Agent skill

Feature Implementation

by protect-my-hair in protect-my-hair/nucleus-marketplace

A skill your agent uses when implementing exactly one feature after its feature design review and implementation plan are confirmed.

MITAuto-check passedAgent Workflows

Install Feature Implementation

skills CLI
$ npx skills add protect-my-hair/nucleus-marketplace --skill feature-implementation -a claude-code

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

GitHub CLI
$ gh skill install protect-my-hair/nucleus-marketplace feature-implementation --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/protect-my-hair/nucleus-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/nucleus/skills/feature-implementation .claude/skills/feature-implementation && 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
feature-implementation
GitHub stars
164
Token cost
~562 tokens
SKILL.md length
144 words
Files
3 (incl. references)
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when implementing exactly one feature after its feature design review and implementation plan are confirmed.

  • Implementing exactly one feature after its feature design review and implementation plan are confirmed
  • SKILL.md covers 核心原则, 行为纪律 and 禁止
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Planning

What it does

Feature Implementation is an agent skill from protect-my-hair/nucleus-marketplace. Use when implementing exactly one feature after its feature design review and implementation plan are confirmed.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/implementation-boundary.md`).

It sits in Agent Workflows, covering Planning and Design review and critique. The repository describes itself as: Nucleus — Claude Code / Codex 工作流插件,确保 AI 编码产出结构可信、边界可审计、过程可追溯. The licence is MIT.

When your agent uses it

  • Implementing exactly one feature after its feature design review and implementation plan are confirmed
  • Tasks that involve Planning
  • Tasks that involve Design review and critique

Example prompts

  • “/feature-implementation”

What it can do on your machine

Read from SKILL.md and the folder at commit 3c82085. 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.

    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

Feature Implementation loads about 562 tokens when it runs, and up to ~705 if it reads all its reference files. Until then it costs about 34 tokens; SKILL.md has 144 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~562
With references · SKILL.md plus every file in references/, read only if the agent opens them
~705

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

The full file from protect-my-hair/nucleus-marketplace at commit 3c82085, republished under its MIT licence (© protect-my-hair). 144 words, ~562 tokens.

Download SKILL.mdSave it as .claude/skills/feature-implementation/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
feature-implementation
description
Use when implementing exactly one feature after its feature design review and implementation plan are confirmed.

Feature Implementation

核心原则

只实现当前特性实施计划覆盖的内容。

<HARD-GATE>
没有引用统一人工事实源的特性设计评审事实和实施计划确认事实,不得写源码、测试或正式文档。

实施计划声明 uiDesign.applicability=required 时,未读取 UI 设计源、Pencil frame / UI 状态映射、公共组件 / 公共样式契约和视觉证据要求前,不得写 UI 相关源码或样式。

实施计划声明 uiDesign.applicability=candidate-found 时,未取得候选设计源是否相关的人工计划确认前,不得写 UI 相关源码或样式;确认相关后必须回到实施计划补齐 required 级 frame 映射和视觉证据。

实施计划缺少 developmentSpecs,或 developmentSpecs.status=missing 但没有人工计划明确接受 setup gap / 先补齐 docs/specs/** 的结论时,不得写源码、测试或样式。

实施计划缺少 specAnchor,或没有从磁盘重读 .nucleus/runs/<workflowRunId>/spec-anchor.json 及其 sourceEvidencePaths,或 specAnchor.status 不是 ready 且没有人工计划明确接受 gap 时,不得写源码、测试或样式。 </HARD-GATE>

行为纪律

  • 先读取当前 featurePath、特性设计评审事实、实施计划确认事实、实施计划和测试计划;人工事实必须来自对话、PMS 状态或明确审批上下文,不能来自 summary.md、result.json、candidate 或 multi-review report。
  • 每次进入实现、上下文压缩后恢复、切换 task、写源码前、写样式前、写 UI 前,都必须重读实施计划的 specAnchor、.nucleus/runs/<workflowRunId>/spec-anchor.json 和其中 sourceEvidencePaths;不得把对话摘要当成 specs 或 UI 设计事实。
  • 写任何源码、测试或样式前,先执行 pre-edit gate:确认当前 task 的 planned files、适用 rule id、acceptance、evidence 和 verify command;缺任一项时回到实施计划评审。
  • 读取实施计划的 developmentSpecs 和 .nucleus/runs/<workflowRunId>/development-specs-evidence.json;存在 docs/specs/rules/** 时,先读适用规则再改代码;缺失时,先补齐规范或取得人工计划豁免。
  • 只修改实施计划声明的代码区域、测试区域和文档区域。
  • 代码、测试和文档改动必须能回指当前 featurePath。
  • 写 UI 前必须读取实施计划的 uiDesign、.nucleus/runs/<workflowRunId>/ui-design-evidence.json、对应 Pencil frame / 用户设计稿、相邻页面、公共组件、公共 CSS / token 或页面级样式;candidate-found 必须先取得人工相关性结论;没有设计源时,也必须按现有公共组件和既有样式实现。
  • UI 实现后必须产出计划声明的截图、Pencil frame 对照、人工视觉证据或等价报告;缺证据时不得声称完成。
  • 开发完成前必须执行 completion gate:按 changed files 重新计算 applicable rules -> evidence coverage;缺 blocking rule 证据、UI frame 未覆盖或 factsManifestHash stale 时不得触发完成评审。
  • 发现计划不成立、依赖缺失或 scope 变化时停住,回到计划或设计评审节点。
  • 开发完成后必须触发 multi-review,覆盖 code-review、方案一致性和计划满足度。

