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在 OpenClaw 中安装
/install level-up-skill-tree
功能描述
Organize learning goals into a skill tree with dependencies, current level, upgrade conditions, and the next best path. Use when the user wants a realistic g...
使用说明 (SKILL.md)
Level Up Skill Tree
Chinese name: 技能树成长
Purpose
Turn scattered learning goals into a skill tree with dependencies so the user can stop guessing what to learn next. This skill is descriptive only. It does not run assessments, enroll courses, or call external services.
Use this skill when
- The user wants to learn many things but needs a realistic order.
- The user feels stuck on a plateau and wants a next upgrade path.
- The user needs to balance core growth with side branches.
- The user wants a role-based learning map instead of a flat task list.
Inputs to collect
- Target role or identity
- Core capabilities to build
- Existing baseline or prior experience
- Time constraints and resource limits
- Current blockers or plateau symptoms
- Desired outcome horizon
Workflow
- Collect the target role, important capabilities, existing foundations, and real-world constraints.
- Break the capabilities into trunk skills, branch skills, prerequisite nodes, passive buffs, and breakthrough nodes.
- Define each node with current level, upgrade condition, recommended practice action, and whether a skip is realistic.
- Draw the current-stage tree and mark already unlocked nodes.
- Recommend the next best upgrade route with one short-cycle training action and a validation method.
Output Format
- Role positioning with a main-role and side-role style summary.
- Skill tree overview with branches, dependencies, and already unlocked nodes.
- Next upgrade route with a reasoned priority order.
- This week's smallest upgrade actions and how to verify progress.
Quality bar
- The tree must reflect dependencies rather than a flat list.
- Recommendations must match the user's real time and baseline.
- Include at least one short-cycle action that can be validated quickly.
- Avoid unrealistic leapfrogging when prerequisites are missing.
Edge cases and limits
- If the user has too many goals, choose one main tree and park the rest as side branches.
- If skill labels are too abstract, translate them into trainable behavior first.
- Do not present this as professional certification, academic advising, or formal career assessment.
Compatibility notes
- Works for students, parents, self-learners, career shifters, and long-term builders.
- Can pair conceptually with achievement-unlock-tracker or quest-chain-decomposer.
- Fully dialogue-based, no assessment API required.
安全使用建议
This skill appears to be a straightforward, local, descriptive helper: it reads its own SKILL.md and formats a guidance card. If you plan to run the included handler locally, review the SKILL.md content (already present) and note that the code does not perform network calls or request secrets. As a best practice, run the bundled tests in a sandbox if you want extra assurance before using it in a production agent.
功能分析
Type: OpenClaw Skill
Name: level-up-skill-tree
Version: 1.0.0
The skill bundle is a purely descriptive tool designed to help users organize learning goals into a structured skill tree. The Python logic in handler.py is limited to parsing the local SKILL.md file and formatting its content into a structured response; it contains no network calls, shell executions, or sensitive data access. The instructions in SKILL.md are benign and strictly follow the stated purpose of educational pathfinding.
能力评估
Purpose & Capability
Name, description, SKILL.md, and handler.py are consistent: the skill is purely descriptive and produces a skill-tree guidance card. No extraneous credentials, binaries, or services are requested.
Instruction Scope
SKILL.md instructs only dialogue-based collection of user inputs and generation of a skill tree. The handler implements that behavior and does not read unrelated system files, access environment variables, or call external endpoints.
Install Mechanism
There is no install spec (instruction-only). The repository contains handler and tests but no downloads or extract operations. Nothing is written to disk by the handler beyond reading its own SKILL.md.
Credentials
The skill declares no required environment variables, credentials, or config paths. The handler does not access os.environ or other system secrets.
Persistence & Privilege
The skill does not request always:true, does not modify other skills or system configuration, and does not persist credentials. It only reads local SKILL.md and returns a string result.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install level-up-skill-tree - 安装完成后，直接呼叫该 Skill 的名称或使用
/level-up-skill-tree触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of level-up-skill-tree.
- Organize learning goals into a skill tree structure with dependencies and upgrade paths.
- Provides a roadmap tailored to the user’s role, current level, constraints, and baseline experience.
- Offers clear next-step recommendations with actionable, quick validation methods.
- Suitable for study, career, or personal growth planning in a realistic, dependency-aware format.
元数据
常见问题
Level Up Skill Tree 是什么？
Organize learning goals into a skill tree with dependencies, current level, upgrade conditions, and the next best path. Use when the user wants a realistic g... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 89 次。
如何安装 Level Up Skill Tree？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install level-up-skill-tree」即可一键安装，无需额外配置。
Level Up Skill Tree 是免费的吗？
是的，Level Up Skill Tree 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Level Up Skill Tree 支持哪些平台？
Level Up Skill Tree 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Level Up Skill Tree？
由 haidong（@harrylabsj）开发并维护，当前版本 v1.0.0。
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