Agent skill

Skill Installer

by diegosouzapw in diegosouzapw/awesome-omni-skills

Skill Installer v3.0 workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.

MITAuto-check: notesAgent Workflows

Install Skill Installer

skills CLI
$ npx skills add diegosouzapw/awesome-omni-skills --skill skill-installer -a claude-code

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

GitHub CLI
$ gh skill install diegosouzapw/awesome-omni-skills skill-installer --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/diegosouzapw/awesome-omni-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-installer .claude/skills/skill-installer && 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
skill-installer
GitHub stars
159
Token cost
~4.9k tokens
SKILL.md length
1,884 words
Files
9 (incl. scripts, references)
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

Skill Installer v3.0 workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.

  • Works in 7 steps: Comando - Descricao → source - Instalar skill de caminho → source --force - Sobrescrever se existir → …
  • The user needs Instala
  • SKILL.md covers Overview, When to Use This Skill, Operating Table and Workflow, plus 5 more sections
  • Runs Python scripts from its folder; calls python; reaches github.com

What it does

Skill Installer is an agent skill from diegosouzapw/awesome-omni-skills. Skill Installer v3.0 workflow skill. Use this skill when the user needs Instala, valida, registra e verifica novas skills no ecossistema. 10 checks de seguranca, copia, registro no orchestrator e verificacao pos-instalacao and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `ORIGIN.md`, `metadata.json` and `references/known-locations.md`).

It sits in Agent Workflows, covering Skill management. The repository describes itself as: Public repository of AI coding skills, curated improved best-practice skills, and runtime surfaces for CLI, API, MCP, and A2A. The licence is MIT.

When your agent uses it

  • The user needs Instala
  • Registra e verifica novas skills no ecossistema

Example prompts

  • “/skill-installer”

Requirements

  • Python 3

Workflow steps

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

  1. Comando - Descricao
  2. source - Instalar skill de caminho
  3. source --force - Sobrescrever se existir
  4. source --name - Nome customizado
  5. source --dry-run - Simular sem alterar
  6. detect - Auto-detectar skills pendentes
  7. detect --auto - Detectar e instalar automaticamente

What it can do on your machine

Read from SKILL.md and the folder at commit c3af004. 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

    Ships 5 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    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

Skill Installer loads about 4.9k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 1,884 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~4.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.2k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:394
    idos**: bloqueia instalacao se encontrar .env, *.key, *.pem, credentials.*

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); the scripts in this folder are not scanned.

SKILL.md

The full file from diegosouzapw/awesome-omni-skills at commit c3af004, republished under its MIT licence (© diegosouzapw). 1,884 words, ~4,877 tokens.

Download SKILL.mdSave it as .claude/skills/skill-installer/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
skill-installer
description
Skill Installer v3.0 workflow skill. Use this skill when the user needs Instala, valida, registra e verifica novas skills no ecossistema. 10 checks de seguranca, copia, registro no orchestrator e verificacao pos-instalacao and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
version
0.0.1
category
cli-automation
tags
skill-management, deployment, validation, installation, skill-installer, instala, valida, registra
complexity
advanced
risk
caution
tools
claude-code, antigravity, cursor, gemini-cli, codex-cli, opencode
source
community
author
renat
date_added
2026-04-15
date_updated
2026-04-25

Skill Installer v3.0

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/skill-installer from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Skill Installer v3.0

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: How It Works, Principio: Redundancia Maxima, Localizacao, Cenario 1: Apos Skill-Creator Finalizar, Cenario 2: Usuario Pede Para Instalar Uma Skill Especifica, Cenario 3: Simular Instalacao Sem Fazer Nada (Dry-Run).

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

  • When the user mentions "instalar skill" or related topics
  • When the user mentions "install skill" or related topics
  • When the user mentions "registrar skill" or related topics
  • When the user mentions "nova skill" or related topics
  • When the user mentions "new skill" or related topics
  • When the user mentions "adicionar skill ao ecossistema" or related topics

Operating Table

SituationStart hereWhy it matters
First-time usemetadata.jsonConfirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance reviewORIGIN.mdGives reviewers a plain-language audit trail for the imported source
Workflow executionreferences/known-locations.mdStarts with the smallest copied file that materially changes execution
Supporting contextscripts/detect_skills.pyAdds the next most relevant copied source file without loading the entire package
Handoff decision## Related SkillsHelps the operator switch to a stronger native skill when the task drifts

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

  1. Comando - Descricao
  2. --source <path> - Instalar skill de caminho
  3. --source <path> --force - Sobrescrever se existir
  4. --source <path> --name <nome> - Nome customizado
  5. --source <path> --dry-run - Simular sem alterar
  6. --detect - Auto-detectar skills pendentes
  7. --detect --auto - Detectar e instalar automaticamente
Imported Workflow Notes
Imported: Workflow Principal

