Execute qualquer Skill no Manus
com um clique

Execute qualquer Skill no Manus com um clique

shot

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Atualizado8 de julho de 2026 às 04:09

Captures and summarizes screenshots from the local desktop or a named window using the bundled capture script. Use when the user asks for a screenshot, screen capture, active-window capture, visual inspection of the current screen, or named-window screenshot. Not for browser-page screenshots when browser MCP tools are already controlling a page.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

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Fonte

ryanthedev

ryanthedev/oberskills

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

Explorador de arquivos

3 arquivos

SKILL.md

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name	shot
description	Captures and summarizes screenshots from the local desktop or a named window using the bundled capture script. Use when the user asks for a screenshot, screen capture, active-window capture, visual inspection of the current screen, or named-window screenshot. Not for browser-page screenshots when browser MCP tools are already controlling a page.

shot

Capture a local screenshot, then summarize the visual result without loading large image data unnecessarily.

Workflow

Choose mode: full, active, or window.
From the plugin root, run python3 skills/shot/scripts/capture.py --mode <mode>. For a named window, add --name '<window name>'.
Inspect the returned thumbnail path when the user asks for visual interpretation.
Return the relevant summary and the saved screenshot path.

If the host has a subagent tool, pass the screenshot path to a fresh reviewer for visual summary. Otherwise use the host's image-inspection tool directly.

Dependencies

The capture script requires Python packages mss and Pillow and may require OS screen-recording permissions.

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Subagent dispatch guidance for the Agent tool — whether to delegate or work inline, the four-part delegation contract, model and effort selection, parallel fan-out sizing, fork vs fresh subagent, and dispatching independent verifier agents. Use before any Agent tool call: spawning subagents, fanning out work across files or research angles, delegating exploration or review, briefing a verifier, or deciding whether delegation is worth it at all. Not for: wording a prompt that isn't an agent dispatch (use oberskills:prompt) or authoring reusable skill and agent definition files — structure, frontmatter, and evals (use oberskills:skill-craft); their prompt bodies (use oberskills:prompt).

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Controls a live Chrome browser through a persistent puppeteer-core MCP connection — click, type, hover, drag, fill forms; navigate pages; take screenshots and export PDFs; read the DOM and accessibility tree; run Lighthouse audits and Core Web Vitals traces; intercept, record, stub, or block network requests; export HAR traffic; emulate devices and network conditions; manage browser storage; upload and download files. Use when interacting with or automating a running browser, clicking elements, taking screenshots, running Lighthouse, capturing network traffic as HAR, checking the accessibility tree, intercepting or stubbing requests, or emulating a device or viewport. Not for: web search or fetching public URLs without a browser session (use web-research), reading a static HTML file already on disk, fixing TypeScript or JavaScript build or compile errors, debugging source code without a running page, or tasks that don't require controlling a live browser.

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Design and review prompts Claude-first — system prompts, reusable agent definitions, long or novel dispatch briefs, pipeline stages, and prompts users will run elsewhere. Two modes: design and adversarial review. Covers Claude model behavior and migration, de-prompting, few-shot design, output-schema ordering, context engineering, prompt security, optimization, non-Claude/Codex target review via references/porting.md in this skill directory, and a verbatim behavior-snippet library. Use when writing, improving, debugging, reviewing, or migrating any prompt. Not for: creating, reviewing, or testing skill files (use skill-craft); routine subagent delegation prompts (use agent).

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skill-craft

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Create, evaluate, and review Claude Code skills and reusable agent definition files (structure, frontmatter, evals). Covers the skill-vs-subagent-vs-hook decision, SKILL.md authoring and frontmatter, trigger-description optimization, baseline-first evals with pressure testing via the skill-eval MCP tools, validation, and packaging. Use when creating a new skill, improving or benchmarking an existing one, reviewing a skill directory, or writing evals for a skill. Not for prompt wording design or review — including the prompt body inside an agent definition (use oberskills:prompt), live subagent dispatch (use oberskills:agent), or prose editing (use oberskills:write).

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web-research

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Runs parallel multi-angle web research at four depth modes (scan, brief, breadth, deep): a planner grounds the query in local context and plans search dimensions, parallel search agents pull verbatim extracts with source URLs, one dimension always hunts counter-evidence, and synthesis is grounded back in the local project. Use when researching a topic, library, or tool on the web, comparing options or products, surveying a landscape of approaches, or checking current, version-sensitive, or time-sensitive information. Not for: driving or automating a live browser session (use oberskills:browser), academic literature search across arXiv or Semantic Scholar, or questions about the current repo, project, or files already on disk — read those directly.

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Edits and reviews prose to remove the AI tells a model cannot see in its own writing — measured detection signals, not intuition: structural rhythm first (sentence-length variance, information density, discourse order), the surface kill-list second (banned phrases, em-dash overuse, hollow openers, hedging), with an optional phased interactive review for longer pieces. Use whenever prose for human readers is being written or edited — blog posts, announcements, docs, emails, READMEs — when text needs humanizing or sounds robotic, and when reviewing someone's writing. Not for: wording prompts or system-prompt text (use oberskills:prompt), converting markdown for platforms like Slack or Notion (use penman), or writing code, comments, docstrings, or API reference docs.

2026-07-0857

name	shot
description	Captures and summarizes screenshots from the local desktop or a named window using the bundled capture script. Use when the user asks for a screenshot, screen capture, active-window capture, visual inspection of the current screen, or named-window screenshot. Not for browser-page screenshots when browser MCP tools are already controlling a page.

shot

Capture a local screenshot, then summarize the visual result without loading large image data unnecessarily.

Workflow

Choose mode: full, active, or window.
From the plugin root, run python3 skills/shot/scripts/capture.py --mode <mode>. For a named window, add --name '<window name>'.
Inspect the returned thumbnail path when the user asks for visual interpretation.
Return the relevant summary and the saved screenshot path.

If the host has a subagent tool, pass the screenshot path to a fresh reviewer for visual summary. Otherwise use the host's image-inspection tool directly.

Dependencies

The capture script requires Python packages mss and Pillow and may require OS screen-recording permissions.