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wimi321

Workflow Skillify

by wimi321 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
127
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Install in OpenClaw
/install workflow-skillify
Description
Use when a successful session or repeatable process should be captured as a reusable skill with steps, arguments, and invocation guidance.
README (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.

Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install workflow-skillify
  3. After installation, invoke the skill by name or use /workflow-skillify
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial extraction from local Claude Code source
Metadata
Slug workflow-skillify
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Workflow Skillify?

Use when a successful session or repeatable process should be captured as a reusable skill with steps, arguments, and invocation guidance. It is an AI Agent Skill for Claude Code / OpenClaw, with 127 downloads so far.

How do I install Workflow Skillify?

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

Is Workflow Skillify free?

Yes, Workflow Skillify is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Workflow Skillify support?

Workflow Skillify is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Workflow Skillify?

It is built and maintained by wimi321 (@wimi321); the current version is v1.0.0.

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