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rfdiosuao

Thinking - 深度思考与规划

by rfdiosuao · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install thinking-skill
Description
通过系统化元认知流程,深入解析任务、盘点技能、检索经验、规划路径与评估风险,提升复杂任务执行效果与效率。
Usage Guidance
This skill is an instruction-only meta-skill that will ask the agent to read its own memories, session history, and available skill list to form plans — that behavior is expected for a planning tool but can surface private information from your agent's memory and conversation history. Before installing: 1) confirm you are comfortable with other installed skills and stored memories being consulted; 2) remember the skill itself does not send data externally, but examples (e.g., posting to Feishu) would require calling other skills/services that may need credentials — review and limit those integrations; 3) note the package.json references a src/index.ts that isn't included, which is acceptable for an instruction-only skill but worth being aware of. If you want stricter limits, restrict the agent's permission to access memory/session history or avoid granting downstream skills (e.g., messaging integrations) access to sensitive destinations.
Capability Analysis
Type: OpenClaw Skill Name: thinking-skill Version: 1.1.0 The 'thinking-skill' bundle is a metacognitive framework designed to guide an AI agent through a structured six-step reasoning process (Task Analysis, Skill Inventory, Memory Retrieval, Path Planning, Risk Assessment, and Execution). The instructions in SKILL.md and README.md are entirely consistent with the stated goal of improving agent planning and reliability. There is no evidence of malicious intent, data exfiltration, or harmful prompt injection; in fact, the skill explicitly includes a 'Risk Assessment' step to identify potential API or permission issues before execution.
Capability Assessment
Purpose & Capability
The name/description (meta-cognitive thinking and planning) align with the instructions: task analysis, skill inventory, memory retrieval, planning, and risk assessment. The skill references listing installed skills and searching agent memory/history — actions coherent with a planning/meta-skill.
Instruction Scope
SKILL.md instructs the agent to access agent-local resources (memory via memory_search, session history via sessions_history, and the skills list). Those are sensitive but appropriate for a thinking/meta-skill that must consult past context and available capabilities. The doc does not instruct reading unrelated system files or exfiltrating data externally. Examples mention sending reports to Feishu (飞书) — that would require invoking another (separate) Feishu/send-skill and credentials, which this skill does not request itself.
Install Mechanism
No install spec and no code files are present beyond metadata and documentation, so nothing is written to disk by an installer. This lowers risk and is consistent with being an instruction-only skill.
Credentials
The skill declares no required environment variables, credentials, or config paths. It does rely on agent-provided tools (memory_search, sessions_list/history) —appropriate for its purpose. There are no unrelated credential requests.
Persistence & Privilege
always is false and the skill does not request permanent presence or modify other skills/configs. It stores a lightweight thinking state conceptually, but as an instruction-only skill this is just guidance for agents and does not demand elevated platform privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install thinking-skill
  3. After installation, invoke the skill by name or use /thinking-skill
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
v1.1: 更新为两步触发机制 - /thinking 标记后下一条消息才触发思考流程
v1.0.0
thinking-skill v1.0.0 - Initial public release. - Provides a structured 6-step thinking and planning process for agents before execution. - Includes detailed templates for task analysis, skill inventory, memory retrieval, path planning, risk assessment, and execution. - Supports both English and Chinese trigger phrases. - Clearly defines when to trigger or skip the thinking process. - Offers user-facing markdown templates and technical implementation examples.
Metadata
Slug thinking-skill
Version 1.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Thinking - 深度思考与规划?

通过系统化元认知流程,深入解析任务、盘点技能、检索经验、规划路径与评估风险,提升复杂任务执行效果与效率。 It is an AI Agent Skill for Claude Code / OpenClaw, with 164 downloads so far.

How do I install Thinking - 深度思考与规划?

Run "/install thinking-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Thinking - 深度思考与规划 free?

Yes, Thinking - 深度思考与规划 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Thinking - 深度思考与规划 support?

Thinking - 深度思考与规划 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Thinking - 深度思考与规划?

It is built and maintained by rfdiosuao (@rfdiosuao); the current version is v1.1.0.

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