database-schema-designer
Skill0 starsChanged 58 days agoLicence not identifiedView on GitHub
Design robust, scalable relational and NoSQL schemas: normalization, indexing strategy, foreign keys, and constraints.
26 other projects use a version of this, 11 of them edited.
Adopted by
Most recently taken up by
- darkweb19/skillstheir own version, first seen Nov 8, 2026
- kazemcodes/skill-treetheir own version, first seen Nov 8, 2026
- JPeetz/agent-skillstheir own version, first seen Oct 28, 2026
- imMamdouhaboammar/kaku-chatgpt-harnessedited, first seen Oct 25, 2026
- Samueladewole/claude-skillsedited, first seen Oct 13, 2026
- Tgoldi/claude-skillsedited, first seen Oct 13, 2026
Used with
Projects with it also use api-test-suite-builder, feedback-mastery and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Arnav-0Skillapi-test-suite-builder
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Also in 3 projects that use this
jeasonstudioSkillagent-md-refactor
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
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Use when the user asks to set up secret management infrastructure, integrate HashiCorp Vault, configure cloud secret stores (AWS Secrets Manager, Azure Key Vault, GCP Secret Manager), implement secret rotation, or audit secret access patterns.
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csiddhant796-blipSkillself-eval
Honestly evaluate AI work quality using a two-axis scoring system. Use after completing a task, code review, or work session to get an unbiased assessment. Detects score inflation, forces devil's advocate reasoning, and persists scores across sessions.
Also in 3 projects that use this
csiddhant796-blipSkillthreat-detection
Use when hunting for threats in an environment, analyzing IOCs, or detecting behavioral anomalies in telemetry. Covers hypothesis-driven threat hunting, IOC sweep generation, z-score anomaly detection, and MITRE ATT&CK-mapped signal prioritization.
Also in 3 projects that use this
- +1 more from csiddhant796-blip
- +1 more from Arnav-0
Other versions26 projects use a version of this.
Word for word · 0
None found.
Edited · 11
- meshery/meshery★ 12k98% same
- meshery/meshkit★ 23398% same
- kumaran-is/claude-code-onboarding★ 3525% same
- digitalspeed/claude-code-skillset★ 198% same
- Typeless-Git/skills★ 198% same
- dimsdeall/craftwhale★ 098% same
- imMamdouhaboammar/kaku-chatgpt-harness★ 098% same
- markky21/claude-skills★ 098% same
- nbirkner/digital-brain★ 098% same
- Samueladewole/claude-skills★ 098% same
1 more not listed
Wrote their own version · 15
- OneWave-AI/claude-skills★ 378same name
- nahisaho/MUSUBI★ 74same name
- Hassaan146/claude-skills★ 18same name
- JPeetz/agent-skills★ 14same name
- nek1987/auto-agent-harness★ 4same name
- csiddhant796-blip/claude-skills-collection★ 2same name
- Hussain-Elfalah/Agentic-Skills★ 2same name
- kazemcodes/skill-tree★ 1same name
- mahiunfiltered/claude-code-skills★ 1same name
- Nikoxkx/Agent-Skills★ 1same name
5 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 17 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 17 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

