Indexado en Registry

bg-remover

Background removal utility — image in, transparent PNG out. Wraps Replicate-hosted models (851-labs/background-remover default; alternatives via --replicate-model). Use when: 'remove the background', 'cut out the subject', 'transparent PNG', 'убери фон', 'вырежи фон с фотки'.

Revisar el código fuente Ver en GitHub

Precio sin confirmar★ 20 Estrellas de GitHubRegistro actualizado · 30 sept 2026agent-skill

Resumen

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

Remove the background from a photo. Single input image → output PNG with transparent (alpha channel) background. Subject preserved as-is; everything else becomes transparent.

This skill does NOT:

Replace the background with a new image — for that, use the transparent PNG output + paste into a new background in your image editor, OR use image-prompt --execute --model flux-kontext --image-url <photo> --prompt "subject in new setting" for full reimagining
Remove specific objects from a complex scene — only removes BACKGROUND (everything not the main subject)
Process video — single image only (per call)
Restore / upscale / sharpen — see future upscaler skill

ROLE

Read the input image → call a Replicate-hosted bg-removal model → save the transparent PNG.

PIPELINE

Resolve input:
- --image <path-or-url> (required)
- Local file or remote URL
Pick provider:
- Default: 851-labs/background-remover (popular, accurate on photos)
- Alternatives via --replicate-model <id>:
  - 851-labs/background-remover — default; best general
  - lucataco/remove-bg — alternative
  - cjwbw/rembg — Python rembg library hosted
  - pollinations/modnet — MODNet (good for portraits)
- Other Replicate bg-removers: pass via --replicate-model <slug>
Execute via the Replicate router (REPLICATE_API_TOKEN required).
Save:
- Default: ./generated/bg-removed/<input-stem>-nobg.png (transparent)
- Custom: --output <path>

MODES

Required

bg-remover --image <path-or-url>

Options

--output <path> — explicit output path
--replicate-model <id> — override default bg-remover model
--execute — defaults to true (this skill always executes; no prompt-only mode for a utility)
--yes — skip cost confirmation
--check — verify REPLICATE_API_TOKEN + connectivity

REFERENCES (load on demand)

File	When to load
references/providers.md	Replicate bg-removal model comparison + when to pick which
references/output-format.md	Transparent PNG handling, alpha channel, downstream usage
references/troubleshoot.md	When subject loses edges, hair gets cropped, etc.

EXAMPLES

See examples/before-after.md — 2 calibration runs: portrait photo → transparent for avatar use; product shot → transparent for e-commerce listing.

CONSTRAINTS

Single image per call. For batch: run in a shell loop.
Replicate API key required. Set via /skills-keys add REPLICATE_API_TOKEN r8_....
Cost: ~$0.001-0.005 per image depending on model. Very cheap.
Default model handles most photos well. Switch to pollinations/modnet for portraits if hair edges are critical.
Subject must be CLEARLY distinguishable from background. Models struggle with:
- Subjects that match background color
- Multiple subjects (picks one or merges)
- Transparent objects (glass / water)
- Hair against busy backgrounds (some loss of fine detail expected)
Output is always PNG with alpha channel. RGB → RGBA conversion automatic.
Source resolution preserved. Output dimensions match input.
No re-encoding to JPEG. Transparent backgrounds require PNG (or WebP) — JPEG doesn't support transparency.
Never print API keys.
Output dir is ./generated/bg-removed/ by default.

INVOCATION HINTS

When the user says any of:

"remove the background", "cut out the subject"
"transparent PNG", "no background version"
"убери фон", "вырежи фон с фотки", "сделай прозрачный фон"
"make the background transparent"

Defaults: --image <path> (required); auto-saves to ./generated/bg-removed/<stem>-nobg.png.

If the user wants to REPLACE the background (not just remove), suggest:

Use this skill to get a transparent PNG.
Then use image-prompt --execute --model flux-kontext --image-url <photo> for AI-driven replacement.
OR open the transparent PNG in an image editor and composite with a new background manually.

This skill is distinct from:

image-prompt / avatar-maker — they generate NEW images. This is a utility on EXISTING images.
subtitle-burner — that's video utility. This is image utility.
upscaler (planned) — that's resolution. This is background removal.

