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Agent skill

Implement Feature

by ljxpython in ljxpython/ai-agent-platform

AI 在项目文档（docs/projects/{YYYYMMDD}-{项目名}/）已存在时，实现任务过程中自动调用（不需要用户手动触发），记录改动细节到 implementation/ 目录。跳过条件：单项目改动的小改动不需要创建实现记录。

No licenceAuto-check passedAI & LLM Engineering

Install Implement Feature

skills CLI
$ npx skills add ljxpython/ai-agent-platform --skill implement-feature -a claude-code

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

GitHub CLI
$ gh skill install ljxpython/ai-agent-platform implement-feature --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/ljxpython/ai-agent-platform.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/implement-feature .claude/skills/implement-feature && 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
implement-feature
GitHub stars
137
Token cost
~1k tokens
SKILL.md length
166 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
None found

At a glance

AI 在项目文档（docs/projects/{YYYYMMDD}-{项目名}/）已存在时，实现任务过程中自动调用（不需要用户手动触发），记录改动细节到 implementation/ 目录。跳过条件：单项目改动的小改动不需要创建实现记录。

  • Works in 4 steps: 读取任务列表 → 实现代码 → 记录改动细节（细节层） → …
  • AI & LLM Engineering work in your project
  • SKILL.md covers 触发条件, 跳过条件, 两层分工原则 and 工作流, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Implement Feature is an agent skill from ljxpython/ai-agent-platform. AI 在项目文档（docs/projects/{YYYYMMDD}-{项目名}/）已存在时，实现任务过程中自动调用（不需要用户手动触发），记录改动细节到 implementation/ 目录。跳过条件：单项目改动的小改动不需要创建实现记录。

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. It works with Model Context Protocol. The repository describes itself as: 企业级 AI Agent 平台底座，基于 LangGraph 生态体系二次开发，开箱即用（FastAPI + Vue 3 + MCP + Skills + 沙箱工作区 + 长期记忆）.

When your agent uses it

  • AI & LLM Engineering work in your project

Example prompts

  • “/implement-feature”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 读取任务列表
  2. 实现代码
  3. 记录改动细节（细节层）
  4. 输出 Task Completion Card（进度层，必做）

What it can do on your machine

Read from SKILL.md and the folder at commit 4926590. 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 markdown and python).

    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

Implement Feature loads about 1k tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 166 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 166 words (~1,009 tokens).

“实现具体功能，并记录详细的改动信息。这是 AI 在链路改动/治理改动的实现过程中自动调用的 Skill，跟着 plan-project 创建的项目文档走。”

— opening of SKILL.md by ljxpython
name
implement-feature

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .codex/skills/implement-feature of ljxpython/ai-agent-platform.

Open the folder on GitHubat commit 4926590

Compare with similar skills

Implement Feature 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.

Implement Feature compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implement Feature this skillljxpython/ai-agent-platform137—~1kAutomated safety check: PassNone
Agent Interface DesignNeeeophytee/finding-unknowns-skills343—~650Automated safety check: PassMIT
Backend Architectureovermind-core/overmind544—~10kAutomated safety check: PassAGPL-3.0
Ax Gendosco/aithy107—~5.4kAutomated safety check: PassApache-2.0
Hive MCP Skillholon-run/uxc115—~971Automated safety check: PassMIT
Codebase Managementgiancarloerra/SocratiCode3.3k1 repos~1.8kAutomated safety check: PassAGPL-3.0

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More from ljxpython/ai-agent-platform

  • Plan Project

    ljxpython/ai-agent-platform

    AI 判断改动为链路改动或治理改动时自动调用（不需要用户手动触发），在 docs/projects/{YYYYMMDD}-{项目名}/ 下创建项目目录和核心文档（概览、方案、任务、验证）。跳过条件：单项目改动、纯讨论/探索性问题不调用。

    137 GitHub stars~1.6k tokensUpdated 2 days ago
    Auto-check passed

  • Verify Change

    ljxpython/ai-agent-platform

    AI 在链路改动/治理改动的功能实现完成后自动调用（不需要用户手动触发），执行验证测试并记录结果（含完成度四态判定）到项目文档的 verification.md。跳过条件：单项目改动只需单元测试+lint，不必套用四态记录格式。

    137 GitHub stars~1.3k tokensUpdated 2 days ago
    Auto-check passed

  • Runtime Smoke

    ljxpython/ai-agent-platform

    Validate the Dear Agent TXT input, approval and artifact delivery loop.

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Works with

Categories

Questions about Implement Feature

What does Implement Feature do?

AI 在项目文档（docs/projects/{YYYYMMDD}-{项目名}/）已存在时，实现任务过程中自动调用（不需要用户手动触发），记录改动细节到 implementation/ 目录。跳过条件：单项目改动的小改动不需要创建实现记录。. Implement Feature is an agent skill from ljxpython/ai-agent-platform.

When should I use Implement Feature?

Implement Feature fits situations like: AI & LLM Engineering work in your project.

How do I install Implement Feature in Claude Code?

Run `npx skills add ljxpython/ai-agent-platform --skill implement-feature -a claude-code`. Or copy the skill folder (.codex/skills/implement-feature in ljxpython/ai-agent-platform) into .claude/skills/implement-feature in your project. Claude Code loads it when a task matches its description.

How do I install Implement Feature in Codex?

Run `npx skills add ljxpython/ai-agent-platform --skill implement-feature -a codex`. Or copy the skill folder (.codex/skills/implement-feature in ljxpython/ai-agent-platform) into .agents/skills/implement-feature in your project. Codex loads it when a task matches its description.

Can I use Implement Feature 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 ljxpython/ai-agent-platform --skill implement-feature -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implement-feature, .gemini/skills/implement-feature, .github/skills/implement-feature and .opencode/skills/implement-feature in your project.

What does Implement Feature need to run?

SKILL.md names no scripts, command-line tools or credentials: Implement Feature is instructions for the agent only. Our summary lists: Python 3.

Does Implement Feature 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 Implement Feature 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 Implement Feature use?

No licence was found for Implement Feature or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Implement Feature use?

About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Implement Feature?

Skills that share tags, products or a category with Implement Feature: Agent Interface Design (Neeeophytee/finding-unknowns-skills, 343 stars), Backend Architecture (overmind-core/overmind, 544 stars), Ax Gen (dosco/aithy, 107 stars) and Hive MCP Skill (holon-run/uxc, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implement Feature?

ljxpython (a GitHub user) maintains it in ljxpython/ai-agent-platform, which has 137 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 6, 2026.

Source: ljxpython/ai-agent-platform on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.