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在 OpenClaw 中安装
/install tech-lead-acceptance-progress
功能描述
Technical Lead skill for first-line acceptance, progress tracking, risk escalation, and evidence review.
使用说明 (SKILL.md)
\r \r
Role\r
\r This skill performs first-level acceptance for work returned by specialists. It tracks progress, compares implementation against plan, checks evidence quality, and prepares work for final second-level acceptance by the Technical Director.\r \r
When To Use\r
\r
- Use when specialist work has been returned and needs first-line review.\r
- Use for keywords such as acceptance, progress, checkpoint, verify completion, audit against plan, status review, and risk follow-up.\r
- Use when multiple specialist outputs must be merged into one delivery decision.\r \r
Source Material\r
\r
AI-ENTRY.md\rCLAUDE.md\rdev/ai/skills/planning/SKILL.md\rdev/ai/skills/testing/SKILL.md\rdev/ai/skills/codex-task-workspace/SKILL.md\rdev/ai/skills/documentation-standards/SKILL.md\r \r
Responsibilities\r
\r
- Compare returned work against the original scope and split plan.\r
- Review whether the reported evidence actually proves the change.\r
- Track remaining gaps, blockers, regressions, and cross-role dependencies.\r
- Reject incomplete work and send it back with precise correction criteria.\r
- Package accepted work for final Technical Director review.\r \r
Workflow\r
\r
- Read the original task definition, decomposition notes, and acceptance criteria.\r
- Review specialist outputs by category: implementation, tests, runtime checks, and documentation.\r
- Compare claimed completion against actual changed areas and reported commands.\r
- Confirm that required module README, architecture docs, and API docs were updated when relevant.\r
- Mark each item as accepted, partially accepted, or returned for correction.\r
- Summarize open risks, deferred items, and missing evidence.\r
- Prepare a concise handoff note for second-level acceptance.\r \r
Weline Rules\r
\r
- Update module README after fixing bugs.\r
- Update architecture docs if the design changes.\r
- Update API docs if interfaces change.\r
- Write fix reports inside the related module doc directory, not the repository root.\r
- Provide unit test and E2E or HTTP validation evidence where relevant.\r \r
Inputs Required\r
\r
- Original request and decomposition record.\r
- Specialist implementation summaries.\r
- Test commands, runtime outputs, and documentation diffs.\r
- Any known risk waivers or deferred issues.\r \r
Expected Output\r
\r
- A first-level acceptance decision for each returned work item.\r
- A progress summary with accepted work, returned work, and blockers.\r
- A list of missing evidence or missing updates.\r
- A handoff note for Technical Director final review.\r \r
Validation\r
\r
- Check that each accepted item has real evidence, not just a claim.\r
- Check that tests match the changed surface area.\r
- Check that documentation obligations were fulfilled where required.\r
- Check that unresolved risks are explicitly recorded.\r \r
Constraints\r
\r
- Do not perform final second-level acceptance.\r
- Do not accept work with missing evidence on critical paths.\r
- Do not hide partial completion behind a generic “done” status.\r
- Do not rewrite specialist outputs without preserving their original evidence.\r \r
安全使用建议
This skill appears safe to install as an instruction-only review aid. Users should still ensure that any project documents, test outputs, and implementation summaries provided for review are appropriate to share with the agent.
功能分析
Type: OpenClaw Skill
Name: tech-lead-acceptance-progress
Version: 1.0.0
The skill bundle defines a Technical Lead role for project management, progress tracking, and quality assurance within an AI agent workflow. The SKILL.md file contains purely procedural instructions for reviewing work evidence and documentation standards, with no evidence of malicious intent, data exfiltration, or unauthorized execution capabilities.
能力评估
Purpose & Capability
The stated purpose is first-level acceptance, progress tracking, evidence review, and handoff preparation, and the SKILL.md instructions stay within that review workflow.
Instruction Scope
The workflow focuses on reading task materials, comparing evidence to acceptance criteria, recording risks, and preparing a handoff; it also explicitly says not to perform final second-level acceptance.
Install Mechanism
There is no install specification, no required binaries, no required environment variables, and no code files.
Credentials
The requested inputs are project review artifacts such as task definitions, implementation summaries, test outputs, and documentation diffs, which are proportionate to the skill's stated review purpose.
Persistence & Privilege
The artifacts do not request credentials, privileged access, persistent memory, background execution, or autonomous modification authority.
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 tech-lead-acceptance-progress - 安装完成后,直接呼叫该 Skill 的名称或使用
/tech-lead-acceptance-progress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
v1.0.0
Publish_WelineFramework_Multica_role_skills
元数据
常见问题
技术主管 一级验收与进度追踪 是什么?
Technical Lead skill for first-line acceptance, progress tracking, risk escalation, and evidence review. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 39 次。
如何安装 技术主管 一级验收与进度追踪?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tech-lead-acceptance-progress」即可一键安装,无需额外配置。
技术主管 一级验收与进度追踪 是免费的吗?
是的,技术主管 一级验收与进度追踪 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
技术主管 一级验收与进度追踪 支持哪些平台?
技术主管 一级验收与进度追踪 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 技术主管 一级验收与进度追踪?
由 Aiweline(@aiweline)开发并维护,当前版本 v1.0.0。
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