Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add marioluciofjr/skills --skill design-thinking-mjvgit clone --depth 1 https://github.com/marioluciofjr/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/marioluciofjr/skills/design-thinking-mjv)<a href="https://agentmods.dev/skills/marioluciofjr/skills/design-thinking-mjv"><img src="https://agentmods.dev/badge/skills/marioluciofjr/skills/design-thinking-mjv/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/marioluciofjr/skills/design-thinking-mjv"><img src="https://agentmods.dev/badge/skills/marioluciofjr/skills/design-thinking-mjv.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00073 | $0.02419 |
| Opus 5 | $0.00036 | $0.01210 |
| Sonnet 5 | $0.00015 | $0.00484 |
| Haiku 4.5 | $0.00007 | $0.00242 |
Grade A, and why
design-thinking-mjv scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Thinking: Inovação em Negócios
Autores: Vianna, Vianna, Adler, Lucena, Russo (MJV) | Páginas: ~165 | Gerado: 2026-05-30
Como usar esta skill
- Sem argumento — carrega frameworks centrais para referência
- Com fase — pergunte sobre
imersão,ideação,prototipação, ouanálise - Com ferramenta — pergunte sobre
personas,blueprint,brainstorming,mapa de empatia, etc. - Com capítulo — peça
ch01,ch02,ch03,ch04 - Explorar — pergunte "quais ferramentas existem?" para ver o índice completo
Frameworks Centrais e Modelos Mentais
1. O Processo DT (4 Fases Não Lineares)
IMERSÃO → ANÁLISE E SÍNTESE → IDEAÇÃO → PROTOTIPAÇÃO
↑_________________↑________________↑_______________|
Use quando: iniciar qualquer projeto de inovação centrado no ser humano. Como: as fases se interpenetram — prototipações ocorrem durante a imersão; análise permeia a ideação. Nunca trate como sequência rígida.
2. Pensamento Abdutivo (base filosófica do DT)
- O que é: formular questionamentos a partir da observação dos fenômenos; a solução não é derivada do problema — ela se encaixa nele.
- Quando usar: ao explorar problemas mal definidos ou soluções não óbvias.
- Contraste: pensamento dedutivo (lógico-cartesiano) fecha possibilidades; abdutivo as expande.
- Regra: "Não se pode solucionar problemas com o mesmo tipo de pensamento que os criou."
3. Reenquadramento (Reframing) — 3 Ciclos
Ciclo Captura → Transformação → Preparação, repetido até novo entendimento emergir:
- Captura: coleta de crenças e suposições dos stakeholders via entrevistas, analogias, encenações.
- Transformação: mapeamento + adição de novas perspectivas (mapas mentais, jornadas, negação).
- Preparação: materiais de sensibilização que estimulam reflexão e levam ao próximo ciclo.
- Use como primeira etapa de qualquer geração de soluções inovadoras.
4. Estratégia de Pesquisa: Primária vs. Secundária
| Dimensão | Pesquisa Primária (campo) | Pesquisa Desk (secundária) |
|---|---|---|
| Fonte | Contato direto com usuário | Internet, livros, publicações |
| Dados | Comportamentos, emoções, narrativas | Tendências, benchmarks, análogos |
| Técnicas | Entrevistas, sombra, sessão generativa | Busca por temas relacionados |
| Saída | Cartões de Insights | Cartões de Insights |
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 181 lines · 73 tokens per session scan A 64e65d2bb9d5
design-thinking-mjv is a skill published in the GitHub repository marioluciofjr/skills (16 stars, last pushed 13d ago), licensed Apache-2.0. It adds 73 tokens to every session and 2,419 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
cocosketch
Generate visual draw.io diagrams from CocoPlus artifacts via a deterministic seven-step pipeline.
create-glyph
Create R-based pictogram glyphs for skill, agent, or team icons in the visualization layer. Covers concept sketching, ggplot2 layer composition using the primitives library, color strategy, registration in the appropriate glyph mapping file and manifest, rendering via the build pipeline, and visual verification of the…
design-cli-output
Design terminal output for a CLI tool with chalk colors, Unicode glyphs, multiple verbosity levels (human, verbose, quiet, JSON), and consistent voice rules. Covers color palette selection, status indicator design, reporter function architecture, ceremony/narrative output variants, and cross-terminal compatibility.…
create-2d-composition
Compose 2D graphics programmatically using SVG generation, diagram layout algorithms, image compositing, and batch processing workflows. Use when generating diagrams, flowcharts, or infographics programmatically, creating reproducible scientific figures, automating production of badges or visual assets, building…
create-3d-scene
Set up a Blender scene programmatically via Python (bpy) with objects, materials, lighting, camera, and environment configuration. Use when creating reproducible 3D visualization scenes, automating product or architectural rendering setup, generating multiple scene variations programmatically, building template scenes…
design-shiny-ui
Design Shiny application UIs using bslib for theming, layoutcolumns for responsive grids, value boxes, cards, and custom CSS/SCSS. Covers page layouts, accessibility, and brand consistency. Use when building a new Shiny app UI from scratch, modernizing an existing app from fluidPage to bslib, applying brand theming…