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People & portrait photography via Google Gemini (Nano Banana Ultimate). Triggers on: portrait, headshot, lifestyle photo, people, person, editorial photo, team photo, professional photo, face, human.
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.
Baseado na classificação ocupacional SOC
Stages the changes produced in this session, excludes junk and secrets, and generates a conventional commit. Triggered when the user runs /devx-git:ci or asks to commit.
Updates the current branch onto an origin branch via rebase, with a recoverable backup, safe conflict resolution, and recovery steps. Use when the user runs /rebase or asks to rebase/update their branch onto main (or another origin branch).
Audits an agent, tool loop, or inference request across six dimensions (prompt engineering, tools definition, context engineering, cache usage, evaluation, guardrails) and produces a scored gap analysis with severity ratings and concrete remediations. Framework-agnostic; recognizes patterns from Anthropic SDK, OpenAI SDK, Vercel AI SDK, and OpenAI Agents SDK. Triggers on: audit my agent, review tool loop, audit inference request, agentic engineering review, audit prompt, review agent code, check prompt caching, evaluate guardrails.
Rewrites a given prompt or agent definition by applying Anthropic prompt-engineering best practices — clarity and directness, context and motivation, XML structure, role assignment, long-context layout, output format control, communication-style calibration, and parallel-tool-call affordance. Produces a before/after with per-change rationale. Triggers on: optimize this prompt, improve my prompt, rewrite prompt, prompt optimization, refine system prompt, tune agent prompt, polish prompt for production.
Analyzes project architecture and generates ASCII state machine and sequence diagrams. Use for explaining a project, analyzing architecture, tracing an entrypoint, showing a state machine, or generating a sequence diagram.
Audits a project's agentic harness (CLAUDE.md, AGENTS.md, .claude/rules, .claude/settings.json) and refactors it into a layered, path-scoped configuration that loads only what is relevant. Rewrites CLAUDE.md and AGENTS.md as a thin critical-rules layer, segments domain rules with `paths:` frontmatter, and adds deny-first permission guardrails. Use for: fixing the harness, auditing claude.md, refactoring agentic configuration, improving agent rules, segmenting rules by path, reviewing settings.json, harness review, or when claude.md is too long.
| name | banana-people |
| description | People & portrait photography via Google Gemini (Nano Banana Ultimate). Triggers on: portrait, headshot, lifestyle photo, people, person, editorial photo, team photo, professional photo, face, human. |
| allowed-tools | Bash(uv:*), Bash(ls:*), Read |
Input: $ARGUMENTS (optional — subject description and scene)
If $ARGUMENTS is provided, use it as the portrait brief and skip to prompt building. If empty, ask about the subject and setting.
uv installedGEMINI_API_KEY environment variable set (get one at https://aistudio.google.com/apikey)Build every people/portrait prompt using this structure:
[Person: age/build/expression/clothing] + [Natural Action/Pose] + [Real-World Environment] + [Portrait Framing + Rule of Thirds] + [Natural Light Photography, specific lens]
| Domain | Aspect Ratio | Lens | Notes |
|---|---|---|---|
| Headshot | 3:4 | 85mm f/1.4 | Tight crop, shallow depth of field, subject fills frame |
| Editorial / Lifestyle | 3:2 | 35mm f/2.0 | Environmental context, wider framing |
| Group scene / Team | 16:9 | 24mm f/4.0 | Deep focus, everyone sharp |
| Resolution | 2K | All people domains default to 2K | |
| Lighting | Natural window light or golden hour | Soft, flattering, directional |
uv run "${CLAUDE_PLUGIN_ROOT}/scripts/banana.py" \
--prompt "<detailed prompt following the formula>" \
--output "<YYYY-MM-DD-HH-MM-SS-descriptive-name>.png" \
--resolution 2K \
--aspect-ratio <ratio> \
--model gemini-3-pro-image-preview
When the user provides an existing photo to modify (e.g., change background, adjust lighting, swap clothing):
uv run "${CLAUDE_PLUGIN_ROOT}/scripts/banana.py" \
--prompt "<edit instruction: what to change AND what to keep>" \
--output "<YYYY-MM-DD-HH-MM-SS-descriptive-name>.png" \
--input-image "/path/to/source.png" \
--resolution 2K \
--aspect-ratio <ratio>
For edits, describe both the change and what must stay identical:
"Change the background to a warm golden-hour park scene. Keep the subject's face, expression, clothing, and pose exactly the same."
Up to 14 input images can be passed (repeat --input-image for each).
See references/prompts.md for ready-to-use example prompts covering headshots, lifestyle, editorial, group, and environmental portrait scenarios.