Analyzing Architecture (Well-Architected Review)
SkillMonitoring & opsLets your agent review a Salesforce project's code and metadata and grade it against architecture best practices.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Analyzing Architecture (Well-Architected Review) skill
About this skill
Use when the developer asks to \"review the architecture\", \"run a Well-Architected check\", \"audit this project\", \"is this project well-architected?\", or wants to assess security/governor-limit/risk as a holistic code-and-metadata health report. Grades observable criteria (sharing/FLS, bulkifi
What this skill tells your AI
The instructions your AI receives, as published by forcedotcom/sf-skills in plugins/builder/salesforce-code-quality/skills/platform-architecture-analyze/SKILL.md and read by ahel’s review.
Grade a Salesforce DX project against the Salesforce Well-Architected framework and produce an honest, evidence-backed report: a pillar-scored table for what's observable in code and metadata, plus a human checklist for the governance/process concerns a local repo can't reveal.
This skill is an orchestrator. It does not re-implement static analysis — it drives the analysis skills the plugin already ships and maps their output onto the Well-Architected pillars. It is read-only: it grades and recommends; it never edits, deploys, or deletes.
It also backs the architecture-review agent, which runs this exact workflow as a dedicated read-only reviewer. Invoke the agent for an end-to-end review; use this skill directly when you want the workflow inline in the current session.
Capability resolution
- Skill-orchestrated review (this skill) — runs the observable checks by delegating to existing skills/MCP tools, scores each sub-pillar, and emits the manual checklist.
- Direct CLI / grep — used only for the lightweight structural signals the rubric names (sharing keywords, legacy-tech file types, deploy strategy). Fine standalone, but skips the pillar scoring and the governance checklist this skill provides.
- API — not applicable.
The rubric (read these first)
Before scoring, read the three reference files — they are the source of truth:
references/well-architected-rubric.md— the full pillar → sub-pillar → criteria tree, each criterion tagged[observable]or[manual].references/observable-checks.md— each[observable]criterion mapped to its detection (skill / MCP tool / grep pattern) and the anti-pattern it flags.references/manual-review-checklist.md— the[manual]criteria as a copy-pasteable governance checklist.
Workflow
Step 1 — Scope the project
# Package directories + API version
cat sfdx-project.json
Establish:
- Package dirs (from
packageDirectories[].path) — where the source lives. - Inventory — count Apex classes, triggers, LWC bundles, Aura, Flows, objects:
find <pkgdir> -name '*.cls' | wc -l find <pkgdir> -name '*.trigger' | wc -l find <pkgdir> -name '*.js-meta.xml' | wc -l # LWC bundles - Tooling signals — does the repo have tests (
*Test.cls,__tests__/), CI (.github/workflows/), linting (.eslintrc*,.prettierrc*), apackage.xmlvs source/package strategy? - Org connection —
sf org display --jsonsucceeds → org-dependent checks (OWD, permission sets) are in play; otherwise mark them manual.
Record the scope line for the report header.
Step 2 — Run the observable checks (delegate; don't re-scan)
Work through references/observable-checks.md. For the heavy lifting, delegate:
- Apex security + performance →
dx-code-analyzer-run. It runssf code-analyzerand classifies findings by severity. Map its rules onto the rubric:ApexSOQLInjection,ApexCRUDViolation,ApexInsecureEndpoint,ApexBadCrypto→ SecureApexSharingViolations→ Secure (sharing) / Composable (separation)OperationWithLimitsInLoop,OperationWithHighCostInLoop→ Reliable / AutomatedAvoidDebugStatements→ Automated
- Inline SOQL parse + selectivity, compile-level diagnostics →
platform-lsp-integrate(apex_diagnostics,lwc_diagnostics,check_soql_selectivity) whenlsp_healthis green → Reliable / Automated. - OWD / sharing model / permission sets →
platform-metadata-retrieve+sf orginspection, only if an org is connected → Secure.
For the lightweight structural signals, grep directly (patterns in references/observable-checks.md), e.g.:
# Secure — classes missing a sharing keyword
grep -rLE 'with(out)? sharing|inherited sharing' --include='*.cls' <pkgdir>
# Intentional — legacy tech still present
find <pkgdir> -name '*.workflow-meta.xml' -o -name '*.flowDefinition-meta.xml'
grep -rl '@future' --include='*.cls' <pkgdir>
# Composable — deploy strategy
ls manifest/package.xml 2>/dev/null # package.xml-driven (anti-pattern past PoC)
grep -l '"path"' sfdx-project.json # source/package strategy
# Composable — runtime config in custom settings vs CMT
find <pkgdir> -path '*objects*' -name '*.object-meta.xml' | xargs grep -l 'CustomSetting' 2>/dev/null
Collect every finding with file:line evidence. A check with no evidence is not a pass and not a fail — it's "not observable" and moves to the manual checklist.
