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automating-database-backups

Automate database backup processes with scheduling, compression, and encryption. Supports PostgreSQL (pg_dump), MySQL (mysqldump), MongoDB (mongodump), and SQLite. Generates production-ready backup scripts with retention policies and restore procedures. Trigger: "automate database backups", "schedule backups", "create backup script", "disaster recovery". Use when working with automating database backups. Trigger with 'automating', 'database', 'backups'.

Quality

88%

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SKILL.md
Quality
Evals
Security

Quality

Content

82%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable and well sequenced, with concrete executable commands for every step, a real validation checkpoint, and a clean one-level-deep reference structure. Its weaknesses are templated padding in the Overview/Prerequisites/Examples tail sections, duplicated content between the body and reference files, and the absence of an explicit validation feedback loop.

Suggestions

Delete the '## Overview', '## Prerequisites', and '## Examples' tail sections: the Overview duplicates the frontmatter description, the Examples are generic filler, and Prerequisites mentions only PostgreSQL despite the skill covering four databases.

Add a feedback loop after Step 4: if backup_validator.py fails, instruct Claude to re-run the backup, check the error table, and only install the cron entry after validation passes — plus a step to test-execute the generated restore script once.

De-duplicate the Cron Schedule Reference table and Retention Policy example against references/cron_syntax.md and backup_best_practices.md, keeping only a pointer plus one inline example in SKILL.md.

DimensionReasoningScore

Conciseness

The bulk is lean, executable code and tables, but the trailing '## Overview' merely restates the description, '## Examples' is vacuous filler ('Apply automating database backups to a standard project setup with default configuration options'), and comments like '# 27017: MongoDB port' explain facts Claude already knows — trimmable padding rather than the pervasive verbosity of anchor 3.

4 / 5

Actionability

Copy-paste-ready Quick Start scripts for PostgreSQL, MySQL, and MongoDB plus fully-specified generator commands (e.g. 'python3 ${CLAUDE_SKILL_DIR}/scripts/backup_script_generator.py --db-type postgresql ...') for every workflow step; the cron table and error-handling table add concrete recovery commands, covering the common cases.

5 / 5

Workflow Clarity

Steps 1–5 are clearly sequenced (gather requirements → generate → schedule → validate → restore) with an explicit validation checkpoint (backup_validator.py), but there is no validate→fix→retry feedback loop and no step verifying that a restore actually works, matching 'clear sequence with most checkpoints present'.

4 / 5

Progressive Disclosure

A Resources section points to six real, one-level-deep reference files with descriptive labels, and all four referenced scripts exist; minor gaps remain since the inline cron table and retention examples duplicate references/cron_syntax.md and backup_best_practices.md, and Quick Start inlines per-engine commands that also appear in the per-engine reference files.

4 / 5

Total

17

/

20

Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: it states concrete capabilities with named per-engine tools, covers all four supported databases, and provides explicit trigger phrases plus a 'Use when' clause. The only weakness is trigger coverage that stops short of synonym-level terms like 'dump' or 'export'.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities — 'scheduling, compression, and encryption', 'retention policies and restore procedures' — and names the per-engine tools (pg_dump, mysqldump, mongodump), which is comprehensive coverage of the domain rather than just 'several actions with minor gaps'.

5 / 5

Completeness

Explicitly answers both 'what' (automates backup processes with compression/encryption/retention/restore for four named engines) and 'when' ('Use when working with automating database backups' plus concrete trigger phrases), matching the anchor-5 example structure.

5 / 5

Trigger Term Quality

Natural trigger phrases like "automate database backups", "schedule backups", "create backup script", and "disaster recovery" give good coverage, but common synonyms such as 'dump', 'export database', or 'backup retention' are missing, so it falls short of the comprehensive synonym-level anchor 5 while clearly exceeding anchor 3.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche — per-engine database backup automation with named tools — and its triggers are specific to that niche, so the risk of firing for an unrelated skill is minimal.

5 / 5

Total

19

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository

jeremylongshore/tons-of-skills-marketplace

Path

plugins/database/database-backup-automator/skills/automating-database-backups/SKILL.md

Reviewed

Table of Contents

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