Agent skill

Tapd Iteration Runner

by TencentBlueKing in TencentBlueKing/bk-bcs

TAPD 迭代调度器——批量开发一个迭代中的全部需求。自动完成环境初始化、 需求依赖分析、逐需求调度 pipeline 实现、迭代汇总报告四段编排。

Custom licenceAuto-check passedTesting & QA

Install Tapd Iteration Runner

skills CLI
$ npx skills add TencentBlueKing/bk-bcs --skill tapd-iteration-runner -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install TencentBlueKing/bk-bcs tapd-iteration-runner --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/TencentBlueKing/bk-bcs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/tapd-iteration-runner .claude/skills/tapd-iteration-runner && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tapd-iteration-runner
GitHub stars
841
Token cost
~2.5k tokens
SKILL.md length
517 words
Files
7 (incl. references)
Skills in repo
30
Repo updated
First seen
Licence
Custom licence

At a glance

TAPD 迭代调度器——批量开发一个迭代中的全部需求。自动完成环境初始化、 需求依赖分析、逐需求调度 pipeline 实现、迭代汇总报告四段编排。

  • Works in 12 steps: 定位 → 基础配置 → runner → pipeline 参数传递 → …
  • The user mentions 迭代执行
  • SKILL.md covers 1. 定位, 2. 基础配置, 3. runner → pipeline 参数传递 and 4. 子 Skill 编排, plus 9 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tapd Iteration Runner is an agent skill from TencentBlueKing/bk-bcs. TAPD 迭代调度器——批量开发一个迭代中的全部需求。自动完成环境初始化、 需求依赖分析、逐需求调度 pipeline 实现、迭代汇总报告四段编排。 Use this skill whenever the user mentions 迭代执行, 开发迭代, 批量需求实现, TDD 迭代, dry run, batch requirement implementation, TAPD iteration development, speckit-based iteration, 迭代开发, or any workflow involving batch TAPD story processing with iteration-level coordination — even if the user only says "帮我开发这个迭代" or "跑一下迭代".

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `evals/evals.json`, `references/dependency-types.md` and `references/error-handling.md`).

It sits in Testing & QA, covering Spec-driven development and Test-driven development. The repository describes itself as: 蓝鲸智云容器管理平台(BlueKing Container Service).

When your agent uses it

  • The user mentions 迭代执行
  • Batch requirement implementation
  • TAPD iteration development
  • Speckit-based iteration

Example prompts

  • “帮我开发这个迭代”
  • “/tapd-iteration-runner”

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. 定位
  2. 基础配置
  3. runner → pipeline 参数传递
  4. 子 Skill 编排
  5. iteration-state.json
  6. 状态流转
  7. loop 调度逻辑
  8. 与 pipeline 的通信契约
  9. 恢复机制
  10. 迭代汇总触发
  11. 平台约定
  12. 参考文件

What it can do on your machine

Read from SKILL.md and the folder at commit 282070c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json and pseudocode).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tapd Iteration Runner loads about 2.5k tokens when it runs, and up to ~9.6k if it reads all its reference files. Until then it costs about 102 tokens; SKILL.md has 517 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 517 words (~2,463 tokens).

name
tapd-iteration-runner
slug
tapd-iteration-runner
version
2.0.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 6 other files (references) in .agents/skills/tapd-iteration-runner of TencentBlueKing/bk-bcs.

  • SKILL.md
  • evals/evals.json
  • references/dependency-types.md
  • references/error-handling.md
  • references/iteration-state-schema.md
  • references/recovery.md
  • references/report-scripts.md

Open the folder on GitHubat commit 282070c

Compare with similar skills

Tapd Iteration Runner next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tapd Iteration Runner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tapd Iteration Runner this skillTencentBlueKing/bk-bcs841—~2.5kAutomated safety check: PassCustom licence
Evidence-First Development LoopAmazingAng/old-coder749—~5.4kAutomated safety check: NotesMIT
Map TDDazalio/map-framework156—~6kAutomated safety check: PassMIT
SPARC Development Methodologyruvnet/ruflo74k2 repos~829Automated safety check: PassMIT
Tbdjlevy/strif131—~3.5kAutomated safety check: PassMIT
Rust TDD Workflowrtk-ai/rtk83k—~753Automated safety check: NotesApache-2.0

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More from TencentBlueKing/bk-bcs