Quando esta skill for ativada, siga estes passos na ordem:

Imported: Install_Skill.Py
ComandoDescricao
--source <path>Instalar skill de caminho
--source <path> --forceSobrescrever se existir
--source <path> --name <nome>Nome customizado
--source <path> --dry-runSimular sem alterar
--detectAuto-detectar skills pendentes
--detect --autoDetectar e instalar automaticamente
--uninstall <nome>Desinstalar (com backup)
--rollback <nome>Restaurar do ultimo backup
--reinstall-allRe-registrar + re-empacotar todas
--healthHealth check de todas as skills
--health --repairHealth check + auto-correcao
--statusDashboard rico com versoes, saude, backups
--log [N]Ultimas N operacoes (padrao: 20)
--jsonSaida JSON em vez de texto formatado

Imported: Overview

Instala, valida, registra e verifica novas skills no ecossistema. 10 checks de seguranca, copia, registro no orchestrator e verificacao pos-instalacao.

Imported: How It Works

Agente instalador enterprise-grade que garante que toda skill criada (via skill-creator ou manualmente) seja corretamente instalada, registrada e verificada no ecossistema. Inclui auto-repair, rollback, dry-run, dashboard, e diagnostico avancado.

Examples

Example 1: Ask for the upstream workflow directly
text
Use @skill-installer to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review
text
Review @skill-installer against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution
text
Use @skill-installer for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet
text
Review @skill-installer using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

  • Provide clear, specific context about your project and requirements
  • Review all suggestions before applying them to production code
  • Combine with other complementary skills for comprehensive analysis
  • Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
  • Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
  • Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
  • Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
Imported Operating Notes
Imported: Best Practices
  • Provide clear, specific context about your project and requirements
  • Review all suggestions before applying them to production code
  • Combine with other complementary skills for comprehensive analysis

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/skill-installer, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Imported Troubleshooting Notes
Imported: Cenario 6: Health Check + Auto-Repair
bash
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --health
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --health --repair

--health verifica TODAS as skills: frontmatter, registro, registry, duplicatas. --health --repair encontra problemas E os corrige automaticamente:

  • Skills nao registradas -> registra
  • Skills faltando no registry -> atualiza
  • Duplicatas -> remove
  • @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
Show full SKILL.md (787 more words)Show less

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Resource familyWhat it gives the reviewerExample path
referencescopied reference notes, guides, or background material from upstreamreferences/known-locations.md
examplesworked examples or reusable prompts copied from upstreamexamples/n/a
scriptsupstream helper scripts that change execution or validationscripts/detect_skills.py
agentsrouting or delegation notes that are genuinely part of the imported packageagents/n/a
assetssupporting assets or schemas copied from the source packageassets/n/a
Imported Reference Notes
Imported: Principio: Redundancia Maxima

Seis camadas de validacao garantem que nenhuma skill fique mal-instalada:

CamadaScriptO que valida
1detect_skills.pySKILL.md existe + tem frontmatter
2validate_skill.py10 checks profundos
3install_skill.py (pre)Conflitos, permissoes, espaco, versao
4install_skill.py (pos)Arquivos copiados corretamente
5scan_registry.pySkill aparece no registry (com deduplicacao)
6package_skill.pyZIP valido sem backslashes, nao-vazio, integrity check

Imported: Localizacao
C:\Users\renat\skills\skill-installer\
├── SKILL.md              <- este arquivo
├── scripts/
│   ├── install_skill.py  <- instalador principal (11 passos) + todos os comandos
│   ├── detect_skills.py  <- scanner de skills nao-instaladas
│   ├── validate_skill.py <- validacao profunda (10 checks)
│   ├── package_skill.py  <- empacotador ZIP + verificador de integridade
│   └── requirements.txt
├── references/
│   └── known-locations.md
└── data/
    ├── install_log.json  <- log de operacoes (auto-gerado, com rotacao)
    ├── backups/          <- backups antes de sobrescrever
    └── staging/          <- area temporaria para copias seguras

Imported: Cenario 1: Apos Skill-Creator Finalizar

O skill-creator acabou de criar uma skill em algum diretorio. Execute:

bash
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --source "<caminho-da-skill-criada>" --force

Substitua <caminho-da-skill-criada> pelo diretorio onde o skill-creator salvou a skill.

