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Ultra-Sharp Agent Skills — a research-first skill-authoring system + 72 production-ready skills for AI agents.

Python 100%

# db-skills — Database Management Skill Collection

Author: Simon-Pierre Boucher Contact: contact@spboucher.ai

Ten ultra-sharp database-management skills following the method in ../RESEARCH-SYNTHESIS.md, grounded in current practice (3NF-first design, measure-before-tuning with EXPLAIN ANALYZE / pg_stat_statements, index every foreign key, expand→migrate→contract zero-downtime migrations, 3-2-1 backups with restore drills). PostgreSQL is the default dialect; deviations for MySQL/SQLite are noted where they matter. All pass python3 ../tools/validate_skills.py.

# The collection and its boundaries

Skill Handles Explicitly does NOT handle
writing-sql-queries correct, readable, parameterized SQL; CTEs; window functions; NULL traps schema design → designing-database-schemas; tuning → optimizing-sql-performance
designing-database-schemas domain modeling, 3NF, keys, types, constraints, naming query writing; migration mechanics; NoSQL → modeling-nosql-data
optimizing-sql-performance EXPLAIN ANALYZE, indexes, plans, N+1, keyset pagination incidents → troubleshooting-databases; fresh schema design
managing-database-migrations versioned, immutable, reversible migrations; zero-downtime patterns target-schema design; one-off data fixes
backing-up-databases scheduled backups, logical vs physical, PITR, 3-2-1, restore drills HA/replication setup; migrations
securing-databases least-privilege roles, injection defense, secrets, TLS, RLS, auditing app-level auth (sessions/JWT); general firewalls
administering-postgresql roles, config knobs, autovacuum, monitoring, upgrades app query tuning; backup strategy
managing-sqlite WAL, pragmas, transactions, safe backup, type affinity server databases; generic SQL writing
modeling-nosql-data access-pattern-first modeling, embed vs reference, key design, TTL relational schemas; JSON columns in SQL databases
troubleshooting-databases incident triage runbook: connections → locks → slow queries → disk → replication proactive tuning; server configuration

# Shared conventions

  • Description = WHAT + "Use when …" (literal phrases) + "Do not use for …"
  • Measure before changing anything; capture evidence before restarting anything
  • One default per decision (tool, key type, journal mode) with an escape hatch
  • Every workflow ends with a validation step (test restore, rollback rehearsal, EXPLAIN before/after)
  • SKILL.md <150 lines; depth in references/patterns.md (with TOC)