Plan mode: write an actionable markdown plan to .hermes/plans/, no execution.

MITAuto-check passedAgent Workflows

Install Plan

skills CLI
$ npx skills add johnson7788/MultiUserClaw --skill plan -a claude-code

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

GitHub CLI
$ gh skill install johnson7788/MultiUserClaw 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/johnson7788/MultiUserClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/hermes-agent/skills/software-development/plan .claude/skills/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
plan
GitHub stars
327
Token cost
~2.2k tokens
SKILL.md length
835 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Plan mode: write an actionable markdown plan to .hermes/plans/, no execution.

  • Works in 6 steps: Understand Requirements → Explore the Codebase → Design Approach → …
  • Tasks that involve Planning
  • SKILL.md covers Core behavior, Output requirements, Save location and Interaction style, plus 8 more sections
  • Calls git and pytest

What it does

Plan is an agent skill from johnson7788/MultiUserClaw. Plan mode: write an actionable markdown plan to .hermes/plans/, no execution. Bite-sized tasks, exact paths, complete code.

Its SKILL.md is about 2.2k 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. The repository describes itself as: 目前OpenClaw和NanoBot都是用于个人的,不太支持多用户,基于多用户重新修改Bot,没有对Openclaw进行任何更改,原生能力封装. The licence is MIT.

When your agent uses it

  • Tasks that involve Planning

Example prompts

  • “/plan”

Requirements

  • Python 3
  • Docker

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Understand Requirements
  2. Explore the Codebase
  3. Design Approach
  4. Write Tasks
  5. Add Complete Details
  6. Review the Plan

What it can do on your machine

Read from SKILL.md and the folder at commit 2f88dfa. 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

    Shell commands in SKILL.md call:

    • git
    • pytest

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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 2.2k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 835 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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 johnson7788/MultiUserClaw at commit 2f88dfa, republished under its MIT licence (© johnson7788). 835 words, ~2,239 tokens.

Download SKILL.mdSave it as .claude/skills/plan/SKILL.md (or your agent's skills folder).
name
plan
description
Plan mode: write an actionable markdown plan to .hermes/plans/, no execution. Bite-sized tasks, exact paths, complete code.
version
2.0.0
author
Hermes Agent (writing-craft adapted from obra/superpowers)
license
MIT
platforms
linux, macos, windows

Plan Mode

Use this skill when the user wants a plan instead of execution.

Core behavior

For this turn, you are planning only.

  • Do not implement code.
  • Do not edit project files except the plan markdown file.
  • Do not run mutating terminal commands, commit, push, or perform external actions.
  • You may inspect the repo or other context with read-only commands/tools when needed.
  • Your deliverable is a markdown plan saved inside the active workspace under .hermes/plans/.

Output requirements

Write a markdown plan that is concrete and actionable.

Include, when relevant:

  • Goal
  • Current context / assumptions
  • Proposed approach
  • Step-by-step plan
  • Files likely to change
  • Tests / validation
  • Risks, tradeoffs, and open questions

If the task is code-related, include exact file paths, likely test targets, and verification steps.

Save location

Save the plan with write_file under:

  • .hermes/plans/YYYY-MM-DD_HHMMSS-<slug>.md

Treat that as relative to the active working directory / backend workspace. Hermes file tools are backend-aware, so using this relative path keeps the plan with the workspace on local, docker, ssh, modal, and daytona backends.

If the runtime provides a specific target path, use that exact path. If not, create a sensible timestamped filename yourself under .hermes/plans/.

Interaction style

  • If the request is clear enough, write the plan directly.
  • If no explicit instruction accompanies /plan, infer the task from the current conversation context.
  • If it is genuinely underspecified, ask a brief clarifying question instead of guessing.
  • After saving the plan, reply briefly with what you planned and the saved path.

Writing the Plan Well

The rest of this skill is the craft of authoring a good implementation plan — the content that goes inside the markdown file above.

Overview

Write comprehensive implementation plans assuming the implementer has zero context for the codebase and questionable taste. Document everything they need: which files to touch, complete code, testing commands, docs to check, how to verify. Give them bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.

Assume the implementer is a skilled developer but knows almost nothing about the toolset or problem domain. Assume they don't know good test design very well.

Core principle: A good plan makes implementation obvious. If someone has to guess, the plan is incomplete.

When a Full Implementation Plan Helps

Always use before:

  • Implementing multi-step features
  • Breaking down complex requirements
  • Delegating to subagents via subagent-driven-development

Don't skip when:

  • Feature seems simple (assumptions cause bugs)
  • You plan to implement it yourself (future you needs guidance)
  • Working alone (documentation matters)

Bite-Sized Task Granularity

Each task = 2-5 minutes of focused work.

Every step is one action:

  • "Write the failing test" — step
  • "Run it to make sure it fails" — step
  • "Implement the minimal code to make the test pass" — step
  • "Run the tests and make sure they pass" — step
  • "Commit" — step

Too big:

markdown
### Task 1: Build authentication system
[50 lines of code across 5 files]

Right size:

markdown
### Task 1: Create User model with email field
[10 lines, 1 file]

### Task 2: Add password hash field to User
[8 lines, 1 file]

### Task 3: Create password hashing utility
[15 lines, 1 file]

Plan Document Structure

Header (Required)

Every plan MUST start with:

markdown
# [Feature Name] Implementation Plan

> **For Hermes:** Use subagent-driven-development skill to implement this plan task-by-task.