禁止

  • 顺手做无关重构。
  • 合并多个特性的实现。
  • 在计划外写接口、数据结构、权限或外部依赖。
  • 忽略 docs/specs/** 规范事实源,或把规范缺失当作无约束。
  • 依赖压缩后的对话摘要继续实现,而不重读 specAnchor.sourceEvidencePaths。
  • 使用未确认存在的 CSS 类、跳过公共页面布局 / 组件模式,或在有 Pencil 设计源时只按个人判断重画界面。
  • 用测试通过替代设计一致性和计划满足度评审。
  • 创建、批准、合入或发布 MR/PR。

© protect-my-hair, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in plugins/nucleus/skills/feature-implementation of protect-my-hair/nucleus-marketplace.

  • SKILL.md
  • agents/openai.yaml
  • references/implementation-boundary.md

Open the folder on GitHubat commit 3c82085

Compare with similar skills

Feature Implementation 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.

Feature Implementation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Feature Implementation this skillprotect-my-hair/nucleus-marketplace164—~562Automated safety check: PassMIT
Design Reviewxwtro0tk1t-cloud/harness265—~1.6kAutomated safety check: PassNone
Cross Agent Planprassanna-ravishankar/repowire264—~272Automated safety check: PassNone
Plan Design Reviewgarrytan/gstack136k—~21kAutomated safety check: WarnMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills105k6 repos~3.8kAutomated safety check: PassMIT

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Categories

Questions about Feature Implementation

What does Feature Implementation do?

A skill your agent uses when implementing exactly one feature after its feature design review and implementation plan are confirmed. Feature Implementation is an agent skill from protect-my-hair/nucleus-marketplace. Use when implementing exactly one feature after its feature design review and implementation plan are confirmed.

When should I use Feature Implementation?

Feature Implementation fits situations like: implementing exactly one feature after its feature design review and implementation plan are confirmed; tasks that involve Planning; tasks that involve Design review and critique.

How do I install Feature Implementation in Claude Code?

Run `npx skills add protect-my-hair/nucleus-marketplace --skill feature-implementation -a claude-code`. Or copy the skill folder (plugins/nucleus/skills/feature-implementation in protect-my-hair/nucleus-marketplace) into .claude/skills/feature-implementation in your project. Claude Code loads it when a task matches its description.

How do I install Feature Implementation in Codex?

Run `npx skills add protect-my-hair/nucleus-marketplace --skill feature-implementation -a codex`. Or copy the skill folder (plugins/nucleus/skills/feature-implementation in protect-my-hair/nucleus-marketplace) into .agents/skills/feature-implementation in your project. Codex loads it when a task matches its description.

Can I use Feature Implementation 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 protect-my-hair/nucleus-marketplace --skill feature-implementation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feature-implementation, .gemini/skills/feature-implementation, .github/skills/feature-implementation and .opencode/skills/feature-implementation in your project.

What does Feature Implementation need to run?

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

Does Feature Implementation 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 Feature Implementation 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 Feature Implementation use?

Feature Implementation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Feature Implementation use?

About 562 tokens (SKILL.md is roughly 2.2k 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 143 tokens, read only when the agent opens those files.

What are the alternatives to Feature Implementation?

Skills that share tags, products or a category with Feature Implementation: Design Review (xwtro0tk1t-cloud/harness, 265 stars), Cross Agent Plan (prassanna-ravishankar/repowire, 264 stars), Plan Design Review (garrytan/gstack, 136k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feature Implementation?

protect-my-hair (a GitHub user) maintains it in protect-my-hair/nucleus-marketplace, which has 164 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on July 23, 2026.

Source: protect-my-hair/nucleus-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.