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Work Productivity Self Improving Workflow Helper

该 Skill 面向智能体用户与 Skill 维护者，针对自我改进型工作流需求提供支持：重述目标与约束，给出工作计划、模板或清单，产出代码改动、分析或决策建议，并按成功标准校验结果。强调本地硬件友好，偏好脚本与模板，输出需说明假设、限制与后续步骤。

kyro-ma
kyro-ma
热度 14.21
最近更新 2026-07-29 13:45:45
分类：开发依赖：内部调用大模型 / 读写文件应用场景：调试排错 / 工作流 / 模板 / DevOps

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add work-productivity-self-improving-workflow-helper-100318
Metadata
name
work-productivity-self-improving-workflow-helper
description
Help users with Validated demand: Agent users show strong demand for self-improving agent-style workflows on Clawhub. They need practical help fixing bugs, hardening setup and safety, improving reliability, or creating adjacent skills inspired by the same job-to-be-done. This requirement is supported by 12 separate online signals across 4 source families, so it represents broader demand rather than a single isolated request.. Use when a user asks for work-productivity, self-improving-agent, self, improving, logs, or needs a practical workflow, artifact, checklist, analysis, or implementation support for this requirement.

Work Productivity Self Improving Workflow Helper

Requirement

Use this skill to help AI-agent users, skill authors, maintainers, and teams who want proven popular skill patterns adapted into more reliable or adjacent workflows with:

Validated demand: Agent users show strong demand for self-improving agent-style workflows on Clawhub. They need practical help fixing bugs, hardening setup and safety, improving reliability, or creating adjacent skills inspired by the same job-to-be-done. This requirement is supported by 12 separate online signals across 4 source families, so it represents broader demand rather than a single isolated request.

Demand score: 100/100 (70/70 demand, 30/30 local feasibility). Evidence: 12 signals across 4 source families.

Read references/requirement-plan.md when source evidence, planning details, or review criteria are needed.

Workflow

  1. Restate the user's outcome, constraints, available inputs, and success criteria.
  2. Create a concise work plan, template, automation outline, or decision aid that reduces manual coordination.
  3. Ask only for missing information that materially changes the output; otherwise make reasonable assumptions and continue.
  4. Keep the implementation local-hardware friendly: prefer scripts, templates, checklists, and small-model or CPU-safe workflows over cloud-only or large-training approaches.
  5. Produce the requested artifact, workflow, checklist, analysis, code change, or decision support.
  6. Validate the output against the success criteria and list any remaining risks or follow-up work.

Expected Outputs

  • A tailored answer or artifact for the user's immediate situation.
  • A reusable checklist or workflow when the task is repeatable.
  • A verification note showing how the result was checked.

Validation

  • The output directly addresses the discovered requirement.
  • The user can act on the result without reading the original source post.
  • Assumptions, limits, and required inputs are visible.
  • The final response includes a short usage or next-step note when helpful.

Triggers

Keywords: work-productivity, self-improving-agent, self, improving, logs, own, findings, improvement, improved, bug fix

Example trigger sentences:

  • Help me Agent users show strong demand for self-improving agent-style workflows on Clawhub. They need practical help fixing bugs.
  • I need a practical workflow for Agent users show strong demand for self-improving agent-style workflows on Clawhub. They need practical help fixing bugs.
  • Use $work-productivity-self-improving-workflow-helper to handle Agent users show strong demand for self-improving agent-style workflows on Clawhub. They need practical help fixing bugs.