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Tapd Openapi

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bighardperson
tapd-openapi

TAPD OpenAPI skill，用于需求、缺陷、任务、迭代、Wiki、评论、工时、附件等 TAPD 平台操作。当用户提到「TAPD」「需求」「story」「缺陷」「bug」「任务」「task」「迭代」「iteration」「sprint」「工时」「timesheet」「Wiki」「评论」「comment」「附件」或需要在 TAPD 中查询、创建、更新、统计相关内容时，使用此 skill。支持需求管理、缺陷管理、任务管理、迭代管理、Wiki 管理（含全文搜索）、评论管理、工时花费管理、附件管理及用户信息查询等功能。

Overview

Publisherbighardperson
Repositorycomputer-science-skills-collection
Skill nametapd-openapi
Stars
66
Forks
10
Bundled files
37
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 37 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bighardperson on GitHub. Read the source before you install it.

Installation

Install the Tapd Openapi AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bighardperson/computer-science-skills-collection/tree/main/skills/TAPD
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bighardperson/computer-science-skills-collection.git /tmp/computer-science-skills-collection
mkdir -p .claude/skills
cp -r /tmp/computer-science-skills-collection/skills/TAPD .claude/skills/tapd-openapi
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tapd Openapi in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tapd Openapi on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tapd Openapi is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

TAPD OpenAPI

环境变量（已预置）

  • TAPD_API_ENDPOINT - API 地址, 如果 TAPD_API_ENDPOINT 已配置，则优先使用 TAPD_API_ENDPOINT 的替换文档中的 ${TAPD_API_ENDPOINT}
  • TAPD_WORKSPACE_IDS - 项目 ID 列表，逗号分隔，优先级高于 TAPD_WORKSPACE_ID
  • TAPD_WORKSPACE_ID - 单个项目 ID（兼容旧配置）
  • TAPD_TOKEN - 认证 Token（Bearer 方式）

Workspace 处理规则

调用前必须先确定实际使用的 workspace 列表：

bash
# 优先取 TAPD_WORKSPACE_IDS，回退到 TAPD_WORKSPACE_ID
if [ -n "$TAPD_WORKSPACE_IDS" ]; then
  WS_LIST=$(echo "$TAPD_WORKSPACE_IDS" | tr ',' ' ')
else
  WS_LIST="$TAPD_WORKSPACE_ID"
fi
  • 若 WS_LIST 只有一个 ID，按单 workspace 正常请求即可
  • 若有多个 ID，需对每个 ID 分别调用 API，再汇总结果（求和、合并列表等，根据用户意图决定）
  • 注意 curl 的时候 workspace_id 用逗号分隔后的，例如 $TAPD_WORKSPACE_IDS 是 "31372104,68119668"，则 curl 的时候需要分别调用 workspace_id=31372104 和 workspace_id=68119668

请求模板

bash
# GET
curl -s -H "Authorization: Bearer $TAPD_TOKEN" \
  "${TAPD_API_ENDPOINT}/${path}?workspace_id=${ws_id}"

# POST
curl -s -X POST -H "Authorization: Bearer $TAPD_TOKEN" \
  -H "Content-Type: application/json" \
  "${TAPD_API_ENDPOINT}/${path}" \
  -d '{"workspace_id":"'"${ws_id}"'","key":"value"}'

查询 API 文档

API 文档位于 ~/.codebuddy/skills/tapd-openapi/references/ 目录。

1. 列出所有服务：

bash
ls ~/.codebuddy/skills/tapd-openapi/references/

2. 列出服务下的 API：

bash
ls ~/.codebuddy/skills/tapd-openapi/references/stories/

3. 查看 API 详情：

bash
cat ~/.codebuddy/skills/tapd-openapi/references/stories/liststories.md

常用服务

服务说明常用 API 文件
stories需求管理liststories, countstories, addstory, updatestory, getrelatedbugs, getstoryfieldsinfo
bugs缺陷管理listbugs, countbugs, addbug, updatebug, getbugfieldsinfo
iterations迭代管理listiterations
tasks任务管理listtasks, counttasks, addtask, updatetask
comments评论管理listcomments, countcomments, addcomment
wikisWiki 管理listwikis, countwikis, addwiki, updatewiki, searchwiki（见下方）
timesheets工时花费listtimesheets, counttimesheets, addtimesheet, updatetimesheet
attachments附件管理listattachments, downloadattachment, getimage, downloaddocument
users用户信息getuserinfo, listworkspaces

调用流程

  1. 确定服务：根据需求从常用服务中选择，或用 ls 查看全部
  2. 查找 API：用 ls ~/.codebuddy/skills/tapd-openapi/references/{服务}/ 找到具体操作
  3. 获取详情：用 cat 读取 API 文档，获取请求方法、路径、参数
  4. 执行请求：按模板构造 curl 命令，workspace_id 必传

Wiki 搜索

TAPD API 不支持 Wiki 全文搜索，通过本地脚本实现。详见：

bash
cat ~/.codebuddy/skills/tapd-openapi/references/wikis/searchwiki.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tapd Openapi AI skill do?

TAPD OpenAPI skill，用于需求、缺陷、任务、迭代、Wiki、评论、工时、附件等 TAPD 平台操作。当用户提到「TAPD」「需求」「story」「缺陷」「bug」「任务」「task」「迭代」「iteration」「sprint」「工时」「timesheet」「Wiki」「评论」「comment」「附件」或需要在 TAPD 中查询、创建、更新、统计相关内容时，使用此 skill。支持需求管理、缺陷管理、任务管理、迭代管理、Wiki 管理（含全文搜索）、评论管理、工时花费管理、附件管理及用户信息查询等功能。

Why use Tapd Openapi on TypingMind?

Because you install it once and use it with any model. Tapd Openapi is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tapd Openapi in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bighardperson/computer-science-skills-collection/tree/main/skills/TAPD. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tapd Openapi?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tapd Openapi?

As many as you like. As long as a model supports skills, you can use Tapd Openapi with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tapd Openapi AI skill free?

It is published on GitHub by bighardperson. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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