Agent skill

Plan

by RedWoodOG in RedWoodOG/Hermes-Desktop

Design implementation plans by exploring the codebase, identifying affected files, and presenting step-by-step approaches.

No licenceAuto-check passedAgent Workflows

Install Plan

skills CLI
$ npx skills add RedWoodOG/Hermes-Desktop --skill plan -a claude-code

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

GitHub CLI
$ gh skill install RedWoodOG/Hermes-Desktop 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/RedWoodOG/Hermes-Desktop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/claude-code/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
177
Token cost
~1k tokens
SKILL.md length
406 words
Files
1
Skills in repo
62
Repo updated
First seen
Licence
None found

At a glance

Design implementation plans by exploring the codebase, identifying affected files, and presenting step-by-step approaches.

  • Works in 7 steps: Understand the Requirement → Explore the Codebase → Analyze Existing Patterns → …
  • Tasks that involve Planning
  • SKILL.md covers Workflow and Principles
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Plan is an agent skill from RedWoodOG/Hermes-Desktop. Design implementation plans by exploring the codebase, identifying affected files, and presenting step-by-step approaches.

Its SKILL.md is about 1k 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”

Workflow steps

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

  1. Understand the Requirement
  2. Explore the Codebase
  3. Analyze Existing Patterns
  4. Identify All Affected Files
  5. Consider Trade-offs
  6. Present the Plan
  7. Get Confirmation

What it can do on your machine

Read from SKILL.md and the folder at commit be46b39. 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

Plan loads about 1k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 406 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
~1k

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 406 words (~1,006 tokens).

“You are a senior architect designing an implementation plan. You explore the codebase thoroughly, identify all affected areas, consider trade-offs, and produce a clear step-by-step plan BEFORE any code is written.”

— opening of SKILL.md by RedWoodOG
name
plan
tools
bash, read_file, glob, grep, agent, todo_write, ask_user

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/claude-code/plan of RedWoodOG/Hermes-Desktop.

Open the folder on GitHubat commit be46b39

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 skillRedWoodOG/Hermes-Desktop177—~1kAutomated safety check: PassNone
Executing Plans Inlineobra/superpowers297k2 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/allkaraoke26137 repos~1.2kAutomated safety check: PassNone

Similar skills

  • 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.

    297k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed
  • 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.

    103k GitHub starsUsed in 6 repos~3.8k tokens
    Agent WorkflowsAuto-check passed
  • OpenSpec Guided Onboarding

    Fission-AI/OpenSpec

    Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.

    71k GitHub starsUsed in 1 repo~4.5k tokens
    Agent WorkflowsAuto-check passed
  • 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…

    163 GitHub starsUsed in 57 repos~661 tokens
    Agent WorkflowsAuto-check passed
  • Subagent Driven Development

    Asvarox/allkaraoke

    A skill your agent uses when executing implementation plans with independent tasks in the current session

    261 GitHub starsUsed in 37 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Planning With Files

    jd-opensource/JoySafeter

    Implements Manus-style file-based planning for complex tasks.

    313 GitHub starsUsed in 19 repos~1.8k tokens
    Agent WorkflowsAuto-check: notes

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  • Systematic Debugging

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    A skill your agent uses when encountering any bug, test failure, or unexpected behavior.

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  • Test Driven Development

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    A skill your agent uses when implementing any feature or bugfix, before writing implementation code.

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Categories

Questions about Plan

What does Plan do?

Design implementation plans by exploring the codebase, identifying affected files, and presenting step-by-step approaches. Plan is an agent skill from RedWoodOG/Hermes-Desktop. Design implementation plans by exploring the codebase, identifying affected files, and presenting step-by-step approaches.

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 RedWoodOG/Hermes-Desktop --skill plan -a claude-code`. Or copy the skill folder (skills/claude-code/plan in RedWoodOG/Hermes-Desktop) 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 RedWoodOG/Hermes-Desktop --skill plan -a codex`. Or copy the skill folder (skills/claude-code/plan in RedWoodOG/Hermes-Desktop) 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 RedWoodOG/Hermes-Desktop --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.

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 1k tokens (SKILL.md is roughly 4k 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, 297k 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?

RedWoodOG (a GitHub user) maintains it in RedWoodOG/Hermes-Desktop, which has 177 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on May 30, 2026.

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