← 返回 Skills 市场
135
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install tech-ai-deep-analysis
功能描述
Sharp, opinionated 'so what' analysis of AI/tech developments — strategic implications of new models, architectural shifts, competitive dynamics, and trend j...
安全使用建议
This skill is an instruction-only style guide for producing opinionated AI/tech analysis and does not request credentials or install software — so it appears coherent with its stated purpose. Before enabling: be aware the skill tells the agent to be strongly opinionated and confident; those outputs can be persuasive but are not guaranteed factual. If you plan to let the agent act autonomously with tools (web browse, code execution, or external APIs), review those tool permissions separately because this skill itself does not declare or restrict them. Finally, if you need sourced or verifiable claims, ask the skill to cite sources or to mark conjecture explicitly.
功能分析
Type: OpenClaw Skill
Name: tech-ai-deep-analysis
Version: 1.0.0
The skill bundle consists of a metadata file and a markdown instruction set (SKILL.md) designed to guide an AI agent in performing deep technical and strategic analysis of AI trends. There is no executable code, no requests for sensitive data, and no instructions that would lead to unauthorized actions or prompt injection attacks against the user or system.
能力评估
Purpose & Capability
The name and description promise sharp strategic analysis and the SKILL.md contains detailed guidance for producing that output. There are no extra environment variables, binaries, or config paths requested that would be unrelated to writing analysis, so the declared requirements match the stated purpose.
Instruction Scope
The SKILL.md is a writing and reasoning guide (tone, sections, length, judgment). It does not instruct the agent to read local files, access system secrets, call external endpoints, or collect data outside a normal conversation context. The scope is limited to producing analytic prose.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is downloaded or written to disk. This is the lowest-risk install profile.
Credentials
The skill requires no environment variables, credentials, or config paths. Nothing in the instructions asks for secrets or unrelated service access, so requested permissions are proportionate (in fact, there are none).
Persistence & Privilege
The skill is not marked always:true and uses default autonomous invocation settings. That is normal for skills and is not, on its own, a concern given the lack of privileged requests elsewhere.
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 tech-ai-deep-analysis - 安装完成后，直接呼叫该 Skill 的名称或使用
/tech-ai-deep-analysis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 launch — first public release.
- Provides a framework for deep, judgment-driven analysis of AI/tech developments, emphasizing strategic implications and sharp synthesis.
- Outlines dimensions for analysis: technical essence, architectural impact, competitive dynamics, cross-domain connections, and forward-looking judgment.
- Clearly defines intended uses and advises when not to use the skill (e.g., for lookups, tutorials, or reviews).
- Prescribes output style: insight-dense prose, actionable openings/closings, and confident, opinionated tone.
- Includes anti-patterns to avoid, ensuring output is focused on unique and valuable analysis.
元数据
常见问题
AI&Tech Deep Analysis 是什么？
Sharp, opinionated 'so what' analysis of AI/tech developments — strategic implications of new models, architectural shifts, competitive dynamics, and trend j... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 135 次。
如何安装 AI&Tech Deep Analysis？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tech-ai-deep-analysis」即可一键安装，无需额外配置。
AI&Tech Deep Analysis 是免费的吗？
是的，AI&Tech Deep Analysis 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
AI&Tech Deep Analysis 支持哪些平台？
AI&Tech Deep Analysis 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 AI&Tech Deep Analysis？
由 Trip1ewhy（@trip1ewhy）开发并维护，当前版本 v1.0.0。
推荐 Skills