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为其他技能提供统一的配置和日志存储服务，支持技能间数据共享和协作
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | skill-manager |
| description | 为其他技能提供统一的配置和日志存储服务，支持技能间数据共享和协作 |
| dependency | {} |
当技能需要持久化配置信息时，调用技能管理者存储：
from skill_manager import SkillStorage
# 创建存储实例
storage = SkillStorage(data_path="/workspace/projects/skill-data.json")
# 存储配置
config = {
"deploy_mode": "simple",
"output_path": "/path/to/output.log",
"timestamp": "2024-01-22 12:00:00"
}
storage.save_config("my-skill", config)
当技能需要记录运行日志时，调用技能管理者存储：
from skill_manager import SkillStorage
storage = SkillStorage(data_path="/workspace/projects/skill-data.json")
logs = [
{"time": "2024-01-22 12:00:00", "level": "INFO", "message": "开始执行"},
{"time": "2024-01-22 12:05:00", "level": "INFO", "message": "执行完成"}
]
storage.save_logs("my-skill", logs)
当技能需要访问其他技能的配置或日志时：
from skill_manager import SkillStorage
storage = SkillStorage(data_path="/workspace/projects/skill-data.json")
# 读取其他技能的配置
other_config = storage.get_config("other-skill")
# 读取其他技能的日志
other_logs = storage.get_logs("other-skill")
save_config(skill_name, config): 存储技能配置save_logs(skill_name, logs): 存储技能日志save(skill_name, config, logs): 同时存储配置和日志get_config(skill_name): 读取技能配置get_logs(skill_name): 读取技能日志get_all(): 读取所有技能数据list_skills(): 列出所有已存储的技能delete(skill_name): 删除技能数据技能管理者使用统一的JSON格式存储数据：
{
"skill-name-1": {
"config": {
"key1": "value1",
"key2": "value2"
},
"logs": [
{"time": "2024-01-22 12:00:00", "message": "日志1"},
{"time": "2024-01-22 12:05:00", "message": "日志2"}
],
"last_updated": "2024-01-22 12:05:00"
},
"skill-name-2": {
"config": {},
"logs": [],
"last_updated": "2024-01-22 12:10:00"
}
}
/workspace/projects/skill-data.json 实现统一管理last_updated 时间戳import sys
sys.path.insert(0, '/workspace/projects/skill-manager/scripts')
from skill_manager import SkillStorage
# 初始化存储
storage = SkillStorage(data_path="/workspace/projects/skill-data.json")
# 存储技能配置
skill_config = {
"mode": "production",
"output_dir": "/workspace/output",
"retry_count": 3
}
storage.save_config("my-awesome-skill", skill_config)
# 记录运行日志
execution_logs = [
{"time": "2024-01-22 10:00:00", "level": "INFO", "message": "开始执行"},
{"time": "2024-01-22 10:00:05", "level": "INFO", "message": "加载配置"},
{"time": "2024-01-22 10:00:10", "level": "INFO", "message": "执行完成"}
]
storage.save_logs("my-awesome-skill", execution_logs)
from skill_manager import SkillStorage
storage = SkillStorage(data_path="/workspace/projects/skill-data.json")
# 查看所有已存储的技能
all_skills = storage.list_skills()
print(f"已存储的技能: {all_skills}")
# 读取特定技能的配置
config = storage.get_config("dev-observability")
print(f"配置: {config}")
# 读取特定技能的日志
logs = storage.get_logs("dev-observability")
print(f"最近日志: {logs[-5:]}")
当智能体需要分析多个技能的协作情况时：
智能体可以基于存储的数据，发现技能组合的潜在问题和优化机会。
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