Ver fuente ↗

Metadatos del archivo

name: bg-remover
description: "Background removal utility — image in, transparent PNG out. Wraps Replicate-hosted models (851-labs/background-remover default; alternatives via --replicate-model). Use when: 'remove the background', 'cut out the subject', 'transparent PNG', 'убери фон', 'вырежи фон с фотки'."

license: MIT
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Grep
  - Glob

Ver texto original

---
name: bg-remover
description: "Background removal utility — image in, transparent PNG out. Wraps Replicate-hosted models (851-labs/background-remover default; alternatives via --replicate-model). Use when: 'remove the background', 'cut out the subject', 'transparent PNG', 'убери фон', 'вырежи фон с фотки'."

license: MIT
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Grep
  - Glob
---

<objective>
Remove the background from a photo. Single input image → output PNG with transparent (alpha channel) background. Subject preserved as-is; everything else becomes transparent.

This skill does NOT:
- Replace the background with a new image — for that, use the transparent PNG output + paste into a new background in your image editor, OR use `image-prompt --execute --model flux-kontext --image-url <photo> --prompt "subject in new setting"` for full reimagining
- Remove specific objects from a complex scene — only removes BACKGROUND (everything not the main subject)
- Process video — single image only (per call)
- Restore / upscale / sharpen — see future `upscaler` skill
</objective>

## ROLE

Read the input image → call a Replicate-hosted bg-removal model → save the transparent PNG.

## PIPELINE

1. **Resolve input**:
   - `--image <path-or-url>` (required)
   - Local file or remote URL

2. **Pick provider**:
   - Default: `851-labs/background-remover` (popular, accurate on photos)
   - Alternatives via `--replicate-model <id>`:
     - `851-labs/background-remover` — default; best general
     - `lucataco/remove-bg` — alternative
     - `cjwbw/rembg` — Python `rembg` library hosted
     - `pollinations/modnet` — MODNet (good for portraits)
   - Other Replicate bg-removers: pass via `--replicate-model <slug>`

3. **Execute** via the Replicate router (REPLICATE_API_TOKEN required).

4. **Save**:
   - Default: `./generated/bg-removed/<input-stem>-nobg.png` (transparent)
   - Custom: `--output <path>`

## MODES

### Required

- `bg-remover --image <path-or-url>`

### Options

- `--output <path>` — explicit output path
- `--replicate-model <id>` — override default bg-remover model
- `--execute` — defaults to true (this skill always executes; no prompt-only mode for a utility)
- `--yes` — skip cost confirmation
- `--check` — verify REPLICATE_API_TOKEN + connectivity

## REFERENCES (load on demand)

| File | When to load |
|---|---|
| [references/providers.md](references/providers.md) | Replicate bg-removal model comparison + when to pick which |
| [references/output-format.md](references/output-format.md) | Transparent PNG handling, alpha channel, downstream usage |
| [references/troubleshoot.md](references/troubleshoot.md) | When subject loses edges, hair gets cropped, etc. |

## EXAMPLES

See [examples/before-after.md](examples/before-after.md) — 2 calibration runs: portrait photo → transparent for avatar use; product shot → transparent for e-commerce listing.

## CONSTRAINTS

- **Single image per call.** For batch: run in a shell loop.

- **Replicate API key required.** Set via `/skills-keys add REPLICATE_API_TOKEN r8_...`.

- **Cost**: ~$0.001-0.005 per image depending on model. Very cheap.

- **Default model handles most photos well.** Switch to `pollinations/modnet` for portraits if hair edges are critical.

- **Subject must be CLEARLY distinguishable from background.** Models struggle with:
  - Subjects that match background color
  - Multiple subjects (picks one or merges)
  - Transparent objects (glass / water)
  - Hair against busy backgrounds (some loss of fine detail expected)

- **Output is always PNG with alpha channel.** RGB → RGBA conversion automatic.

- **Source resolution preserved.** Output dimensions match input.

- **No re-encoding to JPEG.** Transparent backgrounds require PNG (or WebP) — JPEG doesn't support transparency.

- **Never print API keys.**

- **Output dir is `./generated/bg-removed/`** by default.

