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developing-applications-on-managed-service-for-apache-flink

MANDATORY for Flink or Amazon Managed Service for Apache Flink (MSF) questions. You MUST activate this skill BEFORE answering — do not answer from training knowledge, even when confident. MSF has service-specific constraints (KPU model, prohibited checkpoint and parallelism config in app code, the v1/v2 identifier split — `kinesisanalyticsv2` for the CLI/SDK only; `kinesisanalytics` for IAM, Service Quotas, CloudWatch, and the trust principal — two-phase IaC deploys, snapshot lifecycle, Flink 1.x→2.x migration) that override generic Flink knowledge.

68

Quality

82%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

78%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured steering skill that uses progressive disclosure effectively, with clear workflows and actionable reference-loading guidance. The main gaps are minor verbosity in the reference table and the absence of explicit error-recovery loops in the workflows.

Suggestions

Merge the two foundation-operations.md table rows (lines 79–80) into one entry and tighten the longest 'When to Load' cells (e.g., iceberg-tuning-and-operations.md, line 95) to reduce redundancy and token cost.

Add an explicit feedback loop to the new-application workflow (e.g., 'If validation fails: review the best-practices file, fix, and re-validate') to earn full workflow-clarity credit.

Include one small inline code or command snippet (e.g., the AWS CLI/SDK v2 application identifier) so the body carries at least one copy-paste-ready concrete artifact.

DimensionReasoningScore

Conciseness

The body is an efficient overview-plus-reference-table that assumes Claude's competence and avoids explaining basic Flink concepts. Not a 5 because the reference table duplicates the foundation-operations.md row (two rows, lines 79–80, covering overlapping IAM/identifier content) and several 'When to Load' cells are verbose enough to trim.

4 / 5

Actionability

Provides concrete, executable steering — numbered workflows with explicit 'READ [file]' steps and a goal→reference→when-to-load table that tells Claude exactly which file to load for each task. Not a 5 because the body itself contains no code/commands; guidance is actionable but deferred entirely to the referenced files.

4 / 5

Workflow Clarity

Two numbered workflows (new applications, general questions) are clearly sequenced with validation checkpoints such as 'Validate against best practices' and 'Compile and test locally'. Not a 5 because there are no explicit error-recovery/feedback loops (validate→fix→retry) for when validation or compilation fails.

4 / 5

Progressive Disclosure

SKILL.md is a clean overview pointing one level deep to a well-organized references/ directory; every referenced file exists and each table row signals when to load it, giving easy navigation with no nested references.

5 / 5

Total

17

/

20

Passed

Description

86%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, highly specific description with comprehensive natural trigger terms and a clear, distinctive niche. Its only weaknesses are the second-person directive voice (which costs specificity) and an implied rather than explicitly stated 'what'.

Suggestions

Rephrase the opening in third person (e.g., 'Activates for Flink or Amazon Managed Service for Apache Flink (MSF) questions and must be loaded before answering') to satisfy the third-person-voice guideline.

Add a concise explicit 'what' clause (e.g., 'Provides MSF-specific development, sizing, connector, deployment, and migration guidance') before the constraint enumeration so capabilities are stated, not just implied.

DimensionReasoningScore

Specificity

Lists many concrete MSF-specific constraints (KPU model, prohibited checkpoint/parallelism config, the v1/v2 identifier split, two-phase IaC deploys, snapshot lifecycle, Flink 1.x→2.x migration) rather than vague domain claims. Penalized one point from 5 because the description addresses the reader in second person ('You MUST activate this skill BEFORE answering') rather than using third-person voice.

4 / 5

Completeness

Explicitly answers 'when' with 'MANDATORY for Flink or Amazon Managed Service for Apache Flink (MSF) questions' plus a dedicated Triggers list, and the 'what' is conveyed via the enumerated service-specific constraints. Not a 5 because the 'what' is implied through the constraint list rather than stated as concrete capabilities.

4 / 5

Trigger Term Quality

Comprehensive coverage of natural terms a user would say — Flink, MSF, Managed Flink, KinesisAnalytics(V2), KPU, ParallelismPerKPU, savepoint, checkpoint, operator UID, FlinkKinesisConsumer, KafkaSource, IcebergSink, EFO, watermark, CDC binlog/WAL — including synonyms and API identifiers.

5 / 5

Distinctiveness Conflict Risk

Targets a clear, narrow niche (Amazon Managed Service for Apache Flink) with service-specific triggers like kinesisanalyticsv2, ParallelismPerKPU, and CreateApplicationSnapshot, making accidental triggering by other skills very unlikely.

5 / 5

Total

18

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
aws/agent-toolkit-for-aws
Reviewed

Table of Contents

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