Conciseness

At 507 lines (~61KB) loaded on every turn, the body is noticeably verbose: the Generate opt-in consent rule is stated at least four times (state machine generate/decide-complete/legacy-generate rows, the 'Generate is opt-in (HARD RULE)' paragraph, and deterministic step 6), the workshop-resume rule appears in both the table and step 2, and BigQuery guidance is repeated across Philosophy, the conditional table, and Workflow step 10. Substantial policy detail that the skill's own Context Loading Rules would place in conditional references is inlined instead — the ~45-line Contextual offers section, the ~30-line corrupted-state reconstruction heuristics, and the full hybrid-stack warning prompt — matching anchor 2 ('noticeably verbose; several unnecessary... padded sections') rather than the mostly-efficient anchor 3.

Actionability

Guidance is fully executable: copy-paste bash probes ('uv --version 2>/dev/null || echo "UV_MISSING"'), a literal .phase-status.json schema, exact error strings to output ('Unrecognized phase: [value]. Valid phases: ...'), a deterministic state-transition table with JSON-path conditions, exact file paths per phase, and precise accuracy ranges (±5-10% infra, ±15-25% Bedrock). It matches anchor 5 — concrete commands and specific examples covering the common cases — with no vague-only direction.

Workflow Clarity

The six-phase process has an exact mandated sequence (Workflow Execution steps 1-10), explicit validation checkpoints (HANDOFF_OK/GATE_FAIL fail-closed gates, 'Confirm all required output files exist with correct schema', validate-artifacts.md, validate-migration-report.md with exit-code handling, POLICY_OK policy gate), and error-recovery feedback loops (GATE_FAIL handling, corrupted-state reconstruction with user confirmation, re-entry reset rules). This matches anchor 5's explicit-validation-plus-feedback-loops profile; validation for the batch artifact-generation operations is thoroughly present, so no cap applies.

Progressive Disclosure

The structure is genuinely good — one orchestrator with per-phase reference files, an explicit conditional-loading table keyed to JSON conditions, a stated ~800-line per-phase budget, a design-refs index, and a full file tree — but scored against the actual bundle it has real gaps: the 'Files in This Skill' tree is out of sync with disk (omits discover-openrouter-api.md, discover-anthropic-api.md, discover-preview.md, design-refs/security.md, generate-artifacts-report.md, several shared/ files, and the whole vendored/clarify/ directory), cross-bundle paths (../knowledge-base-for-startups/..., ../contextual-offers-for-startups/..., $PLUGIN_ROOT/...) are unresolvable from this bundle, and ai-gemini-to-bedrock.md exists in both design-refs/ and vendored/ai/. This is anchor 4 ('good structure... minor organization gaps') rather than the clean easy-navigation anchor 5.

Specificity

The description lists multiple concrete actions with comprehensive coverage: 'Migrate GCP workloads to AWS, including AI and agentic workloads from any provider', 'Discovery uses the authenticated read-only `gcloud` CLI, Terraform, app code, or billing exports', 'Runs Discover, Clarify, Design, Estimate, Generate, and Feedback', plus concrete service mappings (Cloud SQL to RDS, GKE to EKS). It matches the anchor 'Lists multiple specific concrete actions; comprehensive coverage' and is clearly above the minor-gaps anchor 4; it uses third-person voice with no fluff.

Completeness

Both 'what' (migrate GCP workloads to AWS; discovery via gcloud/Terraform/app code/billing; six-phase pipeline) and 'when' (explicit 'Triggers on:' clause with concrete phrases) are clearly and explicitly answered, and it adds 'when not' guidance ('Do not use for Azure migrations... reverse migrations, general AWS architecture without migration intent, or GCP-to-GCP refactoring'). This exceeds anchor 4's 'when could be more explicit' and matches anchor 5.

Trigger Term Quality

Trigger phrases are natural user utterances with synonym variation: 'migrate from GCP, GCP to AWS, move off Google Cloud, Cloud SQL to RDS, GKE to EKS, Cloud Run to Fargate, App Engine to Elastic Beanstalk, or OpenAI/Gemini/agentic workloads to Bedrock' covers the explicit phrase, the abbreviation form, and a colloquial synonym. This matches the comprehensive-synonyms anchor 5 rather than the few-terms-missing anchor 4.

Distinctiveness Conflict Risk

The GCP-to-AWS niche is clear and it explicitly disambiguates the closest sibling ('Do not use for Azure migrations (see azure-to-aws)') with distinct service-pair triggers. However, the trigger 'OpenAI/Gemini/agentic workloads to Bedrock' would also naturally fire for users with non-GCP AI workloads (e.g., a dedicated llm-to-bedrock-style skill), creating minor overlap risk with closely related skills — anchor 4 rather than the minimal-conflict anchor 5.