ci-pipeline-synthesizer
Generates CI pipeline configs by analyzing a repo's structure, language, and build needs — GitHub Actions, GitLab CI, or other platforms. Use when bootstrapping CI for a new repo, when porting from one CI to another, when the user asks for a pipeline that builds and tests their project, or when wiring in security gates.
Install with Tessl CLI
npx tessl i github:santosomar/general-secure-coding-agent-skills --skill ci-pipeline-synthesizer100
Quality
100%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Discovery
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.
This is an excellent skill description that hits all the marks. It provides specific capabilities (generating CI configs, analyzing repo structure), uses natural trigger terms developers would actually say, includes an explicit 'Use when...' clause with multiple scenarios, and carves out a distinct niche in the CI/CD space that won't conflict with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Generates CI pipeline configs', 'analyzing a repo's structure, language, and build needs', names specific platforms 'GitHub Actions, GitLab CI'. Clear, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what ('Generates CI pipeline configs by analyzing...') AND when with explicit 'Use when...' clause covering four distinct scenarios: bootstrapping, porting, building/testing, and security gates. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'CI', 'pipeline', 'GitHub Actions', 'GitLab CI', 'builds and tests', 'security gates', 'bootstrapping CI', 'porting'. These match how developers naturally discuss CI/CD. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused specifically on CI/CD pipeline generation with distinct triggers like 'GitHub Actions', 'GitLab CI', 'pipeline', 'CI'. Unlikely to conflict with general coding or deployment skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an excellent skill that demonstrates how to write actionable, token-efficient guidance. It uses dense tables for detection logic, provides a complete worked example with reasoning, and includes explicit anti-patterns. The workflow is clear and the edge cases show thoughtful coverage of real-world scenarios.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every section earns its place—detection tables are dense reference material, the worked example is minimal but complete, and the 'Do not' section prevents common mistakes without over-explaining. No padding or concepts Claude already knows. | 3 / 3 |
Actionability | Provides concrete detection signals, exact commands per ecosystem, a complete executable YAML example, and a structured output format. The worked example is copy-paste ready and shows real decision-making (why --frozen, why 3.12). | 3 / 3 |
Workflow Clarity | Clear 3-step process (detect → choose platform → assemble) with explicit skeleton showing slot-filling order. Edge cases cover validation scenarios (existing CI config → don't overwrite, read and diff). The 'Do not' section acts as a validation checklist. | 3 / 3 |
Progressive Disclosure | Well-organized with tables for quick reference, a worked example for depth, and separate sections for edge cases and anti-patterns. Content is appropriately sized for a single file—no need for external references given the scope. | 3 / 3 |
Total | 12 / 12 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.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Reviewed
Table of Contents
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