**Goal:** [One sentence describing what this builds]

**Architecture:** [2-3 sentences about approach]

**Tech Stack:** [Key technologies/libraries]

---
Task Structure

Each task follows this format:

markdown
### Task N: [Descriptive Name]

**Objective:** What this task accomplishes (one sentence)

**Files:**
- Create: `exact/path/to/new_file.py`
- Modify: `exact/path/to/existing.py:45-67` (line numbers if known)
- Test: `tests/path/to/test_file.py`

**Step 1: Write failing test**

```python
def test_specific_behavior():
    result = function(input)
    assert result == expected
```

**Step 2: Run test to verify failure**

Run: `pytest tests/path/test.py::test_specific_behavior -v`
Expected: FAIL — "function not defined"

**Step 3: Write minimal implementation**

```python
def function(input):
    return expected
```

**Step 4: Run test to verify pass**

Run: `pytest tests/path/test.py::test_specific_behavior -v`
Expected: PASS

**Step 5: Commit**

```bash
git add tests/path/test.py src/path/file.py
git commit -m "feat: add specific feature"
```

Writing Process

Step 1: Understand Requirements

Read and understand:

  • Feature requirements
  • Design documents or user description
  • Acceptance criteria
  • Constraints
Step 2: Explore the Codebase

Use Hermes tools to understand the project:

python
# Understand project structure
search_files("*.py", target="files", path="src/")

# Look at similar features
search_files("similar_pattern", path="src/", file_glob="*.py")

# Check existing tests
search_files("*.py", target="files", path="tests/")

# Read key files
read_file("src/app.py")
Show full SKILL.md (334 more words)Show less
Step 3: Design Approach

Decide:

  • Architecture pattern
  • File organization
  • Dependencies needed
  • Testing strategy
Step 4: Write Tasks

Create tasks in order:

  1. Setup/infrastructure
  2. Core functionality (TDD for each)
  3. Edge cases
  4. Integration
  5. Cleanup/documentation
Step 5: Add Complete Details

For each task, include:

  • Exact file paths (not "the config file" but src/config/settings.py)
  • Complete code examples (not "add validation" but the actual code)
  • Exact commands with expected output
  • Verification steps that prove the task works
Step 6: Review the Plan

Check:

  • Tasks are sequential and logical
  • Each task is bite-sized (2-5 min)
  • File paths are exact
  • Code examples are complete (copy-pasteable)
  • Commands are exact with expected output
  • No missing context
  • DRY, YAGNI, TDD principles applied

Principles

DRY (Don't Repeat Yourself)

Bad: Copy-paste validation in 3 places Good: Extract validation function, use everywhere

YAGNI (You Aren't Gonna Need It)

Bad: Add "flexibility" for future requirements Good: Implement only what's needed now

python
# Bad — YAGNI violation
class User:
    def __init__(self, name, email):
        self.name = name
        self.email = email
        self.preferences = {}  # Not needed yet!
        self.metadata = {}     # Not needed yet!

# Good — YAGNI
class User:
    def __init__(self, name, email):
        self.name = name
        self.email = email
TDD (Test-Driven Development)

Every task that produces code should include the full TDD cycle:

  1. Write failing test
  2. Run to verify failure
  3. Write minimal code
  4. Run to verify pass

See test-driven-development skill for details.

Frequent Commits

Commit after every task:

bash
git add [files]
git commit -m "type: description"

Common Mistakes

Vague Tasks

Bad: "Add authentication" Good: "Create User model with email and password_hash fields"

Incomplete Code

Bad: "Step 1: Add validation function" Good: "Step 1: Add validation function" followed by the complete function code

Missing Verification

Bad: "Step 3: Test it works" Good: "Step 3: Run pytest tests/test_auth.py -v, expected: 3 passed"

Missing File Paths

Bad: "Create the model file" Good: "Create: src/models/user.py"

Execution Handoff

After saving the plan, offer the execution approach:

"Plan complete and saved. Ready to execute using subagent-driven-development — I'll dispatch a fresh subagent per task with two-stage review (spec compliance then code quality). Shall I proceed?"

When executing, use the subagent-driven-development skill:

  • Fresh delegate_task per task with full context
  • Spec compliance review after each task
  • Code quality review after spec passes
  • Proceed only when both reviews approve

Remember

Bite-sized tasks (2-5 min each)
Exact file paths
Complete code (copy-pasteable)
Exact commands with expected output
Verification steps
DRY, YAGNI, TDD
Frequent commits

A good plan makes implementation obvious.

© johnson7788, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in hermes-agent/skills/software-development/plan of johnson7788/MultiUserClaw.

Open the folder on GitHubat commit 2f88dfa

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.

Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Plan this skilljohnson7788/MultiUserClaw327—~2.2kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills103k6 repos~3.8kAutomated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec71k1 repos~4.5kAutomated safety check: PassMIT
Writing Plansgeeksblabla/stateofdev.ma16357 repos~661Automated safety check: PassNone
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone

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Categories

Questions about Plan

What does Plan do?

Plan mode: write an actionable markdown plan to .hermes/plans/, no execution. Plan is an agent skill from johnson7788/MultiUserClaw.hermes/plans/, no execution.

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 johnson7788/MultiUserClaw --skill plan -a claude-code`. Or copy the skill folder (hermes-agent/skills/software-development/plan in johnson7788/MultiUserClaw) 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 johnson7788/MultiUserClaw --skill plan -a codex`. Or copy the skill folder (hermes-agent/skills/software-development/plan in johnson7788/MultiUserClaw) 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 johnson7788/MultiUserClaw --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?

Going by SKILL.md and its folder, Plan needs the command-line tools its instructions call (git and pytest). Our summary lists: Python 3; Docker.

Does Plan access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. 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?

Plan is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Plan use?

About 2.2k tokens (SKILL.md is roughly 9k 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?

johnson7788 (a GitHub user) maintains it in johnson7788/MultiUserClaw, which has 327 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on August 13, 2026.

Source: johnson7788/MultiUserClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.