Claude-skill-registry-data manage-localmemory

Local memory storage patterns, file coordination, and cleanup

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry-data

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry-data "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/manage-localmemory" ~/.claude/skills/majiayu000-claude-skill-registry-data-manage-localmemory && rm -rf "$T"

manifest: data/manage-localmemory/SKILL.md

source content

Memory Management Rules

Local Memory Storage

Location:
```
${PROJECT_ROOT}/.claude/.localmemory/
```
Purpose: Task progress and intermediate results
Scope: Local only - NEVER commit to git
Path Type: ALWAYS use absolute paths (never relative paths)

Folder Structure

Pattern:

${PROJECT_ROOT}/.claude/.localmemory/{action}-{module-identifier}/

CRITICAL: Always construct absolute paths using:

PROJECT_ROOT="$(git rev-parse --show-toplevel)"
MEMORY_PATH="${PROJECT_ROOT}/.claude/.localmemory/${action}-${moduleId}"

Where module-identifier is:

```
{vendor}-{module}
```
for simple modules
```
{vendor}-{suite}-{module}
```
when suite exists

Examples (where PROJECT_ROOT is your project's absolute path):

${PROJECT_ROOT}/.claude/.localmemory/create-github-github/

${PROJECT_ROOT}/.claude/.localmemory/update-amazon-aws-s3/

${PROJECT_ROOT}/.claude/.localmemory/fix-gitlab-gitlab/

Phase Output Files

Standard naming in memory folders:

phase-01-discovery.json
phase-02-scaffolding.json
phase-03-api-spec.json
phase-04-type-generation.json
phase-05-implementation.json
phase-06-testing.json
phase-07-documentation.json
phase-08-build.json
phase-09-validation.json
_work/                    # Working files

Context Passing

Each phase reads previous phase output
Each phase writes standardized output
Use JSON format for structured data
Include status and metadata

Important Notes

Memory folders created by first running task
No folder = work not started yet
Clean up after workflow completion
Never reference in production code