SKILLS & AGENTS/Skill 与 Agent

agentic-context-engine

kayba-ai/agentic-context-engine

🧠 Make your agents learn from experience.

打开仓库Open repository 官网Homepage

怎么装：Install: docker run --rm -v ~/.openclaw:/home/node/.openclaw openclaw:local ace-learn --dry-run

02 / 现在的位置02 / Why now

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

03 OCT 202603 OCT 2026

增长GROWTH

+0.0%+0.0%

2.6k → 2.6k stars · 3 个快照2.6k → 2.6k stars · 3 snapshots

状态STATUS

持续活跃Active

03 / 它能帮你做什么03 / What it helps you do

它能帮你做成什么What it helps you do

04 / 安装04 / Install

怎么装How to install

DOCKER

$

README 里给出的安装方式。The installation method given in the README.

DOCKER

$

README 里给出的安装方式。The installation method given in the README.

两种装法选一个即可 —— 上面那条给命令行用户，下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.

05 / 限制与风险05 / Limits and risk

限制与风险Limits and risk

风险不是警告，是可信度的一部分。以下结论只基于文档静态扫描，我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

需检查Needs review

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 未在文档中发现Not found in the docs
03需要 DockerNEEDS DOCKER: 是Yes
04难度DIFFICULTY: 需要本地环境Needs a local runtime

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/kayba-ai/agentic-context-engine
原始数据哈希Raw data hash: be1818688df55f88841368371c5f4ce0
解析时间Parsed at: 2026-10-05T22:12:30.883Z
最后一次验证Last verified: 2026-10-05T13:45:39.240Z
增长测量时间Growth measured: —
发现查询Discovery queries: focus:token:repo:topic-context-engineering
分类来源Category source: rules
焦点Focus: token (5)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "tree: .claude/"
    }
  ],
  "apiKey": "onfiguration: ```bash export OPENAI_API_KEY=\"your-key\" # or ANTHROPIC_API_KEY, o",
  "docker": "install: docker only",
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 9,
      "dev-tools": 0,
      "indie-web": 0,
      "skill-agent": 3,
      "productivity": 3
    },
    "primary": "skill-agent",
    "secondary": null
  },
  "localRuntime": null,
  "skillMdTotal": 17,
  "skillMdErrors": [
    {
      "path": "examples/openclaw/kayba-ace/SKILL.md",
      "error": "no frontmatter"
    }
  ],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 4,
    "media": 0,
    "design": 0,
    "browser": 0,
    "devtool": 0,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "16 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "python dependency on mcp / fastmcp + MCP framing",
      "weight": 0.8
    },
    {
      "signal": "skills/ directory with 8 markdown files",
      "weight": 0.75
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme",
    ".claude/skills/kayba-pipeline/SKILL.md",
    ".claude/skills/kayba-pipeline/stage-1-api-analysis/SKILL.md",
    ".claude/skills/kayba-pipeline/stage-2-domain-context/SKILL.md",
    ".claude/skills/kayba-pipeline/stage-3-metrics/SKILL.md",
    ".claude/skills/kayba-pipeline/stage-4-rubric/SKILL.md",
    ".claude/skills/kayba-pipeline/stage-5-action-plan/SKILL.md",
    ".claude/skills/kayba-pipeline/stage-6-hitl/SKILL.md",
    ".claude/skills/kayba-pipeline/stage-7-fixer/SKILL.md",
    "ace/cli/skills/kayba-pipeline/SKILL.md",
    "ace/cli/skills/kayba-pipeline/stage-1-api-analysis/SKILL.md",
    "ace/cli/skills/kayba-pipeline/stage-2-domain-context/SKILL.md",
    "ace/cli/skills/kayba-pipeline/stage-3-metrics/SKILL.md",
    "ace/cli/skills/kayba-pipeline/stage-4-rubric/SKILL.md",
    "ace/cli/skills/kayba-pipeline/stage-5-action-plan/SKILL.md",
    "ace/cli/skills/kayba-pipeline/stage-6-hitl/SKILL.md",
    "ace/cli/skills/kayba-pipeline/stage-7-fixer/SKILL.md",
    "examples/openclaw/kayba-ace/SKILL.md"
  ],
  "skillMdFetched": 17
}