本 skill 提供与 TAPD 平台交互的 Python 脚本工具，统一通过 tapd.py 调用。
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontapdExecute the skills CLI command in your project's root directory to begin installation:
Fetches tapd from abcfed/claude-marketplace and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate tapd. Access via /tapd in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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本 skill 提供与 TAPD 平台交互的 Python 脚本工具，统一通过 tapd.py 调用。
使用前需要配置以下环境变量：
export TAPD_ACCESS_TOKEN="你的个人访问令牌" # 推荐
# 或
export TAPD_API_USER="API账号"
export TAPD_API_PASSWORD="API密钥"
export TAPD_API_BASE_URL="https://api.tapd.cn" # 可选，默认
export TAPD_BASE_URL="https://www.tapd.cn" # 可选，默认
export CURRENT_USER_NICK="你的昵称" # 可选
python scripts/tapd.py <command> [参数]
所有命令默认输出 JSON 格式结果。
| 命令 | 说明 |
|---|---|
get_user_participant_projects |
获取用户参与的项目列表 |
get_workspace_info |
获取项目信息 |
get_workitem_types |
获取需求类别 |
| 命令 | 说明 |
|---|---|
get_stories_or_tasks |
查询需求/任务 |
create_story_or_task |
创建需求/任务 |
update_story_or_task |
更新需求/任务 |
get_story_or_task_count |
获取数量 |
get_stories_fields_lable |
字段中英文对照 |
get_stories_fields_info |
字段及候选值 |
| 命令 | 说明 |
|---|---|
get_bug |
查询缺陷 |
create_bug |
创建缺陷 |
update_bug |
更新缺陷 |
get_bug_count |
获取数量 |
| 命令 | 说明 |
|---|---|
get_iterations |
查询迭代 |
create_iteration |
创建迭代 |
update_iteration |
更新迭代 |
| 命令 | 说明 |
|---|---|
get_comments |
查询评论 |
create_comments |
创建评论 |
update_comments |
更新评论 |
| 命令 | 说明 |
|---|---|
get_entity_attachments |
获取附件 |
get_image |
获取图片下载链接 |
| 命令 | 说明 |
|---|---|
get_entity_custom_fields |
获取自定义字段配置 |
| 命令 | 说明 |
|---|---|
get_workflows_status_map |
状态映射 |
get_workflows_all_transitions |
状态流转 |
get_workflows_last_steps |
结束状态 |
| 命令 | 说明 |
|---|---|
get_tcases |
查询测试用例 |
create_or_update_tcases |
创建/更新测试用例 |
create_tcases_batch |
批量创建测试用例 |
| 命令 | 说明 |
|---|---|
get_wiki |
查询 Wiki |
create_wiki |
创建 Wiki |
update_wiki |
更新 Wiki |
| 命令 | 说明 |
|---|---|
get_timesheets |
查询工时 |
add_timesheets |
填写工时 |
update_timesheets |
更新工时 |
| 命令 | 说明 |
|---|---|
get_todo |
获取待办 |
| 命令 | 说明 |
|---|---|
get_related_bugs |
获取关联缺陷 |
entity_relations |
创建关联关系 |
| 命令 | 说明 |
|---|---|
get_release_info |
获取发布计划 |
| 命令 | 说明 |
|---|---|
get_commit_msg |
获取提交关键字 |
| 命令 | 说明 |
|---|---|
send_qiwei_message |
发送企业微信消息 |
# 查询指定需求
python scripts/tapd.py get_stories_or_tasks --workspace_id 123 --entity_type stories --id 1167459320001114969
# 模糊搜索需求
python scripts/tapd.py get_stories_or_tasks --workspace_id 123 --entity_type stories --name "%登录%" --limit 20
# 查询指定状态的需求
python scripts/tapd.py get_stories_or_tasks --workspace_id 123 --entity_type stories --v_status "已验收"
python scripts/tapd.py create_story_or_task --workspace_id 123 \
--name "用户登录功能" \
--description "## 需求描述\n用户可以通过账号密码登录系统" \
--priority_label "高" \
--owner "zhangsan" \
--iteration_name "Sprint 1"
python scripts/tapd.py update_story_or_task --workspace_id 123 \
--id 1167459320001114969 \
--v_status "实现中"
python scripts/tapd.py get_bug --workspace_id 123 --title "%登录失败%" --priority_label "高"
python scripts/tapd.py create_bug --workspace_id 123 \
--title "登录页面显示异常" \
--description "输入正确密码后提示错误" \
--priority_label "高" \
--severity "严重"
# 查询迭代
python scripts/tapd.py get_iterations --workspace_id 123
# 创建迭代
python scripts/tapd.py create_iteration --workspace_id 123 \
--name "Sprint 1" \
--startdate "2024-01-01" \