Imported: Cenario 2: Usuario Pede Para Instalar Uma Skill Especifica
bash
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --source "<caminho>" [--name "nome-override"] [--force]
Imported: Cenario 3: Simular Instalacao Sem Fazer Nada (Dry-Run)
bash
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --source "<caminho>" --dry-run

Mostra exatamente o que seria feito em cada um dos 11 passos, sem alterar nenhum arquivo.

Imported: Cenario 4: Detectar E Instalar Skills Pendentes
bash
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --detect
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --detect --auto

Escaneia locais conhecidos (Desktop, Downloads, Temp, workspaces) e apresenta candidatos com timestamps e tamanho. Com --auto instala todos automaticamente.

Imported: Cenario 5: Desinstalar Uma Skill
bash
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --uninstall "nome-da-skill"

Remove de skills/, .claude/skills/, atualiza o registry e remove ZIP do Desktop. Backup automatico e feito antes da remocao.

Imported: Cenario 7: Rollback (Restaurar De Backup)
bash
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --rollback "nome-da-skill"

Encontra o backup mais recente da skill e restaura para o estado anterior. Re-registra e atualiza o registry automaticamente.

Imported: Cenario 8: Reinstalar Todas As Skills
bash
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --reinstall-all

Re-registra TODAS as skills em .claude/skills/, re-empacota todos os ZIPs, e atualiza o registry. Util apos mudancas em massa ou migracao.

Imported: Cenario 9: Dashboard De Status
bash
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --status

Exibe dashboard rico com: nome, versao, saude, registro, backups de cada skill, estatisticas de operacoes (installs, uninstalls, rollbacks).

Imported: Cenario 10: Ver Historico De Operacoes
bash
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --log
python C:\Users\renat\skills\skill-installer\scripts\install_skill.py --log 50

Mostra as ultimas N operacoes com timestamp, tipo, skill e resultado.


Imported: Validar Uma Skill
bash
python C:\Users\renat\skills\skill-installer\scripts\validate_skill.py "C:\caminho\para\skill"
python C:\Users\renat\skills\skill-installer\scripts\validate_skill.py "C:\caminho\para\skill" --strict

Retorna JSON com valid (bool), checks, warnings, errors.

Imported: Detectar Skills Nao-Instaladas
bash
python C:\Users\renat\skills\skill-installer\scripts\detect_skills.py
python C:\Users\renat\skills\skill-installer\scripts\detect_skills.py --path "C:\diretorio\especifico"
python C:\Users\renat\skills\skill-installer\scripts\detect_skills.py --all

Retorna JSON com candidatos incluindo: name, source_path, already_installed, valid_frontmatter, last_modified, size_kb, file_count.

Imported: Empacotar Zip Para Claude.Ai
bash
python C:\Users\renat\skills\skill-installer\scripts\package_skill.py --source "C:\caminho"
python C:\Users\renat\skills\skill-installer\scripts\package_skill.py --all
python C:\Users\renat\skills\skill-installer\scripts\package_skill.py --all --output "C:\Users\renat\Desktop"
Imported: Verificar Integridade De Zips Existentes
bash
python C:\Users\renat\skills\skill-installer\scripts\package_skill.py --verify
python C:\Users\renat\skills\skill-installer\scripts\package_skill.py --verify --output "C:\Users\renat\Desktop"

Imported: O Que O Instalador Faz (11 Passos)
  1. Resolver fonte - identifica o diretorio da skill
  2. Validar - roda 10 checks no SKILL.md e estrutura
  3. Determinar nome - extrai do frontmatter ou usa --name, compara versoes
  4. Verificar conflitos - checa se ja existe no destino
  5. Backup - se sobrescrevendo, faz backup timestamped (exclui backups/ e staging/)
  6. Copiar via staging - copia para area temp, valida hash, depois move
  7. Registrar no Claude Code CLI - copia SKILL.md para .claude/skills/<nome>/
  8. Atualizar registry - roda scan_registry.py --force (com deduplicacao por nome)
  9. Verificar instalacao - confirma arquivos, registry, registro (5 checks)
  10. Empacotar ZIP - cria ZIP para upload no Claude.ai web/desktop (validado)
  11. Logar operacao - append em install_log.json (com rotacao automatica)

IMPORTANTE: Skills no Claude Code (CLI) e Claude.ai (web/desktop) sao SEPARADAS. O instalador cobre ambas superficies automaticamente.


