database-design
Design or review database schemas, indexes, constraints, and data access trade-offs before implementation hardens around weak persistence choices.
Skill by gclm
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/gclm-database-design
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: design, backend, data
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/database-design
What's inside
- Skill name
database-design- Description
- Design or review database schemas, indexes, constraints, and data access trade-offs before implementation hardens around weak persistence choices.
- License
- MIT
- Instructions
- 42 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- schema-checklist.md · references/
SKILL.md (first lines)
# Database Design Use this skill when a task changes persistence structure, query shape, indexing, or long-term data modeling. ## Read First - current schema, models, or migration files - query patterns and access paths - data integrity or retention constraints - `docs/reference/requirements.md` and `harness/state.md` if they exist - `harness/history.md` if it exists - `references/schema-checklist.md` when you need a stronger schema checklist ## Goals - choose a schema that matches actual query and mutation paths - make constraints and invariants explicit - surface index, migration, and compatibility implications early - avoid accidental coupling between application convenience and poor data design ## Steps 1. Restate the entities, relationships, and lifecycle rules. 2. Identify the dominant read and write paths. 3. Design the schema and constraints around those paths. 4. Consider indexing, integrity, and data-lifecycle implications. 5. Consider migration and backfill cost if the data already exists. 6. Report trade-offs rather than pretending there is only one valid shape. Read `references/schema-checklist.md` when you need a more detailed schema pass. ## Output Report: - entities and relationships - recommended schema shape - indexes and constraints - migration implications - trade-offs and risks
From gclm/super-stack, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 29, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/gclm/super-stack
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
database-design skill. Agent Mart. https://agentmart.dev/skills/gclm-database-design (last updated 2026-10-24)