--enddate "2024-01-14" \
--creator "zhangsan"
# 查询工时
python scripts/tapd.py get_timesheets --workspace_id 123 --entity_type story --entity_id 1167459320001114969
# 填写工时
python scripts/tapd.py add_timesheets --workspace_id 123 \
--entity_type story \
--entity_id 1167459320001114969 \
--timespent "4" \
--spentdate "2024-01-08" \
--memo "开发登录功能"
# 查询评论
python scripts/tapd.py get_comments --workspace_id 123 \
--entry_type stories \
--entry_id 1167459320001114969
# 创建评论
python scripts/tapd.py create_comments --workspace_id 123 \
--entry_type stories \
--entry_id 1167459320001114969 \
--description "看起来不错，可以继续完善"
# 查询需求关联的缺陷
python scripts/tapd.py get_related_bugs --workspace_id 123 --story_id 1167459320001114969
# 创建关联
python scripts/tapd.py entity_relations --workspace_id 123 \
--source_type story \
--target_type bug \
--source_id 1167459320001114969 \
--target_id 1167459320001114970
# 获取状态映射
python scripts/tapd.py get_workflows_status_map --workspace_id 123 --system story
# 获取可流转状态
python scripts/tapd.py get_workflows_all_transitions --workspace_id 123 --system story
# 需求
python scripts/tapd.py get_stories_or_tasks --workspace_id $WS_ID --entity_type stories
python scripts/tapd.py create_story_or_task --workspace_id $WS_ID --name "标题"
python scripts/tapd.py update_story_or_task --workspace_id $WS_ID --id $ID --v_status "状态"
# 缺陷
python scripts/tapd.py get_bug --workspace_id $WS_ID
python scripts/tapd.py create_bug --workspace_id $WS_ID --title "标题"
# 迭代
python scripts/tapd.py get_iterations --workspace_id $WS_ID
python scripts/tapd.py create_iteration --workspace_id $WS_ID --name "Sprint X" --startdate "2024-01-01" --enddate "2024-01-14"
# 工时
python scripts/tapd.py add_timesheets --workspace_id $WS_ID --entity_type story --entity_id $ID --timespent 4 --spentdate "2024-01-08"
# 评论
python scripts/tapd.py create_comments --workspace_id $WS_ID --entry_type stories --entry_id $ID --description "评论内容"
| 类型 | 字段 | 可用值 |
|---|---|---|
| 需求优先级 | priority_label |
High / Middle / Low / Nice To Have |
| 缺陷优先级 | priority_label |
urgent / high / medium / low / insignificant |
| 缺陷严重程度 | severity |
fatal / serious / normal / prompt / advice |
| 任务状态 | status |
open / progressing / done |
| 迭代状态 | status |
open / done |
当用户需要与 TAPD 交互时：
示例工作流：
用户: "查看需求 1167459320001114969 的详情"
Claude:
1. python scripts/tapd.py get_stories_or_tasks --workspace_id 67459320 --entity_type stories --id 1167459320001114969
2. 分析返回的需求信息
当获取需求详情时，get_stories_or_tasks 命令会自动解析 description 中的图片并获取下载链接。
返回结果包含 images 字段：
{
"data": [
{
"Story": { "id": "1167459320001114969", "name": "需求标题", ... },
"images": [
{
<Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
I recommend tapd for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in tapd — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
tapd has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: tapd is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: tapd is focused, and the summary matches what you get after install.
tapd is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added tapd from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
tapd reduced setup friction for our internal harness; good balance of opinion and flexibility.
tapd fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
tapd fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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