Imported: Seguranca
  • Backups automaticos: antes de qualquer sobrescrita, backup em data/backups/<nome>_<timestamp>/
  • Staging area: copia para temp primeiro, valida hash, depois move (minimiza corrupcao)
  • Idempotencia: rodar 2x com mesma source detecta hashes identicos, nao duplica
  • Arquivos proibidos: bloqueia instalacao se encontrar .env, *.key, .pem, credentials.
  • Log com rotacao: toda operacao logada; mantem ultimas 500 entradas
  • Limite de backups: mantem ultimos 5 por skill, limpa automaticamente
  • Anti-recursao: backup e staging excluem seus proprios subdiretorios
  • Deduplicacao no registry: scan_registry.py deduplica por nome (case-insensitive)
  • ZIP validado: verifica ausencia de backslashes, conteudo nao-vazio, integridade
  • Dry-run: simula instalacao completa sem tocar nenhum arquivo
  • Rollback: restaura de backup com re-registro automatico
  • Comparacao de versao: detecta upgrade/downgrade/same antes de sobrescrever
  • Hash normalizado: md5_dir usa forward slashes e exclui dirs de sistema

Imported: Integracao Com Orchestrator

Esta skill e auto-detectada pelo scan_registry.py e matchada pelo match_skills.py quando o usuario menciona keywords de instalacao. Nenhuma configuracao manual necessaria.

Alem disso, o CLAUDE.md global contem instrucao para rodar o instalador automaticamente apos o skill-creator finalizar uma skill.

Imported: Common Pitfalls
  • Using this skill for tasks outside its domain expertise
  • Applying recommendations without understanding your specific context
  • Not providing enough project context for accurate analysis
Imported: Limitations
  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© diegosouzapw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (scripts, references) in skills/skill-installer of diegosouzapw/awesome-omni-skills.

  • SKILL.md
  • ORIGIN.md
  • metadata.json
  • references/known-locations.md
  • scripts/detect_skills.py
  • scripts/install_skill.py
  • scripts/package_skill.py
  • scripts/requirements.txt
  • scripts/validate_skill.py

Open the folder on GitHubat commit c3af004

Compare with similar skills

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Skill Creatorzhayujie/CowAgent47k—~4.7kAutomated safety check: NotesMIT
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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    Helm Chart Scaffolding workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.

    159 GitHub stars~2.4k tokensUpdated 3 mo ago
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  • Prompt Engineering

    diegosouzapw/awesome-omni-skills

    Prompt Engineering Patterns workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.

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    Auto-check passed
  • Prompt Engineering Patterns

    diegosouzapw/awesome-omni-skills

    Prompt Engineering Patterns workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.

    159 GitHub stars~4k tokensUpdated 3 mo ago
    Auto-check passed
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    diegosouzapw/awesome-omni-skills

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    159 GitHub stars~3.1k tokensUpdated 3 mo ago
    Auto-check passed
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    diegosouzapw/awesome-omni-skills

    Protocol Reverse Engineering workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.

    159 GitHub stars~3.8k tokensUpdated 3 mo ago
    Auto-check passed

Categories

Questions about Skill Installer

What does Skill Installer do?

Skill Installer v3.0 workflow skill. An agent skill from diegosouzapw/awesome-omni-skills. Skill Installer is an agent skill from diegosouzapw/awesome-omni-skills.0 workflow skill.

When should I use Skill Installer?

Skill Installer fits situations like: the user needs Instala; registra e verifica novas skills no ecossistema.

How do I install Skill Installer in Claude Code?

Run `npx skills add diegosouzapw/awesome-omni-skills --skill skill-installer -a claude-code`. Or copy the skill folder (skills/skill-installer in diegosouzapw/awesome-omni-skills) into .claude/skills/skill-installer in your project. Claude Code loads it when a task matches its description.

How do I install Skill Installer in Codex?

Run `npx skills add diegosouzapw/awesome-omni-skills --skill skill-installer -a codex`. Or copy the skill folder (skills/skill-installer in diegosouzapw/awesome-omni-skills) into .agents/skills/skill-installer in your project. Codex loads it when a task matches its description.

Can I use Skill Installer 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 diegosouzapw/awesome-omni-skills --skill skill-installer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-installer, .gemini/skills/skill-installer, .github/skills/skill-installer and .opencode/skills/skill-installer in your project.

What does Skill Installer need to run?

Going by SKILL.md and its folder, Skill Installer needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Skill Installer access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Skill Installer safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Skill Installer use?

Skill Installer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Installer use?

About 4.9k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 335 tokens, read only when the agent opens those files.

What are the alternatives to Skill Installer?

Skills that share tags, products or a category with Skill Installer: Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars), Using Agent Skills (addyosmani/agent-skills, 103k stars), Ponytail Help Card (DietrichGebert/ponytail, 158k stars) and Skill Creator (zhayujie/CowAgent, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Installer?

diegosouzapw (a GitHub user) maintains it in diegosouzapw/awesome-omni-skills, which has 159 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on July 8, 2026.

Source: diegosouzapw/awesome-omni-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.