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Self-Improving Support
作者
José I. O.
· GitHub ↗
· v1.1.0
· MIT-0
94
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install self-improving-support
功能描述
Captures ticket resolution delays, misdiagnoses, escalation gaps, SLA breaches, knowledge gaps, and customer churn signals to enable continuous support impro...
安全使用建议
This skill appears coherent for support-process improvement. Before enabling: (1) review the scripts (activator.sh, error-detector.sh, extract-skill.sh) to confirm you’re comfortable with local file writes (/.learnings/ or ./skills/) and that no PII will be logged; (2) only enable the hooks you need—UserPromptSubmit (activator) is lightweight; PostToolUse (error detector) reads tool output and should be enabled only if you trust automated inspection of command outputs; (3) if you install manually, prefer reviewing the GitHub repo contents first; (4) consider adding a matcher in your hook configuration so reminders run only for support-related prompts; and (5) remember the skill can’t enforce anonymization—agents must follow the “never log PII” guidance.
功能分析
Type: OpenClaw Skill
Name: self-improving-support
Version: 1.1.0
The self-improving-support skill is designed to help support agents track ticket issues, knowledge gaps, and feature requests. The bundle contains markdown templates, shell scripts for initialization and skill scaffolding (extract-skill.sh), and OpenClaw hooks (handler.js/ts) that inject reminders into the agent's context. Analysis of the code shows no evidence of data exfiltration, malicious execution, or harmful prompt injection; the scripts perform standard file operations with basic safety checks against path traversal.
能力标签
能力评估
Purpose & Capability
Name/description match the included artifacts: documentation, templates, scripts to create .learnings/, and OpenClaw hook handlers for injecting a reminder. The files and hooks are proportionate to a support-learning capture workflow.
Instruction Scope
Runtime instructions direct the agent to create and append to local .learnings/ files in the project or OpenClaw workspace and to use hooks for optional automation. The skill warns not to log PII but cannot enforce anonymization; enabling the PostToolUse hook runs a script that reads the CLAUDE_TOOL_OUTPUT environment variable (provided by the host) and emits detection reminders. This behavior is within scope but worth noting because it touches command output and local files.
Install Mechanism
No install spec or external downloads are required. The package includes local scripts and hook handlers only. Manual install instructions point to a GitHub repo and copying hooks into the OpenClaw hooks directory, which is a standard, low-risk pattern.
Credentials
The skill declares no required credentials or config paths. Scripts read CLAUDE_TOOL_OUTPUT and rely on OpenClaw/Claude hook environments, which is normal for detection hooks but that environment var is not listed as a required env in the manifest—this is expected for hook-driven scripts but worth calling out. No secrets or unrelated cloud credentials are requested.
Persistence & Privilege
always is false and the skill is user-invocable. Hooks inject a virtual reminder file at agent bootstrap and scripts can create files under the workspace or ./skills (extract-skill.sh), but nothing forces persistent global changes or modifies other skills' configs. Enabling hooks is an explicit opt-in step.
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 self-improving-support - 安装完成后，直接呼叫该 Skill 的名称或使用
/self-improving-support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
v1.1.0
**Version 1.1.0**
- Added stackability contract for multi-skill installations.
- Added namespaced logging guidance (`.learnings/support/`) for coexistence with other skills.
- Added required `Skill: support` metadata field and cross-skill precedence/ownership rules.
- Clarified hook arbitration model (single dispatcher, dedupe, rate limiting).
v1.0.0
self-improving-support v1.0.0
- Initial release enabling continuous support improvement through structured capture of ticket issues, delays, SLA breaches, misdiagnoses, knowledge gaps, escalation gaps, and churn signals.
- Introduces markdown log files: LEARNINGS.md, TICKET_ISSUES.md, and FEATURE_REQUESTS.md under a dedicated `.learnings/` directory.
- Provides clear setup instructions for OpenClaw and generic agent environments.
- Defines actionable logging formats and guidance for the promotion of high-impact learnings to KB articles, escalation matrices, and canned responses.
- Emphasizes anonymization and exclusion of customer PII or credentials in all logs.
元数据
常见问题
Self-Improving Support 是什么？
Captures ticket resolution delays, misdiagnoses, escalation gaps, SLA breaches, knowledge gaps, and customer churn signals to enable continuous support impro... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 94 次。
如何安装 Self-Improving Support？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install self-improving-support」即可一键安装，无需额外配置。
Self-Improving Support 是免费的吗？
是的，Self-Improving Support 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Self-Improving Support 支持哪些平台？
Self-Improving Support 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 Self-Improving Support？
由 José I. O.（@jose-compu）开发并维护，当前版本 v1.1.0。
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