Agent skill

01 Plan

by ai-driven-dev in ai-driven-dev/framework

Turn a request, ticket, or file into a phased implementation plan.

MITAuto-check passedAgent Workflows

Install 01 Plan

skills CLI
$ npx skills add ai-driven-dev/framework --skill 01-plan -a claude-code

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

GitHub CLI
$ gh skill install ai-driven-dev/framework 01-plan --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/ai-driven-dev/framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/aidd-dev/skills/01-plan .claude/skills/01-plan && 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
01-plan
GitHub stars
510
Token cost
~517 tokens
SKILL.md length
222 words
Files
9 (incl. references, assets)
Skills in repo
52
Repo updated
First seen
Licence
MIT

At a glance

Turn a request, ticket, or file into a phased implementation plan.

  • Plan a feature before building
  • SKILL.md covers Actions, References and Assets
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Turn a ticket into phases

What it does

01 Plan is an agent skill from ai-driven-dev/framework. Turn a request, ticket, or file into a phased implementation plan. Use to plan a feature before building, or to turn a ticket into phases. Do NOT use to write code or review a diff.

Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files and assets (for example `actions/01-gather.md`, `actions/02-explore.md` and `actions/03-wireframe.md`).

It sits in Agent Workflows, covering Planning and Code review. The repository describes itself as: Marketplace Framework AI-Driven Dev : Context Engineering, Plugins, Agents, Skills, Hooks, Templates, SDLC. The licence is MIT.

When your agent uses it

  • Plan a feature before building
  • Turn a ticket into phases

Example prompts

  • “/01-plan”

What it can do on your machine

Read from SKILL.md and the folder at commit 6e30640. 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 bash).

    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

01 Plan loads about 517 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 222 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~517
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

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 ai-driven-dev/framework at commit 6e30640, republished under its MIT licence (© ai-driven-dev). 222 words, ~517 tokens.

Download SKILL.mdSave it as .claude/skills/01-plan/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
01-plan
description
Turn a request, ticket, or file into a phased implementation plan. Use to plan a feature before building, or to turn a ticket into phases. Do NOT use to write code or review a diff.
argument-hint
request | ticket | file

Skill: plan

Turn a gathered source into an implementation plan and its phase files. Never writes code.

Actions

#ActionRoleInput
01gatherCollect and restate the sourceuser request
02exploreRead the codebase for projection, rules, feasibilitygathered source
03wireframeSketch a screen at low fidelity, frontend onlysource + explore context
04planBreak into phases, write the plan and phase filesexplore output + wireframe

Run them in order, 01 → 04. The plan is the culmination. Skip 03 when there is no UI. Before running an action, read its file in actions/, not only the table or assets.

Once the plan and its phase files are written, and only then, run:

shell
echo "aidd:step-end aidd-dev:01-plan"

This is the one thing about a step nothing else can supply. No host reports when a skill's work finished — a skill call's own result comes back in a tenth of a second, which is the dispatch, not the completion — so a measurement that never hears this ends the step at the next pause and credits planning with one turn out of however many it took. The framework repository documents the run journal this writes into, in aidd_docs/runs/README.md.

References

  • references/wireframe-conventions.md: how to draw the ASCII wireframe a screen needs.
  • references/plan-status.md: the plan lifecycle status values and who writes each.

Assets

  • assets/plan-template.md: the plan.md scaffold.
  • assets/phase-template.md: the per-phase scaffold.

© ai-driven-dev, 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 8 other files (references, assets) in plugins/aidd-dev/skills/01-plan of ai-driven-dev/framework.

  • SKILL.md
  • actions/01-gather.md
  • actions/02-explore.md
  • actions/03-wireframe.md
  • actions/04-plan.md
  • assets/phase-template.md
  • assets/plan-template.md
  • references/plan-status.md
  • references/wireframe-conventions.md

Open the folder on GitHubat commit 6e30640

Compare with similar skills

01 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.

