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skill-system-postgres技能系统 Postgres

Agent Skill

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。它适合让 Agent 分析 schema、编写 SQL、排查查询问题、整理索引或生成迁移建议。使用时需要明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除、更新、迁移和批量导入时,应优先 dry-run、备份或事务保护,避免误操作。

总安装

1,497

周安装

63

GitHub Stars

4

下载量

524
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:skill-system-postgres(技能系统 Postgres)
来源仓库:https://github.com/arthur0824hao/skills
仓库路径:skills/skill-system-postgres
安装命令:
npx skills add https://github.com/arthur0824hao/skills --skill skill-system-postgres
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/arthur0824hao/skills --skill skill-system-postgres

简介

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。

  • 适合分析 schema、编写 SQL、排查查询问题或生成迁移建议。
  • 使用时需明确数据库类型、连接环境和目标表,区分只读与写入操作。
  • 涉及删除、更新或批量导入时应优先 dry-run、备份或事务保护。
  • skill-system-postgres 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Skill System (Postgres State)

Database schema for skill system observability, policy, graph, refresh/control-plane state, canonical rule hierarchy projections, and project architecture graph projections.

Install

# Replace 'postgres' with your PostgreSQL superuser if needed (e.g. your OS username)
psql -U postgres -d agent_memory -v ON_ERROR_STOP=1 -f init.sql
# Replace 'postgres' with your PostgreSQL superuser if needed
& "C:\Program Files\PostgreSQL\18\bin\psql.exe" -U postgres -d agent_memory -v "ON_ERROR_STOP=1" -f init.sql

For existing v1 installations, also run migrate-v2.sql.

For graph and control-plane extensions, also run:

psql -U postgres -d agent_memory -v ON_ERROR_STOP=1 -f migrate-v3-graph.sql
psql -U postgres -d agent_memory -v ON_ERROR_STOP=1 -f migrate-v4-control-plane.sql
psql -U postgres -d agent_memory -v ON_ERROR_STOP=1 -f migrate-v5-rule-model.sql
psql -U postgres -d agent_memory -v ON_ERROR_STOP=1 -f migrate-v6-project-graph.sql

Tables

  • skill_system.policy_profiles — effect allowlists (what skills are allowed to do)
  • skill_system.runs — execution records (goal, agent, status, duration, metrics)
  • skill_system.run_events — step-level event log (which skill, which op, result)
  • skill_system.skill_graph_nodes / skill_system.skill_graph_edges — global skill dependency graph
  • skill_system.refresh_jobs / skill_system.refresh_job_events — queued refresh jobs and job logs
  • skill_system.artifact_versions — version registry for generated artifacts
  • skill_system.rule_sets / skill_system.rule_entries — canonical rule hierarchy and projected rule entries
  • skill_system.project_nodes / skill_system.project_edges — canonical repo architecture graph and projected relationships

Usage

The Agent writes to these tables as instructed by the Router skill. This skill does not execute anything — it's a state store.

