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Document completed work with vector database indexing. Use `/log-work` after completing any significant task (feature, bug fix, refactoring, configuration change) to record what was done, decisions made, and files changed.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | work-logger |
| description | Document completed work with vector database indexing. Use `/log-work` after completing any significant task (feature, bug fix, refactoring, configuration change) to record what was done, decisions made, and files changed. |
| user_invocable | true |
Index completed work for future context retrieval via semantic search.
When to use: Execute /log-work after every meaningful work unit (features, bugs, refactors, config changes).
uv run .claude/skills/work-logger/scripts/create_template.py \
--description "short-description" \
--type feature|bugfix|refactor|docs|config
Output: private-docs/work-logs/YYYY-MM-DD-short-description.md
Edit the generated file:
tags (YAML array) and files_changedsummary, Title, and all sectionsuv run .claude/skills/sqlite-vectordb/scripts/add_entry.py \
--file "private-docs/work-logs/YYYY-MM-DD-short-description.md" \
--summary "One-line summary" \
--tags "tag1,tag2"
CLAUDE.mdValid usage:
# Step 1: Generate
uv run .claude/skills/work-logger/scripts/create_template.py \
--description "add-user-auth" --type feature
# Step 2: Edit private-docs/work-logs/2026-01-16-add-user-auth.md
# Step 3: Index
uv run .claude/skills/sqlite-vectordb/scripts/add_entry.py \
--file "private-docs/work-logs/2026-01-16-add-user-auth.md" \
--summary "Implemented OAuth2 user authentication" \
--tags "auth,oauth,security"
Explore and debug .screenize project packages. Lists projects, reads project.json, summarizes event streams, displays timeline segments, and shows recording statistics.
Fetch a GitHub issue and create a detailed implementation plan. Use when given a GitHub issue URL or number to analyze the issue, explore relevant codebase areas, and produce a step-by-step implementation plan with file changes, architecture considerations, and risk assessment.
SQLite vector DB for work log storage and semantic search. Use for indexing work logs, generating embeddings, semantic search, and DB maintenance.