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aws-lambda-durable-functions

Builds resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like lambda durable functions, durable execution, workflow orchestration, state machines, retry/checkpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, reliable serverless applications, context.step, context.wait, context.invoke, context.runInChildContext, withDurableExecution, DurableContext, UnrecoverableInvocationError, durable-execution-sdk, qualified ARN invocation, and durable handler replay.

70

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

72%

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

The content is a well-structured, actionable overview with excellent progressive disclosure and concrete executable examples, but it is moderately verbose and, being reference-style rather than procedural, lacks explicit sequenced workflow feedback loops in the body. Tightening the keyword trigger lists and consolidating the duplicated replay-violation rules would raise conciseness.

Suggestions

Consolidate the replay-violation rules so they appear once: Critical Rules items 4-6 and Validation Guidelines items 1-4 overlap heavily; keep them in one checklist and cross-reference.

Trim the long inline keyword lists in 'When to Load Reference Files' (especially the troubleshooting line) to 3-5 representative triggers per reference; the exhaustive enumeration inflates tokens without aiding navigation.

Add a short explicit validate->fix->retry loop for code changes (e.g., run LocalDurableTestRunner, fix violations, re-run) to raise workflow_clarity toward a sequenced feedback model.

DimensionReasoningScore

Conciseness

The body assumes Claude's competence (no basic-concept preamble) and offloads detail to references, but the keyword-stuffed 'When to Load Reference Files' lists and the repeated replay-violation rules (Critical Rules 4-6 restated in Validation Guidelines 1-4) could be tightened, so it is 'mostly efficient but could be tightened' rather than lean.

2 / 3

Actionability

Provides fully executable TypeScript and Python handler examples with real imports, concrete valid/invalid aws lambda invoke commands, and specific IAM permission names, matching the 'fully executable code/commands; copy-paste ready' anchor rather than pseudocode.

3 / 3

Workflow Clarity

Validation Guidelines supply review checklists ('ALWAYS check for these replay model violations'), but the skill is a reference/rules document rather than an ordered procedural workflow, and the body lacks an explicit validate->fix->retry feedback loop, leaving checkpoints implicit per the cap guidance.

2 / 3

Progressive Disclosure

The body is a concise overview with intent-triggered, one-level-deep links to 11 real reference files, all of which exist under references/; content is appropriately split and navigation is explicit, matching the 'clear overview with well-signaled one-level-deep references' anchor.

3 / 3

Total

10

/

12

Passed

Description

100%

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

The description is specific, distinctive, and explicitly provides both capability statements and a 'Triggers on phrases like...' clause, answering what and when. It is strong overall, with the only weakness being keyword stuffing of internal API symbols in the trigger list, which slightly dilutes conciseness without harming specificity or completeness.

DimensionReasoningScore

Specificity

Enumerates multiple concrete capabilities (state persistence, retry logic, orchestration, replay model, wait/callback patterns, saga-pattern error handling, LocalDurableTestRunner), matching the 'lists multiple specific concrete actions' anchor rather than the partial coverage of score 2.

3 / 3

Completeness

Clearly answers 'what' (builds resilient long-running multi-step applications with the listed capabilities) and 'when' via the explicit 'Triggers on phrases like...' clause, satisfying the equivalent of a 'Use when...' trigger rather than leaving 'when' implied.

3 / 3

Trigger Term Quality

Natural phrases users would say (lambda durable functions, durable execution, workflow orchestration, saga pattern, human-in-the-loop callbacks) are well covered; the appended API symbols are keyword padding but do not undercut the strong natural-term coverage, so it stays above score 2.

3 / 3

Distinctiveness Conflict Risk

The AWS Lambda durable functions niche with distinctive SDK symbols (DurableContext, withDurableExecution, UnrecoverableInvocationError, qualified ARN invocation) is clearly delimited and unlikely to overlap with unrelated skills.

3 / 3

Total

12

/

12

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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