release-libs — Agente de Skill AI release-libs, community, Agente de Skill AI, ide skills, API Tapo, TP-Link, Dispositivos inteligentes, Controle, Integração, Personalização

v1.0.0

Sobre este Skill

Cenario recomendado: Ideal for AI agents that need release tapo & tapo-py. O Agente de Skill AI é um cliente não oficial da API Tapo, permitindo o controle dos dispositivos inteligentes da TP-Link.

Recursos

Controle dos dispositivos inteligentes da TP-Link
Integração com a API Tapo
Suporte a vários tipos de dispositivos
Possibilidade de personalização

# Core Topics

mihai-dinculescu mihai-dinculescu
[728]
[74]
Updated: 3/13/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
50
Canonical Locale
en
Detected Body Locale
en

Cenario recomendado: Ideal for AI agents that need release tapo & tapo-py. O Agente de Skill AI é um cliente não oficial da API Tapo, permitindo o controle dos dispositivos inteligentes da TP-Link.

Por que usar essa habilidade

Recomendacao: release-libs helps agents release tapo & tapo-py. The Tapo API Client is a Python library that allows developers to interact with Tapo smart home devices. This AI agent skill supports Claude Code, Cursor

Melhor para

Cenario recomendado: Ideal for AI agents that need release tapo & tapo-py.

Casos de Uso Práticos for release-libs

Caso de uso: Applying Release tapo & tapo-py
Caso de uso: Applying Bump the versions. Update the version field in both:
Caso de uso: Applying tapo-py/pyproject.toml

! Segurança e Limitações

  • Limitacao: Requires repository-specific context from the skill documentation
  • Limitacao: Works best when the underlying tools and dependencies are already configured

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is release-libs?

Cenario recomendado: Ideal for AI agents that need release tapo & tapo-py. O Agente de Skill AI é um cliente não oficial da API Tapo, permitindo o controle dos dispositivos inteligentes da TP-Link.

How do I install release-libs?

Run the command: npx killer-skills add mihai-dinculescu/tapo/release-libs. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for release-libs?

Key use cases include: Caso de uso: Applying Release tapo & tapo-py, Caso de uso: Applying Bump the versions. Update the version field in both:, Caso de uso: Applying tapo-py/pyproject.toml.

Which IDEs are compatible with release-libs?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for release-libs?

Limitacao: Requires repository-specific context from the skill documentation. Limitacao: Works best when the underlying tools and dependencies are already configured.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add mihai-dinculescu/tapo/release-libs. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use release-libs immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

release-libs

AI Agent Skill para lasers e objetos conectados da TP-Link

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Release tapo & tapo-py

Release a new version of the tapo (Rust) and tapo-py (Python) crates. Both libraries are released simultaneously and share the same version number.

Steps

  1. Determine the new version. Read the current version from tapo/Cargo.toml. Ask the user what the new version should be if not provided.

  2. Bump the versions. Update the version field in both:

    • tapo/Cargo.toml
    • tapo-py/pyproject.toml
  3. Update changelog. In CHANGELOG.md:

    • Replace the heading ## [Python Unreleased][Unreleased] with ## [Python vX.X.X][vX.X.X] - YYYY-MM-DD (use the current date).
    • Replace the heading ## [Rust Unreleased][Unreleased] with ## [Rust vX.X.X][vX.X.X] - YYYY-MM-DD (use the current date).
    • Insert new empty ## [Rust Unreleased][Unreleased] and ## [Python Unreleased][Unreleased] sections (in that order) immediately above the newly versioned Rust section.
    • If a ## [MCP Unreleased][Unreleased] section exists elsewhere in the file, move it (with its body intact) so it sits immediately after the new ## [Python Unreleased][Unreleased] section, keeping all three Unreleased sections grouped at the top in the order Rust → Python → MCP.
    • Add a link reference [vX.X.X]: https://github.com/mihai-dinculescu/tapo/tree/vX.X.X to the link definitions at the bottom of the file (right after the [Unreleased] link).
  4. Commit. Run /commit with message chore(tapo): release vX.X.X.

  5. Tag. Create an annotated git tag:

    bash
    1git tag -a vX.X.X -m "vX.X.X"
  6. Push. Ask the user for confirmation, then:

    bash
    1git push && git push origin vX.X.X
  7. Create GitHub release. Ask the user for confirmation. Use the content under the ## [Rust vX.X.X][vX.X.X] and ## [Python vX.X.X][vX.X.X] headings from CHANGELOG.md as the release body, followed by a full changelog comparison link. The previous version (vP.P.P) is the tag before this release:

    bash
    1gh release create vX.X.X --title "Tapo vX.X.X" --notes "$(cat <<'EOF' 2## Rust 3 4<rust changelog content here> 5 6## Python 7 8<python changelog content here> 9 10**Full Changelog**: https://github.com/mihai-dinculescu/tapo/compare/vP.P.P...vX.X.X 11EOF 12)"

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