Agent skill

Cross Agent Plan

by prassanna-ravishankar in prassanna-ravishankar/repowire

Get an independent implementation plan from a DIFFERENT AI agent over the repowire mesh before you build (e.g.

No licenceAuto-check passedAgent Workflows

Install Cross Agent Plan

skills CLI
$ npx skills add prassanna-ravishankar/repowire --skill cross-agent-plan -a claude-code

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

GitHub CLI
$ gh skill install prassanna-ravishankar/repowire cross-agent-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/prassanna-ravishankar/repowire.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cross-agent-plan .claude/skills/cross-agent-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
cross-agent-plan
GitHub stars
264
Token cost
~412 tokens
SKILL.md length
189 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
None found

At a glance

Get an independent implementation plan from a DIFFERENT AI agent over the repowire mesh before you build (e.g.

  • Works in 3 steps: Explicit argument — if the user named a… → Configured default — else → Safe fallback — else pick an online peer…
  • You want a second perspective on how to approach a task
  • SKILL.md covers Resolve the planner backend and Run the planning round
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cross Agent Plan is an agent skill from prassanna-ravishankar/repowire. Get an independent implementation plan from a DIFFERENT AI agent over the repowire mesh before you build (e.g. have Pi or Codex draft an approach for Claude to critique). Use when you want a second perspective on how to approach a task.

Its SKILL.md is about 410 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. It works with Model Context Protocol. The repository describes itself as: May the agents talk . Connect Claude Code, Opencode, Codex, Pi across projects, across machines and with your telegram.

When your agent uses it

  • You want a second perspective on how to approach a task
  • Tasks that involve Planning

Example prompts

  • “/cross-agent-plan”

Workflow steps

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

  1. Explicit argument — if the user named a backend, use it.
  2. Configured default — else
  3. Safe fallback — else pick an online peer on a backend different from yours,

What it can do on your machine

Read from SKILL.md and the folder at commit 7c8100a. 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

Cross Agent Plan loads about 412 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 189 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~412

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 189 words (~412 tokens).

“Ask a peer running a different agent backend to draft (or critique) a plan, so the planning perspective is genuinely independent.”

— opening of SKILL.md by prassanna-ravishankar
name
cross-agent-plan

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/cross-agent-plan of prassanna-ravishankar/repowire.

Open the folder on GitHubat commit 7c8100a

Compare with similar skills

Cross Agent 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.

Cross Agent Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cross Agent Plan this skillprassanna-ravishankar/repowire264—~412Automated safety check: PassNone
Codex with ChatGPT Planning LoopXiaoDuoYa/codex-with-chatgpt7.2k—~11kAutomated safety check: NotesMIT
Agentic Tool Integrationsamugit83/redamon3k—~1.3kAutomated safety check: PassMIT
agtx Task Planningfynnfluegge/agtx1.7k—~439Automated safety check: PassApache-2.0
Discoveranombyte93/prd-taskmaster605—~2.4kAutomated safety check: PassMIT
Auto Review LoopCurryTang/Amadeus176—~4.3kAutomated safety check: NotesNone

Similar skills

  • Codex with ChatGPT Planning Loop

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    Uses ChatGPT in the browser as the planning and review brain for a Codex session, with Codex keeping all execution and ChatGPT reading the workspace through a bridge.

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  • Agentic Tool Integration

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  • agtx Task Planning

    fynnfluegge/agtx

    Analyzes the codebase for an agtx task, writes a plan with analysis, steps and risks to .agtx/plan.md, then stops and waits for approval before any change.

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    anombyte93/prd-taskmaster

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All 20 skills in this repo
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  • Delegate

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  • Durable Jobs

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  • Cleanup

    prassanna-ravishankar/repowire

    A skill your agent uses when cleaning up peers, sessions, tmux panes, processes, feature worktrees, branches, generated artifacts, or after a delegated lane or PR is complete.

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  • Create Agent

    prassanna-ravishankar/repowire

    A skill your agent uses when creating, updating, or explaining a standing Repowire agent folder, worker folder, durable-job executor context, or reusable agent-specific AGENTS.md guidance.

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  • Create Skill

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    A skill your agent uses when adding, updating, splitting, or reviewing local orchestrator skills for reusable procedures, including controlled self-improvement of the orchestrator.

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Categories

Questions about Cross Agent Plan

What does Cross Agent Plan do?

Get an independent implementation plan from a DIFFERENT AI agent over the repowire mesh before you build (e.g. Cross Agent Plan is an agent skill from prassanna-ravishankar/repowire.g.

When should I use Cross Agent Plan?

Cross Agent Plan fits situations like: you want a second perspective on how to approach a task; tasks that involve Planning.

How do I install Cross Agent Plan in Claude Code?

Run `npx skills add prassanna-ravishankar/repowire --skill cross-agent-plan -a claude-code`. Or copy the skill folder (skills/cross-agent-plan in prassanna-ravishankar/repowire) into .claude/skills/cross-agent-plan in your project. Claude Code loads it when a task matches its description.

How do I install Cross Agent Plan in Codex?

Run `npx skills add prassanna-ravishankar/repowire --skill cross-agent-plan -a codex`. Or copy the skill folder (skills/cross-agent-plan in prassanna-ravishankar/repowire) into .agents/skills/cross-agent-plan in your project. Codex loads it when a task matches its description.

Can I use Cross Agent 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 prassanna-ravishankar/repowire --skill cross-agent-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/cross-agent-plan, .gemini/skills/cross-agent-plan, .github/skills/cross-agent-plan and .opencode/skills/cross-agent-plan in your project.

What does Cross Agent Plan need to run?

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

Does Cross Agent 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 Cross Agent 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 Cross Agent Plan use?

No licence was found for Cross Agent Plan or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Cross Agent Plan use?

About 412 tokens (SKILL.md is roughly 1.6k 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 Cross Agent Plan?

Skills that share tags, products or a category with Cross Agent Plan: Codex with ChatGPT Planning Loop (XiaoDuoYa/codex-with-chatgpt, 7.2k stars), Agentic Tool Integration (samugit83/redamon, 3k stars), agtx Task Planning (fynnfluegge/agtx, 1.7k stars) and Discover (anombyte93/prd-taskmaster, 605 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cross Agent Plan?

prassanna-ravishankar (a GitHub user) maintains it in prassanna-ravishankar/repowire, which has 264 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 9, 2026.

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