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Workflow Skillify

作者 wimi321 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install workflow-skillify
功能描述
Use when a successful session or repeatable process should be captured as a reusable skill with steps, arguments, and invocation guidance.
使用说明 (SKILL.md)

Workflow Skillify

Use this skill at the end of a repeatable process to capture it as a standalone skill.

Workflow

  1. Summarize the session and extract user-visible goals, corrections, and constraints.
  2. Identify inputs, outputs, artifacts, and success criteria.
  3. Interview for missing details only where the workflow is ambiguous.
  4. Write a clean SKILL.md with trigger conditions, steps, and optional arguments.
  5. Save the skill in the appropriate repo-level or personal location.

Guardrails

  • Capture the user's corrections, not just the first draft of the process.
  • Keep the resulting skill concrete and execution-oriented.
  • Do not over-question simple workflows.

Example Requests

  • Turn this successful session into a reusable skill.
  • Capture the process we just followed as a formal skill.

Inputs

  • Session history
  • User corrections
  • Desired save scope

Outputs

  • Reusable SKILL.md
  • Trigger and argument guidance

Success Criteria

  • The resulting skill captures the real workflow.
  • User corrections are preserved as rules.
  • The saved skill is specific and reusable.

Non-Goals

  • Over-interviewing simple workflows
  • Saving a vague process with no triggers or success criteria

Source Provenance

Derived from src/skills/bundled/skillify.ts.

安全使用建议
This skill is coherent for turning a session into a SKILL.md, but it will read your session history and instruct the agent to save a file — which can capture secrets or personal data. Before using it: (1) avoid running it on sessions that contain passwords, API keys, or sensitive data; (2) require manual review of the generated SKILL.md before saving or committing it to any repository; (3) specify or confirm the save location (personal directory vs. repo) so the agent doesn't persist data to an unintended place; (4) consider adding an explicit redaction step to the workflow (remove secrets/PII) if you plan to save or share generated skills. If you need stronger guarantees, disable autonomous invocation or restrict the agent's ability to write files until you review outputs.
功能分析
Type: OpenClaw Skill Name: workflow-skillify Version: 1.0.0 The workflow-skillify skill is a utility designed to capture successful session histories and convert them into reusable skill definitions. The instructions in SKILL.md and the configuration in agents/openai.yaml are focused on summarizing user interactions, identifying inputs/outputs, and saving a new SKILL.md file. There are no indicators of malicious behavior, data exfiltration, or unauthorized command execution.
能力评估
Purpose & Capability
Name and description (capture a repeatable session as a reusable skill) align with the instructions: summarize the session, extract inputs/outputs, write a SKILL.md and save it. No unrelated credentials, binaries, or installs are requested.
Instruction Scope
The runtime instructions explicitly reference reading the session history and user corrections (expected for this purpose) and direct the agent to save the resulting SKILL.md in a repo-level or personal location. There is no explicit step to scrub or redact secrets/PII from the session before saving — that is a potential privacy/data-leak risk the user should be aware of.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk by an installer. Low installation risk.
Credentials
The skill declares no environment variables, credentials, or config paths. It legitimately needs access to the session history and user corrections; no unrelated secrets are requested.
Persistence & Privilege
always is false and model invocation is allowed (platform default). The instructions ask the agent to save files to a repo/personal location, which is coherent but increases persistence risk: the agent could persist sensitive session content unless the user or the skill enforces redaction/review.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install workflow-skillify
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /workflow-skillify 触发
  4. 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 extraction from local Claude Code source
元数据
Slug workflow-skillify
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Workflow Skillify 是什么?

Use when a successful session or repeatable process should be captured as a reusable skill with steps, arguments, and invocation guidance. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 127 次。

如何安装 Workflow Skillify?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install workflow-skillify」即可一键安装,无需额外配置。

Workflow Skillify 是免费的吗?

是的,Workflow Skillify 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Workflow Skillify 支持哪些平台?

Workflow Skillify 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 Workflow Skillify?

由 wimi321(@wimi321)开发并维护,当前版本 v1.0.0。

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