Conciseness

The body is dense and purposeful — a routing table instead of prose, terse MUST rules, no explanation of concepts Claude already knows. Minor trimmable redundancy: "You ARE the AI tool" appears in both the hand-over section and the Answer style section, and "installs separately from this skill" is stated in both the agents section and Scope notes; the freshness-note template is quoted in full. This matches the 'efficient; minor instances of over-explanation that could be trimmed' (4) anchor, not the every-token-earns-its-place (5) anchor.

Actionability

Guidance is fully executable for an instruction-only skill: exact paths (references/prompt-library.md, references/prompt-library/<slug>.md), a 20-row query→file routing table whose slugs all exist in the bundle, a copy-paste offer script, and a concrete update command (npx skills update prompt-library-for-startups). Specific examples cover the common cases, matching the 5 anchor.

Workflow Clarity

The hand-over workflow is a clear numbered sequence (read index → filter keyword → open detail file → surface prompt with run/adapt/copy → wait for the user's call) with explicit checkpoints: MUST read the detail file before quoting, at most one detail file per question, ask the user when several entries match, and the validation disclaimer before infrastructure/billing/security execution. No destructive or batch operations, so no cap applies.

Progressive Disclosure

SKILL.md is a lean overview with well-signaled references and the routing table shortcuts directly to verified detail files. However, the main path is two hops deep (SKILL.md → prompt-library.md index → prompt-library/<slug>.md detail), which falls short of the 'one-level-deep references' (5) anchor and fits 'good structure; most content appropriately placed; references mostly clear; minor organization gaps' (4).

Specificity

The description comprehensively enumerates concrete content categories — "MVP scaffolding, RAG chatbot with Claude on Bedrock, security baseline evaluation, cost anomaly detection, GPU quota requests, EKS deployment, Well-Architected review" — and names all five downloadable agents (Multi-Account Transition Advisor, Bill Shock Preventer, Service Quota Agent, Bedrock Model Availability Agent, AWS DB Advisor). This exceeds the 'several specific actions; minor gaps' (4) anchor with full coverage of the bundle.

Completeness

It explicitly answers both questions: what ("AWS-curated copy-paste prompts for AI coding agents ... plus downloadable installable agents") and when ("Use when the user asks for a prompt to do X on AWS, wants an installable agent ..., or asks how to use AWS prompts"), with concrete trigger phrases. It goes further than the 5 anchor by adding explicit negative triggers ("Do not use for: factual AWS Activate / programs / credits questions, learn articles, sample architectures...").

Trigger Term Quality

Natural trigger phrasings are well covered: "asks for a prompt to do X on AWS", "wants an installable agent for multi-account / cost monitoring / quota management / Bedrock model availability / database selection", "GCP to AWS", "Azure to AWS", "OpenAI/Gemini to Bedrock". A few natural user synonyms (e.g., "starter prompt", "Claude Code / Cursor prompt") are absent, matching the 'good keyword coverage; a few natural terms missing' (4) anchor rather than the comprehensive-synonyms (5) anchor.

Distinctiveness Conflict Risk

It carves out a clear niche (the AWS Startups prompt/agent library), routes adjacent migration intents to named sibling skills (gcp-to-aws, azure-to-aws, heroku-to-aws, llm-to-bedrock), and explicitly excludes factual AWS Activate/credits/learn-article questions — minimal conflict risk with neighboring skills.