Plan
codewhale-hq/Codewhale
Turn a sufficiently understood task into an ordered implementation plan with dependencies and verification.
分析功能需求，读取代码库，识别风险，将计划写入 plans/<feature-plan.md。此阶段不写代码. An agent skill from juliepy/AI-Engineer-from-scrach.
No licenceAuto-check passed
Install Plan
$ npx skills add juliepy/AI-Engineer-from-scrach --skill plan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install juliepy/AI-Engineer-from-scrach plan --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/juliepy/AI-Engineer-from-scrach.git skills-src && mkdir -p .claude/skills && cp -r skills-src/06-harnes/02-rag-harness-demo/.claude/skills/plan .claude/skills/plan && 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" agent skill from https://github.com/juliepy/AI-Engineer-from-scrach/tree/main/06-harnes/02-rag-harness-demo/.claude/skills/plan into .claude/skills/plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan", 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/juliepy/AI-Engineer-from-scrach/tree/main/06-harnes/02-rag-harness-demo/.claude/skills/planType 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 juliepy/AI-Engineer-from-scrach --skill plan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install juliepy/AI-Engineer-from-scrach plan --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/juliepy/AI-Engineer-from-scrach.git skills-src && mkdir -p .agents/skills && cp -r skills-src/06-harnes/02-rag-harness-demo/.claude/skills/plan .agents/skills/plan && 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" agent skill from https://github.com/juliepy/AI-Engineer-from-scrach/tree/main/06-harnes/02-rag-harness-demo/.claude/skills/plan into .agents/skills/plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan", 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 juliepy/AI-Engineer-from-scrach --skill plan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install juliepy/AI-Engineer-from-scrach plan --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/juliepy/AI-Engineer-from-scrach.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/06-harnes/02-rag-harness-demo/.claude/skills/plan .cursor/skills/plan && 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" agent skill from https://github.com/juliepy/AI-Engineer-from-scrach/tree/main/06-harnes/02-rag-harness-demo/.claude/skills/plan into .cursor/skills/plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan", 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/juliepy/AI-Engineer-from-scrach.git --path 06-harnes/02-rag-harness-demo/.claude/skills/plan--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 juliepy/AI-Engineer-from-scrach --skill plan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install juliepy/AI-Engineer-from-scrach plan --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/juliepy/AI-Engineer-from-scrach.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/06-harnes/02-rag-harness-demo/.claude/skills/plan .gemini/skills/plan && 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" agent skill from https://github.com/juliepy/AI-Engineer-from-scrach/tree/main/06-harnes/02-rag-harness-demo/.claude/skills/plan into .gemini/skills/plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan", 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 juliepy/AI-Engineer-from-scrach planInstalls 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 juliepy/AI-Engineer-from-scrach --skill plan -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/juliepy/AI-Engineer-from-scrach.git skills-src && mkdir -p .github/skills && cp -r skills-src/06-harnes/02-rag-harness-demo/.claude/skills/plan .github/skills/plan && 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" agent skill from https://github.com/juliepy/AI-Engineer-from-scrach/tree/main/06-harnes/02-rag-harness-demo/.claude/skills/plan into .github/skills/plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan", 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 juliepy/AI-Engineer-from-scrach --skill plan -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install juliepy/AI-Engineer-from-scrach plan --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/juliepy/AI-Engineer-from-scrach.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/06-harnes/02-rag-harness-demo/.claude/skills/plan .opencode/skills/plan && 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" agent skill from https://github.com/juliepy/AI-Engineer-from-scrach/tree/main/06-harnes/02-rag-harness-demo/.claude/skills/plan into .opencode/skills/plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plan", 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- GitHub stars
- 433
- Token cost
- ~371 tokens
- SKILL.md length
- 76 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- None found
At a glance
分析功能需求，读取代码库，识别风险，将计划写入 plans/<feature-plan.md。此阶段不写代码. An agent skill from juliepy/AI-Engineer-from-scrach.
- Works in 5 steps: 理解需求 → 读取代码库 → 评估风险 → …
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Plan is an agent skill from juliepy/AI-Engineer-from-scrach. 分析功能需求，读取代码库，识别风险，将计划写入 plans/<feature-plan.md。此阶段不写代码。
Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
Example prompts
- “/plan”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- 理解需求
- 读取代码库
- 评估风险
- 将计划写入文件
- 确认
What it can do on your machine
Read from SKILL.md and the folder at commit d9e02cb. 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 loads about 371 tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 76 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 76 words (~371 tokens).
- name
- plan
- disable-model-invocation
- true
Files
Just SKILL.md in 06-harnes/02-rag-harness-demo/.claude/skills/plan of juliepy/AI-Engineer-from-scrach.