01 Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
01 Plan this skillai-driven-dev/framework510—~517Automated safety check: PassMIT
Plannotator Visual Explainerbacknotprop/plannotator9.2k—~1.7kAutomated safety check: PassApache-2.0
Codenote Fix PromptPhilip-Cao-9527/code-note-helper273—~931Automated safety check: PassMIT
Explorexwtro0tk1t-cloud/harness265—~1.6kAutomated safety check: PassNone
Project Prompt CreatorPhilip-Cao-9527/code-note-helper273—~693Automated safety check: PassMIT
Plan Reviewsd0xdev/sd0x-harness192—~3.9kAutomated safety check: PassMIT

Similar skills

  • Plannotator Visual Explainer

    backnotprop/plannotator

    Builds self-contained HTML explainers for plans, pull requests and technical concepts in Plannotator's theme, then opens them in its annotation view.

    9.2k GitHub stars~1.7k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Codenote Fix Prompt

    Philip-Cao-9527/code-note-helper

    为 CodeNote Helper 生成普通开发、修复、验证、治理、文档和审核友好类中文执行 prompt。用于把一次具体任务整理成可直接交给 Codex 或 Agent 执行的 prompt;不承载 Plan mode prompt、code review prompt 或项目 skill creator 的完整职责。

    273 GitHub stars~931 tokensUpdated 2 mo ago
    Agent WorkflowsAuto-check passed
  • Explore

    xwtro0tk1t-cloud/harness

    Graph-driven project understanding using code-review-graph (CRG).

    265 GitHub stars~1.6k tokensUpdated 5 mo ago
    Agent WorkflowsAuto-check passed
  • Project Prompt Creator

    Philip-Cao-9527/code-note-helper

    在项目 AGENTS.md 约束下生成可直接交给 Codex 或 Agent 执行的中文任务 prompt。用于开发、修复、文档、验证、审计、治理或交接任务的 prompt 化,但不承载 Plan mode 和 code review 的完整模式规则。

    273 GitHub stars~693 tokensUpdated 2 mo ago
    Agent WorkflowsAuto-check passed
  • Plan Review

    sd0xdev/sd0x-harness

    Pre-ExitPlanMode adversarial plan review loop via Codex exec.

    192 GitHub stars~3.9k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Subagent Driven Development

    aiskillstore/marketplace

    A skill your agent uses when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast…

    430 GitHub starsUsed in 1 repo~1.3k tokens
    Agent WorkflowsAuto-check passed

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  • 00 Onboard

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  • 01 Acceptance QA

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  • 01 Brainstorm

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Categories

Questions about 01 Plan

What does 01 Plan do?

Turn a request, ticket, or file into a phased implementation plan. 01 Plan is an agent skill from ai-driven-dev/framework. Turn a request, ticket, or file into a phased implementation plan.

When should I use 01 Plan?

01 Plan fits situations like: plan a feature before building; turn a ticket into phases.

How do I install 01 Plan in Claude Code?

Run `npx skills add ai-driven-dev/framework --skill 01-plan -a claude-code`. Or copy the skill folder (plugins/aidd-dev/skills/01-plan in ai-driven-dev/framework) into .claude/skills/01-plan in your project. Claude Code loads it when a task matches its description.

How do I install 01 Plan in Codex?

Run `npx skills add ai-driven-dev/framework --skill 01-plan -a codex`. Or copy the skill folder (plugins/aidd-dev/skills/01-plan in ai-driven-dev/framework) into .agents/skills/01-plan in your project. Codex loads it when a task matches its description.

Can I use 01 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 ai-driven-dev/framework --skill 01-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/01-plan, .gemini/skills/01-plan, .github/skills/01-plan and .opencode/skills/01-plan in your project.

What does 01 Plan need to run?

SKILL.md names no scripts, command-line tools or credentials: 01 Plan is instructions for the agent only.

Does 01 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 01 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 01 Plan use?

01 Plan 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 01 Plan use?

About 517 tokens (SKILL.md is roughly 2.1k 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 829 tokens, read only when the agent opens those files.

What are the alternatives to 01 Plan?

Skills that share tags, products or a category with 01 Plan: Plannotator Visual Explainer (backnotprop/plannotator, 9.2k stars), Codenote Fix Prompt (Philip-Cao-9527/code-note-helper, 273 stars), Explore (xwtro0tk1t-cloud/harness, 265 stars) and Project Prompt Creator (Philip-Cao-9527/code-note-helper, 273 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains 01 Plan?

ai-driven-dev (a GitHub organization) maintains it in ai-driven-dev/framework, which has 510 GitHub stars. The repository holds 52 skills in this directory. The repository was last updated on October 7, 2026.

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