Documents & Data · IN-DEPTH PROFILE

Lark Skill Maker

Lark Skill Maker is the official workflow for packaging Feishu API operations into reusable lark-cli Skills.

Best for

Developers extending lark-cli for repeated Feishu work

What you get

Research the command surface + Design a reusable workflow

Main limitation

It creates instruction packages for lark-cli; it is not a visual builder or an automatic API client generator.

First risk

Unsafe reusable writes. A mistaken endpoint or missing confirmation can scale across every future run. Validate schemas, scopes, dry-run behavior, and rollback before distribution.

EVIDENCE FRESHNESS

Three checks, kept separate

A recent source check is not a runtime test or security audit.

Upstream sourceChecked 2026-09-23

Pinned revision · a079fd7a

Open pinned commit ↗
SkillSignal profileSource-grounded

Updated 2026-08-20

Runtime & securityNot independently verified

Source review does not certify behavior or safety.

IN PLAIN ENGLISH

What it does—and when it fits

Lark Skill Maker is the official workflow for packaging Feishu API operations into reusable lark-cli Skills. It starts by discovering shortcuts and registered commands, falls back to documented raw OpenAPI calls only when needed, then records triggers, scopes, identity, data flow, rollback, and write-safety rules in a focused SKILL.md.

This is aimed at Developers extending lark-cli for repeated Feishu work. Compare the examples below with your task, then review the limitations, permissions, and risks before installing.

What you get
  • Research the command surfacePrefer shortcuts, then registered APIs, and use the OpenAPI explorer before any raw call.
  • Design a reusable workflowSpecify inputs, IDs passed between steps, parallel work, failures, and rollback behavior.
  • Publish precise instructionsCreate a small SKILL.md with concrete triggers, commands, scopes, and confirmation boundaries.
What makes it different
  • This profile is manually organized around the current upstream SKILL.md workflow.
  • The capability boundary remains explicitly tied to open.feishu.cn.
  • Core uses, limitations, and risks are separated for pre-install review.
Community signalskills.sh All-time: #32 · 727.5K installs

No verified review text is in the current dataset. Use the linked source for the latest discussion.

Read the source note ↗

INSTALL BY AGENT

Choose your Agent

Paths come from official Agent docs or the universal installer behind skills.sh. Compatibility still follows this Skill's record.

Native

This Skill's current record explicitly names this Agent. Still inspect scripts, permissions, and external dependencies first.

Project install (recommended)
npx skills add larksuite/cli --skill lark-skill-maker --agent claude-code
Personal install
npx skills add larksuite/cli --skill lark-skill-maker --agent claude-code -g

Project install stays with this repository for team sharing. Personal install adds -g and works across repositories.

This command adds the Skill instructions only. Install lark-cli and sign in to Feishu separately before use. Official Lark CLI setup ↗

View install paths
Project path.claude/skills/lark-skill-maker/
Personal path~/.claude/skills/lark-skill-maker/
Official agent docs

Claude Code discovers custom Skill folders automatically at project or personal scope.

View path evidence ↗

TYPICAL WORKFLOW

A practical workflow

01

Research the command surface

Prefer shortcuts, then registered APIs, and use the OpenAPI explorer before any raw call.

02

Design a reusable workflow

Specify inputs, IDs passed between steps, parallel work, failures, and rollback behavior.

03

Publish precise instructions

Create a small SKILL.md with concrete triggers, commands, scopes, and confirmation boundaries.

THE TRADEOFFS

Advantages and tradeoffs

Notable strengths

  1. This profile is manually organized around the current upstream SKILL.md workflow.
  2. The capability boundary remains explicitly tied to open.feishu.cn.
  3. Core uses, limitations, and risks are separated for pre-install review.

Limitations

  1. It creates instruction packages for lark-cli; it is not a visual builder or an automatic API client generator.
  2. A reusable workflow is only as reliable as its API research, tenant assumptions, and rollback design.

BEST FIT

Who it is for

→

Developers extending lark-cli for repeated Feishu work

→

Teams standardizing multi-step Feishu automations

BEFORE YOU USE IT

Risks to review before use

High

Unsafe reusable writes

A mistaken endpoint or missing confirmation can scale across every future run. Validate schemas, scopes, dry-run behavior, and rollback before distribution.

High

External data and identity boundary

Requests access Feishu tenant resources. Use the correct identity, least-privilege scopes, and keep sensitive content out of logs.

SECURITY

What the permission profile means

  • Declared access remains governed by the current upstream SKILL.md and runtime requests.
  • Treat Feishu documents, messages, people, and business records as permission-controlled data.
  • SkillSignal has not independently executed or security-audited this package; external skills.sh labels are not SkillSignal certification.

Not a security certification. External ratings are attributed references. SkillSignal has not independently executed or security-reviewed this Skill.

COMMON QUESTIONS

Lark Skill Maker FAQ

What is the Lark Skill Maker?

Lark Skill Maker is the official workflow for packaging Feishu API operations into reusable lark-cli Skills. It starts by discovering shortcuts and registered commands, falls back to documented raw OpenAPI calls only when needed, then records triggers, scopes, identity, data flow, rollback, and write-safety rules in a focused SKILL.md.

How do I install the Lark Skill Maker?

Open and review the listed source, choose the project or personal path for your Agent, then verify the first run in a controlled project. Open the listed source and read the current SKILL.md plus only the references required for this task.

Is the Lark Skill Maker safe to use?

SkillSignal checked the source on 2026-09-23, but that is not a runtime test or security certification. Review the “Unsafe reusable writes” risk first and begin with the least access required.

INSIDE THE PACKAGE

Indexed files

SKILL.mdUpstream Skill instructionsSource-linked

TAGS

feishuskill-authoringopenapi

Manually expanded from the current upstream SKILL.md and linked source at open.feishu.cn, checked 2026-08-20. This is an original summary, not an execution result or security certification.