Skill Conductor Architecture-first skill lifecycle: design → build → test → evaluate → package. Most skill tools jump straight to "write SKILL.md." Conductor makes you choose the architecture first - because rewriting a wrong pattern costs more than writing it right. v3: SOP practices + smoke tests — 80 years of Standard Operating Procedure wisdom applied to skill authoring. Inline checklists at risk-points, pre-flight checks, programmatic validation, exception handling patterns.
| Stars | 73 |
| Forks | 10 |
| Language | Python |
| Category | Codex 技能 |
| License | MIT |
| Quality Score | 41.25/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-04 |
| Created | 2026-03-03 |
| Platforms | claude-code, python |
| Est. Tokens | ~7k |
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skill-conductor is Architecture-first skill lifecycle for AI agents. 5 modes: CREATE → EVAL → EDIT → REVIEW → PACKAGE. Integrates Anthropic's eval engine (grader/comparator/analyzer agents, blind A/B, benchmarks) with a. It is categorized as a Codex 技能 with 73 GitHub stars.
skill-conductor is primarily written in Python. It covers topics such as agent-skills, ai-agents, anthropic.
You can find installation instructions and usage details in the skill-conductor GitHub repository at github.com/smixs/skill-conductor. The project has 73 stars and 10 forks, indicating an active community.
skill-conductor is released under the MIT license, making it free to use and modify according to the license terms.