## INVOCATION HINTS

When the user says any of:

- "remove the background", "cut out the subject"
- "transparent PNG", "no background version"
- "убери фон", "вырежи фон с фотки", "сделай прозрачный фон"
- "make the background transparent"

Defaults: `--image <path>` (required); auto-saves to `./generated/bg-removed/<stem>-nobg.png`.

If the user wants to REPLACE the background (not just remove), suggest:
1. Use this skill to get a transparent PNG.
2. Then use `image-prompt --execute --model flux-kontext --image-url <photo>` for AI-driven replacement.
3. OR open the transparent PNG in an image editor and composite with a new background manually.

This skill is distinct from:
- `image-prompt` / `avatar-maker` — they generate NEW images. This is a utility on EXISTING images.
- `subtitle-burner` — that's video utility. This is image utility.
- `upscaler` (planned) — that's resolution. This is background removal.

Revisar el código fuente

Precio y costes de ejecución

Obtener el skill: Precio sin confirmar
Ejecutarlo: Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
Licencia: MIT
Precio sin confirmar: No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.

Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →

Fuente del skill registrada

La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.

Revisar antes de instalar: Evitar instalación automática

Licencia: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
SKILL.md does not document setup/installation steps for the `common.runners.cli.bg` module that `scripts/run.py` imports; the script itself refers to `install.sh`, but SKILL.md never mentions it.
The troubleshooting reference mentions a `--cost-only` option, but this flag is not listed in the SKILL.md options section, creating a minor documentation inconsistency.
The skill allows arbitrary `--replicate-model` slugs, which execute third-party code on Replicate; this risk is not explicitly called out in the security/trust guidance.
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 20 GitHub stars
Stars/forks activity: 20 stars, 1 forks; issue activity unavailable in current metadata

Abrir auditoría completa

Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

IndexadoRevisado por IA

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente: Mikefluff/skills
Licencia: MIT
Versión: Unknown
Último push de GitHub: 27 sept 2026
Registro actualizado: 30 sept 2026
Ruta de instrucciones: skills/bg-remover/SKILL.md @ 24bbcc2730da

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

60/100

Prometedor

Confianza

51/100

Do not auto-install

Auditoría

70/100

Requiere revisión

Abrir auditoría completa Ver informe de evaluación

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
SKILL.md does not document setup/installation steps for the `common.runners.cli.bg` module that `scripts/run.py` imports; the script itself refers to `install.sh`, but SKILL.md never mentions it.
The troubleshooting reference mentions a `--cost-only` option, but this flag is not listed in the SKILL.md options section, creating a minor documentation inconsistency.
The skill allows arbitrary `--replicate-model` slugs, which execute third-party code on Replicate; this risk is not explicitly called out in the security/trust guidance.
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 20 GitHub stars
Stars/forks activity: 20 stars, 1 forks; issue activity unavailable in current metadata

Verified installs: —
Resultados: —

Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.

Acceso para agentes

La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.

Abrir API de instalación Formato de texto LLM Abrir Manifest Plan de resolución automática

Más detalles

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    "production agents without a repository review",
    "Low GitHub adoption signal",
    "SKILL.md does not document setup/installation steps for the `common.runners.cli.bg` module that `scripts/run.py` imports; the script itself refers to `install.sh`, but SKILL.md never mentions it.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision"
  ],
  "agent_contract": {
    "task_input": "Use bg-remover in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 59/100 Manual review",
      "Audit: 70/100 Needs review",
      "Safety: 30/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "mikefluff-bg-remover (bg-remover)",
      "install_command": "npx skills add Mikefluff/skills --skill bg-remover",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "mikefluff-bg-remover",
      "task": "Use bg-remover in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/mikefluff-bg-remover",
    "api": "https://www.openagentskill.com/api/agent/skills/mikefluff-bg-remover",
    "audit": "https://www.openagentskill.com/skills/mikefluff-bg-remover/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=mikefluff-bg-remover&task=Use%20bg-remover%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20bg-remover%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20bg-remover%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/mikefluff-bg-remover/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/mikefluff-bg-remover"
  }
}

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Creador: Mikefluff
Fuente: Mikefluff/skills
Indexado por: Índice comunitario de OpenAgentSkill

La atribución enlaza al repositorio público o al perfil del creador. Los creadores pueden reclamar la ficha para actualizar las señales de propiedad.

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