Conciseness

The body is dense operational state-machine prose rather than padded tutorials — no explaining of concepts Claude already knows — but several sections could be tightened: the "$PLUGIN" fallback paragraph, the Gate 2 paragraph's nested conditionals ("only when … or … on build_deploy only … OR when …"), and the ~55-line "Contextual offers" section with its long nested parentheticals. This matches anchor 3 ("mostly efficient but includes some unnecessary explanation or could be tightened") better than anchor 4, since more than minor trimming is possible.

Actionability

Guidance is highly concrete and executable for an orchestration skill: exact file paths ("begin at references/phases/intake/intake.md"), a checkable prerequisite command ("uv --version"), a full .phase-status.json example with status values, precise gate conditions keyed to named state fields, and a read-merge-write update discipline. It sits just under anchor 5 because several instructions resolve only by chaining into phase files (e.g. "generate.md Step 5.5", "migration-plan.md Step -1") and into sibling-skill files outside this bundle, so the SKILL.md alone is not fully self-executing.

Workflow Clarity

The backbone sequence is explicit (intake → … → complete), entry-point routing enumerates each path, and validation is prominent: the phase gate ("Do NOT load design.md … unless … phases.clarify == 'completed' AND phases.confirm == 'completed'"), the recommendation_reviewed precondition for all gates, schema/run_id validation of verification evidence, and resumability via persisting poc=in_progress before loading. It misses anchor 5 because the Gate 2 offer conditions in particular are a tangled multi-clause paragraph that a reader must unpack, and some checkpoint details live implicitly in the referenced phase files.

Progressive Disclosure

Bundle structure is exemplary: a Files table mapping every reference to its purpose, phases split one per directory, per-topic decision-refs, per-runtime JSON profiles, and a vendored INTERPRETER.md as the single execution contract — and spot checks confirm all listed paths (phases/, decision-refs/, runtimes/, vendored/dsl/INTERPRETER.md, scripts/scoring.py, scripts/schemas/seed.json) exist. It falls short of anchor 5 because the 206-line body is itself a dense controller (the Contextual-offers closing step in particular is inline procedural content that belongs in its own reference file), and it depends on sibling-bundle files (../knowledge-base-for-startups/references/offers.md, ../contextual-offers-for-startups/SKILL.md, ../architect-for-startups/…) that are not part of this skill's bundle.

Specificity

The description lists several concrete actions — "pick a runtime", "plan a migration for existing workloads", "build an executable POC — one phased flow", and add AgentCore capabilities — which names the domain and multiple specific operations. It stops short of anchor 5 because the capability list omits deliverables like the layered recommendation doc, cost estimate, and diagram that the skill actually produces, leaving minor gaps in coverage.

Completeness

It explicitly answers both questions: the "what" up front ("Entry point for AI-agent work on AWS: pick a runtime, plan a migration for existing workloads, and build an executable POC") and the "when" via a literal "Triggers on:" clause plus a "Not for:" exclusion list with redirects to sibling skills. This matches anchor 5's requirement of concrete trigger phrases for both what and when; anchor 4 would require the "when" to be less explicit than it is.

Trigger Term Quality

Trigger coverage is comprehensive and natural: "which runtime for my agent", "AgentCore vs ECS vs EKS vs Lambda", "AgentCore vs Lambda MicroVMs", "deploy an AI agent on AWS", "I have an agent idea what do I build", "move/migrate my agents to AWS", "Temporal Cloud vs self-hosted" — covering synonyms, product-name variations, and phrasings users would actually type. It clearly exceeds anchor 4 ("a few natural terms missing") since both casual and expert phrasings are present.

Distinctiveness Conflict Risk

The niche is sharply defined (AI-agent runtime decisions on AWS) and it proactively de-conflicts by redirecting near-misses to named siblings ("redirected to gcp-to-aws / heroku-to-aws / llm-to-bedrock", "pure LLM SDK rewrite (use llm-to-bedrock)"). Named AWS products (AgentCore, Lambda MicroVMs, Temporal) give it distinct trigger tokens, matching anchor 5's clear-niche/minimal-conflict standard.