Step 3 — Score each observable sub-pillar
Assign ✅ / ⚠️ / ❌ per sub-pillar using the thresholds in references/observable-checks.md:
- ✅ no anti-patterns found in the observable checks for that sub-pillar.
- ⚠️ low/moderate findings, or only some criteria observable.
- ❌ critical/high findings (e.g. SOQL injection, FLS bypass, SOQL-in-loop at scale).
Then roll the sub-pillar verdicts up to a pillar verdict (worst-of, with a note).
Step 4 — Emit the manual checklist
Copy the [manual] criteria from references/manual-review-checklist.md into the report as unchecked items, grouped by pillar. Label the section clearly: "not auto-graded — assess with your team." Do not guess at these; the point is to hand the developer a structured governance checklist, not to fake a score.
Step 5 — Report
Produce one report using the format below. Lead with pillar verdicts, then observable findings (Trusted/Secure first — never bury security under style), then the manual checklist, then recommended next steps that name the skill which would apply each fix.
Well-Architected Review — <project name>
Scope: <pkg dirs>, <N classes / M triggers / K LWC>, tests: <y/n>, CI: <y/n>, org: <connected alias / none>
PILLAR VERDICTS
🛡️ Trusted <✅|⚠️|❌> (Secure …, Compliant …, Reliable …)
⚡ Easy <✅|⚠️|❌> (Intentional …, Automated …, Engaging …)
🔁 Adaptable <✅|⚠️|❌> (Resilient …, Composable …)
OBSERVABLE FINDINGS (graded from code + metadata)
Sub-pillar | Verdict | Finding | Evidence (file:line / tool)
MANUAL REVIEW (not auto-graded — assess with your team)
[ ] <item> …
RECOMMENDED NEXT STEPS
- <highest-signal fix> → via `<skill>`
Examples
Example 1 — "Is this project well-architected?"
Scope the project, run all observable checks (delegating Apex analysis to dx-code-analyzer-run), score all three pillars, emit the full manual checklist, and report. This is the default full review.
Example 2 — "Review my project's security and governor-limit risk"
Narrow to the Secure and Reliable/Automated sub-pillars: run dx-code-analyzer-run with a security + performance selector, use platform-lsp-integrate check_soql_selectivity for selectivity, grep for missing sharing keywords. Score those sub-pillars; still emit the Secure/Compliant manual items (security matrix, encryption strategy). Skip the Adaptable deep-dive unless asked.
Example 3 — "Run a Well-Architected check before we package this for release"
Full review, weighting Composable (packageability — CMT vs custom settings, loose coupling, LATEST aliasing, no package.xml-driven deploys) and Resilient (source-tracked, CI, no failed deploys). Lead the report with the packageability readiness verdict.
Failure modes
| Symptom | Cause | Recovery |
|---|---|---|
dx-code-analyzer-run reports the analyzer isn't installed | Code Analyzer v5 missing | Note it in the report; fall back to grep-based structural checks for Apex and mark PMD-only criteria "not observable". |
sf org display fails | No org connected | Mark OWD / permission-set / org-metadata criteria as manual; grade only file-based criteria. |
LSP tools return lsp_disabled / no_apex_workspace | LSP off or no workspace | Skip the LSP-grounded checks; rely on dx-code-analyzer-run + grep. Note the gap. |
No sfdx-project.json | Not an SFDX project | Stop — this skill reviews SFDX projects. Tell the developer. |
| Huge repo, scan is slow | Project-wide PMD + graph build | Scope dx-code-analyzer-run to the package dir; note that cross-file (sfge) findings may be partial. |
Rules
- Read the three
references/*.mdfiles before scoring — the rubric is the source of truth. - Delegate observable detection to existing skills/MCP tools; grep only for the lightweight structural signals the rubric names.
- Every observable finding carries
file:line(or tool-result) evidence. No evidence → manual checklist, not the scored table. - Never score a
[manual]governance criterion from inference — list it for human review. - Read-only: recommend fixes and name the skill that applies them (
platform-apex-generatefor Apex authoring / trigger refactoring); never edit, deploy, or delete. - Lead with Trusted/Secure findings; don't bury security under style nits.
- Surface zero-finding sub-pillars briefly ("no issues found in observable checks") rather than omitting them.
Signals
- GitHub stars
- 1k
- Forks
- 351
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
platform-architecture-analyze- Source
- github.com/forcedotcom/sf-skills
github.com/forcedotcom/sf-skills
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