All 30 skills in this repo
  • Tapd Story Pipeline

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  • Harness Engineering

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  • Tapd Iteration Plan

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    TAPD 迭代规划技能。基于"approved"状态的需求池,结合需求依赖关系、size 规模、 优先级进行全局编排,将合适规模的需求规划进入指定迭代。支持新建迭代和已有迭代 重入两种模式,自动控制迭代总规模上限(默认 1000),通过有向无环图(DAG)分析 保证依赖需求优先入迭代。

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  • Tapd Product Discovery

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    A skill your agent uses when work starts before a complete PRD exists, including 产品前置, 产品调研, 用户调研, 竞品分析, PRD, 原型, 想法建单, 老板需求, 需求来源, 产品父单, 角色拆单, 设计子单, 前端子单, 后端子单, 页面原型 Spec, BKUI 原型, HTML 原型, 原型评审…

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    TAPD 需求澄清技能。从 TAPD 提取"规划中"状态的需求,按照研发最佳实践对需求进行 多维度澄清(业务逻辑、外部系统交互、上下文),整合项目背景知识,输出符合需求文档 规范的标准化 Markdown 需求文档,并回写 TAPD。

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  • Tapd Story Evaluation

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    TAPD 需求评估技能。基于规范需求文档进行逻辑分析,进行子需求拆分、规模评分(size,斐波那契)与 业务价值(RICE)评分。

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Questions about Tapd Iteration Runner

What does Tapd Iteration Runner do?

TAPD 迭代调度器——批量开发一个迭代中的全部需求。自动完成环境初始化、 需求依赖分析、逐需求调度 pipeline 实现、迭代汇总报告四段编排。. Tapd Iteration Runner is an agent skill from TencentBlueKing/bk-bcs. TAPD 迭代调度器——批量开发一个迭代中的全部需求。自动完成环境初始化、 需求依赖分析、逐需求调度 pipeline 实现、迭代汇总报告四段编排。 Use this skill whenever the user mentions 迭代执行, 开发迭代, 批量需求实现, TDD 迭代, dry run, batch requirement implementation, TAPD iteration development, speckit-based iteration, 迭代开发, or any workflow involving batch TAPD story processing with iteration-level coordination — even if the user only says "帮我开发这个迭代" or "跑一下迭代".

When should I use Tapd Iteration Runner?

Tapd Iteration Runner fits situations like: the user mentions 迭代执行; batch requirement implementation; TAPD iteration development; speckit-based iteration.

How do I install Tapd Iteration Runner in Claude Code?

Run `npx skills add TencentBlueKing/bk-bcs --skill tapd-iteration-runner -a claude-code`. Or copy the skill folder (.agents/skills/tapd-iteration-runner in TencentBlueKing/bk-bcs) into .claude/skills/tapd-iteration-runner in your project. Claude Code loads it when a task matches its description.

How do I install Tapd Iteration Runner in Codex?

Run `npx skills add TencentBlueKing/bk-bcs --skill tapd-iteration-runner -a codex`. Or copy the skill folder (.agents/skills/tapd-iteration-runner in TencentBlueKing/bk-bcs) into .agents/skills/tapd-iteration-runner in your project. Codex loads it when a task matches its description.

Can I use Tapd Iteration Runner in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add TencentBlueKing/bk-bcs --skill tapd-iteration-runner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tapd-iteration-runner, .gemini/skills/tapd-iteration-runner, .github/skills/tapd-iteration-runner and .opencode/skills/tapd-iteration-runner in your project.

What does Tapd Iteration Runner need to run?

SKILL.md names no scripts, command-line tools or credentials: Tapd Iteration Runner is instructions for the agent only.

Does Tapd Iteration Runner access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tapd Iteration Runner safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tapd Iteration Runner use?

Tapd Iteration Runner has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Tapd Iteration Runner use?

About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.1k tokens, read only when the agent opens those files.

What are the alternatives to Tapd Iteration Runner?

Skills that share tags, products or a category with Tapd Iteration Runner: Evidence-First Development Loop (AmazingAng/old-coder, 749 stars), Map TDD (azalio/map-framework, 156 stars), SPARC Development Methodology (ruvnet/ruflo, 74k stars) and Tbd (jlevy/strif, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tapd Iteration Runner?

TencentBlueKing (a GitHub organization) maintains it in TencentBlueKing/bk-bcs, which has 841 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 8, 2026.

Source: TencentBlueKing/bk-bcs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.