How do I install the Agentplane skill?

Run npx skillmds@latest add basilisk-labs/agentplane in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Agentplane safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Agentplane?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Agentplane free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Agentplane?

basilisk-labs (@basilisk-labs) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Agentplane by basilisk-labs — Agent Skill

Name: Agentplane
Rating: 4.2 (5 reviews)
Author: basilisk-labs

File contents

AgentPlane

Use AgentPlane through its CLI instead of editing .agentplane/ state directly.

When to use

The repository already contains AGENTS.md or .agentplane/.
The user wants to initialize AgentPlane in a repository.
The user wants explicit planning, task IDs, verification evidence, or branch_pr worktrees.

Startup

If the repository is not initialized, run ap init or agentplane init.
Select ready work with ap task active.
Request one bounded external-agent action with ap task advance <task-id> --agent-json.
When action.kind=agent_episode, perform only the supplied semantic objective inside the supplied authority and write the typed result to exchange.result_path.
Resume with the exact exchange.resume_argv and request a fresh packet after every state change. exchange.return_invocation is compatibility-only.
If the repository has a configured managed runner, use ap task run <task-id> instead of the external exchange loop.

Rules

Treat AGENTS.md, ap quickstart, and ap role <ROLE> as the policy surface.
Use ap task advance or ap task run as the normal protocol; do not edit .agentplane/ state directly.
Do not invoke work start, start-ready, verify, finish, integrate, cleanup, Git branch/worktree, commit, or PR lifecycle commands during a normal semantic episode.
Treat approval, human, hosted/external, stale-state, and effect-in-doubt stops as hard boundaries; return control instead of reconstructing the process.
Use task brief, task status --route, and task next-action --explain only for an explicit operator/recovery request.
Keep repository artifacts in English unless the user explicitly requests another language for a specific artifact.
Return semantic check evidence through the typed result; AgentPlane persists verification and terminal evidence separately.

Limits

This plugin bundles workflow guidance only. It does not install the ap/agentplane binary for you.
If both ap and agentplane are missing from PATH, install AgentPlane first, then use the workflow commands above.

---name: agentplanedescription: Use when a repository uses AgentPlane or the user wants a governed git-native workflow for planning, task execution, verification, and closure.---# AgentPlaneUse AgentPlane through its CLI instead of editing `.agentplane/` state directly.## When to use- The repository already contains `AGENTS.md` or `.agentplane/`.- The user wants to initialize AgentPlane in a repository.- The user wants explicit planning, task IDs, verification evidence, or `branch_pr` worktrees.## Startup1. If the repository is not initialized, run `ap init` or `agentplane init`.2. Select ready work with `ap task active`.3. Request one bounded external-agent action with `ap task advance <task-id> --agent-json`.4. When `action.kind=agent_episode`, perform only the supplied semantic objective inside the supplied authority and write the typed result to `exchange.result_path`.5. Resume with the exact `exchange.resume_argv` and request a fresh packet after every state change. `exchange.return_invocation` is compatibility-only.6. If the repository has a configured managed runner, use `ap task run <task-id>` instead of the external exchange loop.## Rules- Treat `AGENTS.md`, `ap quickstart`, and `ap role <ROLE>` as the policy surface.- Use `ap task advance` or `ap task run` as the normal protocol; do not edit `.agentplane/` state directly.- Do not invoke work start, start-ready, verify, finish, integrate, cleanup, Git branch/worktree, commit, or PR lifecycle commands during a normal semantic episode.- Treat approval, human, hosted/external, stale-state, and effect-in-doubt stops as hard boundaries; return control instead of reconstructing the process.- Use `task brief`, `task status --route`, and `task next-action --explain` only for an explicit operator/recovery request.- Keep repository artifacts in English unless the user explicitly requests another language for a specific artifact.- Return semantic check evidence through the typed result; AgentPlane persists verification and terminal evidence separately.## Limits- This plugin bundles workflow guidance only. It does not install the `ap`/`agentplane` binary for you.- If both `ap` and `agentplane` are missing from `PATH`, install AgentPlane first, then use the workflow commands above.

Frequently asked questions

Agentplane