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Agent skill

Implement Plan

by ChatbotXIO in ChatbotXIO/ChatbotX

Implement an already-approved technical plan from a plan path, executing the next unfinished task without replanning or expanding scope.

Custom licenceAuto-check: warningsAgent Workflows

Install Implement Plan

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add ChatbotXIO/ChatbotX --skill implement-plan -a claude-code

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

GitHub CLI
$ gh skill install ChatbotXIO/ChatbotX implement-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/ChatbotXIO/ChatbotX.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/implement-plan .claude/skills/implement-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
implement-plan
GitHub stars
878
Token cost
~756 tokens
SKILL.md length
384 words
Files
1
Skills in repo
18
Repo updated
First seen
Licence
Custom licence

At a glance

Implement an already-approved technical plan from a plan path, executing the next unfinished task without replanning or expanding scope.

  • Works in 7 steps: Read the plan completely. → Check completed items (- [x]). → Read the original ticket only if it is… → …
  • Agent Workflows work in your project
  • SKILL.md covers Operating Mode, Starting Workflow, Execution Rules and Plan Mismatch, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Implement Plan is an agent skill from ChatbotXIO/ChatbotX. Implement an already-approved technical plan from a plan path, executing the next unfinished task without replanning or expanding scope.

Its SKILL.md is about 760 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. The repository describes itself as: Open-source ManyChat alternative, built for AI. Omnichannel marketing across WhatsApp, TikTok, Facebook, Instagram, Telegram, Zalo, Email, API, and Webchat 🤖.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “/implement-plan”

Workflow steps

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

  1. Read the plan completely.
  2. Check completed items (- [x]).
  3. Read the original ticket only if it is referenced or provided.
  4. Read all files referenced by the plan.
  5. Read the surrounding implementation before editing.
  6. Create an internal task list.
  7. Implement the highest-priority unfinished task.

What it can do on your machine

Read from SKILL.md and the folder at commit 565c51a. 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.

    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 Plan loads about 756 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 384 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~756

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: warnings

The automated check found patterns that need a careful read before installing.

  • WarningTells the agent its actions are pre-authorized / not to stop for confirmationSKILL.md:39
    - Do not ask for approval before coding unless there is ambiguity, a plan mismatch, or an unsafe/destructive operation.

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 384 words (~756 tokens).

“Use this skill when the user gives an approved implementation plan and asks to implement it, continue it, or run implementation mode.”

— opening of SKILL.md by ChatbotXIO, Custom licence
name
implement-plan

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/implement-plan of ChatbotXIO/ChatbotX.

Open the folder on GitHubat commit 565c51a

Compare with similar skills

Implement 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.

Implement Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implement Plan this skillChatbotXIO/ChatbotX878—~756Automated safety check: WarnCustom licence
MCP Server Builderanthropics/skills180k62 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official37k11 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k34 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official37k8 repos~2.8kAutomated safety check: PassApache-2.0

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  • 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.

    296k GitHub starsUsed in 2 repos~5.1k tokens
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More from ChatbotXIO/ChatbotX

All 18 skills in this repo

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  • Business Data Access

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    878 GitHub stars~1.8k tokensUpdated today
    Auto-check passed

  • Chatbotx Basecode

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    878 GitHub stars~806 tokensUpdated today
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  • Contact Filter

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    Work with the ChatbotX contact filter system — the shared filter model behind the contacts list, conversations, and broadcast audiences.

    878 GitHub stars~2.5k tokensUpdated today
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  • Drizzle Database

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    878 GitHub stars~2.1k tokensUpdated today
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  • Flow Step Development

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Categories

Questions about Implement Plan

What does Implement Plan do?

Implement an already-approved technical plan from a plan path, executing the next unfinished task without replanning or expanding scope. Implement Plan is an agent skill from ChatbotXIO/ChatbotX. Implement an already-approved technical plan from a plan path, executing the next unfinished task without replanning or expanding scope.

When should I use Implement Plan?

Implement Plan fits situations like: agent Workflows work in your project.

How do I install Implement Plan in Claude Code?

Run `npx skills add ChatbotXIO/ChatbotX --skill implement-plan -a claude-code`. Or copy the skill folder (.agents/skills/implement-plan in ChatbotXIO/ChatbotX) into .claude/skills/implement-plan in your project. Claude Code loads it when a task matches its description.

How do I install Implement Plan in Codex?

Run `npx skills add ChatbotXIO/ChatbotX --skill implement-plan -a codex`. Or copy the skill folder (.agents/skills/implement-plan in ChatbotXIO/ChatbotX) into .agents/skills/implement-plan in your project. Codex loads it when a task matches its description.

Can I use Implement 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 ChatbotXIO/ChatbotX --skill implement-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/implement-plan, .gemini/skills/implement-plan, .github/skills/implement-plan and .opencode/skills/implement-plan in your project.

What does Implement Plan need to run?

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

Does Implement 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 Implement Plan safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.

What licence does Implement Plan use?

Implement Plan has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Implement Plan use?

About 756 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 Implement Plan?

Skills that share tags, products or a category with Implement Plan: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 37k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implement Plan?

ChatbotXIO (a GitHub organization) maintains it in ChatbotXIO/ChatbotX, which has 878 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 7, 2026.

Source: ChatbotXIO/ChatbotX on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.