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.
Analyze a ticket or feature description, read the codebase, identify risks, and write a context-rich implementation plan to plans/<feature-slug-plan.md.
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/harness-engineering-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/harness-engineering-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/harness-engineering-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/harness-engineering-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/harness-engineering-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/harness-engineering-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/harness-engineering-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/harness-engineering-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/harness-engineering-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/harness-engineering-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/harness-engineering-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/harness-engineering-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/harness-engineering-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/harness-engineering-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
- ~746 tokens
- SKILL.md length
- 239 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- None found
At a glance
Analyze a ticket or feature description, read the codebase, identify risks, and write a context-rich implementation plan to plans/<feature-slug-plan.md.
- Works in 5 steps: Understand the ticket → Read the codebase → Think through risks → …
- Tasks that involve Planning
- 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. Analyze a ticket or feature description, read the codebase, identify risks, and write a context-rich implementation plan to plans/<feature-slug-plan.md. No code is written in this phase.
Its SKILL.md is about 750 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 Agent Workflows, covering Planning.
When your agent uses it
- Tasks that involve Planning
Example prompts
- “/plan”
Requirements
- Node.js
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Understand the ticket
- Read the codebase
- Think through risks
- Write the plan to a file
- Confirm
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 746 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 239 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 239 words (~746 tokens).
- name
- plan
- disable-model-invocation
- true
Files
Just SKILL.md in 06-harnes/harness-engineering-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 | — | ~746 | Automated safety check: Pass | None | |
| Executing Plans Inlineobra/superpowers | 296k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Interview Meaddyosmani/agent-skills | 103k | 6 repos | ~3.8k | Automated safety check: Pass | MIT | |
| OpenSpec Guided OnboardingFission-AI/OpenSpec | 71k | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Writing Plansgeeksblabla/stateofdev.ma | 163 | 57 repos | ~661 | Automated safety check: Pass | None | |
| Subagent Driven DevelopmentAsvarox/allkaraoke | 261 | 38 repos | ~1.2k | Automated safety check: Pass | None |
Similar skills
Interview Me
addyosmani/agent-skills
Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.
OpenSpec Guided Onboarding
Fission-AI/OpenSpec
Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.
Writing Plans
geeksblabla/stateofdev.ma
A skill your agent uses when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file…
Subagent Driven Development
Asvarox/allkaraoke
A skill your agent uses when executing implementation plans with independent tasks in the current session
Planning With Files
jd-opensource/JoySafeter
Implements Manus-style file-based planning for complex tasks.
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PR Worktree
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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
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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.
Validate
juliepy/AI-Engineer-from-scrach
Run the full quality gate (ruff + mypy + pytest + tsc + vitest) and report PASS/FAIL for each command.
Implement
juliepy/AI-Engineer-from-scrach
读取计划文件，按依赖顺序执行每个任务并做任务级验证，最后写实现报告到 reports/<feature-implementation-report.md。
Related
Categories
Questions about Plan
What does Plan do?
Analyze a ticket or feature description, read the codebase, identify risks, and write a context-rich implementation plan to plans/<feature-slug-plan.md. Plan is an agent skill from juliepy/AI-Engineer-from-scrach.md.
When should I use Plan?
Plan fits situations like: tasks that involve Planning.
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/harness-engineering-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/harness-engineering-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: Node.js.
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 746 tokens (SKILL.md is roughly 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?
Skills that share tags, products or a category with Plan: Executing Plans Inline (obra/superpowers, 296k stars), Interview Me (addyosmani/agent-skills, 103k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 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.