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n-n-code

38 skills 152 estrelas no total GitHub ↗

Skills publicadas

Mostrando 12 de 38

story-implementation-planner

4

Model-aware implementation planning workflow for turning a clarified story card plus repo context into an actionable plan for a human or coding agent. Use after user-story-clarifier and story-repo-scout when a story needs ordered implementation steps; avoid for story drafting, repo scouting alone, or direct code implementation.

Desenvolvimento por n-n-code

ui-design-guidance

4

Canonical overlay for graphical UI and web frontend work that is redesign-heavy, frontend-polish-heavy, or UX-review-heavy. Use alongside the repo's implementation skill when visual direction, accessibility, interaction quality, responsive behavior, forms, navigation, or data presentation need stronger design discipline; use `ui-guidance` for routine UI changes.

Design e Frontend por n-n-code

project-platform-diagnose

4

Overlay for environment-sensitive diagnosis — service startup, install issues, platform integration, headless/container behavior, and runtime smoke checks. Portable across repos where build, install, or runtime behavior depends on the local platform.

Design e Frontend #ai por n-n-code

go-testing-with-testify

4

Use when writing, reviewing, or hardening Go tests that rely on stretchr/testify — `assert`, `require`, `mock`, and `suite` — including table-driven tests, subtests, parallel tests, mocks versus hand-written fakes, error-wrap assertions, and flaky test triage with `-race` and `-count`.

Design e Frontend #test por n-n-code

project-release-maintainer

4

Overlay for release-facing docs, install layout, workflows, licenses, and hygiene scripts. Portable across repos with a release/packaging pipeline. Use for publication-facing changes.

Design e Frontend #ai por n-n-code

coding-guidance-cpp

4

C++ implementation and review skill. Use when writing, modifying, refactoring, or reviewing C++ code, especially modern C++17/20/23 code that needs strong ownership, type safety, and testable design. Portable across C++ repos and build systems.

Desenvolvimento #test por n-n-code

tester-mindset

4

Testing mindset skill for context-driven test strategy, exploratory testing, validation design, acceptance criteria, oracles, weak-test detection, edge cases, heuristics, checklists, and evidence review for code, products, plans, or claims. Use when the user asks what to test, how to test, whether evidence is enough, or to bring a tester mindset. Do not use for merely running an existing test comm

Desenvolvimento #ai #test por n-n-code

development-contract-process

4

Portable workflow for repos that require tracked change contracts, verifier evidence, and smallest-proof validation. Use when a repo has a contract policy file or enforced feature-plan checker.

Design e Frontend por n-n-code

user-story-clarifier

4

Workflow for drafting, rewriting, splitting, and auditing story-level requirements, user stories, feature definitions, definitions of done, and acceptance criteria into unambiguous story cards for humans and coding agents. Use for rough tickets, broad epics, or unclear product behavior; avoid for full PRDs, glossary definitions, and code implementation.

Desenvolvimento por n-n-code

documenter-coauthoring

4

Companion overlay for multi-round collaborative drafting of large specs, proposals, decision docs, and similar documents. Use when the workflow needs structured context gathering, explicit outline approval, section-by-section iteration, and reader-testing rather than a direct documentation pass.

Escrita e Conteúdo #test por n-n-code

coding-guidance-bash

4

Bash implementation and review skill. Use when writing, modifying, refactoring, or reviewing Bash scripts, especially automation and repo tooling that need defensive error handling, safe quoting, predictable control flow, and maintainable shell boundaries. Portable across Bash-based repos and script stacks.

Desenvolvimento #ai por n-n-code

prompt-engineering

4

Prompt engineering workflow for designing, rewriting, debugging, evaluating, and optimizing LLM prompts, system prompts, developer prompts, few-shot examples, structured-output instructions, tool-use prompts, and prompt eval cases. Use when prompt behavior, reliability, safety, cost, latency, or model fit is the main task. Do not use for generic prose editing, model selection alone, or ordinary do

Desenvolvimento #ai #llm por n-n-code