{
  "schema_version": "2.0",
  "id": "skill-system-postgres",
  "version": "1.4.0",
  "capabilities": ["skill-policy-check", "skill-run-log", "skill-graph", "skill-refresh-control", "skill-rule-model", "skill-project-graph", "skill-projection-engine"],
  "effects": ["db.read", "db.write"],
  "operations": {
    "check-policy": {
      "description": "Check if a skill's effects are allowed by the active policy profile.",
      "input": {
        "policy_name": { "type": "string", "required": true, "description": "Policy profile name (e.g. dev)" },
        "effects": { "type": "json", "required": true, "description": "Array of effect strings to check" }
      },
      "output": {
        "description": "Whether all effects are allowed",
        "fields": { "allowed": "boolean", "blocked_effects": "array" }
      },
      "entrypoints": {
        "agent": "Query skill_system.policy_profiles WHERE name = policy_name"
      }
    },
    "log-run": {
      "description": "Log a skill execution run for observability.",
      "input": {
        "skill_id": { "type": "string", "required": true },
        "operation": { "type": "string", "required": true },
        "status": { "type": "string", "required": true },
        "duration_ms": { "type": "integer", "required": false }
      },
      "output": {
        "description": "Run ID",
        "fields": { "run_id": "integer" }
      },
      "entrypoints": {
        "agent": "INSERT INTO skill_system.runs and skill_system.run_events"
      }
    },
    "migrate-graph": {
      "description": "Apply migrate-v3-graph.sql to create graph nodes/edges schema.",
      "input": {
        "action": { "type": "string", "required": false, "description": "apply or check" }
      },
      "output": {
        "description": "Migration status and table list",
        "fields": { "status": "string", "tables": "array" }
      },
      "entrypoints": {
        "agent": "Apply migrate-v3-graph.sql via psql"
      }
    },
    "migrate-control-plane": {
      "description": "Apply migrate-v4-control-plane.sql to create refresh jobs, refresh job events, and artifact versions tables.",
      "input": {
        "action": { "type": "string", "required": false, "description": "apply or check" }
      },
      "output": {
        "description": "Migration status and table list",
        "fields": { "status": "string", "tables": "array" }
      },
      "entrypoints": {
        "agent": "Apply migrate-v4-control-plane.sql via psql"
      }
    },
    "migrate-rule-model": {
      "description": "Apply migrate-v5-rule-model.sql to create canonical rule hierarchy tables.",
      "input": {
        "action": { "type": "string", "required": false, "description": "apply or check" }
      },
      "output": {
        "description": "Migration status and table list",
        "fields": { "status": "string", "tables": "array" }
      },
      "entrypoints": {
        "agent": "Apply migrate-v5-rule-model.sql via psql"
      }
    },
    "project-rules": {
      "description": "Sync canonical rule hierarchy into PostgreSQL and deterministic markdown rule projections.",
      "input": {
        "write_files": { "type": "boolean", "required": false, "description": "Write note rule projections after syncing" }
      },
      "output": {
        "description": "Rule model summary and written projection paths",
        "fields": { "rule_model": "json", "written_files": "array" }
      },
      "entrypoints": {
        "unix": ["python3", "scripts/rule_projection.py", "--write-files"],
        "agent": "Run scripts/rule_projection.py to upsert canonical rule rows and write deterministic note projections"
      }
    },
    "migrate-project-graph": {
      "description": "Apply migrate-v6-project-graph.sql to create canonical project graph tables.",
      "input": {
        "action": { "type": "string", "required": false, "description": "apply or check" }
      },
      "output": {
        "description": "Migration status and table list",
        "fields": { "status": "string", "tables": "array" }
      },
      "entrypoints": {
        "agent": "Apply migrate-v6-project-graph.sql via psql"
      }
    },
    "project-architecture": {
      "description": "Sync canonical repo architecture graph into PostgreSQL and write note/architecture_map.md.",
      "input": {
        "write_file": { "type": "boolean", "required": false, "description": "Write architecture_map after syncing" }
      },
      "output": {
        "description": "Architecture graph summary and written projection path",
        "fields": { "architecture_graph": "json", "written_file": "string" }
      },
      "entrypoints": {
        "unix": ["python3", "scripts/architecture_graph.py", "--write-file"],
        "agent": "Run scripts/architecture_graph.py to upsert project graph rows and write deterministic note/architecture_map.md"
      }
    },
    "run-projection-engine": {
      "description": "Refresh deterministic markdown projections with GENERATED_START / GENERATED_END managed blocks.",
      "input": {},
      "output": {
        "description": "Projection targets refreshed by the engine",
        "fields": { "written_files": "array" }
      },
      "entrypoints": {
        "unix": ["python3", "scripts/projection_engine.py"],
        "agent": "Run scripts/projection_engine.py after canonical PostgreSQL models are up to date"
      }
    }
  },
  "stdout_contract": {
    "last_line_json": true,
    "note": "Migration operations remain agent-executed SQL; scripts/rule_projection.py returns a JSON payload."
  }
}

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

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按下载量换算181

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按下载量换算151

Cursor

19.87%
按下载量换算104

Gemini CLI

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安全审计

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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