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Strategy Optimizer Agent
作者
Ouyang198000
· GitHub ↗
· v1.0.0
· MIT-0
115
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install strategy-optimizer-agent
功能描述
策略优化智能体。当需要优化创作策略、调整发布节奏、分析ROI、沉淀方法论时触发本技能。用于：(1) 评估当前策略有效性 (2) 提出选题/发布/文风优化建议 (3) 计算投入产出比 (4) 沉淀方法论到知识库 (5) 预测市场趋势
安全使用建议
This skill is internally coherent and appears safe in that it only contains guidance/templates and requests no credentials or installs. Before enabling it: (1) verify the source and provenance (metadata shows unknown homepage/author), (2) supply only non-sensitive, de-identified input data (no secrets or raw logs), (3) treat its recommendations as advisory — require human approval for major changes, and (4) test outputs in a controlled environment to confirm the recommendations match your business context and metrics.
功能分析
Type: OpenClaw Skill
Name: strategy-optimizer-agent
Version: 1.0.0
The skill bundle contains only metadata and high-level functional instructions for a content strategy optimization agent. There is no executable code, no network requests, and no instructions that attempt to exfiltrate data or bypass security controls in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name and description match the SKILL.md content: the file describes assessing strategy, recommending topic/publishing/style changes, ROI calculation, knowledge-base outputs, and forecasting. There are no unrelated requirements (no env vars, binaries, or installs) that would be disproportionate to the stated purpose.
Instruction Scope
Runtime instructions are high-level, data-driven guidelines and output templates (JSON/markdown). They assume receiving reports from human roles (market/datascience) rather than instructing the agent to read arbitrary system files or credentials. The instructions are structured and do not ask the agent to exfiltrate data or call external endpoints.
Install Mechanism
No install spec and no code files are present — instruction-only skill with no artifacts written to disk. This is the lowest-risk install profile.
Credentials
The skill declares no required environment variables, credentials, or config paths. All recommended inputs are domain data (reports, historical analyses) provided by humans; there is no disproportionate credential or secret access.
Persistence & Privilege
always:false and default autonomous invocation settings are present. Nothing in the skill requests elevated or permanent platform-wide privileges, nor does it modify other skills or system config.
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 strategy-optimizer-agent - 安装完成后，直接呼叫该 Skill 的名称或使用
/strategy-optimizer-agent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
strategy-optimizer-agent 1.0.0 – Initial release
- Introduces a strategy optimization agent for evaluating, optimizing, and tracking creative and publishing strategies.
- Supports data-driven strategy assessment (effectiveness measurement, ROI calculation, and actionable improvement suggestions).
- Enables topic selection, publication rhythm, and writing style optimization based on multi-factor evaluation.
- Provides structured methods for knowledge base accumulation (best practices, mistakes, and methodology curation).
- Includes forecasting for market trends, type popularity, and platform shifts to guide future planning.
- Establishes workflow and constraints to ensure evidence-based, iterative strategy refinement.
元数据
常见问题
Strategy Optimizer Agent 是什么？
策略优化智能体。当需要优化创作策略、调整发布节奏、分析ROI、沉淀方法论时触发本技能。用于：(1) 评估当前策略有效性 (2) 提出选题/发布/文风优化建议 (3) 计算投入产出比 (4) 沉淀方法论到知识库 (5) 预测市场趋势. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 115 次。
如何安装 Strategy Optimizer Agent？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install strategy-optimizer-agent」即可一键安装，无需额外配置。
Strategy Optimizer Agent 是免费的吗？
是的，Strategy Optimizer Agent 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Strategy Optimizer Agent 支持哪些平台？
Strategy Optimizer Agent 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 Strategy Optimizer Agent？
由 Ouyang198000（@ouyang198000）开发并维护，当前版本 v1.0.0。
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