/skills/*

  • All skills (stack-agnostic utilities and workflows)

AI Action: Execute chosen strategy (archive or delete). Report space saved.

Step 3: Archive Stale Tasks

3.1 Identify Stale PRDs

Find PRDs and task files older than 6 months:

Find PRDs older than 180 days

find .claude/tasks -name "*" -mtime +180 -type f

3.2 Check Status

For each old PRD, determine status:

Status Action

Completed Archive to .claude/tasks/ARCHIVE/

Abandoned Archive with ABANDONED- prefix

Active Keep in place (update modified date)

3.3 Archive Process

Create archive directory

mkdir -p .claude/tasks/ARCHIVE

Move completed/abandoned PRDs

mv .claude/tasks/0001-prd-old-feature.md .claude/tasks/ARCHIVE/ mv .claude/tasks/tasks-0001-prd-old-feature.md .claude/tasks/ARCHIVE/

For abandoned, rename with prefix

mv .claude/tasks/0002-prd-never-built.md .claude/tasks/ARCHIVE/ABANDONED-0002-prd-never-built.md

AI Action: Identify stale tasks, confirm status with user, archive appropriately.

Step 4: Consolidate Memory

4.1 Identify Old Memory Files

Find memory files older than 3 months:

Find memory files older than 90 days

find .claude/memory -name "*" -mtime +90 -type f

4.2 Create Quarterly Summary

Consolidate old memory files into quarterly summaries:

Q4 2024 Decision Summary

Overview

This file consolidates decisions from October-December 2024.

Key Decisions

Authentication Strategy (2024-10-15)

  • Chose JWT over sessions for stateless API
  • See: archived/2024-10-15-auth-strategy.md

Database Selection (2024-11-02)

  • Selected PostgreSQL over MySQL
  • See: archived/2024-11-02-database-choice.md

Caching Approach (2024-12-10)

  • Implemented Redis for distributed caching
  • See: archived/2024-12-10-caching-approach.md

Archived Files

  • 2024-10-15-auth-strategy.md
  • 2024-11-02-database-choice.md
  • 2024-12-10-caching-approach.md

4.3 Archive Individual Files

Create archive directory

mkdir -p .claude/memory/archived

Move old files

mv .claude/memory/2024-10-* .claude/memory/archived/ mv .claude/memory/2024-11-* .claude/memory/archived/ mv .claude/memory/2024-12-* .claude/memory/archived/

AI Action: Create quarterly summary, archive old memory files.

Step 5: Clean Patterns

5.1 Review patterns.md

If CLAUDE.md exists, review for:

  • Patterns referencing pruned languages/frameworks

  • Duplicate or similar patterns

  • Outdated patterns (superseded by newer approaches)

5.2 Remove Irrelevant Patterns

Example: If Python was pruned, remove Python-specific patterns:

Removed Patterns

<!-- Remove this section if Python pruned -->

Python Patterns

...

5.3 Consolidate Similar Patterns

Merge similar patterns across languages into generic versions where applicable.

AI Action: Review and clean patterns.md if it exists.

Step 6: Update Documentation

6.1 Update .claude/README.md

Add project-specific information:

.claude/ Directory

Project: MyApp Stack: TypeScript, React, Next.js Last Cleaned: 2025-01-15

Active Guides

  • Language: TypeScript
  • Frameworks: React, Next.js

Archived Content

See .archive/ for pruned guides (can be restored if stack changes).

6.2 Update active-guides.json

Ensure manifest reflects final state after cleanup.

6.3 Add to .gitignore (Optional)

If not tracking generated content:

Optional: Don't track cleanup artifacts

.claude/active-guides.json .claude/.archive/ .claude/memory/archived/ .claude/tasks/ARCHIVE/

AI Action: Update documentation to reflect cleaned state.

Output Summary

After cleanup, report:

Cleanup Summary

Space Reduction

  • Before: 2.4 MB
  • After: 156 KB
  • Saved: 2.24 MB (93% reduction)

Guides

  • Language guide skills: 21 → 1 (20 archived)
  • Framework skills: 33 → 2 (31 archived)

Tasks

  • Active PRDs: 3
  • Archived PRDs: 5

Memory

  • Active decisions: 4
  • Archived to quarterly: 12

Files Updated

  • .claude/README.md ✓
  • .claude/active-guides.json ✓

Restoration

If you need a pruned guide later:

From Archive

Restore from archive

mv .claude/.archive/skills/python-guide/ .claude/skills/ mv .claude/.archive/skills/django/ .claude/skills/

From Template Repository

Re-download language guide skill from template

curl -o .claude/skills/python-guide/SKILL.md --create-dirs
https://raw.githubusercontent.com/ar4mirez/samuel/main/.claude/skills/python-guide/SKILL.md

Re-download framework skill from template

curl -o .claude/skills/django/SKILL.md --create-dirs
https://raw.githubusercontent.com/ar4mirez/samuel/main/.claude/skills/django/SKILL.md

Update Manifest

After restoration, regenerate active-guides.json by re-running Step 1.

Automation (Future)

This workflow can be automated with a script:

#!/bin/bash

.claude/scripts/cleanup.sh

Run cleanup workflow

TODO: Implement automated detection and cleanup

Checklist

Before completing cleanup:

  • Active languages correctly identified

  • Active frameworks correctly identified

  • active-guides.json created

  • Unused guides archived/deleted

  • Stale tasks archived

  • Memory files consolidated

  • patterns.md cleaned (if exists)

  • README.md updated with project info

  • Space reduction reported

  • Git commit created (if desired)

Related Workflows

  • initialize-project.md - Run cleanup after initialization

  • troubleshooting.md - If cleanup causes issues

  • generate-agents-md.md - Regenerate AGENTS.md after cleanup

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

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