Open the folder on GitHubat commit d9e02cb
Compare with similar skills
Plan 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 this skilljuliepy/AI-Engineer-from-scrach | 433 | — | ~371 | Automated safety check: Pass | None | |
| Plancodewhale-hq/Codewhale | 41k | — | ~213 | Automated safety check: Pass | MIT | |
| Planningn8n-io/n8n | 207k | — | ~2.5k | Automated safety check: Pass | Custom licence | |
| Planasgeirtj/system_prompts_leaks | 69k | — | ~5.1k | Automated safety check: Pass | CC0-1.0 | |
| Review Planpenpot/penpot | 61k | — | ~841 | Automated safety check: Pass | MPL-2.0 | |
| Make A Planpenpot/penpot | 61k | — | ~1.6k | Automated safety check: Pass | MPL-2.0 |
Similar skills
- Official
Planning
n8n-io/n8n
ONLY for coordinated multi-artifact work: multiple workflows with dependencies, shared data-table schema/migration across tasks, or the user explicitly asked to review a plan first.
Plan
asgeirtj/system_prompts_leaks
On an explicit planning request, always call readskill for this skill before answering.
Review Plan
penpot/penpot
Plan review flow — evaluate an implementation plan before it is executed, delegating the review to a subagent that follows the plan-review-criteria skill.
Make A Plan
penpot/penpot
Planning flow — research the subject of this session, produce an implementation plan with the planner skill, resolve open questions with the user in plain language, and save the final plan to…
Executing Plans Inline
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
More from juliepy/AI-Engineer-from-scrach
All 15 skills in this repoHarness Creator
juliepy/AI-Engineer-from-scrach
Build, audit, and improve lightweight harnesses for AI coding agents: AGENTS.md/CLAUDE.md, feature state, verification workflows, scope boundaries, lifecycle handoff, memory persistence, context…
PR Worktree
juliepy/AI-Engineer-from-scrach
Create and tear down the throwaway git worktrees used to test community PRs for waku-agent, without leaking API keys or leaving branches behind.
Review PR
juliepy/AI-Engineer-from-scrach
Review an incoming community PR for waku-agent and present it Sean's way — bilingual (English + 中文), three fixed sections: what they did & why it matters, verdict (merge / change / close), and how…
Implement
juliepy/AI-Engineer-from-scrach
Read a plan file, execute every task in dependency order with per-task validation, then write an implementation report to reports/<feature-slug-implementation-report.md.
Plan
juliepy/AI-Engineer-from-scrach
Analyze a ticket or feature description, read the codebase, identify risks, and write a context-rich implementation plan to plans/<feature-slug-plan.md.
Validate
juliepy/AI-Engineer-from-scrach
Run the full quality gate (ruff + mypy + pytest + tsc + vitest) and report PASS/FAIL for each command.
Questions about Plan
What does Plan do?
分析功能需求，读取代码库，识别风险，将计划写入 plans/<feature-plan.md。此阶段不写代码. An agent skill from juliepy/AI-Engineer-from-scrach. Plan is an agent skill from juliepy/AI-Engineer-from-scrach.
How do I install Plan in Claude Code?
Run `npx skills add juliepy/AI-Engineer-from-scrach --skill plan -a claude-code`. Or copy the skill folder (06-harnes/02-rag-harness-demo/.claude/skills/plan in juliepy/AI-Engineer-from-scrach) into .claude/skills/plan in your project. Claude Code loads it when a task matches its description.
How do I install Plan in Codex?
Run `npx skills add juliepy/AI-Engineer-from-scrach --skill plan -a codex`. Or copy the skill folder (06-harnes/02-rag-harness-demo/.claude/skills/plan in juliepy/AI-Engineer-from-scrach) into .agents/skills/plan in your project. Codex loads it when a task matches its description.
Can I use Plan 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 juliepy/AI-Engineer-from-scrach --skill plan -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, .gemini/skills/plan, .github/skills/plan and .opencode/skills/plan in your project.
What does Plan need to run?
SKILL.md names no scripts, command-line tools or credentials: Plan is instructions for the agent only. Our summary lists: Python 3.
Does Plan 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 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 use?
No licence was found for Plan or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Plan use?
About 371 tokens (SKILL.md is roughly 1.5k 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?
Skills that share tags, products or a category with Plan: Plan (codewhale-hq/Codewhale, 41k stars), Planning (n8n-io/n8n, 207k stars), Plan (asgeirtj/system_prompts_leaks, 69k stars) and Review Plan (penpot/penpot, 61k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Plan?
juliepy (a GitHub user) maintains it in juliepy/AI-Engineer-from-scrach, which has 433 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 6, 2026.
Source: juliepy/AI-Engineer-from-scrach on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.