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circleci-config

Optimize CircleCI configuration for speed, reliability, and maintainability. Use when users ask to improve `.circleci/config.yml`, reduce CI runtime, tune caching/workspaces/parallelism, remove pipeline waste, or fix flaky pipeline behavior caused by configuration choices.

68

Quality

81%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

70%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.

The content is well-structured and token-efficient with excellent progressive disclosure pointing to real reference files. Its weakness is actionability and workflow validation: it describes optimization at a conceptual level without executable YAML examples or explicit measure-change-revalidate feedback loops for a destructive/batch skill.

Suggestions

Add 1-2 executable YAML snippets showing a correct cache key (e.g. `keys: [{{ checksum "lockfile" }}-deps]`) and a workspace usage pattern, so guidance is copy-paste ready rather than conceptual.

Add an explicit validate-then-fix feedback loop to the Workflow's validation step: re-measure duration/pass rate after each change and revert if acceptance criteria are not met.

Specify the concrete command or method for capturing baseline metrics (e.g. `circleci tests run --split-by=timings`, job timings from the UI) in the 'Build a baseline' step.

DimensionReasoningScore

Conciseness

The body is lean and efficient — every section (Overview, Inputs, Workflow, Guardrails, Output Contract) earns its place with no explanation of concepts Claude already knows and no padding.

5 / 5

Actionability

The workflow gives concrete steps and specific config concepts (deterministic lockfile cache keys, narrow cache scopes) but provides no executable code, YAML snippets, or copy-paste commands — it instructs at a high level rather than showing exact config to write.

3 / 5

Workflow Clarity

A clear five-step sequence exists with a validation step ('Define expected metric changes and acceptance criteria'), but as a batch/destructive optimization skill it lacks explicit validate-then-fix feedback loops (e.g., measure → change → re-measure → revert), capping it at 3.

3 / 5

Progressive Disclosure

The body is a concise overview with four well-signaled one-level-deep references (`references/cache-optimization.md`, `persisting-data.md`, `test-results-and-splitting.md`, `patterns.md`), each tied to concrete trigger conditions; all referenced files exist in the bundle.

5 / 5

Total

16

/

20

Passed

Description

92%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.

The description is excellent: specific, comprehensive in capabilities, with an explicit 'Use when...' clause and clear distinctiveness for the CircleCI niche. Minor gap: a few natural synonyms (cost, cache hit rate) could strengthen trigger coverage.

DimensionReasoningScore

Specificity

The description names the domain (CircleCI config) and lists multiple concrete actions — improve `.circleci/config.yml`, reduce CI runtime, tune caching/workspaces/parallelism, remove pipeline waste, fix flaky behavior — giving comprehensive coverage of specific capabilities.

5 / 5

Completeness

It explicitly answers 'what' (optimize CircleCI config for speed/reliability/maintainability) and 'when' via a concrete 'Use when users ask to improve...' clause with multiple trigger phrases.

5 / 5

Trigger Term Quality

Strong natural keywords appear (`reduce CI runtime`, `flaky`, `caching`, `workspaces`, `parallelism`, `.circleci/config.yml`), but it is missing common synonyms like `CI cost`, `pipeline`, or `cache hit rate` that users might also say.

4 / 5

Distinctiveness Conflict Risk

The CircleCI-config niche is narrow with distinct triggers tied to `.circleci/config.yml`, CI runtime, and caching/parallelism; minimal overlap risk with unrelated skills.

5 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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