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clawkk

Prompts

by clawkk · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install prompts
Description
Deep prompt engineering workflow—task spec, constraints, examples, evaluation sets, iteration protocol, regression testing, and safety alignment. Use when im...
Usage Guidance
This is a safe, instruction-only prompt-engineering workflow and appears coherent with its description. Before using in production: (1) review any downstream tooling or CI integrations you’ll connect to (regression suites, logging) because those may require credentials or network access outside this skill; (2) avoid pasting secrets into prompts or eval sets; (3) if you link this guidance to other skills (e.g., an llm-evaluation harness), inspect those skills for their required permissions; (4) consider adding concrete CI/runbook steps if you plan automated regression testing so you know what systems will be touched. Otherwise it’s appropriate to use as a prompt-engineering checklist.
Capability Analysis
Type: OpenClaw Skill Name: prompts Version: 1.0.0 The skill bundle consists entirely of documentation and metadata defining a structured workflow for prompt engineering. It contains no executable code, shell commands, or network requests, and the instructions in SKILL.md are purely advisory for guiding users through task definition, evaluation, and iteration without any malicious intent or high-risk behaviors.
Capability Assessment
Purpose & Capability
Name and description match the content of SKILL.md: a six-stage prompt engineering workflow. The skill requests nothing (no env vars, binaries, or config paths) that would be unexpected for this purpose.
Instruction Scope
SKILL.md stays on topic (task spec, constraints, examples, eval sets, iteration, shipping). It does not instruct the agent to read unrelated files, access credentials, or transmit data to external endpoints. Suggestions to log prompt version IDs and to align with an llm-evaluation skill are reasonable operational notes, not secret access.
Install Mechanism
No install spec (instruction-only). Nothing is written to disk or downloaded, which minimizes risk and is appropriate for a guidance-style skill.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no disproportionate secret or config requests relative to the stated purpose.
Persistence & Privilege
always is false and model invocation is allowed (platform default). The skill does not request persistent system-wide privileges or to modify other skills' configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install prompts
  3. After installation, invoke the skill by name or use /prompts
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release introducing a comprehensive, 6-stage prompt engineering workflow for LLM task design and iteration. - Covers stages from task definition through constraints, examples, eval set creation, disciplined iteration, and safe deployment. - Provides clear exit conditions, review checklist, and practical tips for production-grade prompt development. - Addresses structured output, safety alignment, regression testing, and monitoring strategies. - Designed for teams seeking robust, reusable, and test-driven prompt templates.
Metadata
Slug prompts
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Prompts?

Deep prompt engineering workflow—task spec, constraints, examples, evaluation sets, iteration protocol, regression testing, and safety alignment. Use when im... It is an AI Agent Skill for Claude Code / OpenClaw, with 154 downloads so far.

How do I install Prompts?

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

Is Prompts free?

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

Which platforms does Prompts support?

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

Who created Prompts?

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

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