Agent Interface Design
Neeeophytee/finding-unknowns-skills
Design tools, scripts, and CLIs that an agent will call, so the interface teaches its own use instead of a wall of prose and examples.
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。
Install Plan Project
$ npx skills add ljxpython/ai-agent-platform --skill plan-project -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ljxpython/ai-agent-platform plan-project --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ljxpython/ai-agent-platform.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/plan-project .claude/skills/plan-project && rm -rf skills-srcUse ~/.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/
Install the "plan-project" agent skill from https://github.com/ljxpython/ai-agent-platform/tree/main/.codex/skills/plan-project into .claude/skills/plan-project/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan-project", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ljxpython/ai-agent-platform/tree/main/.codex/skills/plan-projectType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ljxpython/ai-agent-platform --skill plan-project -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ljxpython/ai-agent-platform plan-project --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ljxpython/ai-agent-platform.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/plan-project .agents/skills/plan-project && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "plan-project" agent skill from https://github.com/ljxpython/ai-agent-platform/tree/main/.codex/skills/plan-project into .agents/skills/plan-project/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan-project", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ljxpython/ai-agent-platform --skill plan-project -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ljxpython/ai-agent-platform plan-project --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ljxpython/ai-agent-platform.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/plan-project .cursor/skills/plan-project && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "plan-project" agent skill from https://github.com/ljxpython/ai-agent-platform/tree/main/.codex/skills/plan-project into .cursor/skills/plan-project/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan-project", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ljxpython/ai-agent-platform.git --path .codex/skills/plan-project--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ljxpython/ai-agent-platform --skill plan-project -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ljxpython/ai-agent-platform plan-project --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ljxpython/ai-agent-platform.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/plan-project .gemini/skills/plan-project && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "plan-project" agent skill from https://github.com/ljxpython/ai-agent-platform/tree/main/.codex/skills/plan-project into .gemini/skills/plan-project/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan-project", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ljxpython/ai-agent-platform plan-projectInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ljxpython/ai-agent-platform --skill plan-project -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ljxpython/ai-agent-platform.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/plan-project .github/skills/plan-project && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "plan-project" agent skill from https://github.com/ljxpython/ai-agent-platform/tree/main/.codex/skills/plan-project into .github/skills/plan-project/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan-project", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ljxpython/ai-agent-platform --skill plan-project -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ljxpython/ai-agent-platform plan-project --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ljxpython/ai-agent-platform.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/plan-project .opencode/skills/plan-project && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "plan-project" agent skill from https://github.com/ljxpython/ai-agent-platform/tree/main/.codex/skills/plan-project into .opencode/skills/plan-project/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan-project", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
plan-project- GitHub stars
- 137
- Token cost
- ~1.6k tokens
- SKILL.md length
- 121 words
- Files
- 1
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- None found
At a glance
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。
- Works in 3 steps: 确定项目信息（AI 从对话上下文自行判断，只在真正不确定时才问用户） → 选择模板档位（见下方「模板档位」，默认标准模板，满足升级条件才用多专题模板） → 创建项目目录、生成核心文档（按选定档位，见下方对应模板）
- AI & LLM Engineering work in your project
- SKILL.md covers 触发条件, 跳过条件, 工作流 and 模板档位, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Plan Project is an agent skill from 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。
Its SKILL.md is about 1.6k 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
- “/plan-project”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 确定项目信息（AI 从对话上下文自行判断，只在真正不确定时才问用户）
- 选择模板档位（见下方「模板档位」，默认标准模板，满足升级条件才用多专题模板）
- 创建项目目录、生成核心文档（按选定档位，见下方对应模板）
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).
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
Plan Project loads about 1.6k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 121 words of instructions outside code blocks.
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 121 words (~1,570 tokens).
“用于规划新的项目或重构，创建项目文档结构。这是 AI 在判断出改动级别后自动调用的 Skill，用户通常不需要手动触发——判断标准见 AGENTS.md 的「改动分级」。”
- name
- plan-project
Files
Just SKILL.md in .codex/skills/plan-project of ljxpython/ai-agent-platform.
Open the folder on GitHubat commit 4926590
Compare with similar skills
Plan Project 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Plan Project this skillljxpython/ai-agent-platform | 137 | — | ~1.6k | Automated safety check: Pass | None | |
| Agent Interface DesignNeeeophytee/finding-unknowns-skills | 343 | — | ~650 | Automated safety check: Pass | MIT | |
| Hive MCP Skillholon-run/uxc | 116 | — | ~971 | Automated safety check: Pass | MIT | |
| Codebase Managementgiancarloerra/SocratiCode | 3.3k | 1 repos | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| AutoRAG Setup and RepairMarker-Inc-Korea/AutoRAG | 5.1k | — | ~5.3k | Automated safety check: Pass | MIT | |
| Openmaopenma-ai/open-managed-agents | 315 | — | ~854 | Automated safety check: Pass | Apache-2.0 |
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Questions about Plan Project
What does Plan Project do?
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。. Plan Project is an agent skill from ljxpython/ai-agent-platform.
When should I use Plan Project?
Plan Project fits situations like: AI & LLM Engineering work in your project.
How do I install Plan Project in Claude Code?
Run `npx skills add ljxpython/ai-agent-platform --skill plan-project -a claude-code`. Or copy the skill folder (.codex/skills/plan-project in ljxpython/ai-agent-platform) into .claude/skills/plan-project in your project. Claude Code loads it when a task matches its description.
How do I install Plan Project in Codex?
Run `npx skills add ljxpython/ai-agent-platform --skill plan-project -a codex`. Or copy the skill folder (.codex/skills/plan-project in ljxpython/ai-agent-platform) into .agents/skills/plan-project in your project. Codex loads it when a task matches its description.
Can I use Plan Project 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 plan-project -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/plan-project, .gemini/skills/plan-project, .github/skills/plan-project and .opencode/skills/plan-project in your project.
What does Plan Project need to run?
SKILL.md names no scripts, command-line tools or credentials: Plan Project is instructions for the agent only.
Does Plan Project 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 Plan Project 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 Plan Project use?
No licence was found for Plan Project or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Plan Project use?
About 1.6k tokens (SKILL.md is roughly 6.3k 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 Plan Project?
Skills that share tags, products or a category with Plan Project: Agent Interface Design (Neeeophytee/finding-unknowns-skills, 343 stars), Hive MCP Skill (holon-run/uxc, 116 stars), Codebase Management (giancarloerra/SocratiCode, 3.3k stars) and AutoRAG Setup and Repair (Marker-Inc-Korea/AutoRAG, 5.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Plan Project?
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 8, 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.