pantheon-ai/makefile-generator
Generate GNU Make build systems that define build targets, configure dependencies, set up phony targets, and implement parallel builds. Use when creating make/Makefile/.mk files, implementing compile rules, or building production-ready build automation for C/C++, Go, Python, and Java projects.
Overall
score
93%
Does it follow best practices?
Validation for skill structure
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 a well-crafted skill description that excels across all dimensions. It provides specific concrete actions, includes natural trigger terms that developers would use, explicitly states both capabilities and usage conditions, and carves out a distinct niche for GNU Make specifically. The description follows proper third-person voice throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'define build targets', 'configure dependencies', 'set up phony targets', and 'implement parallel builds'. These are precise, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what ('Generate GNU Make build systems that define build targets...') AND when ('Use when creating make/Makefile/.mk files, implementing compile rules, or building production-ready build automation'). Explicit 'Use when' clause with specific triggers. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'make', 'Makefile', '.mk files', 'compile rules', 'build automation', plus specific language contexts (C/C++, Go, Python, Java). These match how developers naturally describe their needs. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused specifically on GNU Make/Makefile build systems. The specific file extensions (.mk), tool name (GNU Make), and build-specific terminology distinguish it from general build tools, CI/CD skills, or other build systems like CMake or Bazel. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, production-ready skill with excellent workflow clarity and actionability. The 4-stage generation workflow with explicit validation requirements and language-specific patterns provides comprehensive guidance. Minor verbosity in some sections (particularly the 'When to Use' and lookup process explanations) prevents a perfect conciseness score, but the content is well-organized and appropriately structured for a complex multi-language build system skill.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but includes some verbose sections like the 'When to Use' list and extensive tables that could be condensed. The 'Overview' section and some explanatory text add tokens without proportional value, though most content is necessary for the complex workflow. | 2 / 3 |
Actionability | Provides fully executable code examples for all supported languages (C/C++, Go, Python, Java), complete Makefile headers, and copy-paste ready patterns. The language-specific build rules and standard targets are concrete and immediately usable. | 3 / 3 |
Workflow Clarity | Excellent 4-stage workflow (Gather Requirements → Documentation Lookup → Generate → Validate) with explicit validation checkpoints, pass criteria tables, and a detailed validation checklist. The 'Validation Pass Criteria' table and 'Production-Quality Requirements' section provide clear feedback loops for error recovery. | 3 / 3 |
Progressive Disclosure | Well-structured with clear overview, staged workflow, and explicit references to detailed guides in `references/` directory. Navigation is one-level deep with a clear documentation table mapping requirements to specific reference files. | 3 / 3 |
Total | 11 / 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.
Install with Tessl CLI
npx tessl i pantheon-ai/makefile-generatorReviewed
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