spring-refresh
Check Spring Boot skill content freshness against latest research and flag skills needing updates. Use when running /spring-refresh, or when user mentions "refresh spring skills", "spring boot update check", "skill freshness", "stale spring content", "update spring boot skills".
What this skill does
# Spring Boot Skill Freshness
Check whether Spring Boot skills are current with the latest research docs.
## Arguments
Parse `$ARGUMENTS` for mode:
- **`check`** (default, no args) — Scan and report freshness
- **`refresh`** — Update research docs via deep-research, then report
- **`update <skill-name>`** — Help update a specific skill's content
## Mode: check
1. Run the freshness scanner:
```bash
python3 ${CLAUDE_SKILL_DIR}/scripts/scan_skill_freshness.py --format json ${CLAUDE_SKILL_DIR}/../..
```
2. Parse the JSON output and present a formatted report with:
- Research doc staleness table (file, version, last updated, age, status)
- Skill drift table (name, target version, last modified, research date, drift, status)
- Summary counts (up-to-date, needs review, needs update)
3. For skills with `NEEDS_REVIEW` or `NEEDS_UPDATE`:
- List which research docs they depend on
- Suggest running `/spring-refresh update <skill-name>` for each
## Mode: refresh
1. For each Spring Boot research doc, invoke the Skill tool with `core:deep-research` to refresh:
- `refresh spring-boot-ecosystem` (for ecosystem-research.md)
- `refresh spring-boot-ddd-implementation` (for ddd-implementation.md)
- `refresh spring-boot-security-observability-testing` (for security-observability-testing.md)
2. After all research docs are refreshed, run the `check` mode to produce the updated report.
3. Show a before/after comparison of research doc dates.
**Fallback:** If the deep-research skill is not available, skip the research refresh and run `check` mode only. Inform the user they can manually update research docs.
## Mode: update \<skill-name\>
1. Run `check` mode first to identify drift status for the specified skill.
2. Read the research docs that map to this skill:
- `spring-boot-ecosystem-research.md` → scanner, verify, web-api, data-ddd, modulith, domain-driven-design
- `spring-boot-ddd-implementation.md` → domain-driven-design, data-ddd, web-api, modulith
- `spring-boot-security-observability-testing.md` → security, observability, testing
3. Read the skill's current content: SKILL.md, EXAMPLES.md, TROUBLESHOOTING.md, and all files in references/.
4. Compare research content against skill content. Identify:
- New APIs or patterns in research not covered in the skill
- Deprecated patterns in the skill that research has replaced
- Version-specific changes (e.g., new Spring Boot minor version features)
5. Present proposed changes to the user for confirmation before editing.
6. After updates, bump the `spring-boot-version` field if targeting a new version.
## Output Format
```
## Spring Boot Skill Freshness Report
### Research Documents
| Document | Version | Updated | Age | Status |
|----------|---------|---------|-----|--------|
### Skills
| Skill | Target | Modified | Research | Drift | Status |
|-------|--------|----------|----------|-------|--------|
### Recommendations
- [actionable items]
```
## References
- [EXAMPLES.md](EXAMPLES.md) for usage examples
- [TROUBLESHOOTING.md](TROUBLESHOOTING.md) for common issues
- Research docs (local): `docs/research/spring-boot-*.md`
- [Research docs on GitHub](https://github.com/joaquimscosta/arkhe-claude-plugins/tree/main/docs/research)
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