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flowstate-dojo-community-epicdm-flowstate-cli

Package-local agent skill for @epicdm/flowstate-cli.

Tags

Publisher

Versions

1 version published — latest: 1.1.11

  • 1.1.11
    publishedInvalid Date

Skill

Use this skill when a task touches packages/flowstate-cli, imports @epicdm/flowstate-cli, or needs to teach humans/agents how this package works.

Package identity:

  • Package: @epicdm/flowstate-cli
  • Repository: epic-flowstate-community
  • Version authority: package.json (1.1.11)
  • Dojo course: flowstate-dojo-community-epicdm-flowstate-cli

How to use the package:

  • Purpose: Command-line interface for Epic FlowState project management and initialization
  • Start with package-local docs when present.
  • Verify details against source and tests before changing behavior.
  • Use the Dojo course lessons as the teaching path: setup, mental model, core workflow, integration, feature labs, maintenance.

Public surfaces discovered:

  • DevManifestData
  • writeDevManifest
  • removeDevManifest
  • getDevManifestsDir
  • DeveloperKeyFile
  • getKeysDir
  • getKeyFilePath
  • writeDeveloperKey
  • readDeveloperKey
  • listDeveloperKeys
  • removeDeveloperKey
  • FsextOptions
  • FsextResult
  • AUTHORING_MANIFEST_FILE
  • MARKETPLACE_MANIFEST_FILE
  • normalizeMarketplaceManifest
  • readFsextManifest
  • requireFsextManifest
  • buildFsext
  • SignFsextResult
  • signFsextArchive
  • HostDeviceIdentity
  • hostDeviceVaultDir
  • hostDeviceFile
  • hostActiveDeviceLink
  • StoreHostDeviceIdentityOptions
  • storeHostDeviceIdentity
  • LoadHostDeviceIdentityOptions
  • loadHostDeviceIdentity
  • hasHostDeviceIdentity

Composable feature skilllets:

  • Agent Ai Usage Command: use feature labs for workflow, source anchor, and regression risk.
  • Agent Budget Command: use feature labs for workflow, source anchor, and regression risk.
  • Agent Chat Command: use feature labs for workflow, source anchor, and regression risk.
  • Agent Docker Config Command: use feature labs for workflow, source anchor, and regression risk.
  • Agent Docker Diagnose Command: use feature labs for workflow, source anchor, and regression risk.
  • Agent Docker Diff Config Command: use feature labs for workflow, source anchor, and regression risk.
  • Agent Docker Exec Command: use feature labs for workflow, source anchor, and regression risk.
  • Agent Init Error: use feature labs for workflow, source anchor, and regression risk.
  • Agent Init Runner: use feature labs for workflow, source anchor, and regression risk.
  • Agent Key Add To Vault Command: use feature labs for workflow, source anchor, and regression risk.
  • Agent Key List Command: use feature labs for workflow, source anchor, and regression risk.
  • Agent Key Provision Command: use feature labs for workflow, source anchor, and regression risk.
  • Agent Key Rotate Command: use feature labs for workflow, source anchor, and regression risk.
  • Api Key Setup Step: use feature labs for workflow, source anchor, and regression risk.
  • Assert Root Exec Allowed: use feature labs for workflow, source anchor, and regression risk.
  • Batch Acl Command: use feature labs for workflow, source anchor, and regression risk.
  • Build Budget Report: use feature labs for workflow, source anchor, and regression risk.
  • Build Diagnose Hints: use feature labs for workflow, source anchor, and regression risk.
  • Build Docker Exec Args: use feature labs for workflow, source anchor, and regression risk.
  • Build Open Claw Config Report: use feature labs for workflow, source anchor, and regression risk.
  • Capability Registration Step: use feature labs for workflow, source anchor, and regression risk.
  • CLI command , start + m[0].length): use feature labs for workflow, source anchor, and regression risk.
  • CLI command .: use feature labs for workflow, source anchor, and regression risk.
  • CLI command acl: use feature labs for workflow, source anchor, and regression risk.
  • CLI command add-to-vault: use feature labs for workflow, source anchor, and regression risk.
  • CLI command agent: use feature labs for workflow, source anchor, and regression risk.
  • CLI command agent-key: use feature labs for workflow, source anchor, and regression risk.
  • CLI command ai-usage: use feature labs for workflow, source anchor, and regression risk.
  • CLI command archive <id>: use feature labs for workflow, source anchor, and regression risk.
  • CLI command batch: use feature labs for workflow, source anchor, and regression risk.
  • CLI command budget: use feature labs for workflow, source anchor, and regression risk.
  • CLI command chat <name> [message...]: use feature labs for workflow, source anchor, and regression risk.
  • CLI command close <id>: use feature labs for workflow, source anchor, and regression risk.
  • CLI command clp: use feature labs for workflow, source anchor, and regression risk.
  • CLI command config <target>: use feature labs for workflow, source anchor, and regression risk.
  • CLI command conversation: use feature labs for workflow, source anchor, and regression risk.
  • CLI command create: use feature labs for workflow, source anchor, and regression risk.
  • CLI command deactivate <slug>: use feature labs for workflow, source anchor, and regression risk.
  • CLI command diagnose <target>: use feature labs for workflow, source anchor, and regression risk.
  • CLI command diff-config <left> <right>: use feature labs for workflow, source anchor, and regression risk.
  • 110 additional feature skilllets are listed in dojo-manifest.json and agent-skillset.md.

Agent operating rules:

  • Treat package.json as the Dojo version authority.
  • Do not turn feature inventory into user-facing lessons without workflow context.
  • Update this Dojo package when package behavior, docs, examples, or feature inventory changes.
  • Verify downstream packages when package use and connection metadata shows inbound dependencies or references.
  • Never mark publish status passed without successful cloud publish and catalog lookup.

Usage

Use this Dojo skill with package human docs, package-local feature inventory, agent-skillset.md, and the generated course.json in this folder. Keep this manifest version aligned with package.json.

Install

Run this in your project to install via CLI:

fscloud dojo skill install flowstate-dojo-community-epicdm-flowstate-cli --target <target> --out ./skills

Replace <target> with your agent target identifier. See the CLI docs for details.