Beta Skill: This skill is in beta and under active development.
Results should be reviewed carefully before use in production.
Report issues at https://github.com/adobe/skills/issues
AEM as a Cloud Service — Code Assessment
Single skill for detecting and fixing AEM CS code-quality issues, entirely against the local workspace — no external services or network calls. Findings reach the runbook from one of two sources; everything downstream is identical.
Findings sources
| Source | When | Target versions (deps) |
|---|
| User-named | the user names files or coordinates | user-supplied |
| Discover | the user asks to scan, or names no files | user-supplied (per the pattern's resolution contract) |
Discovery runs through the deterministic analyzer (scripts/analyze.sh):
it parses the workspace once and runs the enabled detectors, emitting the shared findings shape.
Every ready pattern has an analyzer detector. Patterns without one are planned only — not yet
detectable and not yet built; there is no LLM-scan fallback in this version (see Scope &
limitations) — the scan value on planned rows in references/patterns.md
marks the intended future detection method, not an active code path.
Routing
- User named files / coordinates → run the runbook in
with_findings mode against those paths.
- "Scan my repo" / no files named → run the runbook in
discover mode (per-pattern Discovery, workspace roots only).
Then follow the runbook: references/runbook.md.
Manual Pattern Hints (classification → expert skill)
Route the request to one expert skill. Two pattern families share this skill:
Mechanical fixes (analyzer-driven detection, deterministic edits — follow the runbook flow):
| User said / saw | Expert skill |
|---|
"update aem sdk", "upgrade mockito", stale <version> or ${property} in pom | outdated-dependencies/ |
"fix @Inject", "modernize Sling Models", javax.inject.Inject on @Model fields | inject-in-sling-model/ |
"add HTTP timeouts", "outbound/external call has no timeout", HttpClient / HttpClients / OkHttpClient built without a timeout | outbound-call-timeouts/ |
"bound my query", "unbounded query", "query causing OOM", p.limit=-1, setLimit(-1) | unbounded-query/ |
Architectural migration patterns (guided remediation — full before/after, troubleshooting, modern alternatives; invoked directly or via migration for BPA/CAM-driven discovery):
| User said / saw | Expert skill | BPA pattern ID |
|---|
org.apache.sling.commons.scheduler.Scheduler or scheduler.schedule( with Runnable | scheduler/ | scheduler |
implements ResourceChangeListener, lightweight listener + JobConsumer | resource-change-listener/ | resourceChangeListener |
com.day.cq.replication.Replicator, org.apache.sling.replication.*, "publish/preview activation" | replication/ | replication |
javax.jcr.observation.EventListener, org.osgi.service.event.EventHandler on non-resource topics (replication, workflow, custom) | event-migration/ | eventListener / eventHandler |
com.day.cq.dam.api.AssetManager create/upload/delete APIs, createAssetForBinary, removeAssetForBinary | asset-manager/ | assetApi |
HTL build warning data-sly-test: redundant constant value comparison | references/data-sly-test-redundant-constant.md | htlLint (reference, no expert skill subdirectory) |
Broad / correctness-review asks ("check my Sling Models are implemented correctly", "review my code", "is my AEM project healthy", "assess this project") are not a single pattern: run the runbook in discover mode with intent report — the analyzer runs every detector and the report covers all built patterns, explicitly noting aspects not yet supported. Only narrow to one pattern when the user targets a specific fix.
If nothing matches, say the issue is not yet supported and offer to file a request for a new expert skill.
Full catalog (built + planned patterns, with severity / detection / fix): references/patterns.md.
Invocation from the migration skill
migration performs BPA/CAM/MCP discovery and handles batching + one-pattern-per-session workflow. After it has identified (pattern, file) pairs from BPA findings, it hands off here for the actual transformation. When invoked with (pattern, file) from migration:
- Skip HA/analyzer discovery (caller already identified the pattern + file)
- Open the pattern's expert skill directly (per the Manual Pattern Hints table above)
- Apply the steps in the expert skill against the named file(s)
- Return the result;
migration continues with the next finding in its batch
The pattern guides themselves are agnostic about who invoked them — they apply identically whether reached from migration (BPA/CAM) or from the runbook in this skill (HA / analyzer).
Runbook
All detection, planning, edits, verification, git/in-place handling, and the run log live in
references/runbook.md. The runbook is the sole owner of repo-environment
detection (edit_mode, git snapshot) — this control plane does not duplicate it.
One pattern per session
Report may span every pattern found; apply touches one pattern per session (atomic revert,
single-story diff). Refuse "fix everything" for the apply phase. Rationale:
references/shared-principles.md.
Critical rules
- Local only — no network calls or external services; operate solely on the workspace.
- Requires a local JDK (Java 11+) for detection — the analyzer compiles/runs in memory; no
install beyond the JDK, no network. If absent, detection stops with a clear message.
- The analyzer is detection — never substitute external tooling. Do not run
mvn versions:display-dependency-updates / mvn versions:display-property-updates,
npm outdated, or Maven Central / registry lookups in place of analyzer discovery. Those answer
"what is the latest on the network" — outside this skill's local-only contract. If the user
explicitly wants a live registry comparison, say it needs network and offer it as a separate step
after delivering the skill report.
- Never commit, push, or open a PR — branch (git) or in-place edits only; the developer reviews and commits.
- Surgical edits — no reformatting / re-serialization.
- Skip with a reason — record un-applicable findings as
skipped with an exact reason; never silently drop.
- One pattern per session for apply.
Full rationale: references/shared-principles.md.
Scope & limitations
Local static detection and remediation only — no external services, no network, no live AEM instance. Issues that require runtime or live-repository state, telemetry, or history across runs are out of scope for this skill.
Detection requires a local JDK (Java 11+); there is no remote or LLM-scan fallback in this version.
A large apply (e.g. an @Inject migration across 100+ files) is processed in resumable batches: the run checkpoints each file to .autofix/last-run.json and pauses at a per-pass cap, so it survives context limits — reply apply <pattern> to continue (see references/git-workflow.md).
Adding a new pattern
Full end-to-end procedure — detector → fixtures/tests → catalog + routing → expert skill → verify:
references/adding-a-pattern.md. The [wiring] test keeps the
detector, catalog row, and expert-skill directory in sync.
Triggering scales without touching the description. The description above is intentionally
broad (intent verbs + AEM domain), so it already fires on "check / review / fix my <AEM thing>";
a new pattern is reached by its Manual Pattern Hints + patterns.md rows, not by editing the
description. Update the description only if the new pattern introduces a domain keyword it does
not already cover (a new subsystem or file type). The [wiring] test keeps the detector, catalog
row, and expert-skill directory in sync.
Related skills
migration — drives BPA/CAM/MCP-based legacy-AEM migration workflow. Discovers findings, batches them, enforces one-pattern-per-session, and hands off (pattern, file) pairs to this skill for transformation. See the "Invocation from the migration skill" section above.